Principal Platform Engineer - Research Data Platform

550 Eli Lilly Services India Pvt Ltd; Bengaluru; On-site; INR 4,000,000 - 7,500,000; Full time

Job summary

550 Eli Lilly Services India Pvt Ltd in Bengaluru seeks a senior DevOps/Platform Engineer to own and evolve the platform delivery and runtime foundations across CI/CD, IaC, Kubernetes/EKS, and AWS services.

You will design deployment workflows, strengthen observability, and build AI-enabled automation to support researchers and data engineers. The role requires 6–10 years of hands‑on experience and a strong collaboration across platform teams.

Qualifications

• 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 production ownership.
• Strong Python proficiency for automation and platform integrations.
• Hands‑on experience building and troubleshooting CI/CD pipelines with Jenkins and GitHub Actions.
• Solid knowledge of AWS, IaC, containerized workloads, and Kubernetes/EKS.
• Strong mindset for observability, logging, metrics, alerting, and incident response.
• Curiosity or hands‑on experience with LLMs, AI agents, MCP, and AI‑assisted automation.

Responsibilities

• Own and evolve the platform delivery and runtime foundations across CI/CD, IaC, Kubernetes/EKS, and AWS services.
• Design reliable deployment workflows and automated validation gates for apps and data‑platform services.
• Improve reliability through observability, logs, metrics, alerts, runbooks, and incident response.
• Build AI agents and automation tools to help researchers and data engineers interact with the platform.
• Integrate MCP to connect AI agents with data sources, tools, and services for seamless workflows.
• Evaluate emerging AI tools and patterns to accelerate development and delivery.
• Collaborate with data engineering on Airflow, Glue/Spark, Kafka/MSK, and lakehouse patterns.
• Contribute to platform docs and technical design proposals; rotate across squads as needed.

Skills

Python proficiency

CI/CD pipelines

AWS

Kubernetes (EKS)

Observability

Automation

AI tooling / MCP

Testing

Communication

Problem solving

Education

Bachelor’s or Master’s in CS/IT or related field

Tools

Jenkins

GitHub Actions

Kubernetes

Job description

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life‑changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

About Lilly At Lilly, everything we do starts with patients. We unite caring with discovery to make life better for people around the world. Headquartered in Indianapolis, Indiana, our global team of over 50,000 employees work with urgency and purpose to discover and deliver life‑changing medicines, strengthen how health is understood and managed, and support the communities we serve. We bring our best to this work because people depend on it. If you’re driven by purpose and determined to make a meaningful difference for patients, we invite you to bring your skill and your commitment to Lilly.

About Technology@Lilly At Lilly, technology is not a support function. It is how a global medicine company operates, innovates, and delivers. Lilly in Bengaluru builds the capabilities that make this possible, cloud platforms, AI systems, and automation at enterprise scale, all in service of a purpose that makes this technology work genuinely distinctive, from advancing drug discovery to enabling connected clinical trials to keeping a global medicine company running at the standard patients deserve.

About the Business Function The Software Product Engineering (SPE) team is a specialized engineering group that delivers strategic solutions and differentiated capabilities. We take a forward‑thinking approach, focusing on an enterprise platform and product mindset, ensuring that the solutions we build can be leveraged across Technology teams for broader impact and efficiency.

What You’ll Do

DevOps and Infrastructure Own and evolve the platform’s delivery and runtime foundations across CI/CD, infrastructure‑as‑code, Kubernetes/EKS, and AWS services - ensuring platform components can be built, deployed, scaled, and rolled back safely.

Design and maintain reliable deployment workflows using Jenkins, GitHub Actions, container registries, environment promotion strategies, and automated validation gates for application and data‑platform services.

Strengthen operational excellence through observability, logging, metrics, alerting, runbooks, and incident‑response practices that improve service reliability, recoverability, and mean time to resolution.

AI, Agents and MCP Tooling Design and build AI agents and intelligent automation tools that help research scientists and data engineers interact with the platform more effectively.

Design and implement MCP (Model Context Protocol) integrations that connect AI agents to platform data sources, tools, and services - enabling seamless, tool‑augmented workflows for end users.

Evaluate and integrate emerging AI tools, frameworks, and patterns into the platform’s development workflows - finding opportunities where AI‑assisted development, code generation, or intelligent automation can meaningfully accelerate the team’s delivery.

Data Engineering and Platform Capabilities Bring enough familiarity with modern data‑platform patterns to collaborate effectively with data engineering teams - including Airflow, Glue/Spark, Kafka/MSK, and Lakehouse oriented architectures.

Apply platform engineering skills such as API design, service integration, automation, operational troubleshooting, and reusable tooling to strengthen the reliability and usability of data‑platform capabilities.

Crosscutting Contribute to platform documentation, technical design proposals - ensuring that AI integrations, MCP patterns, and cross‑cutting platform capabilities are well‑documented and accessible. Rotate into feature or platform squads as needed - this role is deliberately not siloed to a single domain.

Platform engineering mindset: able to design reusable tooling, APIs, service integrations, self‑service workflows, and automation that improve developer and user productivity.

Required Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related technical field - required.

6-10 years of professional experience in DevOps, platform engineering, infrastructure engineering, with demonstrated 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 using tools such as Jenkins, GitHub Actions, automated validation gates, and deployment promotion workflows.

Solid working knowledge of AWS, infrastructure‑as‑code, containerized workloads, and Kubernetes/EKS‑based runtime environments.

Strong operational mindset across observability tools (such as Loki, Tempo or Grafana), 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; production AI experience is helpful but not required.

Experience writing unit tests, integration tests, and automated test suites, with a bias toward building quality and validation into delivery workflows.

Proven track record to independently identify problems worth solving and deliver practical, maintainable solutions with minimal guidance.

Strong communication and customer fluency, with the ability to work across research scientists, data engineers, platform teams, and technical leadership.

Nice to Have

Experience with workflow orchestration tools (Airflow preferred).

Familiarity with data transformation (DBT), distributed computing (Spark, Glue), data lakehouse concepts (Iceberg), or data quality frameworks (Great Expectations).

Streaming technologies (Kafka, MSK) - understanding of event‑driven architectures.

Trino or similar distributed query engines.

Java - ability to read, understand, and contribute to existing Java‑based platform services.

AWS certifications (Cloud Practitioner, AI Practitioner, or higher).

At Lilly, caring is not only what we do for patients, it is how we work. We believe the people who dedicate themselves to making medicines better deserve an environment that makes their lives better too, one where they are supported, respected, and given the space to do their best work. This is not just a policy; it is who we are.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

#WeAreLilly At Lilly we strive to ensure our employees are part of a team that cares about them and our shared purpose of making life better for those around the world.

How do we do this? We continue to look for ways to include, innovate, accelerate and deliver while maintaining integrity, excellence and respect for people. We hope that you seek to join us on our journey as we create medicine and deliver improved outcomes for patients across the globe! #WeAreLilly