Principal Software Engineer – Team Lead (.NET, Entity Framework, Angular

We are looking for a Principal Software Engineer, Team Lead to help lead engineering for Unanet's Contraqer product portfolio, spanning Gov Intel and Gov Channel. Gov Intel is Unanet's market intelligence and opportunity management platform for government contractors, while Gov Channel is the quote-to-cash and procurement automation side of the portfolio focused on sourcing, quoting, fulfillment, support, and analytics workflows.

In this role, you will lead a team building and evolving product capabilities that help customers discover and prioritize opportunities, shape teaming strategies, manage quotes and orders, and improve execution across the full pursuit-to-fulfillment lifecycle. You will partner closely with Product Management, Architecture, QA, Cloud Ops, and other Engineering leads to deliver reliable, scalable, secure software while creating clarity and momentum for our team.

This role is ideal for an engineer who combines strong technical depth with team leadership, enjoys working across complex product domains, and actively leverages AI-assisted development tools to improve speed, quality, and consistency across the software development lifecycle.

• Lead, mentor, and motivate engineers to achieve individual and team goals while fostering a collaborative, high-accountability environment
• Own technical direction and day-to-day engineering execution for Gov Intel and Gov Channel work streams
• Design, build, and operate high-impact features across modules such as opportunity ingest, teaming, FPDS/award search, sourcing, quoting, fulfillment, maintenance/support, and reporting/analytics
• Work closely with product and business stakeholders to translate customer and market needs into clear technical designs, delivery plans, and backlog priorities
• Partner across functions to ensure the platform supports the workflows of business development, sales, sales management, fulfillment, procurement, finance, and executive users
• Establish and uphold engineering best practices across code quality, testing, CI/CD, observability, performance, reliability, and scalability
• Drive architecture and implementation decisions for APIs, integrations, and services that connect product capabilities and surrounding systems
• Lead code reviews, design reviews, incident response, root-cause analysis, and continuous improvement efforts for the team's services and workflows
• Use AI-assisted engineering tools thoughtfully to accelerate development, documentation, refactoring, and testing while maintaining strong human review and engineering judgment
• Coach engineers in technical growth, ownership, and execution discipline, and help scale strong engineering practices across the broader organization

In your First 30 Days, you'll build a strong understanding of the Gov Intel and Gov Channel product domains, including core modules, customer workflows, and user personas. You'll learn the current architecture, data flows, delivery process, and operational posture for the team's services. You'll establish working relationships with Product, Engineering, QA, and operational stakeholders while beginning to identify quick wins for product quality, team effectiveness, and delivery predictability.

In your First 60 Days, you'll take ownership of one or more major product or platform areas and drive delivery of meaningful improvements from design through production. You'll refine backlog and technical priorities with product and engineering leadership, with attention to reliability, scalability, and customer impact. You'll strengthen team practices around observability, delivery quality, and engineering consistency.

In your First 90 Days, you'll serve as the Tech Lead for your team, becoming the go-to partner for engineering decisions, design reviews, and complex troubleshooting. Lead an end-to-end initiative that materially improves customer-facing workflows or platform capabilities across Gov Intel and/or Gov Channel. Define and socialize a forward-looking technical evolution plan for the team's area, including milestones, trade-offs, and opportunities to improve engineering leverage with AI-assisted workflows.