Manifold AI

AI

StaffSiteReliabilityEngineer

$160–225k Newton, Massachusetts, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Staff candidates.

The Brief

“Staff Site Reliability Engineer at Manifold AI. Skills: Site Reliability Engineering, AI Infrastructure, Data Infrastructure, AWS Infrastructure. Design infrastructure as code. Maintain infrastructure as code”

What You'll Achieve.

Accelerate life-changing medicines; Operate faster and more effectively; Bring life-changing medicines to patients faster

Industry & Context.

AI
Problems you'll solve

Troubleshoot complex production issues

What They're Looking For.

Must Have

7+ years infrastructure experience, 7+ years DevOps experience, 7+ years SRE experience, 7+ years platform engineering experience, Hands-on cloud experience, Hands-on application development experience, Significant infrastructure-as-code experience, CI/CD experience, Comfort managing complex environments, Bias towards pragmatic automation

Nice to Have

AWS experience, GCP experience, Azure experience, Okta familiarity, Auth0 familiarity, Docker proficiency, ECS proficiency, Packer proficiency, Tailscale proficiency, WireGuard proficiency, Snowflake working knowledge, Airflow working knowledge, dbt working knowledge, PostgreSQL working knowledge, AI built into work, Curious about new tools, Resourceful in applying tools, Concrete examples of AI impact

What You'll Do.

Design infrastructure as code

Maintain infrastructure as code

Automate customer infrastructure deployments

Manage CI/CD pipelines

Troubleshoot production issues

Leverage LLM to minimize toil

Manage date to date operations

Perform networking work

Perform security work

Perform compliance work

How You'll Work.

Team & Collaboration

Platform engineering teams; Professional Services teams; Customer IT groups

Process & Methodology

Roadmap planning

Full Job Description

About Manifold Manifold is the AI platform for life sciences, accelerating life-changing medicines to patients. Our products speed up workflows in areas from target identification and clinical development to market access and precision medicine in the clinic, while maintaining the governance life sciences requires. Global companies and premier research institutions use Manifold to operate faster and more effectively. Backed by leading investors including Reach Capital, TQ Ventures, Calibrate Ventures, SilverArc Capital, and Industry Ventures, Manifold serves tens of thousands of users across hundreds of organizations globally. About the Role Manifold is looking for a Staff Site Reliability Engineer (SRE) to work at the intersection of AI, data infrastructure, and life sciences. In this high-impact role, you will help design, build, and operate the multi-account AWS infrastructure that acts as the foundation for Manifold’s platform. As a Staff SRE, you'll work closely with Platform engineering and Professional Services teams to ensure Manifold’s internal and customer-facing infrastructure is secure, scalable, and observable. SREs are expected to be fluent across a wide-ranging tech stack, and comfortable working in a high-pressure, multi-threaded environment. They are also expected to balance a bias towards automation with more pragmatic approaches and have an intuitive understanding of the tradeoffs involved. The infrastructure you deploy and manage will play a key role in Manifold's success and help our customers bring life-changing medicines to patients faster. What You'll Do Design and maintain infrastructure as code solutions, thinking holistically about topology and component dependencies. You will have full responsibility for everything from Terraform plans to production observability. Automate customer infrastructure deployments, including multi-account provisioning, database setup, workflow orchestration, and application bootstrapping. Manage CI/CD pipelines

Free ATS check

Applying for this Staff Site Reliability Engineer role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Greenhouse

  • Create a Greenhouse profile before applying — it saves time across multiple applications.
  • Upload your resume as a PDF; the parser handles it better than Word.
  • Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
  • Enable email notifications to track application status in real time.

ANONYMOUS · UNFILTERED

What do employees actually say about Manifold AI?

Real rants from real employees. Read before you apply.

Read Company Rants →