Software Architect, Lead

Software Architect, Lead The Opportunity: This capability is transforming how mission stakeholders make sense of complex, multi‑INT environments. Built around a team of AI agents that fuse, detect, and forecast activity across divers e data streams, it gives operators and analysts a shared, explainable picture with every conclusion t race able to its source. As a Sof tware Architect, you’ll shape the technical direction of this mission‑driven system, designing and evolving architectures that support scalable agent orchestration, physics‑informed analytics, and high‑assurance integration across distributed components. You’ll work closely with engineering teams and mission partners to translate emerging needs into system designs that accelerate insight, strengthen analytic confidence, and advance the capability’s ability to anticipate what matters next. Join us. The world can’t wait.  You Have:    8+ years of experience designing, developing, or integrating sof tware systems, including leading architecture efforts for distributed or mission‑focused platforms Experience creating or maintaining architecture products, interface specifications, or system design documentation for complex sof tware ecosystems Experience with modern sof tware development using languages such as Java, C++, or Python, and applying secure coding and integration practices Experience with real‑time or event‑driven data processing, streaming, or multi‑source data integration patterns Experience guiding engineering teams through design decisions, code reviews, and implementation within Agile development environments Experience evaluating technical tradeoffs and translating mission or stakeholder needs into actionable system requirements and architecture direction TS/SCI clearance Bachelor’s degree in CS or IT, or 10+ years of experience with sof tware engineering in lieu of a degree Nice If You Have:    Experience designing agent‑based or distributed decision systems, orchestration patterns, or autonomous component coordination Experience with physics‑informed analytics, signal processing, or multi‑INT data fusion approaches Experience with streaming frameworks, real‑time pipelines, or event‑driven architectures such as Pulsar, Kafka, or similar Experience with secure cloud environments, containerized workloads, or infrastructure automation tools such as Kubernetes and Terraform Experience building or integrating model‑driven or AI‑assisted capabilities into mission systems Experience mentoring engineering teams or shaping technical direction across multi‑disciplinary groups Possession of strong analytical and problem‑solving skills, for complex, multi‑source data ecosystems Master’s degree in CS, Engineering, or a related field Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance is required.

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