Design and build high-performing, distributed APIs and microservices that scale to handle heavy traffic
Design efficient database schemas and optimize complex queries for large, interconnected datasets
Write testable, maintainable code with a bias toward self-documenting practices
Build systems with deep observability (metrics, logging, tracing) to support reliable operations
Approach all work with a security lens, identifying vulnerabilities and ensuring high-quality, secure deployments
Utilize pragmatic architecture patterns (abstractions, code isolation) that enable iterative, autonomous development
Leverage cloud infrastructure and modern practices to support continuous release cycles and safe experimentation
Use data and sound judgment to propose technical approaches and reduce technical debt
Mentor teammates through thoughtful code reviews and pairing to build team redundancy and raise quality
Partner with Product and Design to whiteboard solutions and validate feasibility before code is written
Document wins and fails to share patterns and improvements with the wider engineering team
Champion AI-augmented engineering to reduce “grunt work” without sacrificing quality or security

5 to 8+ years of backend engineering experience in a high-growth SaaS or product environment
Built and maintained software that supports rapid, continuous release cycles
Experience building high-performing APIs and microservices that scale to handle heavy traffic
Strong SQL skills, including database schema design and query optimization for large datasets
Familiarity with cloud environments (AWS or GCP) and modern deployment practices (containerization, CI/CD)
Experience working in Agile teams with end-to-end ownership
Strong communication skills and a collaborative approach to working with cross-functional partners
While not a minimum requirement, experience in the following areas would be a plus:
Experience designing distributed systems for high-throughput traffic and heavy data workloads
Deep experience with observability practices (metrics, logging, tracing) and production troubleshooting
Strong security mindset, including vulnerability identification and secure deployment practices
Experience mentoring engineers through code reviews, pairing, and documentation
Experience using AI tools to improve engineering velocity while maintaining quality standards.

Senior Software Engineer, Backend

Key skills