Software Engineer developing secure software solutions for Android, Windows, and Linux environments in the Mission Readiness Systems business area. Working within a cross functional team on mobile and web application development.
About the role
- GDS Lead Engineer overseeing technical direction and system architecture for cloud-native solutions. Responsible for software engineering, project management, and AI/ML integration.
Responsibilities
- Own technical direction and system architecture across assigned initiatives including interface design, technology selection, and long-term maintainability.
- Author, review, and approve architecture and design documentation, clearly articulating tradeoffs across performance, cost, scalability, and operational risk.
- Lead technical planning and requirements investigation, translating business objectives into scoped technical work, delivery plans, estimates, and sequencing.
- Support agile delivery practices including sprint planning, prioritization, dependency management, and risk tracking while communicating progress and tradeoffs to stakeholders.
- Design, implement, and review backend services, APIs, and application components using modern, cloud-native development practices.
- Establish and uphold standards for code quality, testing, documentation, observability, and operational reliability through hands-on contribution and review.
- Design and implement batch and streaming data pipelines, analytics workflows, and visualization layers to enable timely, data-driven decision-making.
- Lead the integration of AI- and ML-enabled capabilities into production systems with a focus on reliability, interpretability, cost efficiency, and operational readiness.
- Author System Security Plans and oversee design and implementation to meet organizational, federal, state, and customer security, privacy, and data governance requirements.
Requirements
- Bachelor's Degree in Computer Science, Computer Engineering, or related field or equivalent experience
- At least 5-years of professional experience in software development
- At least 3-years of professional experience in managerial roles
- Full-stack software development using modern Python- and TypeScript-based stacks
- Design and implementation of data architectures, backend APIs, services, and data pipelines
- Technical ownership of architecture decisions, development lifecycles, and long-term system maintainability
- AI and ML engineering with a focus on deployment to production systems
- Batch and real-time data processing, analytics, and data governance
- Cloud-native, containerized systems using declarative infrastructure-as-code
- Strong fundamentals in networking, distributed systems, performance analysis, debugging, security, and data governance
- Ability to evaluate, adopt, and integrate open-source, commercial, and unfamiliar technologies
- Clear technical and business communication, mentorship, and cross-team collaboration
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
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