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DevOps Software Developer (KBase Team) at Berkeley Lab
Berkeley Lab
Berkeley, CA
Information Technology
Posted 0 days ago
Job Description
Berkeley Labs (LBNL) Environmental Genomics and Systems Biology (EGSB) Division is looking for a DevOps Software Engineer to join the US Department of Energys (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 platforms stability performance and scalability.This position has an anticipated start date of February 2 2026.Were 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 LabWe invest in our employees by offering a total rewards package you can count on:Exceptional health and retirement benefits including pension or 401K-style plansA culture where youll belong - we are invested in our teams!In addition to accruing vacation and sick time we also have an annual Winter Holiday ShutdownParental bonding leave (for both mothers and fathers)Pet insuranceWhat 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 KBases 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 Bachelors 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 Masters 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: For full consideration please apply with a resume and a cover letter describing your interest by December 23 2025.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 $117132 - $146400 annually which fits within the full salary range of $117132 - $197676 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 candidates 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: 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 Labs mission of leading scientific discovery excellence and 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. Key Skills Account Payable,C++,Community Support,Garment,Import & Export,Java Employment Type : Full-Time Experience: years Vacancy: 1 Yearly Salary Salary: 117132 - 146400
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