ENVIRONMENT: A radio astronomy company is seeking a Mid Pipeline Engineer to work as part of the Computing and Software Telescope Operations team. The role involves analyzing, developing, operating, and maintaining the telescope astronomy pipelines and other data analysis products such as the QA matrix. The engineer will collaborate with Senior Pipelines Developers and Platform Developers to identify, research, and analyze problem sets, investigate potential solutions, and implement, test, and verify these solutions. A Degree, Master's, or PhD in astronomy, astrophysics, cosmology, or related applied/interdisciplinary sciences is required.
Key Responsibilities: Design, develop, and improve data processing telescope software and data products. Document and test pipeline and data processing software. Support deployment of releases by engaging with interfacing teams to perform post-deployment testing. Respond to system incidents and provide support for telescope data processing pipelines and software. Participate in Computing and Software Operations planning and continuous improvement. Be an integral member of the Computing and Software Operations Teams, providing regular operations support for the telescope's data processing capability. Establish, maintain, and engage in good working relationships with all stakeholders. Maintain external links with professional and/or specialist bodies, communities, or groups. Participate in telescope-wide integration activities and events, representing data processing interests and issues. Represent the organization and department at international meetings with partner and peer organizations. Adhere to organizational values, Code of Conduct, Health, Safety and Environment procedures and policies, diversity initiatives, and safety goals. Key Requirements: Qualification: A Degree, Master's, or PhD in astronomy, astrophysics, cosmology, or related applied/interdisciplinary sciences. Experience: A Degree coupled with 4 years of relevant working experience; or A Master's Degree coupled with 3 years of relevant working experience; or A PhD coupled with 1 year of relevant working experience in astronomy, astrophysics, cosmology, or related applied/interdisciplinary sciences encompassing development, testing, deployment, commissioning, release, and support of scientific software or data analytics projects, and developing scientific software using Python and Python libraries or similar languages. Knowledge: Radio astronomy data analysis, calibration, and imaging techniques and tools. Radio astronomy instrumentation and observatory practices. Performing data-driven astronomy research. Software development, preferably scientific programming using Python and Python libraries. Large science data curation, manipulation, transfer, management, and archival. Understanding of system architecture concepts. Understanding of scaled agile methodologies and DevOps processes. Knowledge of Systems Engineering and systems delivery practices. Related Skills: Teamwork and Collaboration: Cooperates with others to achieve organizational objectives and collaborates with other teams and industry colleagues, sharing skills and knowledge with team members as required. Judgement and Problem Solving: Anticipates and manages problems in ambiguous situations, develops and selects appropriate courses of action, provides for contingencies, and evaluates, interprets, and integrates complex bodies of information to draw logical conclusions and synthesize proposals. Adaptability: Demonstrates flexibility in thinking and adapts to and manages the increasing rate of organizational change by adjusting strategies, goals, and priorities. Experience: Working in interdisciplinary environments and matrix teams during project phases such as integration, deployment, testing, verification, and telescope operations. Essential Competencies: Quantitative research skills in a relevant or translatable area. Radio Interferometer telescopes scheduling, observation, and calibration techniques. Radio astronomy data cleansing, calibration techniques, and tools. Scientific software and pipelines development using Python and Python libraries (e.g., NumPy, SciPy, Matplotlib). IT and Information systems analysis, design, implementation, integration, delivery, and operations. Agile approaches to systems development. IT systems architecture concepts. Understanding of DevOps processes (CI/CD). Data curation, transfer, management, archival, and governance. IT Services, Operations, and Support. ATTRIBUTES: Passion for Excellence World-class service People-centered Respect Integrity and Ethics
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