Ground Systems Software Engineering SETA (Agile/Cloud)

Space Systems Integration (SSI) is a fast-growing engineering company that provides aerospace solutions to a variety of government and commercial customers. Our employees are forward-thinking, self-directed individuals who are committed to solving our customers’ technical challenges.

SSI is seeking a Ground Systems Software Engineering SETA (Agile/Cloud) to oversee the development, integration, and delivery of ground system software, leveraging hands-on engineering experience to assess architectures, practices, and performance. The role emphasizes Agile execution, cloud and DevSecOps maturity, and alignment of space-based mission capabilities to effective ground processing solutions.

Specific Duties Include:

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Provide technical advisory support on ground system software development, integration, and delivery performance

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Apply hands-on software engineering experience to evaluate architectures, code quality, and development practices

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Monitor Agile software delivery (e.g., sprint execution, backlog health, release progress) and identify risks or inefficiencies

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Distinguish between effective and ineffective engineering practices and communicate actionable recommendations to stakeholders

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Translate space-based collection capabilities into ground processing and data exploitation requirements

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Collaborate with Customer stakeholders to refine requirements and ensure alignment with user needs and operational goals

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Contribute to Agile Release Train (ART) activities, including coordination across teams and awareness of dependencies and delivery risks

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Evaluate cloud-based architectures and ensure alignment with modern best practices (Amazon Web Services - AWS/Azure/Google Cloud Platform - GCP)

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Assist in developing Concepts of Operations (CONOPs) and Interface Control Document (ICDs) that translate mission objectives into actionable system behaviors, interfaces, and data flows across space and ground segments

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Assess DevSecOps pipelines, Continuous Integration/Continuous Delivery (CI/CD) implementation, and automated testing maturity across programs

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Evaluate contractor proposals and performance through Basis-of-Estimate (BOE) and Engineer Change Proposal (ECP) reviews, and provide independent recommendations to the Contracting Office Technical Representative (COTR) regarding developer effectiveness and delivery risk

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Familiarity with Artificial IntelligenceI/Machine Learning (AI/ML) techniques and their application to space-derived data processing, exploitation, or decision support is a plus