Lawrence Berkeley National Laboratory (LBNL) Scientific Networking Division has an immediate opening for a Back End, 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 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. In this role, developers will create and operate robust mission critical solutions involving automated network provisioning, built with a combination of open source and internally developed software frameworks. These solutions are used to inform the design and operation of ESnet and more broadly to serve the needs of the Department of Energy.
This position may be hired at a level 2 or level 3.
What You Will Do, if hired at a Level 2:
Contribute to building and operating network orchestration and database applications.
Collaborate with stakeholders taking users through the full product lifecycle to continually improve services.
Participate in project teams to successfully develop and deliver solutions, on time and within project budgets.
Independently write software based on user stories, specifications and designs.
Contribute to design, development, and deployment efforts for supported services and software.
Contribute to a positive growth oriented culture.
Work on and resolve problems of diverse scope where analysis of data requires evaluation of identifiable factors.
Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
Network with senior internal and external personnel in own area of expertise.
In Additional to Above, if hired at a Level 3:
Design network orchestration and database applications.
Lead project teams to successfully develop and deliver solutions, on time and within project budgets.
Lead development and deployment efforts for supported services and software.
Work on and resolve complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results.
Determine methods and procedures on new assignments and may coordinate activities of other personnel.
Network with key contacts outside your own area of expertise.
What is Required, if hired at a Level 2:
Typically requires a Bachelor's degree and minimum of 5 years of related experience, or an equivalent combination of education and work experience.
Demonstrated ability to work in a collaborative team context.
Demonstrated software development experience targeting Linux / Unix platforms involving:
code contributions in Python
working with systems, interfaces, and data models
working with scalable distributed systems and/or web applications
Ability to develop in a Linux environment using Python.
Understanding of data structures and algorithms.
Familiarity with web APIs such as GraphQL, REST and SOAP.
Ability to troubleshoot and solve problems of diverse scope where analysis of data requires evaluation of identifiable factors.
Ability to network with senior internal and external personnel in own area of expertise.
Excellent oral and written communication skills.
Demonstrated ability to work effectively as part of a cross-disciplinary team.
Typically requires and Bachelor's degree and minimum of 8 years of related experience; or an advanced degree with a minimum of 6 years of experience; or an equivalent combination of education and work experience.
significant code contributions in Python
design of systems, interfaces, and data models
design of scalable distributed systems and/or web applications
Demonstrated ability to write clear and accurate requirements, use cases, designs and documentation.
Deep understanding of web APIs such as GraphQL, REST and SOAP.
Ability to resolve complex issues in creative and effective ways.
Ability to network and collaborate with key contacts outside their own area of expertise.
Overall Desired Qualifications:
Experience developing automated deployment systems / network management software.
Experience with the following technologies and languages:
Python, Javascript
Django, Django REST framework
SQLAlchemy, FastAPI
ReactJS, NextJS
Demonstrated technical and or nontechnical leadership experience
Demonstrated experience in any of the following areas:
developing multi-tenant services
participation in multi-institutional collaborations
architecting software solutions
staff supervision and mentoring
product and or project management
Cisco Network Services Orchestrator (NSO)
Postgres, Kafka, Kubernetes
Solid level of Django, SQLAlchemy, or other python framework.
Solid level of understanding of REST and GraphQL based API solutions.
Familiarity and experience with Agile/Scrum software engineering practices that include testing, documentation, source code management (ideally Git and Github) and release procedures.
Knowledge of Internet networking and protocols.
Knowledge of containers and Kubernetes.
Solid understanding of network engineering concepts and protocols.
Solid understanding of security concepts such as zero trust architectures and federated identity.
Notes:
This is a full time, 2 years, 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.
This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
The full salary range of the Software Engineer Level 2 is between $109,152 to $184,200 annually and is expected to pay between a targeted range of $122,784 to $150,096 annually depending upon the candidate's skills, knowledge, and abilities, including education, certifications, and years of experience.
The full salary range of the Software Engineer Level 3 is between $129,948 to $219,276 annually and is expected to pay between a targeted range of $146,184 to $178,668 annually depending upon the candidate's skills, knowledge, and abilities, including education, certifications, and years of experience.
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.
This position is eligible for remote work. Remote workers are defined as individuals that reside in the United States, but 150 miles away from Berkeley Lab. There may be an expectation to intermittently conduct work, attend meetings and training on site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work schedules are dependent on business needs.
Want to learn more about working at Berkeley Lab? Please visit:
careers. lbl. gov
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