Role Description This role is US based remote and all candidates must be able to work in the US now and in the future without restriction. 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. This role is for engineers who are comfortable operating across the stack while bringing strong backend and systems design expertise. This role is part of our Services team, which builds the shared backend services and system foundations that power many of Crosslake’s tools and products. These systems are designed for reuse, scalability, and long-term maintainability. This role requires strong architectural thinking and hands-on execution, with a focus on building reliable, extensible services that support multiple use cases over time. - Design and build shared backend services and APIs used across multiple systems - Define service boundaries, contracts, and data models - Own the full SDLC: design, development, testing, deployment, and iteration - Contribute to domain modeling and system design decisions - Ensure services are scalable, reliable, and reusable - Improve system cohesion and reduce duplication across tools and products - Use AI tools to accelerate development while maintaining high code quality - Balance speed with long-term maintainability and extensibility Qualifications - 7+ years of software engineering experience - Strong backend expertise with the ability to operate across the full stack when needed - Experience designing service-oriented or distributed systems - Familiarity with domain-driven design (DDD) principles - Exceptional systems thinking and ability to model complex domains - Experience deploying and operating applications in cloud environments (AWS, Azure, or GCP) - Solid understanding of the full SDLC - Deep experience with AI coding tools Requirements - 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) - Ability to balance AI-assisted development with sound system design and long-term maintainability - Familiarity with modern AI-enabled development environments and practices Preferred Experience - Infrastructure as Code (e.g., Terraform) - CI/CD and modern DevOps practices - API design (REST, GraphQL, event-driven systems) - Messaging systems (e.g., Kafka, SQS), Event sourcing, CQRS patterns - Data modeling (SQL and NoSQL) - Observability practices (logging, metrics, tracing) - Experience with one or more of the following languages: Python, TypeScript, Golang, Rust - Basic understanding of data engineering principles What success looks like - You design services that are reused across multiple systems - You create clean abstractions that simplify downstream development - You balance speed with long-term maintainability - You improve system consistency and reduce fragmentation - You effectively use AI tools to increase speed without sacrificing quality