Senior Software Engineer, Product

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🕒 3 days ago

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Crosslake Technologies

WebsiteLinkedInAll Job Openings

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 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.

🎯 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 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 • Infrastructure as Code (e.g., Terraform) • CI/CD and modern DevOps practices • Extensive experience with one or more of the following languages: Python, Typescript, Golang, Rust • Experience with deploying and maintaining applications in the AWS ecosystem • Experience with AI engineering – building agentic workflows into products that balance efficiency and quality (e.g., Pydantic AI, CrewAI, LangGraph, etc.)

🏖️ Benefits

• 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