Docker Kubernetes Specialist for Release Pipeline Hardening Rollout

Ridgeline Software

Part-time · Remote · Flexible hours

About the role

We are building a scalable data pipeline to empower operations teams with real‑time analytics. As a Docker Kubernetes Specialist you will design, deploy, and fine‑tune containerized workloads that move, process, and visualize data across cloud environments.

Key responsibilities

• Architect and implement Kubernetes clusters tailored for data ingestion and transformation workloads
• Containerize ETL components using Docker and ensure reproducible builds
• Set up CI/CD pipelines that automatically test and roll out pipeline updates
• Monitor performance, troubleshoot bottlenecks, and optimize resource utilization
• Collaborate with data engineers and analysts to align infrastructure with analytics needs

Must-have skills

• Proven experience with Docker and Kubernetes in production
• Solid understanding of CI/CD concepts and tooling
• Ability to script automation (bash, Python, or similar)
• Familiarity with cloud platforms (AWS, GCP, or Azure)

Nice to have

• Experience with data pipeline frameworks (Airflow, Prefect)
• Knowledge of monitoring stacks like Prometheus/Grafana
• Background in analytics or data engineering workflows