DevOps Software Developer (KBase Team)

Berkeley Lab’s (LBNL) Environmental Genomics and Systems Biology (EGSB) Division is looking for a DevOps Software Engineer to join the US Department of Energy’s (DOE) Systems Biology Knowledgebase (KBase) team!

In this exciting role, you will contribute directly to an open-source platform that is transforming how biologists and data scientists collaborate, share data, and accelerate discovery.

KBase integrates massive biological datasets and powerful computational tools into a unified, extensible system that supports transparent, reproducible science. This position will contribute to the core infrastructure of the system, supporting the operation and evolution of an advanced platform that integrates cloud-native software, on-premise hardware, and high-performance computing hosted in National Lab data centers. This role is responsible for proactively identifying and resolving complex issues to ensure the platform’s stability, performance, and scalability.

This position has an anticipated start date of February 2, 2026.

We’re here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!

Why join Berkeley Lab?

We invest in our employees by offering a total rewards package you can count on:

• Exceptional health and retirement benefits, including pension or 401K-style plans
• A culture where you’ll belong – we are invested in our teams!
• In addition to accruing vacation and sick time, we also have an annual Winter Holiday Shutdown
• Parental bonding leave (for both mothers and fathers)
• Pet insurance

What You Will Do:

• Develop and implement automation to deploy, configure, and support on-premise compute resources and services (e.g., databases, microservices, LLMs, monitoring systems, object storage like Minio, and High – Performance Computing (HPC)).
• Design, implement, and support robust monitoring, alerting, and logging solutions for infrastructure and platform services.
• Ensure the security, reliability, and performance of KBase’s on-premise hardware and software stack by documenting, hardening, and continuously improving its security posture in adherence with National Lab and DOE security standards.
• Develop and maintain comprehensive documentation for infrastructure designs, configurations, and operational procedures.
• Implement DevSecOps pipelines, best practices, and security scanning (SCA/SAST) for infrastructure and software components.

What We Are Looking For:

• A Bachelor’s Degree (or equivalent knowledge/training) in Computer Science, Engineering, or a related field and a minimum of 5 years of relevant experience as a Software Infrastructure Engineer, DevOps Engineer, Site Reliability Engineer (SRE), or similar role or an equivalent combination of education and experience.
• Experience with infrastructure as code (laC) tools (e.g., Terraform, Ansible), containerization technologies (e.g., Docker), and container orchestration platforms (e.g., Kubernetes).
• Experience with containerization (Docker) and Kubernetes orchestration, including Helm, operators, and resource management for data-intensive workloads.
• Experience with version control systems (e.g., Git), CI/CD pipelines, monitoring, and observability tools (e.g., Prometheus, Grafana, ELK stack or similar).
• Experience with the deployment and management of relational and/or NoSQL databases.
• Expert-level knowledge of Linux operating systems, system administration, and proficiency in scripting languages (e.g., Python, Bash, Go).
• Proficiency in Python, with the ability to write modular, production-ready software and integrate it into cloud-native workflows.
• Demonstrated understanding of core DevOps, software engineering principles for on-premise distributed systems, microservices, and HPC architectures.
• Familiarity with object storage systems such as MinIO or AWS S3 and understanding of data lifecycle management in distributed storage.
• Familiarity with Apache Spark (PySpark, SparkSQL, or Structured Streaming) and distributed data processing frameworks.
• Excellent oral and written communication skills including experience organizing and presenting information to technical and non technical audiences.
• Strong analytical skills including experience identifying and solving complex technical problems.
• Demonstrated interpersonal skills including experience collaborating with a variety of scientific, operations, and technical teams.
• Must be available to come onsite as required to access the server room for maintenance or troubleshooting.

Desired Qualifications:

• A Master’s Degree (or equivalent knowledge/training) in Computer Science, Engineering, or a related discipline.
• Experience with Computational or Systems Biology within an academic or research environment.
• Experience with virtualization technologies (e.g., KVM), distributed messaging or search systems (e.g., Kafka, Elasticsearch), and MLOps practices and tools. (e.g., MLflow, Kubeflow, Model Serving infrastructure etc).
• Experience with HPC environments and workload managers/schedulers (e.g., Slurm, HTCondor, PBS).

Additional Information:

• Application Deadline: Priority consideration will be given to candidates who apply with a curriculum vitae (CV) or resume and a cover letter by January 15, 2026. Applications will be accepted until the job posting is removed.
• Appointment Type: This is a full time, exempt from overtime pay (monthly paid), 1 year (benefits eligible), Term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
• Salary Information: This position has a budgeted salary range of $117,132 – $146,400 annually, which fits within the full salary range of $117,132 – $197,676 annually for job code C76.2. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary for this position will be commensurate with the final candidate’s qualification and experience, including skills, knowledge, relevant education, certifications, and aligned with the internal peer group.
• Background Check: This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work Modality: This position is eligible for a hybrid work schedule – a combination of teleworking and performing work on site at Lawrence Berkeley National Lab located at 1 Cyclotron Road, Berkeley, CA 94720. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab. Work schedules are dependent on business needs. For this role, there will be an expectation to conduct work onsite as needed. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information click here).
• Relocation: This position is not eligible for relocation assistance.
• Work Authorization: Applicants must be legally authorized to work in the United States. Berkeley Lab does not provide visa sponsorship for this position.

Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov

Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab’s mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.

Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti-discrimination efforts, consistent with its obligations as a Federal and State contractor.

Misconduct Disclosure requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.