Top Biotech DevOps & Platform Engineering Jobs

Lead the design and operation of a fault-tolerant cloud infrastructure, implement infrastructure-as-code, manage Kubernetes reliability, and mentor engineers.

Design and implement scalable backend services and distributed data systems. Build and maintain ETL pipelines and data warehousing, enforce data contracts, and manage cloud infrastructure (primarily GCP). Lead system architecture, mentor engineers, own operational on-call responsibilities, and collaborate with product, bioinformatics, and ML teams to enable secure, compliant data and compute workflows for research and clinical use.

Lead a small cloud engineering team to design, implement, and operate secure, scalable GCP environments using IaC and automation. Drive GCP cloud-native patterns, mentor engineers, collaborate cross-functionally, ensure compliance and continuous improvement, and serve as escalation for operational issues.

Lead a team of infrastructure engineers at Benchling, enhancing cloud infrastructure reliability, scalability, security, and compliance in a regulated biotech environment.

Design, architect, and operate secure cloud infrastructure (primarily Azure) at scale. Lead Kubernetes implementations and platform reliability, mentor junior engineers, troubleshoot and perform root-cause analysis, and drive cloud infrastructure projects from requirements through technical execution.

Deploy, configure, and optimize molecular modeling and informatics applications in customer cloud/HPC environments. Provide technical solutions, maintain scientific computing resources, support installations and integrations, troubleshoot production issues, and collaborate with product managers, scientists, and developers.

Design and develop cloud infrastructure and AI systems for a biopharma platform. Lead development efforts, ensuring scalability, security, and collaboration across teams.

Lead global platform, data, and services engineering teams through subordinate managers and technical leads. Own end-to-end delivery, architecture, vendor relationships, hiring, and modernization from monoliths to microservices while driving adoption of agentic-AI tooling and ensuring organizational health across time zones.

The Manager of Reliability Engineering ensures the availability, performance, and security of websites and AI features, driving automation and reliability best practices while mentoring engineers and optimizing systems.

Lead design, build, and operate the company data platform: APIs, web services, data pipelines, data warehousing, infrastructure tooling, monitoring, deployment systems, and production support. Manage and mentor a platform team, set goals, track metrics, and collaborate with engineering and research teams to deploy algorithms and troubleshoot production issues.