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We are seeking a&nbsp;Director of Cloud Engineering&nbsp;to lead our&nbsp;multicloud&nbsp;strategy and engineering organization within Pfizer Digital. This role&nbsp;operates&nbsp;on a global scale, driving cloud modernization, platform reliability, and engineering innovation that supports Pfizer’s mission of delivering breakthroughs that change patients’ lives.&nbsp;&nbsp;The Director of Cloud Engineering is a&nbsp;strategic technical leader&nbsp;responsible for shaping cloud architecture direction, evolving engineering practices, and ensuring our cloud platforms&nbsp;remain&nbsp;secure, compliant, scalable, and efficient. The ideal candidate brings deep&nbsp;multicloud&nbsp;expertise, proven experience leading&nbsp;highperforming&nbsp;engineering teams, and the ability to influence across a large, complex, matrixed enterprise.&nbsp;Pfizer seeks individuals who are transformational, curious, and committed to continuous growth — leaders who bring passion for technology, empowerment of teams, and operational excellence.&nbsp;&nbsp;&nbsp;ROLE RESPONSIBILITIES&nbsp;&nbsp;&nbsp;Strategic Leadership &amp; Vision&nbsp;<ul><li>Define, evolve, and communicate Pfizer’s multi-cloud engineering strategy and roadmap.&nbsp;</li></ul><ul><li>Partner with security, engineering, and business leaders to align cloud capabilities with enterprise&nbsp;objectives.&nbsp;</li></ul><ul><li>Lead the adoption of modern cloud-native architectures and engineering patterns across Pfizer Digital.&nbsp;</li></ul>&nbsp;Team &amp; Organizational Leadership&nbsp;<ul><li>Lead and develop multiple teams of cloud engineers, technical leads&nbsp;</li></ul><ul><li>Build a culture of innovation, learning, accountability, and engineering excellence.&nbsp;</li></ul><ul><li>Mentor senior engineers and&nbsp;emerging&nbsp;leaders, growing the next generation of technical talent.&nbsp;</li></ul>&nbsp;Technical Ownership &amp; Architecture&nbsp;<ul><li>Oversee the design and governance of standards for multi-cloud infrastructure, including networking, security, identity, observability, and platform automation.&nbsp;</li></ul>&nbsp;<ul><li>Drive consistent adoption of Infrastructure as Code (Terraform, Python) and platform automation via&nbsp;Spacelift&nbsp;or equivalent tooling.&nbsp;</li></ul>&nbsp;<ul><li>Establish reusable cloud design patterns and reference architectures that accelerate product teams and reduce technical debt.&nbsp;</li></ul>&nbsp;Operational Excellence &amp; Security&nbsp;<ul><li>Maintain a secure, compliant, and resilient hosting environment supporting business-critical systems.&nbsp;</li></ul><ul><li>Collaborate with SRE, security, and operations teams to enhance reliability, performance, and cloud posture.&nbsp;</li></ul><ul><li>Serve as&nbsp;senior&nbsp;escalation point for&nbsp;highimpact&nbsp;cloud incidents (minimal&nbsp;handson&nbsp;operational work).&nbsp;</li></ul>&nbsp;Innovation &amp; Continuous Improvement&nbsp;<ul><li>Stay ahead of emerging cloud technologies and industry trends to drive platform modernization.&nbsp;</li></ul><ul><li>Champion automation-first approaches, improving delivery speed, repeatability, and consistency.&nbsp;</li></ul><ul><li>Identify&nbsp;and drive continuous improvement initiatives across engineering, architecture, and operations.&nbsp;</li></ul>&nbsp;Cross-Functional Collaboration&nbsp;<ul><li>Work with global engineering, application development, cybersecurity, and compliance teams to deliver seamless&nbsp;endtoend&nbsp;cloud capabilities.&nbsp;</li></ul><ul><li>Support business units and product teams in adopting&nbsp;bestpractice&nbsp;cloud architectures and&nbsp;cloudnative&nbsp;services.&nbsp;</li></ul><ul><li>Represent Cloud Services in architecture forums, governance councils, and strategic investment discussions.&nbsp;</li></ul>&nbsp;&nbsp;&nbsp;BASIC&nbsp;QUALIFICATIONS&nbsp;&nbsp;<ul><li>Bachelor’s Degree in Computer Science, Engineering, IT, or equivalent experience.&nbsp;</li></ul><ul><li>10–15+ years of experience in cloud or software engineering, platform architecture, or infrastructure leadership roles.&nbsp;</li></ul><ul><li>At least 5 years leading multiple engineering teams or large, complex technical organizations.&nbsp;</li></ul><ul><li>Deep&nbsp;expertise&nbsp;across at least one major cloud provider (AWS, GCP, or Azure) with strong multi-cloud familiarity.&nbsp;</li></ul><ul><li>Expert-level experience designing and deploying infrastructure using&nbsp;IaC&nbsp;tools.&nbsp;</li></ul><ul><li>Strong programming and automation experience (Python preferred).&nbsp;</li></ul><ul><li>Proven&nbsp;track record&nbsp;influencing across large matrixed organizations.&nbsp;</li></ul><ul><li>Strong leadership capabilities, with&nbsp;experience&nbsp;coaching and developing senior engineers.&nbsp;</li></ul><ul><li>Demonstrated ability to set priorities, define long-term strategy, and deliver&nbsp;highvalue&nbsp;outcomes.&nbsp;</li></ul><ul><li>Customercentric&nbsp;mindset with the ability to align cloud capabilities to business needs.&nbsp;</li></ul>&nbsp;&nbsp;&nbsp;PREFERRED QUALIFICATIONS&nbsp;<ul><li>Multi-cloud architectural experience across AWS, Azure, and GCP.&nbsp;</li></ul><ul><li>Experience defining enterprise cloud standards and governance frameworks.&nbsp;</li></ul><ul><li>Expertise&nbsp;with&nbsp;Spacelift&nbsp;or similar&nbsp;IaC&nbsp;automation platforms.&nbsp;</li></ul><ul><li>Contributions to open-source cloud or infrastructure tooling.&nbsp;</li></ul><ul><li>Advanced cloud certifications (AWS&nbsp;SAPro, GCP Professional Cloud Architect, Azure Solutions Architect Expert).&nbsp;</li></ul><ul><li>Experience working in global organizations with distributed engineering teams.&nbsp;</li></ul>

