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
- 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.
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.
About the role
The benefits of joining us
Professional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
Competitive compensation
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
Flextime
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Your AgileEngine journey starts here
2 min
Tell us about yourself
2 sec
Confirm requirements
30 - 60 min
Pass a short test
5 min
Record a short video
→ Introduce yourself on a video, instead of waiting for an interview
Live interview
Ace the technical interview with our team
→ Schedule a call yourself right away after your video is reviewed
Live interview
Final interview with your team
→ Get to know the team you will be working with
Get an offer
As quick as possible
