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At Pfizer, technology accelerates every facet of our mission. Within the AI Center of Excellence, the AI Quality Engineering team embeds trust, quality, and responsibility into every AI solution we deliver.As a Staff QA Engineer, you will lead the design and operation of enterprise‑grade evaluation frameworks, guardrails, and continuous quality pipelines that keep our models performant and safe. Your work enables teams across the company to ship AI solutions with confidence—meeting rigorous standards for accuracy, fairness, security, and compliance while driving measurable impact for patients and colleagues alike.Why this Role MattersThis role is pivotal in shaping the organization’s AI strategy and technical excellence. Your leadership will accelerate the adoption of cutting-edge AI technologies, foster a culture of innovation, and ensure that AI solutions are safe, reliable, and impactful at scale.ROLE RESPONSIBILITIES<ul><li>Define &amp; lead enterprise AI evaluation frameworks for model performance, robustness, fairness, bias, and safety across LLMs, traditional ML, and agentic AI systems.</li><li>Architect and operate pre‑release &amp; continuous evaluation (batch + online) integrated with CI/CD, including dataset versioning, synthetic test generation, and production quality gates.</li><li>Design, implement, and maintain guardrail services for hallucinations, prompt injection, PII leakage, unsafe content, and policy violations; instrument telemetry for detection, alerting, and drift tracking.</li><li>Run structured red‑teaming programs (jailbreaks, data exfiltration, adversarial prompts) and drive measurable mitigation with engineering teams; publish risk findings and remediation plans.</li><li>Encode quality &amp; compliance policies as automated checks, partnering with Enterprise Architecture and Compliance to meet internal standards and emerging regulations (e.g., EU AI Act).</li><li>Establish cross‑use‑case quality SLOs &amp; dashboards, reporting enterprise‑wide quality and safety metrics; lead post‑incident reviews and prevention programs.</li><li>Mentor QA/AI engineers on evaluation science, test design, and responsible AI practices; uplift engineering excellence and documentation quality across teams.</li><li>Collaborate with AI Engineering, Integrations &amp; Enablement teams to ensure evaluation hooks, observability, and policy gates are first‑class in our SDKs, APIs, and shared components.</li><li>Collaborate with AI Innovation team on continuously assess emerging evaluation methods &amp; tools, run rapid prototypes and PoCs, and advise on strategic adoption that improves quality, safety, and developer experience.</li></ul>BASIC QUALIFICATIONS<ul><li>Advanced degree in Computer Science, Engineering, Data Science, or related field.</li><li>7+ years in Software QA/AI QA/Quality Engineering, including ownership of test strategy for distributed or data‑intensive systems</li><li>Demonstrated experience building evaluation pipelines for ML/LLM systems: design of datasets/benchmarks, metrics for accuracy/robustness, and failure‑mode analysis (e.g., hallucination, bias, toxicity).</li><li>Strong fluency in software engineering best practices (automated testing, version control, CI/CD) and observability (logging, metrics, tracing) for model‑centric applications.</li><li>Hands‑on with MLOps concepts (model serving, deployment, feature/data versioning) and policy gating in release pipelines.</li><li>Ability to produce clear technical documentation (evaluation protocols, runbooks, API references) and developer‑friendly guides that scale adoption.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Experience in pharma/healthcare or other regulated environments (validation, auditability, GxP-adjacent controls).</li><li>Deep knowledge of LLM safety &amp; evaluation techniques: prompt‑injection defense, content moderation, RAG evaluation, context integrity, and bias/fairness testing.</li><li>Practical experience with evaluation libraries &amp; frameworks (e.g., Ragas, TruLens, DeepEval, OpenAI Evals) and guardrail tooling integrated with platform SDKs.</li><li>Familiarity with agentic AI behaviors and evaluation, including planner/tool‑use reliability, memory safety, and multi‑agent orchestration checks.</li><li>Experience leading red‑team programs and incident response; evidence of measurable risk reduction and improvement in safety KPIs. (Competency expectations at Staff level)</li><li>Contribution to open‑source or industry forums on Responsible AI, safety evaluation, or testing.</li></ul>&nbsp;

Staff QA Engineer 4949292

Our client is a leading international tech company that has established an R&amp;D Center and Tech Hub in Thessaloniki focused on hardware, electronics, and mobile software solutions. They are currently looking for a&nbsp;Senior Software QA Engineer&nbsp;to enhance their dynamic team in&nbsp;Thessaloniki. This position offers the flexibility for partially remote work.Responsibilities:<ul><li>Lead testing and quality assurance projects for the digital products of the company</li><li>Mentor and coach colleagues</li><li>Ensure deliverables are signed-off in time, scope, and budget</li><li>Research new technologies to determine how they could be applied in new ways to solve problems</li></ul>Candidate’s profile:<ul><li>MSc in Computer Science, Electrical Engineering, or similar studies</li><li>Experience in a similar position, with at least 4 years in a lead role</li><li>Understanding of frontend stack fundamentals</li><li>Experience in web frameworks (e.g. Python/Django) and relational databases (preferably PostgreSQL)</li><li>Knowledge of CI/CD, DevOps and automated testing principles</li><li>Experience with Cloud Services, especially Azure</li><li>Excellent English communication skills are required and German knowledge is a plus</li></ul>Employer offers:<ul><li>Competitive compensation</li><li>Flexible working models</li><li>Private Health Insurance</li><li>Professional growth and development in an international corporate environment</li></ul>If you are interested, please send your CV to&nbsp;alexandros.iosifidis@grecruitment.com&nbsp;.

Senior Software QA Engineer (Hybrid)

As Senior Manager, Evaluation &amp; QA Engineer (Individual Contributor), you will own the quality, evaluation, and reliability strategy for our pip‑installable AI Capabilities SDK and its reusable modules (RAG components, agent/tool cookiecutters, MCP adaptors, standardized interfaces). You will design evaluation frameworks, test harnesses, and automation pipelines that make quality measurable and repeatable—from unit and integration tests to adversarial/fuzz testing, performance/cost benchmarking, and safety/privacy checks.You will collaborate closely with:<ul><li>Embedded AI Architects and Solution Designers to codify evaluation requirements that mirror real solution patterns.</li><li>AI Engineering to validate PI increments, integrate external technologies, and capture model/agent‑level failure modes.</li><li>DevOps Engineers to wire evaluation gates into CI/CD and release trains.</li><li>Developer Experience Engineers to ensure developers receive clear, actionable evaluation reports and quickstarts.</li><li>Digital Creation Centers and Forward Impact Teams (FITs) to gather field feedback and ensure tests reflect production reality.</li></ul>&nbsp;Why this Role MattersFor modular AI capabilities to scale safely and predictably, we need evidence‑driven quality. This role turns evaluation into a first‑class, automated discipline—ensuring every SDK change is validated for correctness, performance, safety, and operability. You will reduce regressions, raise confidence, and accelerate adoption across products and services that rely on the SDK as their backbone.ROLE RESPONSIBILITIES1) Evaluation Strategy &amp; Quality Architecture<ul><li>Define the evaluation strategy for SDK modules (parsers, retrievers, rankers, connectors, agent tools, MCP adaptors), including metrics, datasets/fixtures, benchmarks, and acceptance thresholds.</li><li>Establish quality gates for release: test coverage minimums, latency/throughput/cost budgets, stability envelopes, and backward compatibility checks.</li><li>Establish source code writing principles that align with the widely accepted coding standards and ensure high maintainability degree.</li><li>Create reproducibility standards (seeds, dataset/version pins, environment parity) and evidence capture (reports, artifacts) for auditability.</li></ul>2) Test Harnesses &amp; Automation<ul><li>Build unit, integration, contract, property‑based, and fuzz/adversarial test harnesses for SDK components; standardize fixtures for RAG and agent scenarios (vector stores, document corpora, tool execution).</li><li>Partner with DevOps to integrate tests and quality gates into CI/CD (parallelization, matrix runs, caching) and to fail builds on significant regressions or unmet quality bars.</li><li>Design benchmark suites for performance and cost profiling (e.g., latency distributions, throughput, memory/CPU footprints) with clear pass/fail criteria.</li></ul>3) Safety, Privacy &amp; Guardrails<ul><li>Codify safety evaluations (toxicity/abuse prompts, jailbreak resistance, sensitive data leakage risks) and policy adherence tests for agent/tool behaviors.</li><li>Validate security-by-design aspects of SDK usage (authn/z integration points, secrets handling, data minimization); coordinate with Platform/Security for service consumers.</li><li>Ensure privacy and compliance checks are represented in test plans and evidence bundles (PII handling, retention, deletion workflows).</li></ul>4) Observability-by-Design for Libraries<ul><li>Work with Capability Architecture and DevOps to embed diagnostic hooks suitable for libraries (structured logging, metrics/traces toggles) and define SLIs relevant to consuming services.</li><li>Verify error models (exceptions/types/codes) and retry/backoff behaviors; ensure runbooks and troubleshooting guides are informed by evaluation results.</li></ul>5) Data &amp; Datasets Governance for Evaluation<ul><li>Curate and version evaluation datasets (synthetic and real-world samples where appropriate); maintain data lineage and provenance.</li><li>Implement dataset health checks (drift, representativeness, coverage) and red‑team suites that evolve with product use cases.</li><li>Align dataset usage with legal/privacy guidance; document constraints and approvals.</li></ul>6) Developer Experience &amp; Enablement<ul><li>Produce evaluation reports and quality dashboards that developers can interpret quickly (summary + drill‑downs + diffs vs. baseline).</li><li>Collaborate with Technical Writers and Developer Experience engineers to include evaluation guidance, quickstarts, and troubleshooting in SDK docs.</li><li>Provide templates for teams to extend evaluation suites when contributing new modules via feature branches.</li></ul>7) Collaboration &amp; Continuous Improvement<ul><li>Close feedback loops with Embedded Architecture, Solution Design, AI Engineering, Creation Centers, and FITs to keep evaluation aligned with production realities.</li><li>Lead post‑release and incident reviews to improve test coverage, resilience, and guardrails.</li><li>Track and improve quality KPIs (escaped defects, regression counts, benchmark variance, time-to-detect/repair).</li></ul>MEASURES OF SUCCESS<ul><li>Safety &amp; compliance: Guardrail tests pass; reduced policy violations; documented evidence meets audit requirements.</li><li>DX &amp; adoption: Clear evaluation reports improve developer confidence; faster time‑to‑first‑success for consuming teams.</li><li>Continuous Improvement: Actionable insights from incidents and field feedback lead to expanded test suites and stronger guardrails.</li><li>Process Excellence: Data-driven evaluation of the efficiency, quality and consistency of the SDK testing and quality workflows.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>7+ years in QA/Quality Engineering/Evaluation for SDKs, libraries, or platform components in software/AI contexts.</li><li>Hands‑on experience building automated test frameworks (unit/integration/contract) and benchmark suites; strong Python testing fluency (e.g., pytest, property-based testing, fuzzing).</li><li>Proficiency with CI/CD systems (GitHub Actions, Azure DevOps, GitLab CI) and integrating quality gates (coverage, performance, security).</li><li>Working knowledge of AI/ML or GenAI patterns (RAG, vector stores, agents/tools) and evaluation considerations for these workloads.</li><li>Strong grasp of reproducibility, data governance, and observability‑by‑design for libraries.</li></ul>Preferred Qualifications<ul><li>Experience with adversarial/red‑teaming methodologies for LLM‑enabled features and safety guardrails.</li><li>Background in performance engineering (profiling, optimization, latency/cost analysis) for Python libraries.</li><li>Familiarity with security and privacy testing (static analysis, secrets scanning, dependency hygiene, PII handling).</li><li>Exposure to regulated environments (healthcare/pharma/finance) and audit‑ready evidence capture.</li><li>Comfortable collaborating across architecture, DevOps, DX, LLMOps, platform, and product teams in matrixed organizations.</li></ul>

