Role Description We are looking for a Mid/Senior Java Engineer who will work across several internal services at the same time, shaping backend architecture, contributing to product decisions, and supporting multiple engineering teams. This is not a single-project assignment; you will touch 3-4 microservices in parallel, work closely with Product Owners, and bring a strong technical point of view. The ideal person is hands-on, analytical, comfortable with cloud-native environments, and open to working with AI-supported solutions as part of modern engineering. - Build and maintain backend services and APIs in Java - Work across multiple microservices (3-4) simultaneously - Collaborate closely with Product Owners on technical direction - Contribute to cloud-native architecture on AWS (90%) + Azure (10%) - Deploy and operate services using Kubernetes and Docker (must-have) - Contribute to Python-based services when needed - Work with analytics and data insights to support decisions - Follow SDLC best practices: testing, code reviews, documentation - Collaborate with DevOps on CI/CD, deployments, scaling Qualifications - 5+ years in Java engineering - Strong experience with microservices / distributed systems - Very solid knowledge of AWS services - Strong Kubernetes + Docker skills (must-have) - Ability to contribute to Python codebases - Good understanding of CI/CD, REST APIs, SQL - Comfortable working with AI-driven tools and modern development workflows - Proactive, ownership-driven, adaptable to multi-project environments Benefits - Work on cutting-edge AI systems used globally - Dynamic, multi-disciplinary teams engaged in digital transformation - Remote-first work model - Long-term B2B contract - 20+ days paid time off - Apple gear - Training & development budget Diversity and Inclusion Commitment We are dedicated to creating and sustaining an inclusive, respectful workplace for all - regardless of gender, ethnicity, or background. We actively encourage applicants from all identities and experience levels to apply and bring your authentic self to our fast-paced, supportive team.

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:The Special Projects team at Shield AI is an elite force within the office of the CTO. It consists of a group of very senior (L5-L8) and highly experienced software engineering experts from diverse fields (aerospace, robotics, cloud infrastructure, game development, interactive media design, ...). The charter of this group is to steer technology development towards strategic alignment with the CTO’s vision, through tactical insertion into teams and technologies across the organization. Individuals within this team make direct and at times forward-sprinting contributions to all three pillars of Hivemind, Shield AI’s software ecosystem for developing and deploying resilient intelligent teaming for aircrafts. Hivemind consists of four products: EdgeOS (C++ based high-performance middleware for autonomy development), Pilot (autonomy for the edge built atop EdgeOS; a models-based, modular and open architecture C++ codebase), Forge (Shield AI's AI Factory for the design, development, and testing of Hivemind Edge systems; a service-oriented architecture leveraged through an SDK, CLI, and web portal; a Go, Python, Typescript codebase), Commander (Software and hardware to support rich human-in-the-loop and human-on-the-loop interactions with the Hivemind; a C++-based back-end for interaction with Pilot; and a web-application UI for mission planning, command and control by operators implemented in a Typescript/React codebase). The Special Projects team is chartered to operate effectively within ambiguity. While this team does not own any software products, it tactically and strategically impacts the development of all foundational Hivemind products and leverages those technologies to rapidly deliver low-TRL solutions. This work happens should-to-shoulder with the product teams in some cases, and in a forward-sprinting manner within the Special Projects team in other cases. The result is direct contribution to products in the formercase, and development of reference implementations in the latter. The Special Projects team also functions as a pipeline for product and solution engineering teams across the organization. Individuals who enter the Special Projects team rapidly gain depth and breadth in their understanding of the Hivemind software ecosystem. This positions them well for leading technology development effort across the product and solution organization. What you'll do: - Design and prototype generative AI experience focused on accelerating autonomy development - Work closely with members of the Office of the CTO to crystallize the vision of the Hivemind product and its documentation - Lead the user experience design of Hivemind Generative AI - Work closely with the technical leads of Hivemind Commander (mission planning, command and control, air-ground communications) and Hivemind Design (configurations, test and evaluation, rehearsal, analysis) to enhance the user experience of their products - Conduct user research to understand user personae and their needs - Investigate competing products and their user experiences, synthesize findings to present to engineering and product leadership Required qualifications: - 15+ years experience developing large, production quality software systems.  - Excellent grasp of software development and coding principles with high productivity in a mainstream language (e.g. Typescript, C++, Go, Python, Rust, etc.).  - Strong knowledge of modern software engineering best practices; Experience with Git and code management tools; Good software hygiene regarding code documentation, unit testing, bug tracking.   - 5+ years of experience with React/Node/Typescript/Javascript development. - 5+ years of experience with Web applications development ("Front-End" or "Full-stack"). - Deep understanding full-stack web development (Document-Object Model (DOM), browser APIs, standards, semantics, Websockets, HTTP Streaming and Server-Sent Events (SSE), Client and UI state management; best practises and strategies, as they apply to React-based rendering, Advanced SPA routing, URL-based state persistence,sharing mechanisms, Seamless content loading states and progressive rendering techniques.) - Multi-modal input handling (text, files, images, audio). Experience with client-side LLM Context Management - Fluid intelligence that allows one to operate effectively in sometimes ambiguous conditions, while finding opportunities to drive technical efforts and force multiply. - Experience with Linux, Docker, and CI/CD environments.  - Hands-on experience with a major cloud platform (Azure, GCP, AWS).  - This role requires travel to a Shield AI location 1-3 times per quarter Preferred qualifications: - Experience with geospatial data and WebGL. - Experience with Playwright UI testing - Experience with Electron (or similar).  - Building debugging/inspection UIs for generative AI systems - Experience with user experience design video games - Experience designing for “Low Code” or “No Code” systems - Experience and/or comfort reading C++ and/or Python and/or Typescript #LI-KC3 #LF Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:The Ground Control Station (GCS) and Command & Control (C2) Software team builds the mission planning, command & control, and post-mission debrief systems that enable operators to seamlessly manage complex, multi-domain unmanned missions. We combine deep desktop application development, modern map-centric interfaces, robust backend integrations, and platform-specific control protocols to deliver a world-class operator experience across air, maritime, space, and effects/expendables. In this role, you will focus on building Ground Control Station software, advanced mission planners, post-mission debrief utilities, and general C2 interfaces. You will work across C++, Qt/QML, QGroundControl (QGC), and full-stack technologies to translate autonomous platform capabilities into intuitive, low-latency, and highly reliable control systems. In this role, you will design and develop major GCS features, mentor mid-level engineers, and represent the GCS/C2 team directly to autonomy capability teams, flight operations, and external partners. It's a hands-on role for engineers who enjoy designing user-facing controls and mission-critical systems and want to see their code drive complex real-world operations. What you'll do: - Develop & Field GCS/C2 Software — Design, develop, and optimize high-performance, responsive GCS software and C2 applications, focusing on map-centric mission planning, real-time command & control, video streaming, and telemetry visualization. Customize and extend QGroundControl (QGC) or related Qt/C++ frameworks to support custom vehicle protocols and multi-agent operations. - Technical Leadership — Own technical direction for major GCS features and systems; architect UI/UX layouts, design robust client/server interfaces, and lead technical decision-making within your project area. - Collaboration Across Teams — Act as a primary technical interface with the Autonomy Capabilities team, Perception team, flight operations, and external partners (platform integrators, C2 providers, and vehicle vendors); author and negotiate APIs, ICDs, and interface contracts rather than just consume them. - Mentorship & Growth — Mentor mid-level engineers on the team; partner with managers on onboarding, leveling, and growth planning. Formally onboard senior new hires. - Design, UX, & Documentation — Drive design reviews, UI/UX prototyping, and ICD definition; champion rigorous coding standards, unit/integration testing, and