Principal Platform Engineer - Research Data Platform
Eli Lilly and CompanyMatch Score
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Job Description
Structured overview of role & requirementsAbout This Role
Own and evolve delivery and runtime platform foundations across CI/CD, infrastructure-as-code, Kubernetes/EKS, and AWS services ensuring build, deploy, scaling, and rollback workflows.
Design and implement AI agents, MCP integrations, and intelligent automation tools to improve platform interaction for research scientists and data engineers.
Collaborate with data engineering teams to enhance platform reliability, usability, documentation, and contribute across feature or platform squads with a reusable tooling and platform engineering mindset.
Minimum Requirements
Bachelor's or master's degree in computer science, IT, or related technical field.
6-10 years of professional experience in DevOps, platform engineering, or infrastructure engineering with production system ownership.
Strong hands-on proficiency in Python, CI/CD pipeline tools (Jenkins, GitHub Actions), AWS, infrastructure-as-code, Kubernetes/EKS.
Experience with observability tools (Loki, Tempo, Grafana), logging, metrics, alerting, runbooks, incident response, and practical knowledge or interest in AI/LLMs/MCP tool integrations.
Ideal Candidate Profile
Experienced in designing and managing scalable platform engineering solutions with end-to-end operational responsibility, including deployment and incident management.
Skilled in integrating AI-driven tools and intelligent automation within platform workflows relevant to research and data environments.
Collaborates effectively with cross-functional teams including researchers, data engineers, and platform teams, demonstrating strong communication and technical fluency.