Senior Software Engineer at TxODDS developing scalable solutions for real-time sports data products. Building and maintaining software processes for accurate data acquisition while collaborating across teams in a hybrid work environment.
Responsibilities
Developing, testing, and deploying high‑quality software that processes data from diverse sources.
Building, improving, and maintaining distributed systems and data pipelines (including Kafka-based services).
Deploying and supporting containerised workloads running in Kubernetes environments.
Creating and maintaining clear, accurate documentation for the systems you build.
Validating and monitoring data quality using internal tools and processes.
Supporting data‑gathering workflows, including those involving web‑scraping or automated data acquisition.
Investigating and resolving data‑related issues escalated from the Client Services team.
Participating in an out‑of‑hours on‑call rotation to support critical data acquisition systems.
Sharing knowledge widely and contributing to a positive, collaborative team culture.
Mentoring junior engineers and helping raise the overall technical bar.
Requirements
Strong experience with at least one core programming language (e.g. Python, Java, Scala)
Hands-on experience with Kubernetes, container orchestration, and Docker
Experience working with distributed systems and event‑driven technologies (e.g. Kafka)
Solid understanding of networking fundamentals (HTTP, APIs)
Experience with relational and NoSQL databases
Strong Git skills and familiarity with modern development practices (code reviews, testing, CI/CD)
Comfort working in a Linux/Unix command-line environment
Experience designing and debugging software from inception to deployment.
Excellent problem‑solving skills and a proactive approach to improving systems and processes.
Strong communication and collaboration skills, and the ability to work effectively across teams.
Benefits
Competitive benefits package tailored to your location
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