Senior DevOps Engineer ID63545

AgileEngine•Miami, FL

3d•Hybrid

About The Position

We are looking for a Senior DevOps Engineer to architect and manage the cloud infrastructure powering baseball operations platforms at the intersection of data engineering, machine learning, and analytics. You will build and maintain CI/CD pipelines with GitHub Actions, operate Kubernetes workloads, design Apache Airflow workflows, and support cloud data warehouse platforms in a production environment. The role partners closely with baseball operations staff and technical teams to keep critical systems fast, secure, and always available.

Requirements

Must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
5+ years of experience in DevOps, cloud infrastructure, or site reliability engineering
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 GitHub Actions and GitHub Enterprise
Experience supporting cloud data warehouse platforms such as BigQuery, 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
Upper-intermediate English level

Nice To Haves

GCP or AWS professional certification
Experience supporting real-time data pipelines and high-availability systems
Passion for baseball and knowledge of advanced baseball analytics

Responsibilities

Design, deploy, and maintain scalable cloud infrastructure
Build, manage, and continuously improve CI/CD pipelines using GitHub Actions and GitHub Enterprise to support reliable, automated software delivery
Architect and operate Kubernetes-based container workloads, including orchestration, scheduling, and cluster reliability
Design and maintain Apache Airflow workflows that power data orchestration
Monitor system health and lead on-call incident response using observability and incident management platforms
Partner with 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
Collaborate with stakeholders to ensure infrastructure scales with organizational demands