Senior Manager, Evaluation & QA Engineer 4949162

Your Tasks<ul><li>Writing&nbsp;and maintaining unit tests with using frameworks like Jest, Mocha, or Chai</li><li>Building&nbsp;test plans that cover functionality, edge cases, and performance bottlenecks</li><li>Perform code reviews with&nbsp;focus on test coverage and&nbsp;structure</li><li>Debug failed tests and track bugs trough resolution</li><li>Creating mock services and data for isolated testing</li><li>Documenting testing strategies and maintaining QA guides for consistency</li><li>Close collaboration with the development team</li></ul>Your Profile<ul><li>Experience in QA/testing with a strong background in Node.js application testing (2 years or more)</li><li>Proficient in JavaScript/TypeScript and modern testing tools</li><li>Familiar with API testing, mocking strategies and using Git, JIRA and test data&nbsp;tools</li><li>Proactive in identifying weaknesses&nbsp;and improving test&nbsp;coverage</li><li>Structured, communicative&nbsp;and solution-oriented&nbsp;with a&nbsp;focus on code quality, test coverage and security</li><li>Fluency in written and spoken English</li></ul>We Offer<ul><li>30 days of vacation&nbsp;(regardless of the length of service)</li><li>Private health insurance for our employees and their dependents (spouse/children)</li><li>In-depth, comprehensive training (approx. 1-3 months) in Germany at our expenses included one monthly flight back to Greece during the whole training period</li><li>Go for EAT - Ticket restaurant card</li><li>Modern hybrid way of working, characterized by flexible working arrangements</li><li>Team-oriented working environment and a broad variety of tasks in an international and diverse team, based on trust and transparency</li><li>Continuous opportunity for personal and professional development and learning</li><li>Personal company hardware</li><li>Free snacks and beverages</li></ul>&nbsp;

Node.js Unit Tester/ Quality Assurance (QA) Engineer (m/f/d) Thessaloniki

As a Software QA Engineer, you will design, develop, and execute manual and automated tests, maintain test plans and automation suites, monitor QA metrics, and support application releases to ensure the quality and reliability of software across functional, integration, performance, and API layers.Responsibilities:<ul><li>Design test plans and create test data for functional and integration testing based on business and technical requirements</li><li>Develop test plans for usability and performance testing aligned with non-functional requirements</li><li>Execute test cases, monitor test sessions, report defects, and perform quality checks after issue resolution</li><li>Analyze, identify, and execute regression tests to ensure existing functionality is not affected by code changes</li><li>Review specifications, test scenarios, scripts, and test data prepared by other team members</li><li>Document all testing activities, including test plans, traceability matrices, daily test session reports, and final test summaries</li><li>Monitor and follow up on daily quality assurance metrics</li></ul>Automation Testing Responsibilities:<ul><li>Implement functional automated tests for the front-end using Selenium</li><li>Develop automated back-end tests using JUnit</li><li>Create and execute API tests using Postman</li><li>Design and run performance tests using Locust</li><li>Support application releases by stabilizing and monitoring automated test executions</li><li>Integrate automated tests into CI/CD pipelines</li><li>Maintain and improve the existing automated test suite</li></ul>QualificationWHO WE´RE LOOKING FOR?<ul><li>BSc degree in Computer Science, Engineering, Information Technology or other related fields</li><li>3 to 5 years of experience in a testing environment within cross-functional teams</li><li>Solid understanding of software testing principles, methodologies, and best practices</li><li>Practical experience in writing and maintaining test scripts using scripting languages</li><li>Proficiency with test management and issue tracking tools such as JIRA and Xray</li><li>Strong hands-on experience in test automation using&nbsp;Selenium with Java&nbsp;(mandatory)</li><li>Familiarity with tools such as SoapUI, GitHub, Jenkins, and CI/CD practices</li><li>Working knowledge of SQL and relational databases</li><li>Strong skills in documenting and troubleshooting software defects</li><li>Excellent verbal and written communication skills in English</li><li>Any&nbsp;ISTQB certification will be considered a strong asset.</li></ul>WHAT´S IN IT FOR YOU?<ul><li>We value your contribution, which is why we offer a competitive and attractive salary package.</li><li>Your wellbeing is our priority – from day one, you are covered by a comprehensive health insurance plan.</li><li>Benefit from a convenient meal allowance provided through a ticket restaurant card.</li><li>Take part in impactful projects that make a difference at both the national and European level.</li><li>Continue to grow with us through in-house training sessions and a wide range of online learning opportunities.</li><li>Join a collaborative culture where we regularly celebrate achievements and milestones together.</li></ul>

Software QA Engineer for Arηs Greece, Part of Accenture

As Senior Manager, Developer Experience (DX) &amp; Community Enablement Engineer (Individual Contributor), you will be the developer-first advocate for our pip-installable AI Capabilities SDK. Your mission is to make the SDK intuitive, discoverable, and delightful to use, while enabling a thriving internal and external contribution ecosystem. You will design DX standards, build quickstarts, sample apps, and scaffolding tools, and lead community enablement programs that accelerate adoption and reduce friction.You will collaborate closely with:<ul><li>Embedded AI Architecture and Solution Design Teams to ensure SDK ergonomics align with real-world solution patterns.</li><li>AI Engineering for PI increments and integration of external technologies.</li><li>Digital Creation Centers and Forward Impact Teams (FITs) as primary consumers, capturing feedback to improve usability.</li><li>Technical Writers, DevOps, and Evaluation &amp; QA Engineers to ensure documentation, pipelines, and quality gates support a seamless developer experience.</li></ul>Why this Role MattersEven the most powerful SDK fails without great developer experience. This role ensures our AI capabilities are easy to adopt, extend, and contribute to, reducing bespoke engineering and accelerating time-to-first-success across the enterprise. By combining DX engineering with community enablement, you create a multiplier effect for innovation and reuse.ROLE RESPONSIBILITIES1) Developer Experience Architecture<ul><li>Define DX standards for SDK ergonomics: API clarity, naming conventions, error models, configuration patterns, and backward compatibility.</li><li>Build quickstarts, sample apps, and notebooks for common AI patterns (RAG pipelines, agent workflows, tool integration).</li><li>Develop cookiecutters/CLI scaffolds that prewire tests, telemetry, and guardrails for new modules or contributions.</li></ul>2) Documentation &amp; Discoverability<ul><li>Collaborate with Technical Writers to produce developer-focused guides, tutorials, and code recipes.</li><li>Ensure API docs are complete, searchable, and versioned; integrate doc generation into CI/CD pipelines.</li><li>Maintain pattern libraries and exemplars that show “when, why, and how” to use SDK components.</li></ul>3) Community Enablement &amp; Contribution Workflows<ul><li>Design and maintain open-source-style contribution workflows: feature branches, PR checks, mandatory tests/docs, and review guidelines.</li><li>Build tooling and templates for contributors to extend SDK modules safely and consistently.</li><li>Run enablement programs (brown bags, office hours, pattern showcases) to onboard internal teams and external contributors.</li></ul>4) Feedback Loops &amp; Continuous Improvement<ul><li>Capture DX feedback from Digital Creation Centers, FITs, and community contributors; prioritize improvements in APIs, docs, and tooling.</li><li>Partner with DevOps to streamline build/release ergonomics (artifact discoverability, changelogs, migration guides).</li><li>Collaborate with Evaluation &amp; QA Engineers to surface evaluation results in developer-friendly formats (dashboards, diffs vs. baselines).</li></ul>5) Advocacy &amp; Evangelism<ul><li>Act as the voice of the developer in design reviews; ensure APIs and workflows minimize friction and cognitive load.</li><li>Promote reuse and contribution culture across the enterprise; highlight exemplars and celebrate community impact.</li><li>Partner with AI Capability Architecture Lead to align DX priorities with capability roadmap and strategic goals.</li></ul>MEASURES OF SUCCESS<ul><li>DX quality: Positive developer feedback; reduced onboarding time; faster time-to-first-success.</li><li>Adoption &amp; reuse: Increased SDK usage across products; higher contribution rates from internal teams and community.</li><li>Documentation completeness: API docs and guides consistently meet standards; discoverability improved.</li><li>Contribution workflow efficiency: PR cycle times reduced; compliance with tests/docs near 100%.</li><li>Community engagement: Active participation in enablement programs; measurable impact on SDK evolution.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>7+ years in software engineering or developer experience roles, with strong focus on SDK/API usability and enablement.</li><li>Proficiency in Python and experience building developer-facing libraries (packaging, semantic versioning, backward compatibility).</li><li>Hands-on experience with DX tooling (cookiecutters, CLI scaffolds, doc generators like Sphinx or MkDocs).</li><li>Strong understanding of CI/CD pipelines, contribution workflows, and automated doc/test integration.</li><li>Excellent communication skills; ability to translate complex technical concepts into clear, actionable guidance.</li></ul>Preferred Qualifications<ul><li>Familiarity with GenAI/LLM ecosystems (RAG, agent frameworks, MCP adaptors) and their developer integration patterns.</li><li>Familiarity in designing and implementing Developer Experience (DX) evaluation frameworks</li><li>Experience running developer enablement programs and managing community contribution workflows.</li><li>Background in open-source practices and multi-language SDK delivery (Python primary; TypeScript/Java nice-to-have).</li><li>Exposure to observability and security-by-design principles for developer-facing libraries.</li><li>Comfortable collaborating across architecture, QA, DevOps, DX, platform, and product teams in matrixed organizations.</li></ul>

