Software Engineer (Scientific Networking)
Berkeley Lab’s Scientific Networking Division has an opening for a Software Engineer.
ESnet provides the high-bandwidth, reliable connections that link scientists at national laboratories, universities and other research institutions, enabling them to collaborate on some of the world's most important scientific challenges. Funded by the DOE Office of Science, and managed and operated by the ESnet team at Lawrence Berkeley National Laboratory, ESnet provides scientists with access to unique DOE research facilities and computing resources. ESnet provides direct connections to all major DOE sites and CERN, at high bandwidth, peering connections with Internet2, Regional Optical Networks (RON), and others, including high-speed connections to international networks as well as private and shared peering to more than 150 networks.
The Software Engineer will work in a collaborative, results-driven development environment on a wide array of software projects and strategic initiatives that support the current network as well as contributing to the implementation of a federated software environment that will support future network infrastructures. As a member of the ESnet’s Software Group, consult and collaborate with ESnet users, peer ESnet organizations, and peer Research and Education (R&E) and Regional Optical Networks (RON) software architecture, engineering and operations teams. The software engineer will perform software development, implementation, testing and operational support for the production quality software underlying the current and next generation ESnet network.
There are multiple openings for this position.
Classification will depend upon the applicant's level of skills, knowledge, and abilities.
What You Will Do:
Participates as a member of an interdisciplinary team in designing, implementing, testing, and maintaining production quality software underlying the current and next generation ESnet network, including:
Visualization (https://my.es.net).
Measurement and analysis using the Google Cloud Platform.
Automation to programmatically control the network at a high level of abstraction.
Network inventory, configuration, and services database.
Participate on project teams to successfully develop and complete project scopes, on time and within project budgets.
Using understanding of current development technologies and programming, independently writes software from user stories, specifications and designs.
Recommend and lead implementation and deployment efforts for small projects and/or software improvements that enhance reliability, stability, usability, performance and security.
Troubleshoot and solve problems of diverse scope where analysis of data requires evaluation of identifiable factors.
What is Required:
Bachelor’s Degree or equivalent experience, and a minimum of five years of software engineering experience.
Demonstrated experience designing, developing, and testing production ready software using one of more of the following: Python, Javascript, or Java.
Experience working with cloud technologies.
Familiarity with the Unix/Linux development environment.
Understanding of common data structures and algorithms.
Familiarity with web APIs such as SOAP and REST.
Strong analysis and troubleshooting skills.
Excellent written and verbal communication skills. Demonstrated ability to write clear and accurate documentation.
Ability to quickly learn new software.
Additional Desired Qualifications:
Demonstrated experience with automation tools and frameworks.
Experience with network measurement protocols such as SNMP and Netflow.
Experience with time series data collection and analysis; and statistics and statistical modelling.
Experience with one or more of Scala, Typescript, Google Cloud Platform (especially Google Dataflow/Apache Beam), React.js, d3.js, node.js, PostgreSQL, Django, Redis, Go, Rust, C/C++.
Experience with one or more database technologies.
Experience working with Google Cloud Services or Amazon Web Services.
Familiarity and experience with Agile software engineering practices that include testing, documentation, source code management (ideally Git and Github) and release procedures.
Knowledge of Internet networking and protocols.
The posting shall remain open until the position is filled, however for full consideration, please apply by close of business on May 31, 2019.
Notes:
Appointment Type:
Career Appointment - This is a Full Time Career appointment.
There are multiple openings for this position.
Classification will depend upon the applicant's level of skills, knowledge, and abilities.
Work Schedule:
Full-time, M-F, exempt (monthly paid) from overtime pay.
Salary is commensurate with experience.
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 will be primarily performed at:
Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
Berkeley Lab (LBNL) addresses the world’s most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab’s scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy’s Office of Science.
Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here to view the poster and supplement: "Equal Employment Opportunity is the Law."