(This role is US based remote and all candidates must be able to work in the US now and in the future without restriction) What we believeTechnology 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 roleWe’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 approachThe expert judgment of our experienced 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.What we valueEverything we do is grounded in five core values: Service. Curiosity. Credibility. Commitment. Creativity.If you're energized by solving complex technology challenges and helping others succeed in critical moments, you'll fit right in. 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 workSmall teams, high ownership, minimal handoffsFast, iterative delivery with an emphasis on sound system designPragmatic decision-making over over-engineeringEngineers are expected to operate across the stack, not within silosKey ResponsibilitiesDesign and build shared backend services and APIs used across multiple systemsDefine service boundaries, contracts, and data modelsOwn the full SDLC: design, development, testing, deployment, and iterationContribute to domain modeling and system design decisionsEnsure services are scalable, reliable, and reusableImprove system cohesion and reduce duplication across tools and productsUse AI tools to accelerate development while maintaining high code qualityBalance speed with long-term maintainability and extensibilityRequirements7+ years of software engineering experienceStrong backend expertise with the ability to operate across the full stack when neededExperience designing service-oriented or distributed systemsFamiliarity with domain-driven design (DDD) principlesExceptional systems thinking and ability to model complex domainsExperience deploying and operating applications in cloud environments (AWS, Azure, or GCP)Solid understanding of the full SDLCDeep experience with (i.e., daily usage of) AI coding toolsAI-Native DevelopmentHands-on experience using AI-assisted development tools beyond basic code generationAbility 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 maintainabilityFamiliarity with modern AI-enabled development environments and practicesPreferred ExperienceInfrastructure as Code (e.g., Terraform)CI/CD and modern DevOps practicesAPI design (REST, GraphQL, event-driven systems)Messaging systems (e.g., Kafka, SQS), Event sourcing, CQRS patternsData modeling (SQL and NoSQL)Observability practices (logging, metrics, tracing)Experience with one or more of the following languages: Python, TypeScript, Golang, RustBasic understanding of data engineering principlesWhat success looks likeYou design services that are reused across multiple systemsYou create clean abstractions that simplify downstream developmentYou balance speed with long-term maintainabilityYou improve system consistency and reduce fragmentationYou effectively use AI tools to increase speed without sacrificing quality
14 days ago