Director, Cloud Engineering 4950694

The&nbsp;Senior Manager, Cloud Operations&nbsp;is responsible for leading day‑to‑day cloud platform operations to ensure&nbsp;availability, reliability, security, and cost efficiency&nbsp;across Pfizer’s enterprise cloud environments. This role executes the operational strategy defined by the Director of Cloud Operations and translates it into&nbsp;scalable, repeatable, and automation‑first operational practices.The Senior Manager leads operational teams responsible for&nbsp;incident management, service reliability, operational automation, and platform governance, while partnering closely with Cloud Engineering, Security, and Application teams to ensure cloud platforms operate safely and efficiently at scale.&nbsp;Key ResponsibilitiesCloud Operations &amp; Reliability<ul><li>Own the&nbsp;operational health&nbsp;of assigned cloud platforms and services across AWS, Azure, and GCP, including availability, performance, and recoverability</li><li>Lead&nbsp;24x7 operational support models, including on‑call rotations, incident response, and post‑incident reviews</li><li>Execute&nbsp;SRE‑inspired practices, including SLIs, SLOs, error budgets, and operational KPIs</li><li>Act as the&nbsp;primary escalation point&nbsp;for major incidents within scope, ensuring timely resolution and stakeholder communication&nbsp;</li></ul>Operational Governance &amp; Automation<ul><li>Drive&nbsp;automation‑first cloud operations, leveraging Infrastructure as Code, configuration management, and self‑healing patterns</li><li>Ensure operational&nbsp;runbooks, standards, and procedures&nbsp;are created, maintained, and consistently followed</li><li>Partner with Cloud Engineering to ensure&nbsp;operability, supportability, and resilience are embedded by design</li><li>Continuously improve operational maturity through&nbsp;process optimization and tooling enhancements</li></ul>Security, Compliance &amp; Risk<ul><li>Ensure cloud operations comply with&nbsp;security, regulatory, and audit requirements</li><li>Partner with Cybersecurity and Risk teams to&nbsp;remediate vulnerabilities and operational findings</li><li>Oversee patching, vulnerability remediation, and platform hardening activities for owned environments</li><li>Support audits and inspections by providing&nbsp;operational evidence and controls&nbsp;</li></ul>Financial &amp; Capacity Management<ul><li>Execute cloud&nbsp;cost governance (FinOps)&nbsp;practices, including usage monitoring, optimization initiatives, and budget adherence</li><li>Support&nbsp;capacity planning and demand forecasting&nbsp;for platforms and services</li><li>Provide regular reporting on&nbsp;cost efficiency, utilization, and optimization outcomes&nbsp;to leadership</li></ul>People Leadership<ul><li>Lead, coach, and develop&nbsp;Cloud Operations Managers and senior individual contributors</li><li>Build a culture of&nbsp;operational excellence, accountability, and continuous improvement</li><li>Support talent development, performance management, and succession planning within Cloud Operations</li><li>Foster strong collaboration across global and regional teams</li></ul>Basic Qualifications<ul><li>Bachelor’s Degree in Computer Science, Information Technology, Engineering, or equivalent experience</li><li>7+ years&nbsp;of experience in cloud infrastructure or operations roles</li><li>1-3+ years&nbsp;of experience leading operational teams in a complex, enterprise environment</li><li>Strong experience operating&nbsp;multi‑cloud platforms&nbsp;(AWS, Azure, GCP) at scale</li><li>Proven background in&nbsp;incident management, reliability engineering, and operational governance</li><li>Experience working in&nbsp;regulated environments&nbsp;(e.g., GxP, SOX, or similar)&nbsp;</li></ul>Preferred Qualifications<ul><li>Experience implementing&nbsp;SRE or ITSM modern operating models</li><li>Hands‑on experience with&nbsp;Infrastructure as Code&nbsp;and automation tooling</li><li>Familiarity with&nbsp;FinOps frameworks&nbsp;and cloud cost optimization practices</li><li>Strong communication skills with the ability to influence across technical and non‑technical stakeholders</li><li>Experience operating in&nbsp;global, matrixed organizations</li></ul>Role Scope &amp; Leveling Clarification<ul><li>This role is&nbsp;one level below Director of Cloud Operations</li><li>Focus is on&nbsp;execution and operational leadership, not enterprise‑wide strategy ownership</li><li>Owns&nbsp;platform and service execution, while strategy, funding, and global direction remain with the Director</li><li>Guides contractor managers and senior ICs, rather than directors or multiple operational pillars</li></ul>

