Shield AI
From Shield AI's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
You will build tools and paved paths that make development faster, more consistent, and more reliable.
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, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. 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.
Hivemind is looking for an experienced Senior or Staff Software Engineer to join our Developer Experience Engineering team. The Developer Experience team owns the tools, platforms, and practices that shape how engineers build software for Hivemind. This includes local development environments, devcontainers, our internal developer platform, project templates, and approaches that enable co-development and inner-source collaboration across engineering teams. You will build tools and paved paths that make development faster, more consistent, and more reliable. A near-term focus for this role will be bringing agentic AI capabilities into our developer tools and workflows in ways that deliver meaningful, measurable value to engineers. This is a hands-on engineering role with broad organizational impact. You will partner directly with developers, identify recurring sources of friction, turn ambiguous needs into durable solutions, and drive adoption through documentation, advocacy, and close collaboration. You will care about engineering productivity and use signals such as DORA metrics and developer feedback to guide priorities and measure outcomes. This position may be filled at the Senior or Staff level based on the candidate’s experience, demonstrated technical leadership, and scope of impact.
Design, build, and operate tools and platforms that improve the end-to-end Hivemind developer experience
Advance local development workflows, devcontainers, internal developer platforms, project templates, and other reusable engineering capabilities
Bring agentic AI capabilities into developer tools and workflows, evaluating opportunities and turning promising ideas into reliable, practical solutions
Partner with engineering teams to understand developer needs, identify recurring friction, and create paved paths that improve productivity without limiting appropriate flexibility
Enable co-development and inner-source collaboration through accessible tooling, documentation, standards, and contribution practices
Drive adoption of developer tools by working closely with engineers, gathering feedback, providing guidance, and clearly communicating their value
Own solutions through discovery, design, implementation, testing, deployment, operation, and continuous improvement
Use DORA metrics, developer feedback, adoption data, and other signals to understand outcomes and guide investment
Contribute to technical direction through design reviews, architectural decisions, thoughtful tradeoffs, and collaboration across engineering teams
Demonstrated technical judgment in the design and operation of developer tools, platforms, backend services, APIs, distributed systems, or related production software
Experience owning software from initial design through deployment, operation, adoption, and continuous improvement
Systems thinking and the ability to turn recurring or ambiguous developer needs into coherent, reusable solutions
Strong customer orientation toward internal developers and an interest in understanding and improving how engineering work gets done
Effective collaboration and communication across engineering teams and organizational stakeholders
Ability to advocate for new tools and practices, incorporate feedback, and build adoption through influence
Experience with AWS and cloud-native development practices
Experience building or operating internal developer platforms, developer portals, development environments, or reusable engineering frameworks
Experience applying AI or agentic systems to software development tools and workflows
Proficiency in one or more relevant languages, such as Python, Go, JavaScript, or TypeScript/Node.js
Experience with devcontainers, project scaffolding, service templates, or standardized local development environments
Experience enabling inner-source development or contribution across team boundaries
Familiarity with DORA metrics, developer productivity measurement, and qualitative developer-experience research
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