Full Stack Software Engineer

Lawrence Berkeley National Laboratory (LBNL) Scientific Networking Division has an immediate opening for a Full Stack Software Engineer to join Energy Sciences Network (ESnet) on the Orchestration and Core Data team. Remote work is an option. The Orchestration and Core Data team is a small, collaborative group of engineers that provide innovative network management solutions designed to orchestrate and automate service deployment, device management, and ongoing operations of the ESnet network. Remote work is an option.

This position may be hired at a level 3 or level 4.

CSE3 candidates will contribute to the design, development, operation, and maintenance of robust, mission-critical software solutions, providing technical guidance to peers and ensuring reliable service delivery.

CSE4 candidates will lead the design and architecture of complex, large-scale systems, influence cross-team initiatives, establish technical standards, and mentor other engineers. CSE4s may also participate in organizational-level technical reviews and contribute to technical standards.

What You Will Do, at Level 3:

• Contribute to building, operating, and maintaining backend and frontend network orchestration, database, and web applications.

• Ensure reliability, scalability, and security of production systems, applying sound judgment in selecting methods and approaches.

• Collaborate with stakeholders and guide users through the full product lifecycle, building relationships with peers and contacts across technical areas.

• Apply UX/UI design principles and implement accessible, performant web interfaces using tools like Figma.

• Leverage open-source and internal frameworks to support network operations.

• Independently analyze complex issues, evaluate multiple factors, and write maintainable software based on user stories, specifications, and designs.

• Mentor peers, coordinate activities on new assignments, and contribute to a growth-oriented team culture.

• Contribute to solutions that enhance service automation, orchestration, and network operations within assigned projects.

Additional Responsibilities, at Level 4:

• Lead design, development, and deployment of complex backend and frontend systems across teams.

• Define technical standards and guide multi-team technical strategy and apply independent judgment in setting methods, techniques, and evaluation criteria.

• Drive innovative solutions improving large-scale network automation and orchestration.

• Mentor engineers broadly and shape team engineering practices, and coordinate cross-team technical efforts.

• Participate in organizational-level technical reviews and establish technical standards.

• Tackle significant, high-impact challenges that require analysis of complex and sometimes abstract factors.

What is Required, at Level 3:

• Typically requires a Bachelor’s degree and 8 years of related experience, or advanced degree and 6 years; or an equivalent combination of education and experience.

• Experience with Linux development using Python and JavaScript.

• Exposure to scalable systems, interfaces, and data models.

• Strong problem-solving and analytical skills.

• Ability to work effectively in collaborative, interdisciplinary teams.

• Linux development skills with Python and JavaScript.

• Understanding of data structures and algorithms.

• Familiarity with web APIs such as GraphQL, REST, and SOAP.

• Ability to deliver solutions on time and within project constraints.

• Excellent written and verbal communication skills.

Additional Requirements, at Level 4:

• Typically requires a Bachelor’s degree and 12 years of related experience, or advanced degree and 8 years; or an equivalent combination of education and experience.

• Experience leading design and architecture of complex systems.

• Production-scale system design experience.

• Exposure to multi-institutional collaborations or product/project management.

• Ability to write clear requirements, use cases, designs, and documentation.

• Deep understanding of system integration, distributed architectures, and web APIs.

• Ability to influence technical strategy and mentor engineers broadly.

• Experience designing secure, scalable, and accessible systems.

• Demonstrated leadership and cross-team collaboration skills.

• Ability to address significant and unique challenges that may involve abstract factors, exercising independent judgment in methods, techniques, and evaluation criteria.

Desired Qualifications:

• Experience developing automated deployment systems or network management software.

• Familiarity with Django, SQLAlchemy, FastAPI, ReactJS/NextJS, GraphQL.

• Expert full-stack proficiency, including backend and frontend frameworks.

• Deep REST and GraphQL expertise.

• Familiarity with network protocols, containers, Kubernetes, and secure, scalable production systems.

• Mentoring and leadership experience.

• Solid proficiency with Django, SQLAlchemy, or other Python frameworks.

• Understanding of REST and GraphQL-based API solutions.

• Familiarity with Agile/Scrum, testing, source code management (Git/GitHub), and release procedures.

• Expert-level Django, SQLAlchemy, or other Python frameworks.

• Deep REST and GraphQL expertise.

• Knowledge of networking, containers, Kubernetes, and security principles (zero-trust, federated identity).

• Advanced UI/UX design skills, accessibility, and front-end performance optimization.

Notes:

• This is a full-time, career appointment, exempt (monthly paid) from overtime pay.

• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.

• Level 3: The full salary range of this position is between $136,440 to $230,244 per year and is expected to pay between a targeted range of $153,492 to $187,596 per year depending upon candidates' full skills, knowledge, and abilities, including education, certifications, and years of experience.

• Level 4: The full salary range of this position is between $155,388 to $262,244 per year and is expected to pay between a targeted range of $174,804 to $213,660 per year depending upon candidates' full skills, knowledge, and abilities, including education, certifications, and years of experience.

• This position is 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 may be performed on-site, hybrid, full-time telework. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites.

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.