Hybrid GDS Lead Engineer

at Versar Global Solutions

• Job title: GDS Lead Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: $140,000 - $155,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Distributed Systems, Python, TypeScript
• Location requirements: Hybrid, Newport News, United States

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