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Τάσεις Μισθών 2025

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Δικαιώματα Εργαζομένων

Εξειδικεύσεις και Καριέρα

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>

Θέσεις Εργασίας QA Engineer - Νομός Θεσσαλονίκης | Πληροφορική

Θέσεις Εργασίας Πληροφορική - Νομός Θεσσαλονίκης

Staff QA Engineer 4949292

Senior Software QA Engineer (Hybrid)

Senior Manager, Evaluation & QA Engineer 4949162

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

Software QA Engineer for Arηs Greece, Part of Accenture

Senior Manager, Developer Experience & Community Enablement Engineer 4949160

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