Job description

About Formation Bio 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. You can read more at the following links: 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. About the Position 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. Responsibilities 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 implement architecture and infrastructure for product software, data systems, model training, and inference based on functional requirements Use AI tools to accelerate infrastructure development, investigate incidents, improve documentation, build automation, and make operational improvements while validating their output. Participate in the support rotation and incident response. Maintain a strong bias for automation, the patience for ClickOps, and the experience to know when each is appropriate. Write and review requirements, design documents, and operating procedures. Share knowledge and mentor engineers on infrastructure and SRE fundamentals. About You 5+ years of relevant experience in Site Reliability Engineering, infrastructure, systems, DevOps, or a similar discipline. Production experience operating cloud infrastructure and distributed systems, with strong operational and reliability judgment. Experience with advanced diagnostics, incident response, root cause analysis, observability, and automation. Experience with AWS and Snowflake. Experience with Azure, GCP, and/or Vercel is a plus. Working experience with Docker, GitHub, Kubernetes, Python, Terraform or OpenTofu, and virtual networking. Terragrunt is a plus Experience supporting production ML or AI workloads, MLOps infrastructure, workflow orchestration, model serving, or a related platform is a plus. Strong SRE and infrastructure fundamentals are the core requirements. Experience managing shared COTS and FOSS software applications in addition to our internal software and tools Daily fluency with AI tools, including LLMs and agentic coding systems, paired with strong engineering judgment and a high bar for validation. Exceptional collaboration and communication skills across engineering, Data Science, Data Engineering, Security, and non-technical partners. Experience operating infrastructure in a regulated or validated environment is a plus. Total Compensation Range: $185,500 - $232,000 Compensation Individual compensation is determined by several factors, including role scope, geographic location, and skills & experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. If the posted range doesn't match your expectations, we still encourage you to apply! Where We Hire Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered. Please apply only if you reside in these locations or are willing to relocate . Equal Opportunity Formation Bio is committed to building a diverse and inclusive team. We are an equal opportunity employer and welcome candidates from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender identity or expression, sexual orientation, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by federal, state, or local law. We've seen a rise in recruiting impersonation scams across the industry, where fake profiles pose as recruiters aiming to trick candidates into sharing personal and financial information through illegitimate interviews and job offers. All legitimate recruiting communications from Formation Bio will come from a @formation.bio email address. If you receive outreach from someone claiming to work at Formation Bio through any other domain or channel, please disregard it and do not share any personal information.

Requirements

Must-haves

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.
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.
Use AI tools to accelerate infrastructure development, investigate incidents, improve documentation, build automation, and make operational improvements while validating their output.
Participate in the support rotation and incident response. Maintain a strong bias for automation, the patience for ClickOps, and the experience to know when each is appropriate.
Write and review requirements, design documents, and operating procedures. Share knowledge and mentor engineers on infrastructure and SRE fundamentals.
5+ years of relevant experience in Site Reliability Engineering, infrastructure, systems, DevOps, or a similar discipline.
Production experience operating cloud infrastructure and distributed systems, with strong operational and reliability judgment.
Experience with advanced diagnostics, incident response, root cause analysis, observability, and automation.
Experience managing shared COTS and FOSS software applications in addition to our internal software and tools
Daily fluency with AI tools, including LLMs and agentic coding systems, paired with strong engineering judgment and a high bar for validation.
Exceptional collaboration and communication skills across engineering, Data Science, Data Engineering, Security, and non-technical partners.

Nice-to-haves

Experience with AWS and Snowflake. Experience with Azure, GCP, and/or Vercel is a plus.
Working experience with Docker, GitHub, Kubernetes, Python, Terraform or OpenTofu, and virtual networking. Terragrunt is a plus
Experience supporting production ML or AI workloads, MLOps infrastructure, workflow orchestration, model serving, or a related platform is a plus. Strong SRE and infrastructure fundamentals are the core requirements.
Experience operating infrastructure in a regulated or validated environment is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlawsci/cdazuregcpdockerkubernetespython

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Vision