Python Kubernetes Software Engineer Data Jobs in Tampa, FL

Job Summary

The Sr.Software Engineer within the DevOps team will lead the design, implementation, and evolution of cloud-native infrastructure and automated systems that power our hockey analytics platform and data ecosystem. This role has a strong emphasis on AWS-based architecture,DevSecOpsbest practices, and Infrastructure as Code (IaC), while continuing to support software engineering, data platform development, and analytics-driven applications.

The Sr.Software Engineer will play a key role in building secure, scalable, andhighly reliablecloud infrastructure, enabling rapid, safe delivery of analytics solutions through modern CI/CD pipelines and automation-first engineering practices. You will work across data architecture, platform services, and application development, ensuring seamless delivery, operational excellence, and rapid issue resolution.

Working closely with the Director of DevOps & Data Engineering and other team members,the Sr.Software Engineer will act as a technical leader-sharing cloud, security, and automationexpertiseto help the team deliver high-quality, production-grade systems. This position offers the opportunity to drive innovation and have a direct impact on both the organization and the hockey analytics team.

Essential Duties & Responsibilities

• Lead the design, development, and maintenance of cloud infrastructure and core services for the hockey analytics platform, with a strong focus on AWS architecture, scalability, reliability, security, and performance.

• Architect and implement Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or similar frameworks to ensure reproducible, auditable, and secure environments across development and production.

• ChampionDevSecOpspractices, embedding security, compliance, and observability into CI/CD pipelines, infrastructure, and application delivery processes.

• Build,maintain, andoptimizeCI/CD pipelines to support automated testing, deployment, and infrastructure provisioning.

• Develop andmaintaininternal tooling, services, and dashboards that support hockey data analysis, platform monitoring, and operational visibility.

• Monitor cloud systems, applications, and data pipelines, proactivelyidentifyingperformance, cost, reliability, or security issues and troubleshooting production incidentsin a timely manner.

• Collaborate with data engineers, analysts, and cross-functional stakeholders to gather requirements and design scalable, maintainable, and efficient cloud-native solutions.

• Lead architectural discussions, code reviews, and infrastructure reviews, ensuring adherence to best practices for cloud design, security, coding standards, and operational excellence.

• Mentor junior engineers and interns, fostering a collaborative environment and promoting professional growth through hands-on technical guidance, cloud architecture mentorship, and regular feedback.

• Perform other duties as assigned

Game/Event Responsibilities

• Game/Event Night responsibilities:limited

• Approximate number of events worked per year:on call as needed

Qualifications

• Bachelor's orMaster's degree in Computer Science, Software Engineering, or a related field.

• 5+ years of professional experience in software engineering, cloud infrastructure, DevOps, or related roles.

• Strong understanding of data structures, algorithms, and distributed systems.

• Proficiencyin Python, including software design, development, and debugging.

• Experience with SQL and/or NoSQL databases.

• Deep experience with cloud platforms, particularly AWS (preferred), including cloud networking, compute, storage, managed services, and security concepts.

• Strong experience with Infrastructure as Code (e.g., Terraform, CloudFormation) and cloud automation.

• Experience implementingDevSecOpspractices, including CI/CD automation, secrets management, environment isolation, and security best practices.

• Expertisebuilding and supporting data pipelines, analytics platforms, and real-time or near-real-time data processing systems.

• Experience developing andmaintainingREST APIs.

• Hands-on experience with containerization and orchestration, such as Docker, Kubernetes, Airflow, orDagster, along with Linux/Unix operating systems.

• Experience designing database architectures, including data modeling, schema design, normalization, indexing, and query optimization.

• Strong interpersonal and communication skills, with experience working in cross-functional teams including managers, data scientists, and business stakeholders.

• Familiarity with front-end frameworks, JavaScript, HTML, and CSS is a plus.

Working Conditions

• Ability to work efficiently and effectively in office and arena environment that can be exciting,loudand distracting

• This is an onsite role; flexibility to work a minority of time remotely.

• Ability to work extended hours including late nights, holidays, and weekends as needed

• Ability to work prolonged periods sitting at a desk and working on a computer.

• Ability to lift/carry/move up to 10lbs

• Ability to work in cold/hot indoor and outdoor temperatures

• Ability to work in areas that can become crowded with equipment and/or people