Senior Manager, Developer Experience & Community Enablement Engineer 4949160

The Director, AI Quality Engineering Lead ensures that AI systems across the enterprise are safe, fair, reliable, compliant, and observable from pre‑release through continuous operations. This role designs and operates enterprise evaluation frameworks (quality, bias/fairness, robustness, privacy), leads red‑teaming and guardrail development, encodes policy and regulatory requirements as automated checks, and drives metric reporting and post‑incident learning across AI programs. The lead partners closely with Enterprise Architecture, Compliance, Legal/Privacy, Security, Data Governance, and product/engineering teams to enforce quality and safety gates and enable responsible scale. (Aligned to Corporate Policy and Responsible AI principles.) Reporting into the Head of Applied AI Engineering, you will manage a team of QA Engineers and AI Engineers. This role blends deep technical leadership, product engineering strategy, and direct enablement of enterprise use cases and services. You will partner closely with business, legal and technical stakeholders to design and deliver robust, scalable solutions that demonstrate the value of AI across our enterprise in a safe and compliant way. This role is execution-oriented with strong influence on building AI solutions responsibly.Evaluation and Test Strategy<ul><li>Define and run evaluation frameworks for LLMs and multi-modal systems covering performance, fairness, bias, robustness, safety, and privacy.</li><li>Build automatic + human-in-the-loop evaluation pipelines with reproducible scoring, statistical significance, and error analysis.</li><li>Establish SLOs/SLIs for quality (e.g., grounded accuracy, hallucination rate, privacy leak rate, harmful-content rate).</li></ul>Red-Teaming &amp; Safety Guardrails<ul><li>Design and run red-teaming against prompt injection, jailbreaks, sensitive data leakage, tool-abuse, and retrieval abuse.</li><li>Develop guardrail solutions (classification, content safety, PII/PHI detection, grounding checks, allow/deny lists, rate limiting, output filtering) to mitigate hallucinations, leakage, and compliance violations.</li><li>Maintain attack libraries and scenario banks; simulate adversarial behavior and monitor adaptive attacks over time.</li></ul>Pre‑Release Gating &amp; Continuous Assurance<ul><li>Operate pre‑release evaluation gates with baselines, regression checks, canary/A–B testing, and rollback criteria.</li><li>Run continuous evaluation in production with synthetic &amp; real traffic (shadow/ghost testing) and drift, bias, and toxicity monitoring.</li></ul>Stakeholder Leadership &amp; Culture<ul><li>Coach product teams on responsible AI practices and establish quality ownership norms.</li><li>Build a community of practice across Engineering, Security, Data Governance, and Risk—standardizing test data, benchmarks, and review rituals.</li><li>Mentor engineers building evaluation, red-team, and guardrail capabilities.</li></ul>BASIC QUALIFICATIONS<ul><li>7+ years in ML/AI/Platform/Quality roles, including 3+ years evaluating production systems.</li><li>Advanced degree in Computer Science, Engineering or related discipline.</li><li>Proven design &amp; operation of evaluation harnesses and policy-as-code checks in CI/CD.</li><li>Hands-on Python and expertise with evaluation and safety tooling such as: OpenAI Evals, Ragas/LangSmith, DeepEval, Azure AI Content Safety / OpenAI Moderation, Presidio, Guardrails.ai, Nemo, MLFlow, Grafana, Kibana, Azure monitor</li><li>Cloud &amp; MLOps: Azure/AWS, CI/CD (GitHub Actions/Azure DevOps, feature stores, vector DBs (Azure AI Search, OpenSearch, Pinecone), testing in pipelines.</li><li>Excellent communication with executives and engineers</li><li>Experience leading an engineering team.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Led an AI safety/quality function or enterprise red-team program.</li><li>Prior work with AI based applications, tool use/orchestration, and enterprise data governance.</li><li>Regulatory literacy (e.g., GDPR, EU AI Act readiness), and experience collaborating with Compliance/Risk, Security, and Legal.</li><li>Strong grasp of red-team techniques (prompt/indirect injection, jailbreaks, training data extraction, membership inference, model poisoning, tool abuse).</li><li>Experience with retrieval grounding checks, memory governance, and multi-tenant safety controls.</li></ul>

Director, AI Quality Engineering Lead 4946565

As Manager, Software Engineer (Individual Contributor), you will contribute to the design and development of modular AI capabilities within the Enterprise AI Capability Design Team. Your focus will be on implementing SDK components, interfaces, and supporting modules that enable internal teams and the broader community to integrate AI capabilities seamlessly into applications. You will work under the guidance of senior engineers and architects, gaining exposure to API design, modular architecture, and cloud-native development while progressively taking ownership of components.You will collaborate closely with:<ul><li>Embedded AI Architecture Team and Solution Design Team to ensure SDK interfaces align with real-world solution patterns.</li><li>AI Engineering Team for PI increments and integration of external technologies.</li><li>Digital Creation Centers and Forward Impact Teams (FITs) to capture feedback and improve usability.</li></ul>This role is designed for engineers with strong software development experience and a growth mindset, eager to deepen expertise in AI engineering, system design, and SDK architecture.Why this Role MattersManager-level Software Engineers are the builders and maintainers of our AI capability SDK. By delivering well-structured, tested, and documented components, you enable reuse, scalability, and developer experience excellence—critical for accelerating AI adoption across the enterprise.ROLE RESPONSIBILITIES1) SDK Component Development<ul><li>Implement modular SDK components for AI capabilities, including:<ul><li>RAG pipeline elements (parsers, chunkers, enrichers, retrievers, connectors)</li><li>Agent and tool cookiecutters with MCP adaptors</li><li>Interfaces for community-driven extensions</li></ul></li><li>Ensure code adheres to software quality standards for reusability, maintainability, security, readability, and versioning.</li></ul>2) Testing &amp; Quality Assurance<ul><li>Write unit and integration tests for SDK components; collaborate with QA engineers to ensure coverage at various levels (statement / branch / function etc…).</li><li>Integrate logging, metrics, and tracing into SDK components to support observability and troubleshooting.</li><li>Participate in code reviews and maintain compliance with coding standards and security guidelines.</li><li>Contribute to benchmarking and performance validation for new modules.</li></ul>3) Documentation &amp; Developer Experience<ul><li>Produce clear API documentation, usage guides, and code samples for assigned components.</li><li>Support Developer Experience engineers in creating quickstarts and integration guides.</li><li>Ensure documentation aligns with Confluence structure and department standards.</li></ul>4) Collaboration &amp; Continuous Improvement<ul><li>Work closely with Senior Manager, Software Engineer and AI Capability Architecture Lead for design guidance and technical reviews.</li><li>Partner with Embedded AI Architects and Solution Designers to validate SDK interfaces against solution patterns.</li><li>Engage with AI Engineering Team to integrate external technologies and align on PI increments.</li></ul>5) Growth &amp; Skill Development<ul><li>Build proficiency in cloud-native architecture, AI integration patterns, and modular SDK design.</li><li>Participate in knowledge-sharing sessions, retrospectives, and enablement forums.</li><li>Progressively take ownership of more complex components and contribute to architectural discussions.</li></ul>MEASURES OF SUCCESS<ul><li>Component quality: Code meets standards for modularity, maintainability, and performance.</li><li>Testing coverage: High unit/integration test coverage; minimal defects post-release.</li><li>Documentation completeness: Clear API docs, usage guides, and samples delivered with each component.</li><li>Collaboration effectiveness: Positive feedback from senior engineers, architects, and consuming teams.</li><li>Skill progression: Demonstrated growth toward senior-level responsibilities and architectural contributions.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>5+ years in software engineering roles with experience in API development and modular design.</li><li>Proficiency in Python (required) and familiarity with Java or TypeScript.</li><li>Experience with cloud platforms (Azure, AWS, or GCP)and containerized environments.</li><li>Strong understanding of CI/CD pipelines, automated testing, and code quality practices.</li><li>Ability to produce clear documentation and developer-friendly code samples.</li><li>Proficiency in Git-based workflows (feature branches, PR reviews, semantic versioning)</li></ul>Preferred Qualifications<ul><li>Exposure to AI/ML frameworks (PyTorch, TensorFlow) and GenAI/LLM ecosystems (RAG, vector databases, agent frameworks).</li><li>Contribution to open-source projects and/or community-driven extensions.</li><li>Understanding of observability and security-by-design principles.</li><li>Experience with performance tuning and benchmarking for SDK components.</li></ul>

