Senior Software Engineer, Tooling

Full Stack Engineer, Tooling (this role is US based remote, all candidates must be authorized to work in the United States without restriction)What we believeIn the past few years, private equity investors have invested more than a trillion dollars in software and tech-enabled companies. And in many cases, the underlying tech is the greatest enabler to the business strategy. But has the approach to govern technology value creation caught up to the magnitude of the risk?We believe a better way is possible – a more programmatic, proactive approach to actively manage technology throughout the investment lifecycle – and that’s what we do.Our roleWe know that technology can create truly transformative change, and its role in business is only growing. Crosslake is here to support the changemakers and help them buy, build and run better technology.What we valueYou could be a good fit for Crosslake if you see yourself reflected in our guiding values:Service.We effect change by empowering others.Curiosity.We believe great advice starts with deep understanding.Credibility.Our expertise is earned and proven.Commitment.It’s our privilege to serve clients in their critical moments.Creativity.We are inspired by the constant pursuit of better.OverviewWe’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.What you’ll doDesign 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 feedbackWhat we’re looking for7+ 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 toolsAI-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 practicesPreferred 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 principlesHow 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 longevityWhat 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 outputCrosslake Technologies