Spear AI

Role Description We’re looking for a Senior Software Engineer to lead software development initiatives for enterprise AI platforms, provide technical leadership and architectural guidance while delivering high-quality, scalable software solutions. - Lead design and implementation of complex full stack systems, services, and applications supporting the customer's AI/ML and analytic mission - Architect end-to-end solutions across front-end UIs, back-end services, APIs, and data layers - Develop and maintain RESTful APIs, microservices, and event-driven architectures - Build and improve user interfaces and operator-facing dashboards used in mission workflows - Provide technical mentorship and guidance to mid- and junior-level developers - Establish coding standards, best practices, and development processes across the team - Drive technical decision-making, technology selection, and architectural direction - Collaborate with cross-functional teams (data engineers, AI/ML engineers, mission analysts) on system integration and optimization - Lead code reviews and ensure software quality, security, and performance standards - Develop and maintain technical documentation, system specifications, and ADRs - Identify and implement performance optimizations and scalability improvements - Own and improve CI/CD pipelines, build automation, and DevSecOps practices across the development lifecycle - Design, develop, and operate Model Context Protocol (MCP) servers and tool integrations enabling agentic AI capabilities for mission users Qualifications - 8+ years of hands-on software development experience building production systems - Active TS/SCI clearance with ability to obtain CI Polygraph - Expertise in multiple programming languages and technology stacks: a modern JS framework (React, Angular, or Vue) plus at least one back-end language/framework (Python/FastAPI/Django, Node.js, Java/Spring, or Go) - Strong understanding of software architecture patterns, system design, and API design (REST and/or GraphQL) - Experience with relational and non-relational databases (PostgreSQL, MySQL, MongoDB, Redis, etc.) - Experience with cloud-native development and containerization (Docker, Kubernetes) - Proven track record of leading technical teams and mentoring developers - Deep knowledge of secure coding practices, authentication/authorization (OAuth, SAML, OIDC), and performance optimization - 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) - Strong DevSecOps background (secure SDLC, SAST/DAST, container scanning, secrets management, and policy-as-code) (Nice to Have) - Experience designing, building, or integrating with MCP servers and tool-using LLM systems (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).

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).

Role Description We are looking for Mission Engineers (MEs) to be the tip of the Spear leading customer engagements and understanding the pain points and issues within current technology. You will design end-to-end solutions to solve some of the hardest problems within the national security enterprise. What You'll Do: - Act as the connective tissue between operators, analysts, and technical teams to translate mission needs into technical solutions. - Identify, articulate, and shape operational use cases that can be enhanced or enabled by AI/ML capabilities. - Interface with client leadership, developers, and external stakeholders to align product development with mission-critical needs. - Drive feedback loops between end users and engineers to ensure delivered solutions are impactful and relevant. - Support field testing, performance evaluations, and operationalization of new tools in a fast-paced, iterative environment. - Leverage Spear AI's core product offering, open source technologies, and whatever you can build to succeed. Qualifications - You’re fanatical about polish. Every detail matters. - You care about correctness. You take pride in the fact that downstream consumers trust libraries and services you build. - You obsess over performance. You daydream about Lighthouse scores and query speed. - You dive deep. It’s important for you to really know how things work. - You live on the bleeding edge. You’ve got a long list of upcoming platform features you’re excited about. - You’re a great teacher. You know how to break down a concept for a specific audience. Requirements - Active TS/SCI clearance. - Strong software engineering background. - Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools. - Understanding of how technical decisions impact the user of what you're building. - Demonstrated ability to work in classified environments and liaise across operational and technical stakeholders. - Strong written and verbal communication skills, especially in conveying technical ideas to non-technical audiences. - Willingness and interest to travel as needed. Nice To Have - Degree in Computer Science or related degree. - Familiarity with AI/ML systems and their operational applications. - Military background or previous IC/DoD experience. 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).

• Design product pages and data-rich applications. • Develop design systems. • Document and maintain component libraries. • Build front-end components and pages. • Document and share designs with other developers. • Participate in frequent design audits and pull request reviews.

• Build out application components and pages. • Implement historical and real-time data feeds using WebGPU. • Design and develop data models using Postgres and Apache Iceberg. • Modify real-time data pipelines using MQTT and Redpanda. • Modify offline data pipelines using Dagster for batch processing. • Modify and integrate machine learning models or other algorithms into the application. • Improve local development and CI/CD using modern tooling and GitHub Actions.

• Build out application components and pages. • Implement historical and real-time data feeds using WebGPU. • Design and develop data models using Postgres and Apache Iceberg. • Modify real-time data pipelines using MQTT and Redpanda. • Modify offline data pipelines using Dagster for batch processing. • Modify and integrate machine learning models or other algorithms into the application. • Improve local development and CI/CD using modern tooling and GitHub Actions.

• Administer Google Workspace, manage Identity Provider (IdP), and set up SSO. • Manage device enrollment and device scripting in Iru/Kandji. • Author, maintain, and audit internal security policies and procedures. • Enforce CMMC 2.0 Level 2 and NIST security frameworks with Vanta. • Safeguard credentials and secrets across the team using 1Password. • Harden AWS account security, IAM policies, and role-based access controls. • Secure network access using Tailscale VPN. • Develop Infrastructure as Code using Pulumi alongside the infrastructure team. • Investigate security incidents and conduct routine vulnerability assessments.

• Implement real-time data pipelines with MQTT and Redpanda for stream processing. • Implement offline data pipelines using Dagster for batch processing. • Parse and process binary message formats from various data sources. • Build data warehouses using Postgres, Apache Iceberg, Parquet, and S3. • Design data models that allow for high-performance queries. • Validate and normalize data sources. • Improve local development and CI/CD using modern tooling and GitHub Actions.

• Develop, test, train, and evaluate machine learning models or other algorithms. • Set up distributed training clusters in the cloud. • Track experiments and monitor models in production. • Construct pipelines that transform and synthesize data. • Integrate machine learning models or other algorithms into the application. • Improve local development and CI/CD using modern tooling and GitHub Actions.

• Develop, test, train, and evaluate machine learning models or other algorithms. • Set up distributed training clusters in the cloud. • Track experiments and monitor models in production. • Construct pipelines that transform and synthesize data. • Integrate machine learning models or other algorithms into the application. • Improve local development and CI/CD using modern tooling and GitHub Actions.