Full Stack Software Engineer (US, Remote)

Full Stack Software Engineer (This position is US based remote, and all applicants must be able to live and work in the US with no need for sponsorship now, or in the future.)

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.

Role Overview

We are seeking a Full Stack Engineer with strong experience across both frontend and backend development. This role is ideal for engineers who treat AI as a first-class capability in both product features and day-to-day engineering workflows.

This role is perfect for passionate techies who have a desire to learn while working on building the most innovative new products & feature development projects, across a variety of clients in different industries.

Key Responsibilities:
• Design and build end-to-end features across frontend and backend systems

• Develop scalable, maintainable, and secure software architectures

• Implement AI-powered features using LLMs, embeddings, agents, or ML services

• Use AI productivity tools to accelerate development, testing, and documentation

• Collaborate with product, design, and platform teams

• Participate in code reviews and contribute to engineering best practices

Required Qualifications:
• 4+ years of professional software development experience

• Undergraduate degree in Engineering (Computer Science preferred)

• Balanced experience in frontend and backend development

• Strong understanding of scalable system architecture

• Hands-on experience building and deploying production systems

• Practical experience with AI-enabled development

Preferred Qualifications:
• Experience in tech-focused, engineering-driven companies

• Experience with distributed systems or cloud-native architectures

• Prior work on AI-first or data-intensive products