Senior DevOps Engineer ID63545

AgileEngine; Miami (FL); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Mentorship

Education budgets

Fitness budgets

Team activity budgets

Flexible schedule

Job summary

AgileEngine is seeking a Senior DevOps Engineer in Miami to manage cloud infrastructure and build CI/CD pipelines for baseball operations platforms. Responsibilities include overseeing Kubernetes workloads and maintaining Apache Airflow workflows. Candidates should have 5+ years of experience in DevOps, expertise in cloud platforms like AWS or Google Cloud, and strong skills in CI/CD practices. AgileEngine offers a people-first culture with opportunities for professional growth and competitive compensation.

Qualifications

• 5+ years of experience in DevOps, cloud infrastructure, or site reliability engineering.
• Deep experience with Kubernetes, including cluster management, workload orchestration, and production operations.
• Upper-intermediate English level.

Responsibilities

• Design, deploy, and maintain scalable cloud infrastructure.
• Build and manage CI/CD pipelines using GitHub Actions.
• Monitor system health and lead on-call incident response.

Skills

DevOps

Cloud infrastructure

Kubernetes

CI/CD pipelines

Apache Airflow

Python

AWS

Google Cloud

Azure

Education

Bachelor’s degree in Computer Science, Engineering, or a related field

Tools

GitHub Actions

Terraform

ArgoCD

Helm

BigQuery

Snowflake

Databricks

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

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.

WHAT YOU WILL DO

• 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.

MUST HAVES

• You 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.

PERKS AND BENEFITS

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.