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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

  • Have 7+ years of total experience across hands-on infrastructure/site reliability engineering work and people management, including 3+ years directly managing Site Reliability, Infrastructure, or DevOps engineers.
  • Have a track record of hiring, developing, and retaining strong engineers, with the ability to give direct, actionable feedback and set clear expectations.
  • Have strong operational and reliability judgment, including experience overseeing advanced diagnostics, incident response, and root cause analyses.
  • Have a strong bias for automation and judgment about when manual operations are appropriate, and be able to coach the team accordingly.
  • Have a credible point of view on AI-native engineering and the operational requirements of an agentic software development lifecycle, including agent access and guardrails, changes to continuous integration and delivery and incident response, and responsible use of AI for infrastructure development, incident investigation, diagnostics, and operational improvements.
  • Have experience managing or coordinating technical projects and programs, including resource budgeting, estimates, tracking, and reporting.
  • Have working knowledge of managing workloads in Amazon Web Services and Snowflake.
  • Be familiar with managing multiple shared commercial off-the-shelf and free and open-source software applications in a multi-tenant environment.
  • Have working knowledge of Docker, GitHub, Kubernetes, Python, Terraform/OpenTofu, and virtual networking sufficient to guide and evaluate technical decisions.
  • Exceptional collaboration and communication skills to work effectively with stakeholders from diverse disciplines and varying levels of technical expertise, including engineering leadership and non-technical partners.

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 enable 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 artificial-intelligence model-training workloads, including software developed with AI-assisted and agentic workflows.
  • Ensure the team designs solutions that fill gaps and sees them through from concept to implementation.
  • Oversee research, development, and maintenance of infrastructure services across 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 continuous integration and continuous delivery 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 is a plus, but not required.
  • Experience with Azure, Google Cloud Platform, and/or Vercel is a plus.
  • Experience supporting regulated or validated workloads is helpful, but not required.

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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