Principal Platform Engineer - Research Data Platform
Eli Lilly and Company16 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Own and evolve CI/CD, infrastructure-as-code, Kubernetes/EKS, and AWS runtime foundations.
- Design and maintain deployment workflows using Jenkins, GitHub Actions, container registries, promotion strategies, and automated validation gates.
- Improve observability, logging, metrics, alerting, runbooks, incident response, recoverability, and service reliability.
- Design and build AI agents, intelligent automation tools, and MCP integrations for platform users.
- Develop reusable APIs, service integrations, self-service workflows, automation, documentation, and technical design proposals.
- Collaborate with data engineering teams on Airflow, Glue/Spark, Kafka/MSK, and lakehouse-oriented platform capabilities.
- Rotate into feature or platform squads and work across research scientists, data engineers, platform teams, and technical leadership.
Requirements
- Bachelor's or master's degree in computer science, information technology, or a related technical field.
- 6–10 years of professional experience in DevOps, platform engineering, or infrastructure engineering with ownership of production systems.
- Strong hands-on Python proficiency for automation, APIs, AI tooling, scripting, operational workflows, and platform integrations.
- Hands-on experience building, operating, and troubleshooting CI/CD pipelines with Jenkins, GitHub Actions, validation gates, and deployment promotion workflows.
- Working knowledge of AWS, infrastructure-as-code, containerized workloads, and Kubernetes/EKS environments.
- Experience with observability, logging, metrics, alerting, runbooks, incident response, root-cause analysis, and reliability improvement.
- Practical curiosity or hands-on experience with LLMs, AI agents, MCP, tool integrations, or AI-assisted automation.
- Experience writing unit tests, integration tests, and automated test suites.
- Ability to independently identify problems and deliver maintainable solutions with minimal guidance.
- Strong communication and customer fluency across research, data engineering, platform, and technical leadership stakeholders.
- Preferred experience with Airflow, DBT, Spark, Glue, Iceberg, Great Expectations, Kafka, MSK, Trino, or Java.
- AWS certifications such as Cloud Practitioner or AI Practitioner are preferred.
Tech Stack
Categories
About Eli Lilly and Company
Eli Lilly and Company researches, develops, manufactures, and markets prescription medicines and biologics for patients, sold through healthcare providers, pharmacies, and payers. Core therapeutic areas include diabetes, oncology, immunology, neuroscience, and obesity. Founded in 1876 and headquartered in Indianapolis, it is a public company (NYSE: LLY) with global operations and is building a new advanced manufacturing site for gene therapy and other modalities in Lebanon, Indiana.