Senior DevOps Engineer (DataOps)
Summary
Owns Kubernetes infrastructure, CI/CD pipelines, and data-platform reliability for an agency that builds digital products, ensuring SLAs for Airflow pipelines and containerized workloads.
Senior DevOps Engineer (DataOps)
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An innovative software development firm that partners with businesses to design and build reliable, user-focused digital products. They are known for delivering high-quality solutions that solve real-world challenges.
Role Introduction
Owns platform reliability and infrastructure operations , Kubernetes orchestration, container management, and CI/CD pipelines , ensuring SLA compliance for all data pipelines running across the stack.
Features
- Fulltime
- Onsite
Requirements
- Operate and harden the Kubernetes environment hosting data pipeline workloads.
- Manage Docker container builds, registries, and deployment patterns for data engineering and ML teams.
- Build and maintain GitLab CI/CD pipelines for automated testing, build, and deployment of data jobs.
- Monitor Airflow DAG execution across the platform, ensuring pipeline SLAs are met and breaches are triaged quickly.
- Implement observability, logging, monitoring, and alerting, across the containerized data platform.
- Manage infrastructure-as-code for provisioning and scaling cluster resources.
- Partner with Data Engineers and MLOps to standardize deployment patterns across data and ML workloads.
- Lead incident response and root-cause analysis for platform reliability issues.
Specifications
- 6+ years in DevOps/DataOps/Platform Engineering, with deep, demonstrable Kubernetes experience
- Strong hands-on Docker and container orchestration experience in production environments.
- Proven track record building and maintaining GitLab CI/CD pipelines (GitOps experience a strong plus).
- Experience operating Apache Airflow at the infrastructure level , environment management, scaling, and SLA monitoring (distinct from DAG authoring).
- Solid scripting ability (Python, Bash, or Go) for automation and tooling.
- Linux systems fundamentals and comfort working across cloud and on-prem infrastructure.
Expertise
Skills: Airflow DAG Operations, Docker, GitLab CI/CD, Kubernetes
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