Sr. Software Engineer

Sr. Software Engineer

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

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

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.