Cloud Operations Lead 4955993

n this “hands-on” position, you will design, build, and deploy production-grade AI systems that will power enterprise-scale capabilities across the Clinical Development &amp; Operations organization. This is a high-impact role for a builder who thrives on solving real-world business problems in a complex, data-rich, and regulated environment. You will be instrumental in advancing the practical application of LLMs and agentic AI by identifying high-value use cases, developing reusable workflows, and partnering with stakeholders to drive adoption and impact. Combining deep expertise in software engineering and machine learning, you will take solutions from prototype to production, embedding MLOps best practices to ensure they are reliable, scalable, and reproducible. You will drive business transformation through proactive thought-leadership, innovative analytical capabilities, and the ability to communicate highly complex information in new and creative ways.WHAT YOU"LL DODevelop and Implement AI Solutions<ul><li>Build and deploy AI/ML models and solutions that support process-heavy workflows (e.g. protocol feasibility and site selection, study start-up etc.) including documentation, and operational reporting.</li><li>Contribute to the automation of manual and repetitive activities to improve speed, quality, and consistency.</li></ul>Strengthen Operational Decision-Making<ul><li>Develop predictive, optimization, and scenario-based models to support clinical trial supply forecasting and operational planning.</li><li>Create and maintain dashboards and decision-support tools that translate complex data into actionable insights for CD&amp;O leadership and operational teams.</li></ul>Engineer Production-Grade AI Systems<ul><li>Implement AI solutions that are aligned with data integrity standards and governance best practices, including model validation, versioning, and monitoring.</li><li>Design and implement AI agentic solutions that can plan and execute multi-step workflows.</li><li>Build robust, production-ready ML and analytics pipelines with a focus on reproducibility and scalability.</li><li>Deploy AI solutions in cloud environments, ensuring reliability, security, and seamless integration with existing systems.</li></ul>Collaborate Across Disciplines<ul><li>Partner closely with CD&amp;O line teams, scientists, and Digital partners to ensure that AI efforts remain tightly aligned to real scientific needs and can be deployed in ways that are trusted, scalable, and adopted in day-to-day work.</li><li>Champion best practices in AI engineering system lifecycle.</li></ul> &nbsp;BASIC MINIMUM QUALIFICATIONS<ul><li>PhD in Computer Science, Machine Learning, Data Science, Software Engineering, AI, or a related discipline and a minimum of 5 years of applied analytical experience with demonstrated impact in operations, automation, business analytics, or decision support OR</li><li>Master’s in Computer Science, Machine Learning, Data Science, Software Engineering, AI, or a related discipline and a minimum of 7 years of applied analytical experience with demonstrated impact in operations, automation, business analytics, or decision support.</li><li>Strong hands-on experience applying LLMs, generative AI, machine learning, or related AI approaches to real-world workflows, products, or analytical use cases, ideally within R&amp;D, clinical operations or large-scale regulated organizations.</li><li>Experience building practical, reusable workflows or systems rather than one-off analyses, with strong implementation skills in Python and modern AI / ML tooling.</li><li>Sound judgment regarding methodological rigor, model limitations, evaluation, and the appropriate role of human oversight in AI-enabled workflows.</li><li>Experience working directly with domain users or stakeholders to translate ambiguous needs into useful technical solutions, with evidence of strong collaboration and communication skills.</li></ul>TECHNICAL SKILLSET<ul><li>AI Engineering/ Framework: Strong hands‑on experience with Python building ML/DL with libraries (e.g. TensorFlow, PyTorch, Keras, Scikit-learn), and LLM‑based systems and agentic frameworks including RAG architectures, prompt engineering, embeddings, fine‑tuning, evaluation and orchestration (e.g. ADK, LangChain, LangGraph, Vertex AI, Claude).</li><li>Software &amp; Data Engineering/ Framework: Experience with Java, JavaScript/TypeScript, React, FastAPI, SQL/PostgreSQL, Snowflake, S3, and enterprise data and knowledge systems (e.g. BigQuery, Neo4j).</li><li>Cloud, DevOps &amp; MLOps: Proficient with Git, Docker, CI/CD, and cloud platforms (AWS/GCP/Azure), with a strong focus on reproducibility, deployment, monitoring, and production‑ready MLOps.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Experience in life sciences, pharma, biotech, systems biology, immunology, translational science, omics, or related research environments.</li><li>Experience operating across scientific and technical disciplines, with enough domain fluency to engage credibly with scientists while still bringing a strong applied-AI builder mindset.</li></ul>

