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Formation Bio

AI-driven platform accelerates clinical-stage drug development

Engineering Manager - Infrastructure

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 7 years of total experience across hands-on infrastructure/SRE work and people management, including at least 3 years directly managing Site Reliability, Infrastructure, or DevOps engineers.
  • A track record of hiring, developing, and retaining strong engineers, with the ability to give direct, actionable feedback and set clear expectations.
  • Strong operational and reliability judgment, including experience overseeing advanced diagnostics, incident response, and root cause analyses. Digital forensics is a plus, but not required.
  • A strong bias for automation and a low tolerance for repetitive manual work, paired with the judgment to know the rare cases when clickops is the right call and to coach the team accordingly.
  • A credible point of view on AI-native engineering and the operational needs of an agentic software development lifecycle, including agent access and guardrails and changes to CI/CD and incident response when agents write and ship code. Ability to set a high bar for responsible AI use to accelerate infrastructure development, investigate incidents, perform diagnostics, and make operational improvements.
  • Experience managing or coordinating technical projects and programs, including resource budgeting, estimates, tracking, and reporting.
  • Working knowledge of managing workloads in AWS and Snowflake.
  • Familiarity with managing multiple shared commercial off-the-shelf and free and open-source software applications in a multi-tenant environment.
  • Working knowledge of Docker, GitHub, Kubernetes, Python, Terraform/OpenTofu, and virtual networking sufficient to guide and evaluate technical decisions.
  • Experience supporting regulated or validated workloads is helpful, but not required.

Responsibilities

  • Hire, coach, and develop a team of infrastructure and site reliability engineers, including setting goals, delivering feedback, and managing performance.
  • Set the technical direction and roadmap for infrastructure and site reliability engineering, prioritizing work across reliability, security, cost, and developer experience in partnership with engineering leadership. Build operating practices and paved paths that allow the team to meet organizational pace without compromising reliability or security.
  • Partner with engineers and data scientists to develop and deploy secure, observable, and reliable software across containerized applications, internal tools, machine learning pipelines, and AI model training workloads, including software developed with AI-assisted and agentic workflows. Ensure the team designs solutions to fill gaps and follows them through from concept to implementation.
  • Oversee research, development, and maintenance of infrastructure services spanning multiple cloud providers and operating environments, including compute, load balancers, databases, and secrets management across development, staging, and production, as well as infrastructure supporting validated and GxP-relevant workloads.
  • Ensure the team creates, reviews, maintains, and optimizes infrastructure as code, container images, and CI/CD pipelines, while maintaining a high bar for engineering quality.
  • Review and provide feedback on requirements and design documents, as well as operating and maintenance procedures, and ensure documentation and knowledge-sharing practices remain strong across the team.
  • Drive knowledge sharing, training, and mentoring on infrastructure and site reliability engineering fundamentals throughout the organization.
  • Own the team's support-rotation coverage, including staffing, escalation paths, and incident retrospectives.
  • Manage team budgeting, resourcing, and reporting for infrastructure initiatives.

Desired Qualifications

  • Digital forensics experience.
  • Experience with Azure, Google Cloud Platform, and/or Vercel.
  • Experience supporting regulated or validated workloads.

About the Company

Formation Bio

AI-driven platform accelerates clinical-stage drug development

Formation Bio uses an AI-driven platform to speed up drug development by focusing on clinical-stage assets. It acquires and advances these assets using flexible financing structures, aiming to shorten timelines and cut costs for bringing new drugs to market. The core product is the proprietary AI tools that help with drug selection, development planning, and improving overall efficiency, enabling partnerships and successful commercialization with pharmaceutical and biotech companies. Compared with competitors, Formation Bio combines a data-powered approach with adaptable financing and asset acquisition strategies to move assets forward quickly and cost-effectively. The goal is to make treatments more accessible and affordable by accelerating development and enabling faster, more predictable commercialization through AI-enhanced decision making and flexible funding options.

Company size
51-200
Company stage
Series D
Total funding
$530.3M
Headquarters
New York City, New York
Founded
2013

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