Lead Software Engineer (Prime)

Technical Lead Make an Impact Where It Matters Most Join a team building a platform-agnostic API that helps secure, store, and retrieve data across commercial database technologies.

This mission-critical capability wraps COTS software in a way that makes it secure, scalable, compliant, and easier to integrate across multiple systems.

Built around SaaS principles, the platform is designed for reuse, growth, and real enterprise impact.

This is a strong fit for someone who likes solving hard problems, leading technical work, and staying close to both the build and the mission.

What Makes This Opportunity Stand Out This role gives you real visibility, real ownership, and real range.

You will lead technical work across engineering delivery, production support, and platform improvement, with the chance to shape how the system performs day to day and over time.

One day might center on microservices or NiFi dataflows.

Another might focus on troubleshooting production issues, scaling throughput, or improving performance and observability.

The work sits at the intersection of engineering, operations, and mission support, which keeps it technical, varied, and closely tied to outcomes that matter.

At Intelliforce, your work is visible and leadership stays close to the action.

Because we support prime programs, our teams are connected to high-priority mission work with real momentum.

Because we are a small business, your voice carries, your contributions get noticed, and decisions move faster.

Add in strong benefits, long-term contract stability, a people-first culture, and a fast interview process, and this becomes more than another opening.

It is a real career move tied to meaningful outcomes.

Here’s What Your Day-to-Day Might Include

• Lead a team of software and DevOps engineers delivering secure, reliable, mission-focused solutions.
• Design, build, and enhance Java and Spring-based microservices in a modern containerized environment.
• Develop and maintain Apache NiFi workflows, including custom processors, to support data ingestion and processing at scale.
• Work with DevOps teams to improve throughput, expand cluster capacity, and keep pace with growing data volume and velocity.
• Support production systems through Tier 2 and Tier 3 troubleshooting, root cause analysis, and issue resolution.
• Use Linux command line tools to investigate issues, manage services, and support daily engineering operations.