Responsibilities
- Architect and develop shared backend systems and APIs utilized across various platforms
- Establish clear service boundaries, define contracts, and structure data models
- Take full ownership of the software development lifecycle including design, coding, testing, deployment, and ongoing improvements
- Participate in domain modeling and contribute to high-level system architecture decisions
- Ensure developed services are scalable, dependable, and designed for reuse
- Enhance system integration and minimize redundancy across tools and products
- Leverage artificial intelligence tools to speed up development while upholding strong code standards
- Maintain a balance between rapid delivery and long-term system maintainability and flexibility
Work Arrangement
Remote (Country)
What we believe
Technology is no longer just a support function for business strategy — it is the core of it. With AI transforming how organizations operate, compete, and scale, the pace of change has intensified, making technological excellence essential.
Our role
We help private equity investors and leaders of portfolio companies unlock value through technology. In an industry where trillions are invested annually in tech-driven businesses, we ensure the technology foundation delivers on its promise.
Our approach
We combine experienced practitioner insight with proven methodologies, technology-powered solutions, and objective data to guide organizations through key technology decisions in areas like due diligence, transformation, growth, cybersecurity, AI, and operations.
What we value
Our work is guided by five core principles: Service, Curiosity, Credibility, Commitment, and Creativity. If you thrive on solving complex tech challenges and supporting others during pivotal moments, you’ll align with our culture.
How we work
We operate in small, autonomous teams with high ownership and minimal handoffs. We prioritize fast, iterative delivery, practical decisions over over-engineering, and expect engineers to work across the full stack rather than in isolated layers.
What success looks like
You build services reused across multiple systems, create clean abstractions that streamline future development, maintain a balance between speed and long-term sustainability, reduce system fragmentation, and effectively apply AI tools to boost productivity without sacrificing code quality.
