Senior DevOps Engineer

Company Overview

At the Miami Marlins, we make waves — on and off the field.

We’re built for sustainable success thanks to our commitment to be great teammates, bold innovators, and thinking long-term. These three pillars guide us in championing a winning culture across the organization. The work we do doesn’t just impact our team — it reaches fans and communities across South Florida.

As a Senior Dev Ops Engineer, you will be a critical force behind the infrastructure that powers our baseball operations platforms. This role is responsible for architecting and managing our cloud environment, building and maintaining CI/CD pipelines, and ensuring the reliability and performance of various baseball systems. You will work at the intersection of software engineering, data engineering, machine learning, and cloud infrastructure, partnering closely with data engineers, analysts, and baseball operations staff to keep our systems fast, secure, and always available, while also innovating for the future needs of the department.

• Build, manage, and continuously improve CI/CD pipelines using Git Hub Actions and Git Hub Enterprise to support reliable, automated software delivery.
• Architect and operate Kubernetes-based container workloads, with deep ownership of orchestration, scheduling, and cluster reliability.
• Design and maintain Apache Airflow workflows that power data orchestration across baseball systems.
• Monitor baseball system health and lead on-call incident response using observability and incident management platforms, driving fast resolution and post-incident improvement.
• Partner with baseball systems teams to support infrastructure needs for cloud data warehouse platforms and downstream analytical and machine learning capabilities.
• Develop and enforce infrastructure-as-code standards, security best practices, and cloud cost governance policies using Terraform and other tooling.
• Evaluate and integrate AI-assisted developer tooling to improve engineering efficiency and operational workflows across baseball operations.
• Collaborate with stakeholders across baseball operations to ensure infrastructure scales with organizational demands.

• Provides and receives feedback without judgement or ego.
• Holds one another to a high standard.
• Provides help and encouragement proactively.
• Assumes positive intentions from others.
• Looks for ways to help make their teammates better.

• Challenges conventional wisdom.
• Unafraid to fail.
• Pushes boundaries and doesn't accept impossible.
• Asks why and asks why not.

• Eschews instant gratification for bigger benefits in the future.
• Always trying to think three steps ahead.

• Expertise in cloud computing platforms such as AWS, Google Cloud, or Azure.
• Deep experience with Kubernetes, including cluster management, workload orchestration, and production operations at scale.
• Experience with ArgoCD and Helm for Kubernetes-native deployment and release management.
• Strong proficiency with Apache Airflow, including DAG development, scheduling, and pipeline reliability in a data engineering context.
• Proven ability to build and maintain CI/CD pipelines using Git Hub Actions and Git Hub Enterprise.
• Experience supporting cloud data warehouse platforms in a production infrastructure capacity such as Big Query, Snowflake, or Databricks.
• Proficiency with infrastructure-as-code tooling and cloud automation best practices.
• Familiarity with observability and incident management platforms for monitoring, alerting, and on-call response.
• Comfort working with AI-assisted developer tooling to accelerate engineering workflows.
• Strong scripting skills in Python or similar languages for automation and tooling.
• Excellent communication and collaboration skills, with the ability to partner across technical and non-technical teams.
• Passion for baseball and some knowledge of advanced baseball analytics is preferred.

• Minimum of 5+ years of experience in Dev Ops, cloud infrastructure, or site reliability engineering.
• Demonstrated experience managing enterprise cloud environments and Kubernetes-based systems in a production setting.
• GCP or AWS professional certification is a plus.
• Experience supporting real-time data pipelines and high-availability systems is strongly preferred.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• Ability to work evenings, weekends, and holidays as needed.
• Availability to travel occasionally for industry conferences or organizational needs.
• Ability to sit/stand for extended periods and work in an office environment.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.