DevOps Software Engineer

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 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 September 1, 2025.

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 is Required:

• A Bachelor’s Degree (or equivalent knowledge/training) in Computer Science, Engineering, or a related field and a minimum of 5 years of professional relevant experience in a Software Infrastructure, DevOps Engineer, Site Reliability Engineer (SRE), or similar role or an equivalent combination of education and experience.
• Experience with infrastructure as code (IaC) tools (e.g., Terraform, Ansible), containerization technologies (e.g., Docker), and container orchestration platforms (e.g., Kubernetes).
• 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.
• Demonstrated understanding of core DevOps, software engineering principles for on-premise distributed systems, microservices, and HPC architectures.
• Expert-level knowledge of Linux operating systems, system administration, and proficiency in scripting languages (e.g., Python, Bash, Go).
• 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.

Desired Qualifications:

• A Master’s Degree (or equivalent knowledge/training) in Computer Science, Engineering, or a related discipline.
• Experience working in 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).
• Knowledge of specific database technologies (e.g., MongoDB, PostgreSQL, ArangoDB, Minio).

Notes:

• Application Deadline: For full consideration, please apply with a resume and cover letter describing your interest in this position by July 31, 2025.
• Appointment Type: This is a full time, exempt from overtime pay (monthly paid), 2 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 is expected to pay $109,152 - $136,428 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 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. Work schedules are dependent on business needs. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information click here).
• Relocation Assistance: This position is not eligible for relocation assistance.
• Eligibility: This position is not eligible for visa sponsorship or transfer now or in the future (e.g., H-1B, TN, STEM OPT, etc.). You must be legally authorized to work in the United States to be considered 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.