Senior Software Engineering - Telecommute

Full Stack Engineer, Tooling

(this role is US based remote, all candidates must be authorized to work in the United States without restriction)

In the past few years, private equity investors have invested more than a trillion dollars in software and tech-enabled companies. But has the approach to govern technology value creation caught up to the magnitude of the risk?

We 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.

Service. 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.

Design and build small, high-impact full-stack tools from concept to deployment

Own the full SDLC: design, development, testing, deployment, and iteration

Use AI tools to accelerate development, testing, and code quality

Continuously refine, replace, or retire tools based on usage and feedback

7+ years of software engineering experience

Strong full-stack capability (frontend, backend, and cloud infrastructure)

Experience deploying and operating applications in cloud environments (AWS, Azure, or GCP)

daily usage of) AI coding tools

AI-Native Development

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)

Experience combining AI with automation/orchestration to streamline workflows and reduce manual effort

Familiarity with modern AI-enabled development environments and practices

CI/CD and modern DevOps practices

Comfort building lightweight internal UIs (dashboards, admin panels, etc.)

Experience with one or more of the following languages: Python, TypeScript, Golang, Rust

Basic understanding of data engineering principles

Pragmatic decision-making over over-engineering

You identify inefficiencies and ship tools to address them

You effectively use AI tools to increase speed and output

Crosslake Technologies