platform engineer for generative AI platforms

Описание:

Pfizer is a pharmaceutical manufacturing company that develops medicines and serves patients and communities worldwide.

Задачи:

• Define and drive the technical strategy for AI/ML platform infrastructure supporting generative AI applications, LLM integrations, model routing, and enterprise AI services;
• Architect, build, and operate scalable cloud platforms using AWS services;
• Establish reusable infrastructure patterns for reliable multi-environment and multi-region deployments;
• Lead CI/CD architecture with reusable workflows, automated quality gates, deployment promotion, and environment approvals;
• Design and improve observability across AI platforms, including LLM-specific operational metrics;
• Build platform capabilities for GenAI workloads, including model availability monitoring;
• Partner with software engineering teams to improve deployment reliability, rollback strategies, health checks, autoscaling, load testing, and runtime performance;
• Define and enforce infrastructure security and compliance practices;
• Provide technical leadership for cost optimization, capacity planning, environment standardization, and operational resilience;
• Mentor engineers, review architecture and infrastructure designs, and influence platform engineering practices across teams.

Требования:

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical field, or equivalent practical experience;
• 7+ Years of experience in DevOps, platform engineering, cloud infrastructure, site reliability engineering, or software engineering roles;
• Strong hands‑on experience with AWS/Azure/GCP infrastructure and services;
• Experience designing and operating production systems on Kubernetes, ECS/Fargate, or comparable container orchestration platforms;
• Proficiency with infrastructure-as‑code, especially CloudFormation, Terraform, Helm, or similar tooling;
• Strong CI/CD experience with GitHub Actions or similar platforms;
• Experience building and operating observability solutions;
• Strong understanding of cloud security practices, IAM, secrets management, least‑privilege access, audit logging, and compliance requirements;
• Experience supporting distributed systems, microservices, APIs, asynchronous workloads, and multi‑environment deployments;
• Demonstrated ability to lead technical design, mentor engineers, and influence engineering practices across teams;
• Nice to have: Experience supporting AI/ML or generative AI platforms, experience in regulated enterprise environments, multi‑account and multi‑region AWS architectures, cost optimization, autoscaling, capacity planning, cloud budget monitoring, load testing, strong Python or scripting skills, clear communication of complex technical decisions.

Условия:

• Remote work location assignment;
• Pay information will be shared during the first interview for secondary posting locations where pay transparency regulations apply;
• Equal employment opportunity and inclusive workplace.