Senior Site Reliability Engineer

Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development.

Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others.

• Our Vision for AI in Pharma

• Our Current Drug Portfolio

• Our Technology & Platform

At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently.

As a Senior Site Reliability Engineer at Formation Bio, you will build and operate the infrastructure, delivery systems, and operational practices that allow our engineering organization to ship reliable software quickly and safely. You will work across cloud infrastructure, developer platforms, observability, and production workloads, including product applications, internal tools, data systems, and ML and AI workloads, taking problems from initial diagnosis through implementation and production adoption.

Formation Bio is an AI-native engineering organization. You will use modern AI tools, including agentic coding systems, as part of your daily engineering practice while applying the judgment needed to validate their output and operate reliable production systems. You will partner closely with Product Engineering, Data Engineering, and Data Science to design, build, and develop the infrastructure and operational platform that supports product software, data systems, and ML and AI workloads, with the opportunity to shape how the broader organization builds and operates AI-native systems.

• Own the infrastructure and operational platform for shared engineering workloads, including compute, runtime environments, orchestration, deployment, observability, access controls, and reliability.

• Build and operate secure, observable, reliable infrastructure for product applications, containerized services, internal tools, data systems, ML pipelines, inference, and agentic software.

• Research, develop, and maintain core aws infrastructure and additional cloud outposts for services across development, staging, and production, including compute, networking, databases, load balancers, and secrets management.

• Create, review, maintain, and optimize infrastructure as code, CI/CD pipelines, and reusable platform patterns.

• Establish strong operational practices, including SLOs, monitoring, alerting, runbooks, incident response, advanced diagnostics, root cause analysis, and post-incident follow-through.

• Work with Product engineering, Data Engineering, and Data Science to evaluate, negotiate, and