Director, AI Engineering--Clinical Development and Operations (CD&O) 4955843

The Senior Manager, Offensive Security is responsible for leading enterprise offensive security capabilities that proactively identify, validate, and prioritize security weaknesses across the digital environment. Reporting to the Director of Threat &amp; Exposure Management, this role oversees activities such as penetration testing, red and purple team exercises, and adversary simulation to continuously assess the organization’s exposure to real‑world threats. Operating within a highly regulated pharmaceutical environment, the role partners closely with detection, remediation, engineering, and risk teams to translate offensive findings into measurable risk reduction and improved defensive outcomes. &nbsp;ROLE RESPONSIBILITIES<ul><li>Lead the offensive security capability, including strategy, roadmap, and execution of enterprise penetration testing, red teaming, and adversary simulation activities.</li><li>Plan and oversee offensive testing across applications, cloud platforms, networks, and endpoints to identify exploitable weaknesses and control gaps.</li><li>Design and execute threat‑informed testing scenarios aligned to real‑world adversary tactics, techniques, and procedures.</li><li>Partner with Threat Detection, Vulnerability Management, and Remediation teams to validate findings, prioritize exposures, and drive effective risk reduction.</li><li>Partner with Threat Detection team to validate and improve logging, alerting, and response effectiveness.</li><li>Ensure offensive security activities are safely executed, well‑governed, and aligned with legal, regulatory, and operational constraints.</li><li>Lead third‑party penetration testing and red team vendor engagements as needed.</li><li>Develop reporting and metrics that clearly communicate exposure, attack paths, and defensive effectiveness to Cyber Defense leadership.</li><li>Continuously evolve offensive security techniques, tooling, and methodologies to reflect the changing threat landscape.</li><li>Stay current on emerging attacker techniques, tools, and threat actor behaviors relevant to pharma and life sciences.</li></ul>BASIC QUALIFICATIONS<ul><li>Bachelor’s degree in Computer Science, Information Security, Engineering, or a related technical discipline, or equivalent hands‑on experience.</li><li>7+ years of experience in cybersecurity, with significant hands‑on experience in offensive security, penetration testing, or red team operations.</li><li>Strong hands‑on knowledge of:<ul><li>Red team and adversary emulation methodologies (MITRE ATT&amp;CK–aligned)</li><li>Application, cloud, network, and identity penetration testing</li><li>Social engineering and phishing simulations (where appropriate)</li><li>Tooling and frameworks commonly used in offensive security</li></ul></li><li>Solid understanding of modern enterprise environments (cloud, SaaS, hybrid).</li><li>Proven ability to communicate complex technical findings to both technical and executive audiences.</li><li>Experience in leadership and mentoring.</li><li>Experience operating in highly regulated, global environments.</li><li>Demonstrated experience in an agile work environment possessing qualities such as a collaborative mindset, adaptability to change, and a proactive problem-solving approach.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Experience in pharmaceutical, biotech, life sciences, or similarly regulated industries.</li><li>Experience with cloud-native red teaming (AWS, Azure, GCP) and identity-centric attack paths.</li><li>Familiarity with detection engineering, SIEM/SOAR, and threat intelligence workflows.</li><li>Professional certifications such as OSCP, OSEP, CRTO, CISSP, GIAC, or similar offensive security‑focused credentials.</li><li>Strong communication skills, with the ability to clearly articulate technical risk, attack feasibility, and business impact to senior technical and non‑technical stakeholders.</li></ul>

Θέσεις Εργασίας Security Director Ελλάδα, Πληροφορική

director, cloud engineering 4950694

Pfizer Hellas

cloud operations lead 4955993

Pfizer Hellas

director, ai engineering--clinical development and operations (cd&o) 4955843

Pfizer Hellas

senior manager, offensive security 4955940

Pfizer Hellas

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