Software Engineer
Location
Worldwide
Posted
7 days ago
Salary
0
Seniority
Mid Level
Job Description
Software Engineer
Spear AI
Role Description We’re looking for a Software Engineer to develop and maintain full stack software applications and services supporting AI/ML and analytic mission operations, focusing on scalable back-end systems, APIs, and user interfaces for enterprise platforms. Works closely with senior engineers, data engineers, and AI/ML practitioners to deliver mission capability. What You Will Do - Design and implement full stack software components for AI/ML and analytic applications - Develop RESTful APIs and microservices following established architectural patterns - Build user interfaces and dashboards for AI system monitoring, control, and mission workflows - Implement automated testing and continuous integration practices - Collaborate with data scientists, AI engineers, and senior SWEs on system integration - Troubleshoot and resolve software issues in development and production environments - Participate in code reviews and maintain high-quality coding standards - Contribute to software architecture decisions and technical documentation - Contribute to CI/CD pipelines and DevSecOps tooling under the guidance of senior engineers - Support development and operation of MCP server integrations and AI tooling Qualifications - 4+ years of hands-on software development experience - Active TS/SCI clearance with ability to obtain CI Polygraph - Proficiency in at least one modern front-end framework (React, Angular, or Vue) and at least one back-end language (Python, JavaScript/Node.js, Java, Go, or similar) - Experience with web frameworks, relational and/or non-relational databases, and cloud platforms - Working knowledge of API design (REST/GraphQL) and microservice patterns - Knowledge of software engineering best practices and common design patterns - Experience with version control (Git), testing frameworks, and DevOps tools - Demonstrated ability and willingness to rapidly learn novel AI platforms, frameworks, and tool integrations, including those enabling agentic AI capabilities Requirements - TS/SCI CI Poly clearance (Nice to Have) - Strong AWS cloud skills (ECS/EKS, Lambda, S3, IAM, RDS, and CloudWatch) (Nice to Have) - Experience with GitLab and GitLab CI/CD pipelines (Nice to Have) - DevSecOps exposure (secure coding, automated testing, container/dependency scanning) (Nice to Have) - Familiarity with MCP servers or tool-using LLM systems (Nice to Have) - Familiarity with AI/ML concepts and patterns for integrating ML services into applications (Nice to Have) - Military experience strongly preferred (Nice to Have) - Intelligence Community experience strongly preferred (Nice to Have) Benefits - Unlimited PTO — Take the time you need to recharge and maintain work-life balance. - Dedicated sick time — Your health and well-being come first. - Comprehensive health and benefits – Medical, dental, and vision coverage to keep you and your family protected. - 11 Paid Holidays — Enjoy time off throughout the year to celebrate and spend time with loved ones. - Professional development — Educational opportunities and resources to help you grow your skills and advance your career. - Collaborative environment — Work directly with leadership in our flat organizational structure, where your ideas and contributions matter. - Mission-driven work — Contribute to projects that directly support national security and make a real-world impact. - 401(k) with company match. - Onsite / Remote / Flexible work arrangements or hybrid options (position dependent). - Relocation assistance (position dependent). - Referral bonuses. - Performance bonuses. - Life insurance and disability coverage. - Technology home office setup stipend. - Professional certification reimbursement (position dependent).
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