(This role is US based remote and all candidates must be able to work in the US now and in the future without restriction)

What we believe

Technology is no longer just an enabler of business strategy. It is the business strategy. And with AI reshaping how companies operate, compete and grow — while rapidly accelerating the pace of change — the stakes have never been higher.

Our role

We’re focused on helping private equity investors and portfolio company leaders drive value creation through technology. In a world where investors deploy trillions annually into software and tech-enabled businesses, we're the team that makes sure the underlying technology actually delivers.

Our approach

The expert judgment of our experienced practitioners is complemented by proven frameworks, tech-enabled solutions, and objective data to help organizations navigate critical technology decisions across diligence, transformation, growth, cybersecurity, AI, and operational execution.

What we value

Everything we do is grounded in five core values: Service. Curiosity. Credibility. Commitment. Creativity.

If you're energized by solving complex technology challenges and helping others succeed in critical moments, you'll fit right in.

Job Role

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.

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

Key Responsibilities

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

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

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.)

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