developer/operator documentation to close process gaps that span teams. - Pre-deployment Preparation — Own the build, configuration, and validation process for mission-ready ground stations; coordinate hardware/software compatibility, UI/UX readiness, and release cadence with capability and feature teams. - On-site Test & Mission Support — Travel to test sites and support live mission operations (flight tests, range exercises, on-water trials, integration events), working closely with operators and pilots to gather feedback, debug live C2 systems, and troubleshoot interfaces under time-critical field constraints. - Hardware/Software Debugging — Diagnose and resolve integration issues across complex GCS/C2 stacks, radio links, payload controls, and telemetry streams — including UI responsiveness bottlenecks, memory leaks, and network latency profiling under operationally-representative loads. - Mission Data & Debrief Support — Architect and implement post-mission debrief utilities and telemetry analysis tools that parse, play back, and visualize telemetry, logs, and payload data for rapid post-mission analysis and issue reproduction. - Continuous Improvement — Build tools and automation scripts to improve C2 deployment pipelines, test/mission reliability, and simulation-based operator testing. - C2 Interoperability & Standards — Own compliance and integration with command-and-control standards and architectures (e.g., A-GRA, UCI, OMS, STANAG 4586, MAVLink). - Hiring — Interview candidates, help define the skills bar for open roles in your area, and onboard new engineers into your sub-program. - Travel Requirement — Members of this team typically travel around 10-20% of the year (to support field integration, customer demonstrations, or test events). Required qualifications: - BS/MS in Computer Science, Software Engineering, Computer Engineering, or equivalent practical experience. - Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience. - Strong proficiency in C++, with experience developing complex, multi-threaded, or latency-sensitive desktop applications. - Experience building responsive user interfaces using Qt/QML (or similar modern UI frameworks). - Hands-on experience customizing, extending, or building with QGroundControl (QGC) or similar open-source/proprietary ground station software. - Experience full-stack or building backend in C/C++, Python, TypeScript, or Go, including service orchestration, command/status interfaces, and data pipelines between UI, ground services, and vehicle-side components. - Deep familiarity with networked and distributed systems, including UDP/TCP transport, custom binary protocols, reliable messaging, pub-sub/IPC middleware, and serialization/IDL tooling. - Experience using AI-assisted development tools to accelerate software design, implementation, debugging, testing, and code review while maintaining strong engineering judgment, validation discipline, and ownership of final technical decisions. - Demonstrated experience owning a major software capability or system from architecture through field delivery. - Track record of mentoring engineers and growing technical talent. - Experience authoring or negotiating interface contracts, schemas, or ICDs with internal or external stakeholders. - Strong debugging and profiling skills, including diagnosing memory leaks, UI responsiveness bottlenecks, and network latency issues. - Ability to obtain a SECRET clearance. Preferred qualifications: - Experience with Geographic Information Systems (GIS), map rendering engines (e.g., Mapbox, Cesium, Esri, QGC Map Engine), and 2D/3D spatial data visualization. - Familiarity with video streaming protocols and multimedia frameworks (e.g., RTSP, WebRTC, GStreamer, H.264/H.265 video codecs). - Experience developing post-mission telemetry analysis, log parsing, or interactive playback/debrief systems. - Familiarity with containerization (e.g., Docker, Kubernetes) and deploying C2 services to local, edge, or cloud environments. - Experience with platform control / autopilot protocols (e.g., MAVLink, STANAG 4586) or DoD C2 standards (e.g., A-GRA, UCI, OMS). - Experience working closely with flight operators, pilots, or military stakeholders to gather feedback and refine user workflows. - Active Secret or Top Secret clearance. #LI-ED1 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

• Design, develop, and extend applications using IBM Sterling Order Management (Go / MSG) • Build Java / Java EE–based extensions for Sterling OMS • Develop and integrate microservices using REST APIs • Implement and manage OMS integrations with enterprise systems • Work on configurations, customizations, and framework-level development within Sterling OMS • Provide technical leadership for OMS development initiatives • Participate in build, deployment, and CI/CD activities related to OMS development