Senior Software Engineer, Product

Full Stack Engineer, Product

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

What we believe

In 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 role

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.

What we value

You 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.

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Overview

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.

What you’ll do

• 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

What we’re looking for

• 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

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)

• Familiarity with modern AI-enabled development environments and practices

Preferred Experience

• 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.)

How we work

• 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

What success looks like

• You ramp quickly and start contributing within weeks

• You ship production-ready features in short cycles

• You make sound architectural decisions without overbuilding

• You effectively use AI tools to meaningfully increase speed and output