DevOps System Engineer

Dev Ops, CI/CD, Cloud Formation, Terraform, Docker, Amazon Web Services (AWS), Linux, Git Hub, Kubernetes, High Performance Computing (HPC),

Job-11762

Job Description

We are seeking a skilled Dev Ops / Systems Engineer to design, implement, and maintain cloud and Dev Ops infrastructure with a focus on reliability, scalability, and security. This role offers the opportunity to work with data-intensive workflows, bioinformatics pipelines, and scientific information systems while serving as a technical subject‑matter expert across multiple teams.

This is an exciting opportunity to join a cutting‑edge life sciences organization as a Dev Ops Engineer, where you’ll play a crucial role in supporting groundbreaking research through robust cloud infrastructure and automation. You’ll work at the intersection of technology and science, designing and maintaining systems that power genomics, bioinformatics, and AI‑enabled processes while collaborating with scientists, data engineers, and developers to accelerate innovation in healthcare.

• Start Date:
  
  ASAP
• Duration: 6 months Contract‑to‑Hire position
• Location:
  
  San Diego, CA Hybrid (3 days onsite Tuesday, Wednesday, Thursday)
• Compensation:
  Salary starting at $120K upon conversion to client employee, plus a target bonus program and a comprehensive benefits package.

• Design, build, and maintain secure AWS cloud environments supporting genomics, imaging, computational biology, and laboratory applications
• Implement and manage Infrastructure as Code (IaC) using tools such as Terraform or Cloud Formation for reproducible and scalable deployments
• Build, automate, and administrate organizational infrastructure including microservices architecture and serverless technologies

• Administer and enhance the organization’s Git Hub environment, including repository structure, workflow improvements, and access governance
• Develop and maintain CI/CD pipelines for bioinformatics workflows, internal tools, and GMP‑related applications
• Automate deployment of containerized workflows using Docker and Kubernetes

• Manage Linux/Windows servers supporting laboratory and GMP systems utilizing high‑performance computing environments
• Monitor, troubleshoot, and optimize compute, storage, and network resources for large‑scale scientific datasets
• Implement system monitoring, observability, and alerting solutions to maintain uptime for mission‑critical systems

• Apply cloud security best practices and ensure alignment with GxP, HIPAA, and FDA 21 CFR Part 11 compliance requirements
• Support secure handling and protection of sensitive research and patient data

• Collaborate with developers, data scientists, and bioinformaticians to integrate computational workflows and applications into production environments
• Serve as a Dev Ops and cloud subject‑matter expert, providing training and guidance to cross‑functional partners
• Contribute technical insights to architectural discussions and tooling evaluations

• Infrastructure as Code:
  Expertise with Terraform, Cloud Formation, or similar for automated deployments
• CI/CD Pipelines:
  Hands‑on experience building and optimizing workflows
• Containerization & Orchestration:
  Skilled in Docker and Kubernetes
• Configuration Management:
  Familiarity with Ansible, Puppet, or Chef
• Scripting & Automation:
  Strong scripting skills in Python, Bash, and Power Shell
• Monitoring & Logging:
  Well‑versed in tools like Cloud Watch, Prometheus, Grafana, and ELK
• System Engineering:
  Broad experience including microservices architecture and serverless technologies
• Networking & Security:
  Knowledge of networking fundamentals and security best practices
• HPC & Data Processing:
  Experience with HPC systems and large‑scale workflows
• Regulatory Compliance:
  Familiar with GxP, HIPAA, and FDA 21 CFR Part 11 requirements

• Strong analytical mindset with attention to detail and accuracy
• Clear written and verbal communication skills with ability to document methods and results
• Works effectively with operational leaders, scientists, engineers,…