Manager, Solution Engineer, Integrative Biology Solutions

Discovery, Preclinical, and Translational Solutions (DP&TS) sits at the center of Pfizer’s scientific software work, building the digital tools that help researchers move from target identification through clinical translation.

 

We need a senior, hands-on engineer who can walk into an unfamiliar system, break it down quickly, and deliver a working solution. You’ll design, build, and improve cloud services and the platforms they run on, with a strong focus on AWS, security, and reliability.

 

You’ll own work end-to-end with a high degree of autonomy: planning, building, testing, rolling out, and supporting what you ship. Reporting to the Principal Engineer, Integrative Biology Solutions, you’ll work closely with the data registration, pipelines, and analytics leads on shared initiatives across the Integrative Biology community.

 

The right person has deep AWS and Kubernetes skills, a broad technical toolkit, and the judgment to work independently in a matrixed global team. Knowledge of GCP and of the research and data science domain is a plus.

 

What Your Typical Day Will Look Like

 

Most days involve a mix: designing and building cloud infrastructure, deploying and troubleshooting services on Kubernetes, improving delivery pipelines and observability, investigating and fixing security findings, and partnering with the data registration, pipelines, and analytics capability leads to take initiatives from unclear to done.

Key Responsibilities

 

• Own delivery: take a problem from “unclear” to “done,” including design, implementation, rollout, and follow-through.

• Build cloud infrastructure: design and maintain cloud foundations using infrastructure as code (Terraform preferred), and improve delivery pipelines.

• Work across app and platform: support web services and APIs, and help teams integrate with identity, storage, and networking.

• Containers and Kubernetes: package and deploy services using containers; operate and troubleshoot Kubernetes workloads; use Helm for repeatable deployments.

• Security by default: design for least privilege, safe network boundaries, and secure configurations; help investigate and fix security findings in cloud workloads.

• Observability that works: ensure services have useful logs, metrics, and traces; prefer OpenTelemetry-style approaches (e.g., SigNoz) so teams can instrument once and keep options open.

• Automation mindset: remove manual steps with scripts and tooling; improve reliability through repeatable processes and practical guardrails.

• Support performance and scale: profile and tune applications and databases; improve latency and stability with measured changes.

• Raise the bar: share patterns, write clear docs, and help others learn, especially around AWS practices and secure delivery.

QUALIFICATIONS

 

Basic Qualifications

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

• 4+ years of experience in platform engineering, DevOps, or infrastructure roles.

• Strong hands-on experience with AWS, GCP, 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.

 

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.

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

 Last Date to Apply for Job: 11/9/2026

 

 

The annual base salary for this position ranges from $99,200.00 to $165,400.00.* In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 12.5% 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 $89,400.00 to $149,000.00.

 

 

This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview.

 

 

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

 

 

Candidates must be authorized to be employed in the U.S. by any employer.

U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.

 

 

 

 

 

 

To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.

 

 

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