Manager, Platform Operations & Site Reliability Engineer

ROLE SUMMARY

Pfizers purpose breakthroughs that change patients lives is rooted in being science driven and a patient focused company. Digital and Technology is the driving force of data and AI innovation at Pfizer.

As part of the Data and AI Platforms organization you will join a team of Platform Engineers responsible for building and operating the enterprise procode AI Agent Platforms. We are expanding our forward-thinking Platform Engineering team focused on delivering secure scalable and resilient cloud-native infrastructure.

In the role of Site Reliability/Operations Engineer you will play a critical part in ensuring the reliability performance and operational excellence of our platforms. This position is well suited to a high-caliber well-rounded engineer who thrives in dynamic environments takes initiative and enjoys solving complex problems across infrastructure automation and observability. You will be part of a collaborative and inclusive team that values curiosity continuous learning and shared success with clear goals strong mentorship and a culture designed to help you succeed while taking ownership of meaningful challenges.

You will contribute to the design and development of a reliable transparent interoperable and sustainable enterprise-grade observability platform with a strong focus on security governance cost management and lifecycle this role you will help shape the platform roadmap collaborate closely with architecture security and product teams and drive the delivery of a best-in-class developer experience. You will also support and mentor engineers promoting engineering excellence and best practices across the team.

Success in this role will require building trusted partnerships with technology vendors delivery partners and internal stakeholders across the organization. You will apply both emerging and established technologies to enhance analytics and observability capabilities supporting the broader agentic platform strategy and enabling scalable high-performing and well-governed systems.

You will start your day by reviewing system health and platform metrics to ensure everything is operating as expected. From there you will collaborate with your platform engineer and operations teammates to prioritize work whether that involves deploying infrastructure refining automation or addressing new technical challenges. Some days will see you working deeply within Terraform modules or tuning infrastructure while others will focus on troubleshooting unexpected issues or supporting colleagues with complex problems. The role provides a balance of focused individual work and collaborative problem-solving all within a fast-paced yet supportive environment where your contributions directly influence platform reliability scalability and security.

In this role you will be responsible for establishing and continuously improving observability and operational practices across the platform for both internal platform engineers and external end-users of the platform services. This includes building robust monitoring logging tracing alerting and incident response capabilities alongside defining and maintaining SLOs and SLAs. You will proactively optimize performance availability and cost efficiency through techniques such as autoscaling right-sizing and resource planning.

Key responsibilities include:

• Monitoring cloud infrastructure and responding to alerts working closely with senior engineers to ensure stability and rapid resolution
• Deploying and maintaining infrastructure as code and automation tooling (e.g. Terraform) while identifying opportunities to improve efficiency and scalability
• Maintaining and enhancing observability systems such as Langfuse Langsmith and Grafana incorporating feedback from engineering teams
• Participating in incident response root cause analysis and remediation efforts to drive continuous improvement
• Collaborating with team members to evolve and strengthen CI/CD pipelines and delivery processes
• Contributing to documentation and improving operational processes to support platform maturity
• Proactively developing your skills while applying security and compliance best practices in day-to-day activities

BASIC QUALIFICATIONS

• Education:Bachelors degree in a relevant field (e.g. Computer Science Data Science Engineering or related discipline)
• 5yearsofexperienceinSitereliabilityOperationsorInfrastructureengineering
• Demonstrated experience with telemetry and observability to instrument generate collect and export telemetry data (metrics logs and traces) to help analyze agents performance and behavior (e.g. OpenTelemetry Grafana Langfuse).

• Demonstrated handson expertise with Microsoft Azure and/or Google GCP services
• Familiarity andexperience withTerraformandGitHub Actions
• UnderstandingofKubernetesDockerandcontainerorchestration
• Goodscriptingskills( Typescript)
• Familiarity and experiencewithLinux/Unixsystemadministration
• Familiaritywithnetworkingsecurityanddatabaseadministration
• Strong problem-solving skills and eagerness to learn in a collaborative environment
• Fluent in English; capable of clear technical communication across scientific and engineering disciplines
• Collaborate with User Success team to maintain key informational content drive platform adoption and champion a strong user community.

PREFERRED QUALIFICATIONS

• Experience leading distributed platform Operations & Support teams.
• Experienceworkinginregulatedenvironmentsorwithcomplianceframeworks( SOC2HIPAA)
• Experience working in team-based environments either professionally or academically

• Certifications: Microsoft Certified Google Cloud Certified HashiCorp Terraform Associate.

PHYSICAL/MENTAL REQUIREMENTS

• Ability to perform complex data analysis architectural and code reviews incident triage.

NON-STANDARD WORK SCHEDULE TRAVEL OR ENVIRONMENT REQUIREMENTS

• Occasional business travel to Pfizer sites and service partners

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

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