Manager, Software Engineer 4949164 

As Senior Manager, Software Engineer (Individual Contributor), you will be a senior technical authority within the Enterprise AI Capability Design Team, responsible for designing and implementing modular, reusable AI capabilities in the form of SDKs and associated components. Your mission is to build developer-first, extensible SDKs that enable internal teams and the broader community to integrate AI capabilities seamlessly into applications, while maintaining consistency, quality, and performance.You will design and implement core modules for RAG pipelines, agent and tool cookiecutters, MCP adaptors, and standardized interfaces that allow community-driven extensions. You will also collaborate on automated pipelines for code quality checks, benchmarking, and integration tests, ensuring every capability meets enterprise-grade standards for reliability, security, and observability.This role requires close collaboration with:<ul><li>Embedded AI Architecture Team and Solution Design Team to prioritize capabilities and define SDK interfaces aligned to real-world solution patterns.</li><li>AI Engineering Team, which actively develops PI increments of the SDK and integrates external technologies.</li><li>Digital Creation Centers and Forward Impact Teams (FITs), who will consume these capabilities in product delivery and provide feedback for continuous improvement.</li></ul>Why this Role MattersThis role is the engineering backbone of our AI capability strategy. By delivering high-quality SDKs and reusable modules, you enable rapid adoption, reduce bespoke engineering, and ensure parity between SDK and service implementations. Your work directly impacts developer experience, scalability, and the ability to operationalize AI capabilities across the enterprise.ROLE RESPONSIBILITIES1) SDK &amp; Module Development<ul><li>Design and implement modular SDK components for AI capabilities, including:<ul><li>RAG pipeline modules (parsers, chunkers, enrichers, retrievers, rankers, connectors)</li><li>Cookiecutters for agents and tools with MCP adaptors</li><li>Standardized interfaces for community-driven extensions</li></ul></li><li>Ensure SDKs are extensible, composable, and versioned with clear upgrade paths.</li></ul>2) Collaboration &amp; Interface Definition<ul><li>Work closely with Embedded AI Architects and Solution Designers to define SDK interfaces and design patterns based on prioritized use cases.</li><li>Partner with AI Engineering Team to integrate external technologies, validate new components, and align on PI increments for SDK evolution.</li><li>Engage with Digital Creation Centers and FITs to capture feedback on usability, performance, and integration experience.</li></ul>3) Code Quality &amp; Testing Automation<ul><li>Collaborate with Evaluation &amp; QA Engineers to integrate unit, integration, and performance tests into CI/CD pipelines.</li><li>Implement automated code quality checks, linting, and security scans for SDK components.</li><li>Contribute to benchmarking frameworks for new modules and features.</li></ul>4) Developer Experience &amp; Enablement<ul><li>Work closely with Developer Experience Engineers to deliver clear APIs, ergonomic SDK design, and developer-friendly documentation.</li><li>Provide quickstarts, code samples, and integration guides to accelerate adoption.</li><li>Participate in community enablement efforts, ensuring SDK interfaces are intuitive and extensible.</li></ul>5) Architecture &amp; Standards Alignment<ul><li>Align SDK design with enterprise architecture principles, ensuring parity with service implementations.</li><li>Collaborate with AI Capability Architecture Lead on interface contracts, observability hooks, and security-by-design patterns.</li><li>Maintain semantic versioning and backward compatibility policies for SDK releases.</li></ul>MEASURES OF SUCCESS<ul><li>SDK quality and adoption: High developer satisfaction; increased reuse across products; minimal bespoke implementations.</li><li>Release health: Predictable release cadence; automated quality gates; successful integration tests.</li><li>Performance and reliability: SDK modules meet latency, throughput, and cost targets; observability hooks implemented.</li><li>Community engagement: Positive feedback on extensibility and contribution workflows; active feature branch participation.</li><li>Documentation completeness: Clear quickstarts, code samples, and integration guides delivered with each release.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>7+ years in software engineering roles with strong experience in API/SDK design and modular architecture.</li><li>Proficiency in modern programming languages (Python required).</li><li>Hands-on experience with cloud-native development (Azure, AWS, or GCP) and containerized environments.</li><li>Strong understanding of CI/CD pipelines, automated testing, and code quality practices.</li><li>Ability to produce developer-friendly SDKs with clear documentation and ergonomic interfaces.</li><li>Proficiency in Git-based workflows (feature branches, PR reviews, semantic versioning)</li></ul>Preferred Qualifications<ul><li>Experience with AI/ML frameworks (PyTorch, TensorFlow) and GenAI/LLM ecosystems (prompt tooling, RAG, vector databases, agent frameworks).</li><li>Contribution to open-source projects and/or community-driven extensions.</li><li>Exposure to observability tooling (metrics, tracing, logging) and security-by-design principles.</li><li>Background in performance engineering and benchmarking for AI workloads.</li><li>Experience in regulated environments with audit-ready documentation and compliance standards.</li></ul>&nbsp;

Senior Manager, Software Engineer 4949163 

As Senior Manager, DevOps Engineer (Individual Contributor), you will be the build, release, and reliability backbone for our Python SDK—a pip-installable package that provides reusable, modular AI capabilities (RAG components, agent/tool cookiecutters, MCP adaptors, standardized interfaces). You will design automated pipelines that enforce code quality, security, reproducibility, benchmarking, and integration tests for the SDK and ensure compatibility and operability for platform services that consume it.You’ll collaborate closely with:<ul><li>Embedded AI Architecture &amp; Solution Design to prioritize capabilities and validate interfaces against real solution patterns.</li><li>AI Engineering to align PI increments and integrate external technologies into the SDK.</li><li>Digital Creation Centers &amp; Forward Impact Teams (FITs) as consumers of the SDK in products/services, capturing feedback to refine release ergonomics.</li><li>Evaluation &amp; QA, Developer Experience, and LLMOps &amp; AI Integration engineers to make quality and operability automatic.</li></ul>Why this Role MattersFor a Python SDK to scale safely, we need rock‑solid packaging, dependency hygiene, and CI/CD: reproducible builds, secure artifacts, versioning discipline, and automated tests/benchmarks that guard against regressions. Your work turns modular capabilities into enterprise‑grade libraries that downstream services can rely on—ensuring consistent behavior, faster time‑to‑first‑success, and audit‑ready releases.ROLE RESPONSIBILITIES1) Python Packaging, Build &amp; Distribution<ul><li>Own build and release for the SDK: wheel/sdist creation, and reproducible builds.</li><li>Enforce semantic versioning, backward compatibility checks, and changelogs; design safe migration paths (deprecation policies, compatibility shims).</li><li>Standardize artifact repositories: internal PyPI (Dev/Stage/Prod indices), package signing, and promotion workflows with automated quality gates.</li></ul>2) CI/CD for Libraries &amp; Supply Chain Security<ul><li>Design CI/CD pipelines (e.g., GitHub Actions/Azure DevOps/GitLab CI) to automate linting, type checking, unit/integration tests, coverage, and style enforcement (black/ruff/mypy/pytest).</li><li>Integrate dependency auditing and vulnerability scanning, license compliance, and SBOM generation; implement artifact signing and provenance (SLSA‑like controls).</li><li>Codify policy‑as‑code (e.g., OPA/Conftest) so releases only ship when tests, coverage, docs, and security gates pass.</li></ul>3) Benchmarking, Performance &amp; Integration Testing<ul><li>Collaborate with Evaluation &amp; QA Engineers to build benchmark harnesses for RAG components, connectors, rankers, and agent/tool modules; track latency/cost envelopes and regressions over time.</li><li>Orchestrate integration tests against common stacks (vector databases, storages, identity providers) to validate interface contracts used by platform services.</li><li>Maintain regression baselines and performance dashboards; fail builds on significant regressions.</li></ul>4) Operability for Consumers (SDK↔Service Parity)<ul><li>Embed observability hooks appropriate for libraries (structured logging, configurable metrics/traces) so services consuming the SDK can integrate telemetry consistently.</li><li>Define interface contracts and runtime configuration patterns (config schema, secrets management integration points) that downstream services must honor.</li><li>Partner with platform teams to publish service readiness guides built on SDK interfaces (env parity, retry/backoff, error models).</li></ul>5) Environments, Reproducibility &amp; Tooling<ul><li>Design isolated test environments and fixtures for data, vector stores, and external dependencies; leverage tox/pytest‑xdist for matrix runs.</li><li>Own Infrastructure-as-Code limited to test/development environments and CI runners; ensure deterministic builds and environment parity.</li><li>Optimize pipeline performance (caching wheels, parallelization) and track DORA‑style delivery metrics to continuously improve.</li></ul>6) Developer Experience &amp; Contribution Workflows<ul><li>Collaborate with Developer Experience Engineers to produce developer‑ready artifacts (quickstarts, sample apps, docs bundles generated during CI).</li><li>Standardize contribution workflows: feature branches, PR checks, mandatory tests/benchmarks/docs acceptance criteria; enable community extensions safely.</li><li>Provide CLI/tooling or cookiecutters that scaffold new SDK modules with tests, docs, and benchmark hooks prewired.</li></ul>7) Collaboration &amp; Continuous Improvement<ul><li>Align pipeline policies with AI Capability Architecture Lead and ensure SDK interface consistency for downstream service teams.</li><li>Close feedback loops with Embedded Architecture, Solution Design, AI Engineering, Creation Centers, and FITs to prioritize pipeline and release ergonomics improvements.</li><li>Lead post‑release retrospectives to reduce defects, MTTR, and onboarding friction for consuming teams.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>7+ years in DevOps/SRE/Build &amp; Release engineering, with significant experience in Python packaging and library delivery (wheels/sdists, internal PyPI).</li><li>Expert in CI/CD for libraries (GitHub Actions/Azure DevOps/GitLab CI) and artifact management (PyPI/private indices, container registries as needed for test harnesses).</li><li>Strong hands‑on with cloud‑native development and CI runners; proficiency with IaC for build/test environments.</li><li>Proven track record implementing quality gates: automated tests, secrets management, test coverage, dependency/security scanning, SBOMs/signing, policy‑as‑code.</li><li>Experience embedding observability hooks for libraries and defining interface contracts for service consumers.</li></ul>Preferred Qualifications<ul><li>Familiarity with GenAI/LLM ecosystems (RAG pipelines, vector stores, agent/tool frameworks, MCP adaptors) and their benchmarking/testing needs.</li><li>Background in performance engineering for Python (profiling, async/concurrency, I/O, data pipelines) and managing latency/cost regressions.</li><li>Experience with open-source contribution workflows, multi‑language SDK delivery (Python primary; TypeScript/Java nice-to-have), and semantic versioning discipline.</li><li>Exposure to regulated environments and audit‑ready release documentation.</li><li>Comfortable partnering across architecture, QA, DX, LLMOps, platform, and product teams in a matrixed organization.</li></ul>

