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 Tooling team, focused on rapidly building lightweight internal tools that improve how Crosslake teams work. These tools are typically narrow in scope and designed to be created, tested, and deployed quickly. The emphasis is on speed, usefulness, and iteration over long-term productization.You’ll be expected to design, build, and ship software with minimal handoffs—working across frontend, backend, and infrastructure as needed. This role prioritizes speed and iteration, with a focus on delivering immediate value.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 silosMany tools are short-lived or heavily iterated—impact matters more than longevityKey Responsibilities7+ 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 toolsRequirementsDesign and build small, high-impact full-stack tools from concept to deploymentOwn the full SDLC: design, development, testing, deployment, and iterationWork within a small pod to deliver quickly with a high degree of autonomyRapidly prototype and validate solutions with internal stakeholdersIntegrate with third-party tools, APIs, and internal systemsMake pragmatic technical decisions appropriate for fast-moving toolsUse AI tools to accelerate development, testing, and code qualityContinuously refine, replace, or retire tools based on usage and feedbackAI-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)Experience combining AI with automation/orchestration to streamline workflows and reduce manual effortFamiliarity with modern AI-enabled development environments and practices Preferred ExperienceInfrastructure as Code (e.g., Terraform)CI/CD and modern DevOps practicesExperience with workflow automation/orchestration tools (e.g., n8n, Zapier, Temporal, Airflow)Experience integrating SaaS tools and APIs (Slack, Notion, Jira, etc.)Comfort building lightweight internal UIs (dashboards, admin panels, etc.)Experience with one or more of the following languages: Python, TypeScript, Golang, RustBasic understanding of data engineering principlesWhat success looks likeYou ramp quickly and start contributing within weeksYou identify inefficiencies and ship tools to address themYou deliver simple solutions that meaningfully improve team productivityYou avoid overbuilding and focus on practical outcomesYou effectively use AI tools to increase speed and output
14 days ago