Senior Cloud Platform Engineer
About The Position
We are seeking a Senior Cloud Platform Engineer to join our Bioinformatics and Cloud Platform team. This role is highly hands-on and focused on operating, improving, and scaling the scientific computing infrastructure that powers production bioinformatics workflows. You will work at the intersection of bioinformatics, cloud infrastructure, and platform engineering, helping scientists run complex next-generation sequencing (NGS) workflows reliably and at scale in AWS. This position is ideal for engineers who enjoy debugging complex systems, learning new technologies, and working across multiple parts of a platform to solve challenging problems. The role is intentionally broad and suited for someone who is comfortable navigating unfamiliar systems, collaborating with scientists and engineers, and contributing wherever the team needs support. Over time, you will gain deep knowledge of the platform and take ownership of key infrastructure components while contributing to the long-term architecture of our scientific computing environment.
Requirements
- MS in Science, Engineering, Bioinformatics, Computational Biology, or related field
- 4+ years of experience in pharma, biotech, or life sciences
Nice To Haves
- Strong Linux systems expertise
- Strong AWS experience, including IAM, EC2, S3, and networking fundamentals
- Hands-on experience with NGS or bioinformatics workflows
- Solid understanding of networking fundamentals (VPCs, routing, security groups, DNS)
- Demonstrated ability to debug complex systems spanning multiple technologies
- Experience integrating systems across cloud and enterprise environments
- Ability to work independently and take ownership of problems
- Demonstrated ability to learn new technologies quickly and work across unfamiliar systems
- Experience with orchestrating and scaling scientific or data workflows in cloud or on-prem environments
- Experience with infrastructure as code or automation tools to manage compute, storage, and networking resources
- Familiarity with data engineering, distributed compute, or high-throughput analysis platforms
- Experience supporting collaborative data science or research environments
- Exposure to CI/CD pipelines and modern DevOps practices
- Experience developing or implementing testing frameworks for pipelines, workflows, or infrastructure
- Familiarity with machine learning or AI workflows in life sciences
- Experience integrating with enterprise platforms, internal tools, or regulated systems
- Comfortable learning new tools and platforms quickly, adapting to changing environments, and working across multiple technologies
- Nextflow
- AWS ParallelCluster or other HPC cluster management tools
- Databricks or large-scale data processing frameworks
- Collaborative platforms for scientific computing (e.g., Posit Connect / Shiny)
Responsibilities
- Operate and improve the cloud platform that runs production NGS and bioinformatics workflows
- Support and troubleshoot scientific workflow pipelines (Nextflow preferred)
- Operate and debug Linux-based production environments
- Investigate and resolve complex issues across the entire platform stack, including workflow orchestration, cloud compute and storage, networking and security, IAM, and application services
- Partner with scientists to translate workflow needs into scalable, secure platform solutions
- Contribute to infrastructure automation and platform reliability improvements
- Integrate and operate multiple research and enterprise platforms
- Apply cloud security and operational best practices
- Participate in technical roadmap discussions and platform architecture decisions
Benefits
- Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance).
- In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
