Senior Backend Software Engineer

🕒 4 days ago

🏄 California – Remote

🏄 California – Remote

💵 $150k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 0%

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Swish Analytics

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2014

💼 Consulting

📣 Marketing

🎲 Gambling

💰 $6.9M Series B - Swish Analytics on 2019-05

Consulting • Marketing • Gambling

Swish Analytics is a machine-learning driven sports-odds and predictive-data company that builds a real-time odds origination engine for sportsbooks and fantasy platforms. It provides hyper-accurate player prop pricing, match and team markets, in-play and pre-game projections, and automated bet-lifecycle management to power bookmaking, bet builders, parlays, and micro-markets. Swish positions itself as a B2B provider focused on automation, accuracy, and scalable odds infrastructure for the sports betting industry.

📋 Description

• 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 • Partner with infrastructure, data engineering, data science, and product teams to keep services reliable as demand grows

🎯 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 (preferred) • Production experience with Docker and Kubernetes (preferred) • Experience building and operating systems at global scale, including low-latency distributed data systems (preferred) • Experience developing, deploying, and maintaining business-critical applications (preferred) • Experience with observability platforms and CI/CD tooling (preferred) • Interest or experience in Go (preferred) • Familiarity with sports data (preferred) • Successful completion of background and reference checks may be required