We’re building small, highly capable engineering pods (2–3 engineers) that own problems end-to-end and move quickly from idea to production. This role is for engineers who are comfortable operating across the full stack and using modern AI-enabled workflows to accelerate delivery.

This role is part of our Core Products team, which builds and maintains the tools Crosslake practitioners use to manage assessments and deliver results to clients.

You’ll be expected to design, build, and ship software with minimal handoffs—working across frontend, backend, and infrastructure as needed.

• Small teams, high ownership, minimal handoffs
• Fast, iterative delivery over heavy process
• Pragmatic decision-making over over-engineering
• Engineers are expected to operate across the stack, not within silos

• Design and build full-stack applications from concept to production
• Own the full SDLC: design, development, testing, deployment, and iteration
• Work within a small pod to deliver quickly with a high degree of autonomy
• Contribute to architecture and make pragmatic technical decisions
• Use AI tools to accelerate development, testing, and code quality
• Iterate rapidly while maintaining a strong bar for reliability and maintainability

• 7+ years of software engineering experience
• Strong full-stack capability (frontend, backend, and cloud infrastructure)
• Comfortable stepping into an architectural role when needed
• Experience deploying and operating applications in cloud environments (AWS, Azure, or GCP)
• Solid understanding of the full SDLC
• Deep experience with (i.e., daily usage of) AI coding harnesses

• Hands-on experience using AI-assisted development tools beyond basic code generation
• Ability to leverage AI across the workflow (e.g., prototyping, debugging, test generation, QA, code review, security analysis)
• Familiarity with modern AI-enabled development environments and practices