DevOps Engineer

Why consider this job opportunity

• Salary range up to $237,500
• Competitive compensation package, including medical, dental, vision, and financial benefits
• Opportunity to work with large‑scale, high‑throughput data systems in a real‑time adtech environment
• Flexible remote work environment, allowing you to work from anywhere in the U.S.
• Continuous learning and growth opportunities across cloud, data platforms, and Dev Ops tooling
• A collaborative, engineering‑driven culture focused on automation and reliability

• Partner closely with data engineering and data science teams to enable reliable data pipelines, analytics, and ML workflows
• Support, operate, and optimize Databricks and Snowflake environments in production
• Design, implement, and maintain CI/CD pipelines using Jenkins and Git Ops practices
• Provision and manage cloud and data platform infrastructure using Terraform and infrastructure‑as‑code best practices
• Participate in incident response and on‑call rotations supporting data and platform systems

• 5+ years of experience in Dev Ops, SRE, or infrastructure engineering roles with experience supporting production data platforms at scale
• Hands‑on experience operating Databricks and Snowflake in production environments
• Experience deploying and supporting Databricks Jobs and Apache Airflow workflows
• Strong experience with Kubernetes (EKS), Argo CD, Helm, and Kustomize
• Strong programming skills in Python, Go, or similar languages

• Experience supporting ML workloads (feature generation, offline training)
• Knowledge of Apache Iceberg, including enabling cross‑platform table access between Databricks and Snowflake
• Experience designing infrastructure to support microservices‑based architectures
• Experience with cloud cost optimization and performance tuning
• Familiarity with service mesh technologies (e.g., Istio, Linkerd)

#Technology #Dev Ops #Remote Work #Data Engineering #Career Opportunity #Diversity And Inclusion

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