Full Stack Software Engineer (US, Remote)

Full Stack Software Engineer (US, Remote)

Note: This position is US-based remote. All applicants must be able to live and work in the US with no need for sponsorship now or in the future.

Our Beliefs

In recent years, private equity investors have invested over a trillion dollars in software and tech-enabled companies. In many cases, the underlying technology is the greatest enabler of the business strategy. However, has the approach to governing technology value creation kept pace with 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. This is what we do.

Our Role

We understand 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.

Our Values

You might 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.