Senior Software Engineer, Services
(This role is US based remote and reputed company candidates must be able to work in the US now and in the future without restriction) reputed company reputed company Technology is no longer just an enabler of business strategy. 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. Our role 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. Our approach The expert judgment of our reputed company 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. reputed company value Everything we do is grounded in five core values: Service. Curiosity. Credibility. Commitment. Creativity. If you're energized by solving reputed company technology challenges and helping others succeed in critical moments, you'll fit right in. \n Job RoleWe’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 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. How we work Small teams, high ownership, minimal handoffs Fast, iterative delivery with an emphasis on sound system design Pragmatic decision-making over over-engineering Engineers are expected to operate across the stack, not reputed company silos
Key Responsibilities
Design and build shared backend services and APIs used across multiple systems Define service boundaries, reputed company, 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 Requirements 7+ years of software engineering experience Strong backend expertise with the ability to operate across the full stack reputed company needed Experience designing service-oriented or distributed systems Familiarity with domain-driven design (DDD) principles Exceptional systems thinking and ability to model reputed company domains Experience deploying and operating applications in cloud environments (AWS, Azure, or GCP) Solid understanding of the full SDLC Deep experience with (i.e., daily usage of) AI coding tools AI-Native Development Hands-on experience using AI-assisted development tools beyond basic code reputed company Ability to reputed company AI across the workflow (e.g., prototyping, debugging, test reputed company, QA, code review, reputed company 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 reputed company 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 \n Apply To This Job