(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

Senior Software Engineer, Product

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