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 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.
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
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