Platform Engineer

Role overview

Senior Platform Engineer (Platform & Automation) for the Automation & Integration function. You will be the senior hands-on technical authority responsible for designing, building, and operating a secure internal application delivery and automation platform used in regulated life sciences settings.

Note: This role enables AI delivery, but does not own AI use-case development (owned by the AI Hub). You will build the platforms, guardrails, and reusable capabilities that allow the AI Hub, citizen developers, and the Automation & Integration team to deliver safely.

Core responsibilities

Platform Engineering & Production Operations

• Design, build, and operate secure, scalable platform services across:
  • Deployment, networking, identity-aware access, TLS/certificate management
  • Container orchestration
  • CI/CD
• Own delivery end-to-end: architecture → implementation → production deployment → operations/support → continuous improvement
• Set up monitoring/observability, incident response, reliability practices, and automated deployment pipelines
• Balance delivery speed with security, validation, documentation, and change-control needs of a regulated environment

Paved Roads & Reusable Engineering

• Create reference architectures, reusable templates, containerized patterns, and self-service tooling
• Develop and maintain integration layers, REST APIs, and MCP servers to safely expose approved internal tools and data to developers and AI agents
• Define and maintain engineering standards for building, deploying, securing, documenting, and supporting applications/services

Enterprise Integration

• Design and operate reliable, supportable enterprise integrations across validated systems and platforms (e.g., Benchling, Veeva, Jira)
• Translate high-value automation/integration needs into governed, production-ready solutions with business, scientific, security, and technology stakeholders

Governance & Compliance Engineering

• Operationalize SDLC, security, privacy, and GxP standards by embedding policy into platform and pipeline controls
• Implement audit-ready logging, identity/access controls, traceability, and human-in-the-loop gates for high-risk workflows
• Produce/maintain technical documentation and evidence for validation, audits, and controlled change

Technical leadership

• Lead complex platform delivery, production hardening, troubleshooting, and architectural decisions
• Mentor Platform Engineers I–II via hands-on technical review and quality improvements
• Communicate architecture, tradeoffs, risks, and roadmaps to technical and nontechnical stakeholders

Required qualifications

• Bachelor’s degree in Computer Science/Engineering or equivalent practical experience
• 7+ years in platform engineering, infrastructure engineering, DevOps, systems engineering, or software development
• 2+ years of hands-on experience building or operating AI or automation platforms (cloud general experience alone is not sufficient)
• Demonstrated end-to-end production ownership of platform/infrastructure architecture, including:
  • Container orchestration, networking, CI/CD, identity and access, and security

Nice-to-haves

• Not explicitly stated in the provided text.