Senior Backend Software Engineer

Swish Analytics builds sports analytics, betting, and fantasy data products. The Senior Backend Software Engineer will own core backend products and design, operate, and improve high-traffic APIs, microservices, and real-time data systems.

Responsibilities:

• Serve as the technical lead and owner for core backend products, guiding work from design through implementation and production operation
• Design and improve high-traffic, client-facing APIs and microservices, with attention to latency, availability, and correctness
• Identify performance and scalability bottlenecks across applications, databases, and service dependencies, and deliver improvements supported by production measurements
• Develop services that process real-time and distributed data, working with upstream teams to understand dependencies and failure modes
• Create and review architecture designs, documenting important tradeoffs and explaining them to technical and nontechnical partners
• Review code, provide constructive feedback, and improve coding standards, testing practices, and maintainability
• Improve observability and automation so engineers can detect problems, investigate incidents, and operate services effectively
• Contribute to shared tooling, Kubernetes workload optimization, and cloud efficiency in partnership with the teams responsible for those systems

Requirements:

• Minimum of 5 years of production software engineering experience, including demonstrated technical leadership and ownership of backend systems
• Hands-on production experience with Node.js and Python
• Hands-on production experience with relational and non-relational databases
• Strong understanding of high-traffic APIs, distributed services, and the networking and dependencies that affect their behavior
• Experience making engineering decisions that improve reliability, high availability, performance, and maintainability
• Ability to independently scope ambiguous technical problems, assess tradeoffs, coordinate dependencies, and drive implementation through production rollout
• Strong communication skills with technical and nontechnical stakeholders
• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or equivalent relevant experience
• Production experience with Kafka or comparable stream-processing systems
• Production experience with Docker and Kubernetes
• Experience building and operating systems at global scale, including low-latency distributed data systems
• Experience developing, deploying, and maintaining business-critical applications
• Experience with observability platforms and CI/CD tooling
• Interest or experience in Go
• Familiarity with sports data