Software Engineer - Mid

About the role

You will own the full lifecycle of software components that power AI/ML driven mission operations from sensor to dashboard. You will translate ambiguous operational requirements into resilient, scalable backend systems and intuitive user interfaces. You will partner daily with senior engineers, data engineers, and AI/ML practitioners to close mission capability gaps. You will champion best practices in automated testing, CI/CD, and secure coding to ensure reliability under pressure. You will troubleshoot complex issues across development and production environments while mentoring peers on standards and patterns. You will contribute to architecture decisions and documentation that shape the long-term vision of our platforms. You will help build and evolve the MCP server integrations and AI tooling that power next-generation operator workflows.

Key facts

What you'll do

• Design and implement full stack software components for AI/ML and analytic applications that handle high-throughput data streams.
• Develop robust RESTful APIs and microservices that follow established architectural patterns and support real-time mission workflows.
• Build responsive user interfaces and dashboards for AI system monitoring, control, and mission workflows using modern frontend frameworks.
• Implement comprehensive automated testing strategies and continuous integration practices to accelerate delivery without sacrificing quality.
• Collaborate closely with data scientists, AI engineers, and senior SWEs to integrate models, pipelines, and services into cohesive solutions.
• Troubleshoot and resolve software issues in development, test, and production environments with minimal disruption to critical missions.
• Participate in code reviews to uphold high-quality coding standards, share knowledge, and reduce risk across the codebase.
• Contribute to software architecture decisions and technical documentation that guide future scalability and maintainability.
• Contribute to CI/CD pipelines and DevSecOps tooling under the guidance of senior engineers to harden deployments and reduce risk.
• Support development and operation of MCP server integrations and AI tooling that enable agentic workflows and rapid experimentation.

Requirements

• You are forward-thinking and take initiative without waiting to be handed a backlog.
• You are flexible and comfortable with ambiguity while eager to push the technical state of the art in defense applications.
• You own the problem from detection to delivery, spotting mission gaps and driving solutions to completion.
• You dive deep to understand how systems actually work, building prototypes and experiments to validate assumptions quickly.
• You live on the bleeding edge, tracking upcoming platform features and eagerly adopting the next nightly releases.
• You are a great teacher who breaks down complex concepts for any audience and makes ideas click for stakeholders.
• You are mission-driven, where operationally relevant is not a buzzword but the bar you expect to clear every day.
• You have 4+ years of hands-on software development experience across multiple languages and stacks.
• You hold an active TS/SCI clearance with the ability to obtain a CI Polygraph when required.
• You demonstrate proficiency in at least one modern front-end framework such as React, Angular, or Vue.
• You demonstrate proficiency in at least one back-end language such as Python, JavaScript/Node.js, Java, Go, or similar.
• You have experience with web frameworks, relational and/or non-relational databases, and cloud platforms.
• You have working knowledge of API design patterns including REST and GraphQL alongside microservice architectures.
• You have knowledge of software engineering best practices, common design patterns, and clean code principles.
• You have experience with version control using Git, testing frameworks, and DevOps tooling.
• You have a demonstrated ability and willingness to rapidly learn novel AI platforms, frameworks, and tool integrations.
• You are comfortable working with agentic AI capabilities and tool-using LLM systems in production contexts.

Nice to have

• TS/SCI CI Poly clearance.
• Strong AWS cloud skills including ECS/EKS, Lambda, S3, IAM, RDS, and CloudWatch.
• Experience with GitLab and GitLab CI/CD pipelines.
• DevSecOps exposure covering secure coding, automated testing, container and dependency scanning.
• Familiarity with MCP servers or tool-using LLM systems.
• Familiarity with AI/ML concepts and practical experience deploying models into production.

Practical notes

Work is remote with collaboration in real time on Slack and asynchronously via GitHub. We are a growing defense contracting company committed to excellence, profitability, and responsible hiring. Our team operates with a flat structure that empowers direct impact, collaboration with leadership, and contribution to projects that matter to national security.