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:
- Initial Interview – 60 minutes with our Talent Acquisition Specialist
- Culture Fit – 30 minutes with our Team Engagement Manager
- Technical Assessment – Online Challenge/Multiple Choice Questionnaire
- 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.