Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Sr. Manager - Platform Engineering Lead, R&D DP&TS Platform and Data Engineering

Pfizer
Banstead
2 days ago
Create job alert

Pfizer’s mission to deliver breakthroughs that change patients’ lives is rooted in our commitment to science and innovation. Within Discovery, Preclinical, and Translational Solutions (DP&TS), we accelerate the journey from target identification to clinical translation by leveraging advanced digital technologies, AI, and data-driven insights.


We are building a high-impact, outcome-oriented platform engineering team focused on enabling scalable, secure, and resilient infrastructure and developer experiences. As a Platform Engineering Lead, you will be part of a team of well-rounded generalists who thrive on solving complex problems, automating everything, and driving innovation across cloud-native environments.


We’re looking for high-caliber engineers who bring initiative, adaptability, and a broad technical skill set. You’ll be joining a team that values curiosity, collaboration, and continuous learning. While we expect you to take ownership and solve meaningful problems, you’ll be supported by a friendly, inclusive environment with clear goals, strong mentorship, and a culture of shared success. We believe in setting our team up to thrive—not just deliver.


ROLE SUMMARY

Each day brings a mix of routine and challenge. You’ll start by reviewing system health and platform metrics, ensuring everything is running smoothly. From there, you’ll collaborate with teammates to prioritize work—whether it’s deploying infrastructure, refining automation, or addressing a new technical challenge. Some days you’ll be deep in Terraform modules or Kubernetes tuning; other days you’ll be troubleshooting unexpected issues or helping a colleague solve a complex problem. You’ll have space for focused work, but also plenty of opportunities to engage with others, share ideas, and contribute to solutions that drive real value. The environment is fast-paced but supportive, and your contributions will directly impact the reliability, scalability, and security of the platform.


ROLE RESPONSIBILITIES

Design, build, and maintain AWS and Azure cloud infrastructure using Terraform, Ansible, and Kubernetes.


Develop and manage CI / CD pipelines using tools like GitHub Actions. Implement and enforce security best practices across infrastructure and applications.


Automate operational tasks and improve system reliability through scripting and tooling.


Collaborate with developers, data scientists, researchers, digital peers, and other stakeholders to understand platform needs and deliver solutions.


Manage containerized workloads using Docker and Kubernetes.


Administersystems,databases,andnetworkswithafocusonscalabilityandresilience


Participateinincidentresponseandrootcauseanalysis


Continuouslyevaluateandintegratenewtechnologiestoimproveplatformcapabilities


Lead and grow a high-performing team of software and infrastructure engineers


BASIC QUALIFICATIONS

Education : Bachelor’s degree in a relevant field (e.g., Computer Science, Data Science, Bioinformatics, Engineering, or related discipline)


6+years of experience in platform engineering, DevOps, or infrastructure roles


Strong hands‑on experience with AWS or Azure


Proficiency in Terraform, Ansible, and GitHub


Solid understanding of Kubernetes, Docker, and container orchestration


Strong software development skills


Strong scripting skills (e.g., Bash, Python, Typescript)


Experience with Linux / Unix system administration


Familiarity with networking, security, and database administration


Strong understanding of infrastructure security best practices, including IAM, secrets management, and secure configuration


Proven ability to troubleshoot complex systems and resolve issues independently


Fluent in English; capable of clear technical communication across scientific and engineering disciplines


Candidate demonstrates a breadth of diverse leadership experiences and capabilities including the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.


PREFERRED QUALIFICATIONS

Experience with observability tools (e.g., OpenTelemetry, Prometheus, Grafana, ELK)


Knowledge of secrets management (e.g., HashiCorp Vault, AWS Secrets Manager)


Experience implementing encryption at rest and in transit using cloud-native tools (e.g., AWS KMS, Azure Key Vault, TLS)


Experience working in regulated environments or with compliance frameworks (e.g., GxP, SOC2, HIPAA)


Experience with and strong understanding of the software development lifecycle


NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

Travel up to 10% may be required for business activities.


Work Location Assignment : On Premise

The annual base salary for this position ranges from $120,800.00 to $201,400.00.



  • In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver / parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.
  • The annual base salary for this position in Tampa, FL ranges from $108,700.00 to $181,100.00.

Relocation assistance may be available based on business needs and / or eligibility.


Sunshine Act

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.


EEO & Employment Eligibility

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.


Information & Business Tech


#J-18808-Ljbffr

Related Jobs

View all jobs

Sr. Manager - Platform Engineering Lead, R&D DP&TS Platform and Data Engineering

Sr. Data Engineer

Sr. Data Scientist, GenAI Algorithms (Based in Dubai)

(Sr.) Data Engineer (m/f/d)

Sr. Data Scientist, GenAI (Remote, Europe)

(Sr.) Data Engineer (m/f/d)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.