Senior Software Engineer, Services

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Crosslake Technologies

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

Consulting • Finance • Technology

Crosslake Technologies is a global advisory firm that specializes in serving private equity investors and their portfolio companies. The company focuses on technology due diligence, digital transformation strategy, and technology value creation. Crosslake Technologies provides executive leadership consulting through the private equity investment lifecycle, offering expertise in security, architecture, engineering alignment, and Software Development Life Cycle (SDLC) processes. They also provide interim leadership roles for CTOs, CISOs, CIOs, and chief engineers. Their proprietary platform delivers actionable insights to guide critical technology decisions, informed by data from over 4,000 technology M&A transactions. Their mission is to support private equity through the M&A investment lifecycle by optimizing technology and creating value across portfolio operations.

📋 Description

• 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

🎯 Requirements

• 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