Key Responsibilities:Implement and verify processing system and Astronomy software packages.Contribute to systems engineering and Operations documentation refinementSupport users, and operators, as well as the implementation of releases, system changes and fixes.Be an integral member of the Computing and Software team, as a senior technical specialist that supports the establishment of data processing operations.Participate in project management and activity management activities.Attend relevant training/courses to gain experience and improved knowledge.Research new technologies, methods, or approaches, with the purpose of utilizing them within the organization.Participate in innovation and technology development initiatives.Mentor and educate more junior engineers as and when required.Key Requirements:Qualification:Degree/ Masters/ PHD in Computer Science, Computer Engineering, Astronomy or Astronomy techniques, Physics, or related fieldsExperience:Degree coupled 9 years relevant working experience, or Master's Degree coupled with 7 years relevant working experience or PHD coupled with 5 years relevant working experience in software engineering, high-performance algorithms developmentExperience with distributed data-intensive processing and algorithm development, ideally both from a design and application perspective.Expertise in hybrid software development in Python and C/C++ programming languages.Knowledge:Experience with profiling and optimisation techniques, especially how to build high-performance pipelines overlapping I/O and processing.Experience with physical data modelling, both for efficient in-memory & network data exchange as well as storage (e.g. Apache Arrow, HDF5 or equivalent)Understanding of data processing algorithms, such as Fourier transformations, gridding and (de)convolution methods. Knowledge of radio astronomy data processing pipelines and their scaling properties would be advantageous.Common radio astronomy instrumentation: spectrometers, correlators, beamformers and pulsar timing machines and transient search machines.Systems Engineering processes.Additional Notes:SKILLS/ COMPETENCIES/ KNOWLEDGE:Essential:Design, implementation and verification of high-speed digital computer and electronics hardware and systems.System Engineering life cycle processes, including documentation, requirement analysis, architecture design, implementation, integration, and acquisition.Parallel implementations of Data Processing components, pipelines, and astronomy algorithmsComprehension of MPI, DASK and other High Performance Computing frameworks and interfacesLinux operating system and standard tools.Desirable:Common radio astronomy instrumentation: spectrometers, correlators, beamformers and pulsar timing machines and transient search machinesKnowledge of Radio Astronomy techniques, and observatory practicesAbility to communicate effectively to a wide audience and a wide range of stakeholders, gathering information and distilling information and tailoring it appropriately for the target audience.Ability to develop and convey a technical solution as part of a team.Ability to reliably estimate and plan work as part of a team.Agile approaches to systems developmentEngineering systems architecture conceptsAn understanding of DevOps processesServices, Operations and Support managementRisk management.Skills:Modern software collaboration tools such as GitHub, Containers, Google Drive, JIRA etc.Understanding and experience in implementation of project management and system engineering principles.Experience with test-driven development and integration testing techniques, methodologies, and frameworks; and supporting systems like revision control and build systems.Experience with quality assurance processes and software development processes and willingness to participate in improving software development processes and software quality procedures.Teamwork and Collaboration: Cooperates with others to achieve organisational objectives and may share team resources in order to do this. Collaborates with other teams as well as industry colleagues.Judgement and Problem Solving: Anticipates and manages problems in ambiguous situations. Develops and selects an appropriate course of action and provides for contingencies. Evaluates, interprets and integrates complex bodies of information and draws logical conclusions, synthesises proposals and defends options with reasoned arguments.Adaptability: Demonstrates flexibility in thinking and adapts to and manages the increasing rate of organisational change by adjusting strategies, goals and priorities.Willingness to participate in formal and informal learning and mentorship programs.