Staff SRE - AI-Driven Life Sciences Platform

Manifold; Cambridge (MA); On-site; USD 160,000 - 225,000; Full time

Job summary

Manifold is seeking a Staff Site Reliability Engineer to design, build, and operate the multi-account AWS infrastructure underpinning its platform. Youll work with Platform engineering and Professional Services to ensure secure, scalable, observable systems for internal and customer-facing use.

You will design infrastructure as code, automate deployments, manage CI/CD pipelines, and troubleshoot complex production issues while balancing automation with pragmatic approaches.

Qualifications

• 7+ years in infrastructure, DevOps, SRE, or platform engineering with growing scope.
• Hands-on cloud experience (AWS, GCP, or Azure) and troubleshooting across apps and infra.
• Strong Terraform and CI/CD experience with modern tooling.
• Familiar with identity systems, containers, and network tooling; data platform basics.

Responsibilities

• Design and maintain infrastructure as code solutions across multi-account AWS.
• Automate customer deployments, multi-account provisioning, and bootstrapping.
• Manage CI/CD pipelines, build reliability, tests, and deployments.
• Troubleshoot production issues across infra, data, and apps; leverage AI tools to reduce toil.
• Address security/compliance in regulated environments.

Skills

SRE leadership

Cloud platforms

Terraform / IaC

CI/CD (Github Actions)

Security & compliance

Multi-account AWS environments

AI tooling awareness

Tools

Terraform

Github Actions

Docker

ECS

Okta

Auth0

Snowflake

Airflow

dbt

PostgreSQL

Tailscale

WireGuard

Packer

Job description

Manifold is seeking a Staff Site Reliability Engineer to design, build, and operate the multi-account AWS infrastructure underpinning its platform. Youll work with Platform engineering and Professional Services to ensure secure, scalable, observable systems for internal and customer-facing use.

You will design infrastructure as code, automate deployments, manage CI/CD pipelines, and troubleshoot complex production issues while balancing automation with pragmatic approaches.