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Senior DataOps Engineer

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📌 Senior DataOps Engineer – AWS, Kubernetes, Git (Full-time, Remote, On-Call Support)

Kick off your next career move with Launchpad! We’re looking for a Senior DataOps Engineer ready to make an impact in a fast-paced, global environment. You’ll sit at the intersection of cloud infrastructure, automation, and data engineering, helping the Data Warehousing & Insights Department build, maintain, and evolve its data ecosystem.

If you’re passionate about automation, CI/CD, and scaling data platforms, this might be the perfect opportunity.

🗓 Start date: ASAP
📆 Contract type: Contractor, Remote, Indefinite
🌐 Work hours: Monday to Friday 8 am to 5 pm PST (flexible) + On-Call Support Rotation

🛠️ What You’ll Be Doing

  • Design and maintain CI/CD pipelines for data engineering & analytics platforms, ensuring speed and reliability.
  • Manage and optimize AWS infrastructure (EC2, S3, EKS, IAM, MWAA), focusing on scalability and cost-efficiency.
  • Automate infrastructure provisioning with Terraform, Ansible, Helm, Docker, and Kubernetes.
  • Monitor and troubleshoot large-scale systems, delivering root cause analysis and preventing future incidents.
  • Collaborate with Data Engineers & Software Engineers, improving reliability, scalability, and observability of data platforms.
  • Enforce security best practices (RBAC, compliance, access management) across systems.

✅ What You Need to Succeed

Must-haves

  • 5+ years in DataOps / DevOps / SRE roles.
  • Strong CI/CD background (GitHub Actions, GitLab, Jenkins, ArgoCD).
  • Hands-on AWS expertise (EC2, S3, IAM, EKS, MWAA).
  • Solid IaC/CaC automation skills (Terraform, Ansible, Helm).
  • Proficiency in Kubernetes (operator/developer level).
  • Experience with Git (GitLab a strong plus).
  • Python + Bash scripting to automate and maintain pipelines.
  • Familiarity with data infrastructure (distributed databases, compute platforms, orchestration).
  • Excellent troubleshooting skills and experience with large-scale systems.
  • Strong communication skills, able to work cross-functionally in remote teams.

Nice-to-haves

  • Snowflake expertise: administration, RBAC, compliance, support (ability to lead and teach in this area).
  • Background in ETL/ELT, Data Lakes, Data Warehousing.
  • Experience with cloud-native data services (BigQuery, Redshift, Databricks).
  • Familiarity with Airflow administration.
  • HashiCorp Vault experience.
  • Relevant cloud/data security certifications.

🧭 Our Recruitment Process

Here’s what to expect from our candidate-friendly interview process:

  1. Initial Interview – 60 minutes with our Talent Acquisition Specialist
  2. Culture Fit – 30 minutes with our Team Engagement Manager
  3. Technical Assessment – Online Challenge/Multiple Choice Questionnaire
  4. Final Stage – 60 minutes with the Hiring Manager & Technical Lead

🌟 Why Join Launchpad?

We believe that great work starts with great people. At Launchpad, we offer:

  • 💻 Fully remote work with hardware provided
  • 🌎 Global team experience with clients in North America
  • 💸 Competitive USD compensation
  • 📚 Training and learning stipends
  • 🌴 Paid Time Off (vacation, personal, study)
  • 🧘‍♂️ A culture that values autonomy, purpose, and human connection

✨ Ready to make your mark? Apply now and be part of something exciting.

 

 

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