Scientific Software Engineer

Scientific Software Engineer The Opportunity:   As a back-end develop er, you know that a good site or system needs the right combination of clean code, APIs, analytics, and infrastructure to develop a user-focused solution. We’re looking for an experience d back-end develop er with the sof tware engineering skills it takes to identify potential risks, contribute to solution develop ment, and create efficient and effective systems for our clients.  As a back-end develop er at Booz Allen, you’ll use the latest architectural approaches and open-source frameworks and tools to deliver solutions. Using your sof tware engineering experience , you’ll work with the develop ment team to create custom tools, systems, and sites with consistent performance and scalability. In this role, you'll lead code management, maintain proper CI / CD pipeline, develop and maintain regression test protocols, conduct frequent version releases, coordinate with code managers of the component model repositories as well as the application repositories to ensure that the end to end system works seamlessly with new upgrades, ensure that the modeling infrastructure is regularly tested on all supported platforms, support develop ment teams with debugging issues and ensure that best practices for sof tware develop ment are always followed. You’ll make a mission-forward impact as you further your skillset and career. Work with us as we shape systems for the better. Join us. The world can’t wait. You Have:  Experience implementing, maintaining, and supporting Agile sof tware develop ment to modernize large‑scale scientific or computational systems, including weather and climate modeling platforms used in operational forecasting and research environments Experience develop ing and integrating sof tware using core programming languages and HPC technologies, including Fortran, C++, Python, MPI, OpenMP, or containerized workflows Experience with Agile met hodology, sof tware engineering, scientific DevOps, product management, and complex modeling system workflows Experience develop ing and maintaining backend system components that power scientific and enterprise applications, including designing data handling workflows, optimizing model performance, conducting benchmarking, and supporting distributed computation across HPC and cloud platforms Experience creating solutions to complex technical problems within collaborative, cross‑functional scientific or engineering teams Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements Bachelor’s degree or 12+ years of experience in sof tware engineering in lieu of a degree   Nice If You Have:    Experience with Python, C++, Fortran, scientific backend develop ment, containerization such as Docker or Singularity, CI / CD pipelines, cloud HPC platforms such as AWS, GCP, or Azure, API integrations, or cross‑platform system build frameworks Experience writing or enhancing source code for scientific applications, numerical models, or large‑scale computational tools Experience gathering technical requirements, analyzing system-level workflows, and implementing automation or optimization to improve performance or efficiency Ability to work with automated testing frameworks and performance‑profiling tools to validate model stability, integration, and scalability Master’s degree Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client .

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