Senior Manager, DevOps 4949161

As Senior Manager, LLMOps &amp; AI Integration Engineer (Individual Contributor), you will lead the model integration, agent/tooling, and LLM operations strategy for our pip‑installable AI Capabilities SDK. You will design and maintain clean, extensible interfaces for LLMs, embeddings, retrieval, tool execution, and agentic workflows; build runtime guards and evaluation hooks; and optimize latency, reliability, and cost—so teams can embed AI safely and predictably.You will collaborate closely with:<ul><li>Embedded AI Architecture and Solution Design to prioritize capabilities and define interfaces aligned to real-world solution patterns.</li><li>AI Engineering to deliver PI increments, integrate external technologies, and codify model/agent failure modes and mitigations.</li><li>Digital Creation Centers and Forward Impact Teams (FITs) as consumers of the SDK, capturing feedback to refine ergonomics and performance.</li><li>DevOps, Evaluation &amp; QA, and Developer Experience engineers to wire guardrails, evaluation, and developer-ready assets into CI/CD and docs.</li></ul>Why this Role MattersLLMOps sits at the intersection of capability, safety, and operability. By turning complex model/agent behaviors into well-abstracted, evaluable, and observable SDK modules, you enable teams to deliver AI features fast with safety—reducing bespoke implementations, ensuring reproducibility, and controlling latency/cost at scale. Your work is foundational for platform services that rely on the SDK as their backbone.ROLE RESPONSIBILITIES1) Model &amp; Agent Integration Architecture<ul><li>Design Python SDK interfaces for LLM clients, embeddings, tokenization, and structured outputs (e.g., Pydantic/JSON schemas).</li><li>Implement function/tool calling abstractions, agent orchestration patterns (ReAct-like, planner/executor), and MCP adaptors for interoperable tools.</li><li>Provide configuration and secrets integration points that downstream services can adopt consistently (env vars, config schemas, key management hooks).</li></ul>2) Retrieval &amp; RAG Components<ul><li>Build RAG modules (document loaders, chunking/segmentation, embeddings, retrievers, rerankers) with pluggable backends (vector stores, search indices).</li><li>Standardize connectors and interface contracts for common data sources; ensure reproducible pipelines and SDK↔service parity of behaviors.</li><li>Optimize retrieval quality via evaluation hooks (precision/recall, MRR, hit rate) and tunable parameters (top‑k, thresholds).</li></ul>3) Guardrails, Safety &amp; Policy Integration<ul><li>Codify safety guardrails: prompt hygiene, jailbreak resistance, content filters, sensitive topic/policy checks, red‑team/adversarial probes.</li><li>Integrate privacy/security controls: data minimization, PII detection flags, safe logging, and deterministic truncation strategies.</li><li>Provide policy‑as‑code hooks and pre/post‑processing middleware to enforce runtime constraints within SDK flows.</li></ul>4) Performance, Reliability &amp; Cost Engineering<ul><li>Implement caching, batching, retry/backoff, circuit breakers, and fall‑back strategies across model/tool calls.</li><li>Profile and tune latency, throughput, and token usage/cost; expose configuration knobs and budget guards (token and cost caps).</li><li>Maintain benchmark suites and regression baselines for model and retrieval components; block releases on significant degradations.</li></ul>5) Observability‑by‑Design for Libraries<ul><li>Embed telemetry hooks (structured logs, metrics, traces) suitable for a library so that services consuming the SDK can attach enterprise observability.</li><li>Define SLIs relevant to LLMOps (latency, error rates, cache hit ratio, token usage, cost per call) and document runbook guidance for downstream teams.</li><li>Standardize error models and return types to ensure predictable handling across consuming services.</li></ul>6) Evaluation &amp; CI/CD Integration<ul><li>Partner with Evaluation &amp; QA Engineers to build test harnesses (unit/integration/contract/fuzz/adversarial) and benchmark suites for agents/tools, RAG, and model endpoints.</li><li>Work with DevOps Engineers to wire quality gates into CI/CD: coverage thresholds, performance budgets, safety checks, SBOM/signing for release artifacts.</li><li>Provide fixtures and simulators to enable deterministic tests across backends (vector stores, providers).</li></ul>7) Developer Experience &amp; Enablement<ul><li>Collaborate with Developer Experience and Technical Writers to deliver quickstarts, sample apps, notebooks, and code recipes for common patterns (RAG, agents, tool use, structured outputs).</li><li>Contribute to cookiecutters/CLI scaffolds that prewire configuration, tests, telemetry, and guardrails for new modules or integrations.</li><li>Support community contribution workflows (feature branches, PR checks, doc acceptance criteria) and mentor contributors on best practices.</li></ul>8) Collaboration &amp; Continuous Improvement<ul><li>Close feedback loops with Embedded Architecture, Solution Design, AI Engineering, Creation Centers, and FITs to refine APIs, defaults, and ergonomics.</li><li>Participate in post‑release retrospectives and incident reviews to strengthen guardrails, performance tuning, and developer experience.</li><li>Track and improve LLMOps KPIs (latency, cost per call, error rates, cache hit ratios, evaluation pass rates).</li></ul>MEASURES OF SUCCESS<ul><li>Performance &amp; cost: Latency and token/cost budgets consistently met; cache hit ratios improved; fewer performance regressions.</li><li>Safety &amp; reliability: Guardrail tests pass; reduced policy violations and incident rates; predictable error handling.</li><li>Adoption &amp; DX: Faster time‑to‑first‑success for consuming teams; positive developer feedback on APIs and examples.</li><li>Evaluation coverage: Benchmarks and adversarial tests integrated; high pass rates; clear baselines with trend reporting.</li><li>SDK↔Consumer parity: Consistent behavior across downstream services; reduced bespoke integrations and rework.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>7+ years in software/AI engineering with significant experience in LLMOps or model/tool integration for Python libraries.</li><li>Deep proficiency in Python and building extensible SDKs (interfaces, packaging, semantic versioning, backward compatibility).</li><li>Hands‑on with GenAI/LLM ecosystems (e.g., tool/function calling, structured outputs, prompt orchestration) and RAG components (embeddings, retrievers, rerankers, vector stores).</li><li>Strong grasp of performance engineering (profiling, caching, batching), resilience patterns (retry/backoff, circuit breakers), and cost control (token budgeting).</li><li>Experience embedding observability hooks and integrating evaluation/benchmarks into CI/CD pipelines.</li></ul>Preferred Qualifications<ul><li>Familiarity with agent frameworks, MCP adaptors, and multi‑provider model client abstractions.</li><li>Experience with adversarial/safety testing, privacy/PII considerations, and policy‑as‑code guardrails.</li><li>Background in open-source workflows (feature branches, PR reviews) and multi‑backend integration (vector DBs, search, storage).</li><li>Exposure to regulated environments (healthcare/pharma/finance) and audit‑ready evidence capture.</li><li>Comfortable collaborating across architecture, DevOps, QA, DX, platform, and product teams in matrixed organizations.</li></ul>

