Senior Software Engineer developing high - quality SaaS applications for digital investigations. Collaborating with engineering teams to enhance developer experience and product scalability.
About the role
- Senior Software Engineer building scalable, high-performance solutions for sports betting technology. Developing and maintaining software that powers real-time sports data products at TXODDS.
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.
- Nice to Have (Not required but a bonus): Experience in sports data, betting tech, or large-scale data pipelines.
- Familiarity with web-scraping frameworks (e.g. Playwright, Selenium).
- Interest in using AI-assisted development tools.
Benefits
- competitive benefits package tailored to your location
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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