Full Stack Software Engineer

Lawrence Berkeley National Laboratory’s (LBNL) Scientific Networking Division has an immediate opening for a Full Stack, Python-focused Software Engineer to join Energy Sciences Network (ESnet) on the Orchestration and Core Data team. 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.

About the role

In this exciting role, you 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.

• Build, operate, and maintain backend/frontend components for network orchestration, databases, and web applications.
• Ensure production systems are reliable, scalable, and secure using sound engineering practices.
• Collaborate with stakeholders and support users throughout the product lifecycle.
• Design and implement accessible, high-performance web interfaces using UX/UI best practices and tools like Figma.
• Leverage open-source and internal frameworks to improve network operations.
• Analyze complex problems and develop maintainable software from user stories, specifications, and designs.
• Mentor teammates, coordinate assignments, and foster a collaborative team culture.
• Contribute to automation, orchestration, and network operations solutions across projects.

Requirements

• 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 application development in Linux environments 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.
• Application 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.

Desired Skills

• Experience developing automated deployment systems or network management software.
• Familiarity with Django, SQLAlchemy, FastAPI, ReactJS/NextJS, GraphQL.
• Solid proficiency with Django, SQLAlchemy, or other Python frameworks.
• Understanding of REST and GraphQL-based API solutions.
• Proficiency in Java and the Spring framework.
• Experience with Docker or Kubernetes.
• Proficiency in frontend development in Next.js, React, or other similar frameworks.
• Familiarity with Agile/Scrum, testing, source code management (Git/GitHub), and release procedures.

Benefits

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 a Winter Holiday Shutdown every year.
• Parental bonding leave (for both mothers and fathers).
• Pet insurance.

Pay

The expected salary for this position is $156,864 - $191,724, which fits into the full salary range of $139,440 - $235,308 depending upon the candidate’s skills, knowledge, and abilities, including education, certifications, and years of experience.

Schedule

• This is a full-time 2-year, term appointment with the possibility of extension or conversion to a Career appointment based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
• Work may be performed on-site, hybrid, or full-time telework. Work must be performed within the United States.
• Primary location: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

Priority consideration will be given to candidates who apply by August 20, 2026. Applications will be accepted until the job posting is removed.