Senior Manager, LLMOps & AI Integration Engineer 4949157

As a Quality Engineer Consultant, you will join a QE team and contribute to testing activities across projects, gaining hands-on experience in software quality assurance. You will support test execution, documentation, and reporting while building your skills in either manual or automated testing. This role is ideal for candidates starting their career in testing, with curiosity and willingness to learn, and who want exposure to modern QA practices, tools, and emerging technologies, including GenAI tools to improve testing efficiency. During your tenure, your key responsibilities will involve:<ul><li>&nbsp;Assist in functional and non-functional testing tasks, including executing test&nbsp; &nbsp;cases, logging defects, and reporting results.</li><li>&nbsp;Learn and apply QA processes and best practices under the guidance of more&nbsp; &nbsp;experienced team members.</li><li>&nbsp;Gain exposure to test automation tools and contribute to automated test scripts&nbsp; &nbsp;when appropriate.</li><li>&nbsp;Explore and experiment with GenAI tools to support testing efficiency, defect&nbsp; &nbsp;detection, and test data generation.</li><li>&nbsp;Participate in team discussions, sharing observations, asking questions, and&nbsp; &nbsp;proposing simple improvements.</li><li>&nbsp;Actively engage in learning opportunities, including trainings, workshops, and&nbsp; &nbsp;knowledge-sharing sessions.</li></ul> #WinningRequirementsTo qualify for the role, you must have:&nbsp;<ul><li>&nbsp;Bachelor’s or Master’s degree in Business Administration, Computer Science,&nbsp; &nbsp; &nbsp;Engineering, or a related field.</li><li>&nbsp;0 – 2 years of experience in software testing (manual and/or automated) or a&nbsp; &nbsp;strong interest in entering the field.</li><li> Familiarity with manual or automated testing, with willingness to learn both.</li><li>&nbsp;Understanding of QA processes, methodologies, and best practices.</li><li>&nbsp;Basic knowledge of test management or defect tracking tools is desirable.</li><li>&nbsp;ISTQB Foundation Level certification is considered a plus.</li><li>&nbsp;Ability to work collaboratively in a team environment and communicate&nbsp; &nbsp;effectively.</li><li> Excellent problem-solving skills, attention to detail, and the ability to think&nbsp; &nbsp;critically.  </li><li>&nbsp;Experience in Energy sector will be considered a plus.&nbsp;</li><li> Military obligations fulfilled where applicable.  &nbsp;</li></ul>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;#WhoWeAreLookingForIndividuals who have a&nbsp;strong will&nbsp;to expand their knowledge of new technologies, a&nbsp;passion&nbsp;to grow within the company and&nbsp;aspirations&nbsp;for career growth. At Deloitte we foster a consultative culture because the best decisions are made in collaboration with others. We approach our work with a collaborative mindset, teaming across businesses, geographies, and skill sets to deliver tangible, measurable, attributable impact. These are not aspirations, but principles that we all commit to today and every day. #WhatWeOfferAt Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits:🏠&nbsp;Modern hybrid workplace, characterized by flexibility and Smart Working⚖&nbsp;Empowered well-being: We provide multiple program offerings to support your well-being needs (flexible working arrangements, extra days of leave, parental allowances)🌍&nbsp;Engagement within international large-scale teams and projects, with opportunities to travel for training or client purposes📚&nbsp;Constant opportunities for learning with unlimited access to internal and external learning platforms and sponsored certificates aligned with business needs and technology trends🚀&nbsp;Challenging and innovating environment where personal development and growth are encouraged, always with transparency and trust👬&nbsp;Diverse culture and active communities that enable you to bring yourself to work🎉&nbsp;Team Building and Corporate Social Responsibility Activities🏃&nbsp;A buddy to support you with your onboarding⚕️&nbsp;Private medical health insurance plan💳&nbsp;Ticket restaurant card&nbsp;🛍️&nbsp;Exclusive Discounts to several retail providers, restaurants and others&nbsp;📱&nbsp;Mobile phone&nbsp;🍏&nbsp;Fresh fruits and unlimited coffee everyday at our officesPlease note that all the well-being benefits mentioned above are subject to annual review

Quality Engineer Consultant @Thessaloniki

Chubb is looking for a Software Engineer in Test to join our team. This is a permanent full-time position and a compelling opportunity to join a global, growing, financially stable and successful company. As an industry leader, Chubb is an employer of choice for skilled technology professionals aspiring to develop a meaningful career in a fast-paced, diverse company with offices in most major cities in the world.Responsibilities<ul><li>Plan, conduct, and document accessibility audits for web applications against EN 301 549 and WCAG 2.1 AA (familiarity with WCAG 2.2 is a plus)</li><li>Perform manual and assistive technology testing (keyboard-only navigation; screen readers such as NVDA, JAWS, VoiceOver, TalkBack; zoom and magnification; color contrast tools)</li><li>Use and interpret automated tooling to identify issues and prioritize remediation (e.g., axe DevTools, WAVE, Lighthouse, ARC Toolkit, Pa11y, Siteimprove)</li><li>Validate semantic HTML, ARIA usage, focus management, form labels and error messages, dynamic content updates, modal dialogs, component interactions, and responsiveness</li><li>Create clear defect reports with reproducible steps, expected vs. actual behavior, severity and impact, screenshots/video, and code pointers where possible</li><li>Partner with Product Owners, Designers, Engineers, and QA to set accessibility acceptance criteria, integrate checks into CI/CD, and verify fixes</li><li>Produce accessibility deliverables such as test plans, results summaries, risk assessments, and Accessibility Conformance Reports (VPAT/ACR referencing EN 301 549)</li><li>Advise teams on prioritization based on user impact, legal risk, and business context; track metrics and trends</li><li>Contribute to accessibility standards within design systems and component libraries</li><li>Monitor regulatory updates related to the EAA and recommend process improvements and training</li></ul>QualificationsQualifications<ul><li>3+ years of hands-on accessibility testing for web applications</li><li>Strong knowledge of WCAG 2.1 AA, EN 301 549, and practical EAA implications for digital products</li><li>Proficiency with assistive technologies and real-world AT workflows (NVDA, JAWS, VoiceOver, TalkBack)</li><li>Solid understanding of semantic HTML, CSS, JavaScript, WAI-ARIA, focus order, keyboard interaction models, and common UI patterns</li><li>Experience documenting accessibility defects and collaborating on remediation with cross-functional teams</li><li>Familiarity with agile development, backlog management, and defect triage (e.g., Jira, Azure DevOps)</li><li>Clear communication skills and the ability to advocate for inclusive design in a business context</li></ul>&nbsp;Our team makes the difference, every time. For this reason, we offer in return! We offer hybrid working model, explicit, structured career development, a competitive salary package, annual bonus, long term equity incentives, private medical cover, monthly allowance for lunch, generous personal time off, continuous learning experiences, and work in a fun, lively environment with mentoring from our groundbreaking senior mentors.

Software Engineer in Test

The Manufacturing Technology &amp; Solutions team enables a world-class manufacturing and supply chain organization by increasing visibility and efficiency across diverse systems and processes, and delivering predictive analytics and insights. The team supports Pfizer’s Core Manufacturing &amp; Engineering Solutions, while enabling a secure, seamless flow of contextualized data from the device &amp; control levels, all the way to the top of the Enterprise. Our goal is to create persona driven, connected experiences across our shop floors to predict and optimize operations, while providing intelligence, and real-time insights to operators. Key&nbsp;functional areas:<ul><li>Strategy &amp; Operation Excellence</li><li>Global Supply Engineering &amp; Sustainment</li><li>Manufacturing Operations Solutions</li><li>E2E Network Solutions</li></ul>We are seeking a dynamic and technically adept Product Owner to lead the adoption, support, and continuous enhancement of the electronic On-the-Job Training (eOJT) solution across all EMEA manufacturing sites. This role is pivotal in driving digital transformation in training operations, ensuring GMP compliance, and aligning cross-functional teams to deliver impactful, scalable solutions.ROLE RESPONSIBILITIESThe Senior Associate, Smart Factory colleague’s responsibilities may include, but are not limited to:Product Ownership &amp; Strategy<ul><li>Own the product vision and roadmap for the eOJT solution across EMEA sites.</li><li>Define and prioritize features and enhancements based on business needs, user feedback, and compliance requirements.</li><li>Lead the transition from paper-based to digital OJT processes, ensuring alignment with global rollout strategies and dependent systems (e.g., LMS, SAP).</li></ul>Adoption &amp; Stakeholder Engagement<ul><li>Drive site-level adoption through product demo, training, communications, and stakeholder alignment.</li><li>Serve as the primary liaison between site teams, Smart Factory Technology, and global program leads.</li><li>Coordinate with site champions, trainers, and learning specialists to ensure successful onboarding and sustained usage.</li></ul>Technical Oversight &amp; Vendor Management<ul><li>Collaborate with development teams to deliver new features (e.g., waiver workflows, trainer qualification logic, reporting enhancements).</li><li>Manage vendor relationships, including contract oversight, performance tracking, and release coordination.</li><li>Ensure integration with Pfizer’s LMS and analytics platforms, maintaining data integrity and audit readiness.</li></ul>Release &amp; Communication Management<ul><li>Own the release calendar for eOJT versions (e.g., v3.0, v3.1), including feature rollout, change control documentation, and stakeholder communications.</li><li>Prepare and distribute release notes, demo materials, and training guides.</li><li>Coordinate go-live communications and post-deployment support across sites.</li></ul>Operational Efficiency &amp; Support<ul><li>Monitor system performance and usage metrics to identify opportunities for optimization.</li><li>Serve as the first point of contact for end-user inquiries, providing timely and effective support.</li><li>Triage incoming support tickets, ensuring resolution through collaboration with technical teams or vendors.</li><li>Maintain a knowledge base and FAQs to support self-service and reduce recurring issues.</li></ul>Cross-Functional Collaboration<ul><li>Align with global and site-specific stakeholders including QA, IT, Learning &amp; Development, and Manufacturing.</li><li>Facilitate requirement gathering sessions, workshops, PI planning, and retrospectives.</li><li>Ensure feedback loops are in place to continuously improve the solution and user experience.</li></ul>BASIC QUALIFICATIONS<ul><li>BS in Engineering or Technology based subjects(s) or equivalent experience.</li><li>3+&nbsp;years related work experience.</li><li>Relevant domain experience in manufacturing and/or quality operations.</li><li>Experience in all stages of solution and application lifecycle from value analysis, business case development, and solution deployment through to value realization and system retirement is a significant advantage.</li><li>Ability to work across multiple concurrent activities and successfully adapt to changing priorities as required.</li><li>An understanding of system cGMP requirements and demonstrable knowledge of computer system design and maintenance lifecycle in cGMP environments.</li><li>Proven experience in product ownership or product management within a digital or manufacturing environment.</li><li>Familiarity with GMP-compliant systems, LMS platforms, and enterprise integration (e.g., SAP Success Factor, MES).</li><li>Experience with agile methodologies, backlog management, and release planning using project tracking tools (e.g. Jira).</li><li>Ability to translate business needs into product requirement documents and function requirement documents.</li><li>Experience writing epics, user stories, and acceptance criteria.</li><li>Possesses an innovative and entrepreneurial mindset.</li></ul>PREFERRED QUALIFICATIONS<ul><li>1-3 years’ experience in a Global Solution environment focused on the build and deployment</li><li>Hands on experience in a manufacturing facility.</li><li>Prior experience with e-learning or training systems in a regulated industry.</li><li>Exposure to AI-powered training tools or agentic frameworks.</li><li>Experience supporting multi-site deployments and managing change at scale.</li></ul>

