Senior Backend Software Engineer, Onebrief

• We value strong problem-solving skills and sound engineering judgment over mastery of any one technology
• If you enjoy thinking about trade-offs, working across the stack, and solving problems that keep production systems healthy under real-world conditions, you’ll thrive here
• 5+ years of experience in backend software development
• B.S. in Computer Science, Engineering, or equivalent practical experience
• Proficiency in one or more backend languages (e.g., Node.js, Python, Java, Go, etc.)
• Deep understanding of designing and building scalable APIs (REST, GraphQL, gRPC)
• Strong experience with relational and/or non-relational databases, data modeling, and query optimization
• Demonstrated ability to design, implement, and maintain distributed systems
• Strong knowledge of application performance tuning, reliability, and security best practices
• Hands-on experience with containerization and cloud infrastructure (Docker, Kubernetes, AWS/GCP/Azure)
• Proven ability to collaborate across functions (product, design, frontend, DevOps) to deliver end-to-end solutions
• Excellent communication skills and ability to clearly articulate technical tradeoffs
• Track record of ownership and delivering complex projects in a fast-paced environment

Desirable

• We’re hiring a Senior Backend Engineer to help design, build, and operate the core systems of our platform. This is a hands-on engineering role with a focus on performance, reliability, and operational excellence
• Our backend is built on modern languages, frameworks, and cloud-native infrastructure
• You’ll work on high-impact systems including (but not limited to) our core backend services, database, monitoring, and metrics pipelines. Expect to tackle challenges in scaling, performance, data modeling, fault tolerance, observability, and disaster recovery. You’ll help shape architecture and contribute to operational and long term strategy
• Design, build, and maintain backend services that power mission critical platform functions
• Evolve and optimize the underlying data model to improve scalability, performance, and reusability
• Work across the stack — from APIs and databases to deployment and observability
• Diagnose and resolve performance, scalability, and reliability issues in production
• Collaborate on architecture and operational strategy for high-availability systems
• Implement and refine monitoring, alerting, and metrics collection
• Balance long-term engineering quality with pragmatic delivery