Senior Software Engineering - Telecommute

This role is US based remote and all candidates must be able to work in the US now and in the future without restriction)
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.
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.
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.
If you're energized by solving complex technology challenges and helping others succeed in critical moments, you'll fit right in.
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.
You’ll be expected to design, build, and ship software with minimal handoffs—working across frontend, backend, and infrastructure as needed.
Pragmatic decision-making over over-engineering
Design and build full-stack applications from concept to production
Own the full SDLC: design, development, testing, deployment, and iteration
Use AI tools to accelerate development, testing, and code quality
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 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
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.)
You ship production-ready features in short cycles
You effectively use AI tools to meaningfully increase speed and output