Staff DevOps Automation Engineer - USA Remote
About The Position
The Staff DevOps Engineer owns the delivery and operational backbone of the platform behind our AI initiatives — CI/CD, infrastructure as code, environment management, observability, and production operations. You will work directly with the teams building AI into consequential work across the company: molecular design, autonomous labs, supply chain, professional services, and more. You will set the technical patterns others build on and help define what delivery infrastructure looks like as workloads become increasingly LLM-driven and agentic. This position reports to the Senior Director, Data and AI Platform and is part of the Chief Information Officer (CIO) Office located in Washington, DC and will be fully remote.
Requirements
- 5+ years of software, platform, or infrastructure engineering experience, including hands-on data and/or AI/ML infrastructure work; CS/Engineering degree or equivalent practical experience.
- Deep, hands-on expertise with at least one major cloud platform (AWS or Azure), plus working familiarity with multi-cloud environments and their data and AI services.
- Strong experience with Infrastructure as Code (e.g., Terraform / Pulumi), CI/CD tooling (e.g., GitHub Actions, GitLab CI, etc), and containerization/orchestration (Docker, Kubernetes), with proficiency in at least one language (Python, Go, Bash) for automation and tooling.
- Solid security and networking fundamentals for provisioning secure cloud resources, and a track record operating production systems: monitoring, observability, incident response, and reliability practices.
- Proven ability to set technical direction at platform scale: driving cross-team architecture and design decisions, establishing standards, and mentoring engineers in ambiguous, high-impact problem spaces.
Nice To Haves
- Life sciences, diagnostics, or biotechnology (e.g., partnering with R&D, quality, clinical, manufacturing, or commercial teams)
- Data and engineering practices in industries governed by regulatory standards (e.g., HIPAA, GxP), compliance frameworks (e.g., SOX), and rigorous data governance requirements.
- Working in a matrixed environment
Responsibilities
- Design, build, automate, and operate secure, scalable cloud infrastructure across Azure using Infrastructure as Code (Terraform, Pulumi, etc.), while embedding governance, compliance, security, data quality, and auditability by design.
- Develop and maintain the platform engineering ecosystem, including CI/CD pipelines, self-service capabilities, and resource provisioning frameworks that enable data scientists and engineers to rapidly and safely access compute, data, and ML resources without deep infrastructure expertise.
- Establish and manage platform operations, including observability, monitoring, alerting, reliability practices, support models, and operational processes that ensure platform stability, performance, and maintainability.
- Evaluate, integrate, and optimize emerging technologies and services, providing practical recommendations and implementing modern tooling that enhances platform capabilities, scalability, and user experience.
- Collaborate across platform leadership, engineering teams, and internal customers to translate requirements into well-engineered solutions, while mentoring junior engineers, contributing to technical standards and documentation, and fostering a culture of technical excellence, continuous learning, and collaboration.
Benefits
- paid time off
- medical/dental/vision insurance
- 401(k)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
