Senior AI-Native SRE Engineer

Formation

Town of Boston (NY)

Hybrid

USD 186,000 - 232,000

Full time

2 days ago

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Job summary

Formation Bio seeks a Senior Site Reliability Engineer to build and operate the infrastructure, delivery systems, and operational practices enabling rapid, reliable software delivery across cloud and AI workloads.

You will collaborate with Product Engineering, Data Engineering, and Data Science to design, implement, and optimize the infrastructure and platform that supports product software, data systems, and ML/AI workloads in a hybrid NYC/Boston setup.

Qualifications

5+ years of Site Reliability Engineering or similar discipline.
Production experience with cloud infrastructure and distributed systems.
Experience with AWS and Snowflake; Azure/GCP/Vercel a plus.
Experience with Docker, GitHub, Kubernetes, Python, Terraform or OpenTofu, and virtual networking; Terragrunt is a plus.
Experience supporting production ML/AI workloads is a plus.
Strong collaboration and communication across engineering, Data Science, and other partners.

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, 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.
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.