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Develop, maintain, and implement Kubernetes clusters at scale for heavy/spiky ML workloads. Optimize and scale workloads on Kubernetes using CI/CD, automation tools, and scripting languages. Implement best practices for software deployment and code management. Monitor system and respond to incidents to maintain system SLO/SLA. Provide on-call support as needed.

Lead the design and development of a next-generation data analytics platform using cutting-edge technologies, manage software development on the frontend of applications, mentor and guide Engineers in utilizing JavaScript, React, and Node to build innovative solutions, and more.

Swish Analytics is seeking a Tennis Data Scientist to develop machine learning models for sports betting products, analyze model performance, and collaborate with data engineering teams. Requires expertise in data analytics, machine learning, and statistical modeling. This position offers a base salary range of $110,000 to $175,000 per year.

Design and develop the next-generation data analytics platform using cutting-edge technologies. Standardize processes for development cycle, research and adopt new technologies, and collaborate with key stakeholders.

Swish Analytics is seeking a Staff Software Engineer with 8+ years of experience to lead and own the development of business essential products. Responsibilities include technical leadership, code reviews, optimizations, design enhancements, and working with globally distributed data. Preferred qualifications include experience with global software engineering, GO, Kafka, Docker, Kubernetes, and sports data.

As a Site Reliability Engineer at Swish Analytics, you will be responsible for supporting production systems, monitoring and responding to incidents, optimizing incident response, and working on complex distributed systems. You will also work closely with technical teams to implement and scale workloads using Kubernetes and CI/CD tools. The position requires at least 3 years of experience in SRE or DevOps roles.

Seeking a Senior Data Engineer to architect low-latency, real-time analytics systems, build sports betting data products, integrate datasets, develop predictive analytics APIs, support production systems, and contribute to automated sports data delivery frameworks.