(This role is US based remote and all candidates must be able to work in the US now and in the future without restriction) What we believeTechnology is no longer just an enabler of business strategy. It is the business strategy. And with AI reshaping how companies operate, compete and grow — while rapidly accelerating the pace of change — the stakes have never been higher.Our roleWe’re focused on helping private equity investors and portfolio company leaders drive value creation through technology. In a world where investors deploy trillions annually into software and tech-enabled businesses, we're the team that makes sure the underlying technology actually delivers.Our approachThe expert judgment of our experienced practitioners is complemented by proven frameworks, tech-enabled solutions, and objective data to help organizations navigate critical technology decisions across diligence, transformation, growth, cybersecurity, AI, and operational execution.What we valueEverything we do is grounded in five core values: Service. Curiosity. Credibility. Commitment. Creativity.If you're energized by solving complex technology challenges and helping others succeed in critical moments, you'll fit right in. Job RoleWe’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.How we workSmall teams, high ownership, minimal handoffsFast, iterative delivery over heavy processPragmatic decision-making over over-engineeringEngineers are expected to operate across the stack, not within silosKey ResponsibilitiesDesign and build full-stack applications from concept to productionOwn the full SDLC: design, development, testing, deployment, and iterationWork within a small pod to deliver quickly with a high degree of autonomyContribute to architecture and make pragmatic technical decisionsUse AI tools to accelerate development, testing, and code qualityIterate rapidly while maintaining a strong bar for reliability and maintainabilityRequirements7+ years of software engineering experienceStrong full-stack capability (frontend, backend, and cloud infrastructure)Comfortable stepping into an architectural role when neededExperience deploying and operating applications in cloud environments (AWS, Azure, or GCP)Solid understanding of the full SDLCDeep experience with (i.e., daily usage of) AI coding harnessesAI-Native DevelopmentHands-on experience using AI-assisted development tools beyond basic code generationAbility 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 practicesPreferred ExperienceInfrastructure as Code (e.g., Terraform)CI/CD and modern DevOps practicesExtensive experience with one or more of the following languages: Python, Typescript, Golang, RustExperience with deploying and maintaining applications in the AWS ecosystemExperience with AI engineering – building agentic workflows into products that balance efficiency and quality (e.g., Pydantic AI, CrewAI, LangGraph, etc.)What success looks likeYou ramp quickly and start contributing within weeksYou ship production-ready features in short cyclesYou make sound architectural decisions without overbuildingYou effectively use AI tools to meaningfully increase speed and output
14 days ago