🛠 Tech Stack

💼 About This Role

You'll build and scale data platform infrastructure at the intersection of DevOps and data engineering. You'll own production-level reliability and performance of data pipelines and Spark ecosystems. This remote role offers hands-on ownership of cloud environments and CI/CD workflows.

🎯 What You'll Do

• Build and maintain CI/CD pipelines and infrastructure-as-code frameworks for data platforms.
• Operate cloud environments including Spark clusters, Airflow, and orchestration tools.
• Design secure cloud infrastructure templates across AWS, Azure, GCP, or OCI.
• Troubleshoot and resolve data pipeline and platform issues with root-cause analysis.

📋 Requirements

• 6+ years in DevOps, DataOps, or data platform engineering.
• Apache Spark and managed platforms like Databricks or EMR.
• Python proficiency with Java or Scala for data-intensive apps.
• CI/CD experience with GitHub Actions, GitLab CI, or Jenkins.

✨ Nice to Have

• Terraform or Ansible infrastructure-as-code expertise.
• Kubernetes or containerized data workloads in production.
• CloudFormation or ARM Templates.

🎁 Benefits & Perks

• 💰 $130k-$160k annual salary.
• 🏡 Remote-first work environment.
• 🏥 Comprehensive health and disability coverage.
• 🏖️ Flexible PTO including sick leave.
• 📚 Continuous learning opportunities.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Phone screen· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min