The mission of the Scientific Data & Computing Center (SDCC) at Brookhaven National Laboratory (BNL) is to provide computational support for BNL scientific programs. BNL is the US extreme scientific scale Data Laboratory. The Scientific Data & Computing Center provides data services for the many scientific user facilities on the BNL site, such as the nuclear physics Relativistic Heavy Ion Collider (RHIC), the brightest synchrotron in the world at National Synchrotron Light Source II (NSLS II), the Center for Functional Nanomaterials, or remote like the Atlas experiment at CERN (Switzerland), the Belle II experiment in Japan, and the Atmospheric Radiation Measurement program.  Due to BNL’s fast-growing data science research programs, the SDCC is a lively organization developing solutions and providing the necessary computing infrastructure to support BNL’s science mission.

The SDCC has an opening for a Senior Technology Engineer / Technology Architect to take a leading role in scientific computing for the RHIC and ATLAS programs. Within a team that manages thousands of compute and storage servers, the selected candidate will contribute to supporting these systems (deployment, monitoring, resource scheduling, etc.) and will lead in defining the facility evolution to support massive data processing and computing needs. This position has a high level of interaction with an international and multicultural scientific community.

Essential Duties and Responsibilities:

• Lead in the research and development of new computing technologies & techniques for the LHC High-Luminosity run period
• Operate high-availability and I/O intensive computing workflows in support of the RHIC experiments and USATLAS
• Deploy and operate data-driven monitoring tools to analyze and optimize data storage interactions and computing activities
• Contribute to the operations of workload (HTCondor and Slurm) management systems

Required Knowledge, Skills, and Abilities:

• Bachelor’s degree in physics, computer science, or a related discipline
• A minimum of 8 years of full-time relevant experience
• Prior experience with Linux system administration and virtualization/container software
• Prior experience with operations of high-throughput computing (HTC) clusters
• Demonstrated experience with Python (or similar) programming language
• Ability to work independently and in a collaborative environment with time-sensitive deadlines

Preferred Knowledge, Skills, and Abilities:

• Ten (10) years of full-time relevant experience
• Prior experience and familiarity with an environment composed of HPC and HTC an asset
• Prior experience deploying and operating secure, Internet-facing services

• Experience with collaborative tools (MatterMost, Slack, Git, ELK, Jira, etc)
• Experience with data analytics and system performance monitoring tools
• Working knowledge of tools and services – prior experience a plus
• Experience with software and services such as:
  • Configuration management and version control (Puppet, Ansible, etc) software.
  • Network access protocols

Environmental, Health & Safety Requirements:

• Ability and willingness to perform moderate physically demanding work occasionally (replacing server components, moving servers within the data center, connecting network cabling among servers, inventory and organizing replacement hardware parts, etc).

OTHER INFORMATION: (add if applicable)

• This is an on-site position eligible for consideration of flexible work arrangement (hybrid telework) at the discretion of the manager/dept chair.

• Occasional travel (foreign and domestic) may be required
• Candidate will be placed at the appropriate level based on breadth and depth of knowledge
  • Brookhaven Laboratory is committed to providing fair, equitable and competitive compensation. This is a multi-level role and the full salary range for this position is $105500 - $193900 / year. You will be placed at the level and salary commensurate with your experience.  Salary offers will be commensurate with the final candidate’s qualification, education and experience and considered with the internal peer group.