Senior Associate, Smart Factory Product Owner 4947880

Deloitte&nbsp;is&nbsp;an&nbsp;ideal&nbsp;working&nbsp;environment&nbsp;for&nbsp;both&nbsp;young&nbsp;and&nbsp;senior&nbsp;professionals&nbsp;who&nbsp;want&nbsp;to&nbsp;take&nbsp;the&nbsp;next&nbsp;step&nbsp;in&nbsp;their&nbsp;careers,&nbsp;offering&nbsp;them&nbsp;a&nbsp;supportive&nbsp;and&nbsp;international&nbsp;working&nbsp;environment&nbsp;that&nbsp;leverages&nbsp;their&nbsp;expertise&nbsp;and&nbsp;potential.&nbsp;Its&nbsp;corporate&nbsp;culture&nbsp;is&nbsp;based&nbsp;on&nbsp;trust&nbsp;and&nbsp;collaboration&nbsp;and&nbsp;ensures&nbsp;diversity&nbsp;and&nbsp;inclusion&nbsp;so&nbsp;that&nbsp;everyone&nbsp;feels&nbsp;part&nbsp;of&nbsp;a&nbsp;great&nbsp;team.&nbsp;Starts&nbsp;in&nbsp;the&nbsp;Quality&nbsp;and&nbsp;Engineering&nbsp;team,&nbsp;we&nbsp;are&nbsp;looking&nbsp;for&nbsp;a&nbsp;Test&nbsp;Coordinator,&nbsp;who&nbsp;is&nbsp;passionate&nbsp;about&nbsp;test&nbsp;automation&nbsp;on&nbsp;new&nbsp;technologies&nbsp;with&nbsp;commercial&nbsp;and&nbsp;open&nbsp;source&nbsp;automation&nbsp;technology.The&nbsp;people&nbsp;who&nbsp;will&nbsp;join&nbsp;us,&nbsp;can&nbsp;work&nbsp;in&nbsp;teams,&nbsp;have&nbsp;a&nbsp;detail-oriented&nbsp;mindset,&nbsp;analytical&nbsp;thinking&nbsp;skills,&nbsp;a&nbsp;drive&nbsp;for&nbsp;quality&nbsp;in&nbsp;technology&nbsp;and&nbsp;they&nbsp;will&nbsp;be&nbsp;able&nbsp;to&nbsp;understand&nbsp;and&nbsp;interpret&nbsp;business&nbsp;requirements&nbsp;-&nbsp;such&nbsp;that&nbsp;quality&nbsp;of&nbsp;the&nbsp;software&nbsp;is&nbsp;ensured&nbsp;via&nbsp;Testing.Can’t&nbsp;wait&nbsp;to&nbsp;make&nbsp;an&nbsp;impact&nbsp;on&nbsp;the&nbsp;world?&nbsp;You’re&nbsp;not&nbsp;alone.&nbsp;Join&nbsp;us&nbsp;in&nbsp;driving&nbsp;progress&nbsp;in&nbsp;the&nbsp;working&nbsp;world&nbsp;and&nbsp;beyond.#YourServiceLineStrategy,&nbsp;Risk&nbsp;&amp;&nbsp;Transactions&nbsp;(SR&amp;T)&nbsp;AdvisoryStrategy,&nbsp;Risk&nbsp;&amp;&nbsp;Transactions&nbsp;(SR&amp;T)&nbsp;is&nbsp;an&nbsp;end-to-end&nbsp;strategic&nbsp;advisory&nbsp;practice,&nbsp;enabling&nbsp;our&nbsp;C-suite&nbsp;clients&nbsp;to&nbsp;make&nbsp;informed,&nbsp;robust&nbsp;decisions&nbsp;and&nbsp;strategic&nbsp;choices.&nbsp;It&nbsp;integrates&nbsp;the&nbsp;full&nbsp;scale&nbsp;of&nbsp;Deloitte's&nbsp;M&amp;A&nbsp;capabilities,&nbsp;consolidates&nbsp;Climate&nbsp;&amp;&nbsp;Sustainability&nbsp;advisory&nbsp;capabilities,&nbsp;and&nbsp;tightens&nbsp;the&nbsp;connection&nbsp;between&nbsp;strategy&nbsp;development&nbsp;and&nbsp;risk&nbsp;management&nbsp;to&nbsp;assist&nbsp;clients&nbsp;with&nbsp;navigating&nbsp;uncertainty&nbsp;and&nbsp;change.#AboutYourTeam&nbsp;&nbsp;Quality&nbsp;&amp;&nbsp;Compliance&nbsp;team&nbsp;is&nbsp;a&nbsp;key&nbsp;department&nbsp;within&nbsp;Strategy&nbsp;Risk&nbsp;&amp;&nbsp;Transaction&nbsp;Advisory&nbsp;with&nbsp;an&nbsp;ambitious&nbsp;plan&nbsp;in&nbsp;terms&nbsp;of&nbsp;growth,&nbsp;innovation,&nbsp;talent&nbsp;management&nbsp;and&nbsp;market&nbsp;recognition.&nbsp;We&nbsp;help&nbsp;clients&nbsp;take&nbsp;advantage&nbsp;of&nbsp;the&nbsp;benefits&nbsp;of&nbsp;innovative&nbsp;new&nbsp;digital&nbsp;technology,&nbsp;support&nbsp;their&nbsp;digital&nbsp;transformation,&nbsp;regulatory&nbsp;compliance&nbsp;and&nbsp;control&nbsp;assurance,&nbsp;provide&nbsp;improved&nbsp;data&nbsp;driven&nbsp;leadership&nbsp;insights,&nbsp;and&nbsp;thus&nbsp;support&nbsp;growth&nbsp;and&nbsp;innovation.&nbsp;Our&nbsp;190+&nbsp;talented&nbsp;professionals&nbsp;are&nbsp;unified&nbsp;by&nbsp;a&nbsp;collaborative&nbsp;culture&nbsp;that&nbsp;fosters&nbsp;integrity,&nbsp;outstanding&nbsp;value&nbsp;to&nbsp;markets&nbsp;and&nbsp;clients,&nbsp;commitment&nbsp;to&nbsp;each&nbsp;other,&nbsp;and&nbsp;strength&nbsp;from&nbsp;cultural&nbsp;diversity.&nbsp;#AboutYourRoleBy&nbsp;joining&nbsp;our&nbsp;Quality&nbsp;Engineering&nbsp;Team,&nbsp;you&nbsp;will&nbsp;get&nbsp;the&nbsp;chance&nbsp;to&nbsp;work&nbsp;with&nbsp;international&nbsp;Deloitte&nbsp;clients&nbsp;and&nbsp;coordinate&nbsp;challenging&nbsp;large-scale&nbsp;projects&nbsp;that&nbsp;make&nbsp;an&nbsp;impact&nbsp;that&nbsp;matters&nbsp;all&nbsp;around&nbsp;the&nbsp;globe.&nbsp;Being&nbsp;part&nbsp;of&nbsp;a&nbsp;hub&nbsp;of&nbsp;1000+&nbsp;professionals,&nbsp;you&nbsp;will&nbsp;get&nbsp;hands-on&nbsp;experience&nbsp;in&nbsp;a&nbsp;wide&nbsp;variety&nbsp;of&nbsp;projects&nbsp;and&nbsp;huge&nbsp;implementations,&nbsp;and...&nbsp;make&nbsp;the&nbsp;difference!&nbsp;Our&nbsp;team&nbsp;of&nbsp;tech&nbsp;enthusiasts&nbsp;will&nbsp;give&nbsp;you&nbsp;opportunities&nbsp;to&nbsp;share&nbsp;your&nbsp;knowledge,&nbsp;grow&nbsp;and&nbsp;learn.More&nbsp;specifically,&nbsp;your&nbsp;role&nbsp;will&nbsp;include:<ul><li>Work&nbsp;with&nbsp;clients&nbsp;and&nbsp;project&nbsp;team&nbsp;members&nbsp;on&nbsp;test&nbsp;automation.</li><li>Knowledge&nbsp;sharing&nbsp;on&nbsp;test&nbsp;automation&nbsp;</li><li>Define&nbsp;test&nbsp;cases&nbsp;for&nbsp;automation,&nbsp;write&nbsp;manual&nbsp;test&nbsp;cases&nbsp;if&nbsp;required&nbsp;and&nbsp;create&nbsp;test&nbsp;reports.