Note: The job is a remote job and is open to candidates in USA. Crosslake Technologies is focused on helping private equity investors and portfolio company leaders drive value creation through technology. The Senior Software Engineer role involves designing and building shared backend services and APIs, owning the full software development lifecycle, and ensuring services are scalable, reliable, and reusable.

Responsibilities

• 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

Skills

• 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 (i.e., daily usage of) AI coding tools
• 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
• 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

Company Overview