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, DevSecOps best 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, and highly reliable cloud 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 automation expertise to 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. 

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

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

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

• Monitor cloud systems, applications, and data pipelines, proactively identifying performance, cost, reliability, or security issues and troubleshooting production incidents in 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 or Master’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. 

• Proficiency in 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 implementing DevSecOps practices, including CI/CD automation, secrets management, environment isolation, and security best practices. 

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

• Experience developing and maintaining REST APIs. 

• Hands-on experience with containerization and orchestration, such as Docker, Kubernetes, Airflow, or Dagster, 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, loud and 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