DevOps Engineer

Our bioinformatics pipelines, software systems, and diagnostic infrastructure are growing in complexity and scale. Development teams need fast, reliable, secure delivery workflows. Bioinformatics scientists need reproducible, well-governed compute environments. And as a regulated clinical diagnostics company, we need it to be auditable and compliant.

This is a greenfield opportunity to shape how software gets built and deployed at Foresight Dx - designing CI/CD architecture, driving automation across GCP and AWS, and becoming the infrastructure partner our engineering and science teams depend on.

Key Responsibilities

You’ll work primarily with GitHub Actions, Terraform, Docker, and Kubernetes across GCP and AWS environments - collaborating day-to-day with software engineers, bioinformatics scientists, and operations teams. In practice, this means:

• Designing, building and maintaining CI/CD pipelines using GitHub Actions to automate builds, testing, and deployment across development and production environments.

• Implementing infrastructure-as-code solutions with Terraform to support repeatable, version-controlled, and auditable infrastructure deployments.

• Automating deployment and configuration of applications, bioinformatics pipelines, and supporting services across both GCP and AWS.

• Building and maintaining automation scripts in Python and Shell/Bash to reduce manual operations, improve deployment reliability, and increase developer velocity.

• Managing containerized applications using Docker, Kubernetes, Google Cloud Run, and AWS container services.

• Configuring and maintaining monitoring, logging, and altering solutions to provide full visibility into application and pipeline health.

• Implementing security controls across CI/CD pipelines - including secrets management, access controls, and vulnerability scanning - with a regulated-environment mindset.

• Managing configuration management for application environments and bioinformatics workstations.

• Creating clear, comprehensive documentation for deployment processes, runbooks, and troubleshooting guides that support regulatory compliance requirements.

• Driving continuous improvement initiatives to reduce deployment friction, improve build times, and make developers more productive.

• Mentoring and providing technical guidance to development teams on DevOps best practices, cloud-native patterns, and tooling.

Qualifications

Required

• 5-10 years of experience in DevOps, platform engineering, or software engineering with a strong automation focus.

• Proven expertise building and maintaining CI/CD pipelines - GitHub Actions experience strongly preferred; GitLab CI or Jenkins also relevant.

• Strong hands-on experience with GCP and AWS, including deploying and managing production workloads in both environments.

• Proficiency with Terraform for infrastructure-as-code automation and provisioning.

• Solid experience with containerization and orchestration - Docker and Kubernetes are core to this role.

• Strong scripting skills in Python and Shell/Bash; you’re comfortable writing automation from scratch, not just adapting templates.

• Experience with configuration management tools such as Ansible, Chef, or Puppet.

• Solid understanding of software development lifecycle, Git Version control workflows, and branching strategies.

• Experience implementing security best practices in CI/CD pipelines and cloud environments.

• Strong written communication skills and a track record of producing clear, useful process documentation.

• A pragmatic, learner’s mindset - you balance quick wins with thoughtful long-term architecture decisions.

Preferred

• Experienced in regulatory industry - FDA, clinical diagnostics, healthcare - with exposure to validation and compliance documentation requirements.

• Background in software development or engineering with understanding of application architecture.

• Familiarity with bioinformatics workflows, NGS pipelines, or computational biology environments.

• Experience with observability platforms such as Prometheus, Grafana, Datadog, or New Relic.

• Knowledge of GitOps practices and declarative deployment patterns.

• Cloud FinOps experience or cost optimization work in multi-cloud environments.

• Contributions to open-source DevOps tools or automation projects.