</li><li>Be&nbsp;responsible&nbsp;for&nbsp;creating,&nbsp;enhancing,&nbsp;and&nbsp;running&nbsp;automation&nbsp;test&nbsp;scripts.</li><li>Participate&nbsp;in&nbsp;the&nbsp;defect&nbsp;management&nbsp;process,&nbsp;collaborate&nbsp;with&nbsp;the&nbsp;members&nbsp;of&nbsp;the&nbsp;test&nbsp;and&nbsp;development&nbsp;teams&nbsp;to&nbsp;resolve&nbsp;issues.</li></ul>#OurRequirementsKey&nbsp;QualificationsEducation&nbsp;&amp;&nbsp;Experience:<ul><li>A&nbsp;university&nbsp;degree&nbsp;in&nbsp;Computer&nbsp;Science,&nbsp;Engineering,&nbsp;or&nbsp;a&nbsp;related&nbsp;discipline</li><li>At&nbsp;least&nbsp;6&nbsp;months&nbsp;of&nbsp;experience&nbsp;in&nbsp;a&nbsp;client-facing&nbsp;role&nbsp;(preferred)</li></ul>Technical&nbsp;Skills&nbsp;&amp;&nbsp;Knowledge:<ul><li>Familiarity&nbsp;with&nbsp;Excel&nbsp;and&nbsp;Power&nbsp;BI&nbsp;reporting</li><li>Understanding&nbsp;of&nbsp;the&nbsp;Software&nbsp;Development&nbsp;Life&nbsp;Cycle&nbsp;(SDLC)&nbsp;and&nbsp;basic&nbsp;software&nbsp;testing&nbsp;practices</li><li>Interest&nbsp;in&nbsp;quality&nbsp;assurance&nbsp;(QA)&nbsp;best&nbsp;practices&nbsp;and&nbsp;test&nbsp;automation</li></ul>Soft&nbsp;Skills:<ul><li>Strong&nbsp;analytical&nbsp;thinking&nbsp;and&nbsp;problem-solving&nbsp;mindset</li><li>Excellent&nbsp;communication&nbsp;and&nbsp;interpersonal&nbsp;skills</li><li>Ability&nbsp;to&nbsp;lead,&nbsp;interact&nbsp;with&nbsp;stakeholders,&nbsp;and&nbsp;follow&nbsp;up&nbsp;on&nbsp;information&nbsp;or&nbsp;updates</li><li>Curiosity,&nbsp;eagerness&nbsp;to&nbsp;learn,&nbsp;and&nbsp;a&nbsp;team-player&nbsp;mentality</li></ul>Bonus&nbsp;QualificationsProject/Process&nbsp;Experience:<ul><li>PMO&nbsp;or&nbsp;junior&nbsp;project&nbsp;management&nbsp;experience</li><li>Experience&nbsp;with&nbsp;test&nbsp;management&nbsp;tools&nbsp;such&nbsp;as&nbsp;JIRA&nbsp;(XRAY)&nbsp;or&nbsp;HP&nbsp;ALM</li></ul>Technology&nbsp;Platforms&nbsp;&amp;&nbsp;Business&nbsp;Tools:<ul><li>Experience&nbsp;with&nbsp;digital&nbsp;platforms&nbsp;(Web,&nbsp;Mobile&nbsp;–&nbsp;iOS/Android,&nbsp;Salesforce&nbsp;-&nbsp;SFDC)</li><li>Knowledge&nbsp;of&nbsp;business&nbsp;intelligence&nbsp;tools&nbsp;such&nbsp;as&nbsp;ETL,&nbsp;Anaplan,&nbsp;Informatica,&nbsp;Tableau,&nbsp;and&nbsp;Qlik</li><li>Familiarity&nbsp;with&nbsp;ERP&nbsp;systems&nbsp;such&nbsp;as&nbsp;SAP&nbsp;or&nbsp;JDE&nbsp;(Oracle)</li></ul>If&nbsp;you're&nbsp;ready&nbsp;to&nbsp;take&nbsp;your&nbsp;career&nbsp;to&nbsp;the&nbsp;next&nbsp;level&nbsp;in&nbsp;a&nbsp;challenging&nbsp;international&nbsp;environment,&nbsp;focusing&nbsp;on&nbsp;continuous&nbsp;learning&nbsp;and&nbsp;dynamic&nbsp;teamwork,&nbsp;both&nbsp;in&nbsp;Greece&nbsp;and&nbsp;abroad,&nbsp;you're&nbsp;ready&nbsp;for&nbsp;Deloitte!#WhatWeOffer<ul><li>At&nbsp;Deloitte,&nbsp;we&nbsp;know&nbsp;that&nbsp;great&nbsp;people&nbsp;make&nbsp;a&nbsp;great&nbsp;organization.&nbsp;We&nbsp;value&nbsp;our&nbsp;people&nbsp;and&nbsp;offer&nbsp;employees&nbsp;a&nbsp;broad&nbsp;range&nbsp;of&nbsp;benefits:</li><li>🏠&nbsp;Modern&nbsp;hybrid&nbsp;workplace,&nbsp;characterized&nbsp;by&nbsp;flexibility&nbsp;and&nbsp;Smart&nbsp;Working</li><li>⚖&nbsp;Empowered&nbsp;well-being:&nbsp;We&nbsp;provide&nbsp;multiple&nbsp;program&nbsp;offerings&nbsp;to&nbsp;support&nbsp;your&nbsp;well-being&nbsp;needs&nbsp;(flexible&nbsp;working&nbsp;arrangements,&nbsp;extra&nbsp;days&nbsp;of&nbsp;leave,&nbsp;parental&nbsp;allowances)&nbsp;</li><li>🌍&nbsp;Engagement&nbsp;within&nbsp;international&nbsp;large-scale&nbsp;teams&nbsp;and&nbsp;projects,&nbsp;with&nbsp;opportunities&nbsp;to&nbsp;travel&nbsp;for&nbsp;training&nbsp;or&nbsp;client&nbsp;purposes.&nbsp;</li><li>📚&nbsp;Constant&nbsp;opportunities&nbsp;for&nbsp;learning&nbsp;with&nbsp;unlimited&nbsp;access&nbsp;to&nbsp;internal&nbsp;and&nbsp;external&nbsp;learning&nbsp;platforms&nbsp;and&nbsp;sponsored&nbsp;certificates&nbsp;aligned&nbsp;with&nbsp;business&nbsp;needs&nbsp;and&nbsp;technology&nbsp;trends&nbsp;</li><li>🚀&nbsp;Challenging&nbsp;and&nbsp;innovating&nbsp;environment&nbsp;where&nbsp;personal&nbsp;development&nbsp;and&nbsp;growth&nbsp;are&nbsp;encouraged,&nbsp;always&nbsp;with&nbsp;transparency&nbsp;and&nbsp;trust.&nbsp;</li><li>?&nbsp;Diverse&nbsp;culture&nbsp;and&nbsp;active&nbsp;communities&nbsp;that&nbsp;enable&nbsp;you&nbsp;to&nbsp;bring&nbsp;yourself&nbsp;to&nbsp;work.&nbsp;&nbsp;</li><li>🎉&nbsp;Team&nbsp;Building&nbsp;and&nbsp;Corporate&nbsp;Social&nbsp;Responsibility&nbsp;Activities</li><li>🏃&nbsp;A&nbsp;buddy&nbsp;to&nbsp;support&nbsp;you&nbsp;with&nbsp;your&nbsp;onboarding</li><li>🌴&nbsp;Extra&nbsp;days&nbsp;of&nbsp;annual&nbsp;leave.</li><li>⚕&nbsp;Private&nbsp;medical&nbsp;health&nbsp;insurance&nbsp;plan&nbsp;</li><li>💳&nbsp;Ticket&nbsp;restaurant&nbsp;card&nbsp;</li><li>?&nbsp;Exclusive&nbsp;Discounts&nbsp;to&nbsp;several&nbsp;retail&nbsp;providers,&nbsp;restaurants&nbsp;and&nbsp;others&nbsp;</li><li>📱&nbsp;&nbsp;Mobile&nbsp;phone&nbsp;</li><li>🍏&nbsp;Fresh&nbsp;fruits&nbsp;and&nbsp;unlimited&nbsp;coffee&nbsp;every&nbsp;day&nbsp;at&nbsp;our&nbsp;offices&nbsp;&nbsp;</li><li>&nbsp;</li></ul>#About&nbsp;Deloitte

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