[Hiring] Senior Backend Software Engineer @Swish Analytics

Role Description

Swish Analytics is looking for a hands-on Senior Backend Software Engineer who can independently take technical ownership of core backend products, drive work across team boundaries, and help the team make sound architecture and engineering decisions.

• 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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• Base Salary: Starting at $150,000 to DOE.