Senior Software Engineer, Tooling

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🕒 June 19

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Crosslake Technologies

201 - 500 employees

💸 Finance

Consulting • Finance • Technology

Crosslake Technologies is a global advisory firm that specializes in serving private equity investors and their portfolio companies. The company focuses on technology due diligence, digital transformation strategy, and technology value creation. Crosslake Technologies provides executive leadership consulting through the private equity investment lifecycle, offering expertise in security, architecture, engineering alignment, and Software Development Life Cycle (SDLC) processes. They also provide interim leadership roles for CTOs, CISOs, CIOs, and chief engineers. Their proprietary platform delivers actionable insights to guide critical technology decisions, informed by data from over 4,000 technology M&A transactions. Their mission is to support private equity through the M&A investment lifecycle by optimizing technology and creating value across portfolio operations.

📋 Description

• 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 Tooling team, focused on rapidly building lightweight internal tools that improve how Crosslake teams work. • 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. • 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 • Many tools are short-lived or heavily iterated—impact matters more than longevity

🎯 Requirements

• 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 tools

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