Role: DevOps Automation Engineer – Database Platforms
Location: LATAM (Remote)
Mode: Contract
About the Role
We are hiring a DevOps Automation Engineer to join our database engineering team and lead the development of tools infrastructure automation and CICD workflows that power our database platforms. You will partner closely with database architects to convert infrastructure and deployment needs into scalable maintainable production ready code.
This is a hands‑on engineering role focused on infrastructure as code, Python development, Kubernetes automation, and GitOps delivery not direct database administration. You will play a critical role in enabling the team to deliver fast, safe, and repeatable database solutions.
Key Responsibilities
- Design, implement and maintain infrastructure as code for database environments using Terraform.
- Build and manage CI/CD pipelines for database tools and platform deployments using GitHub Actions and Argo CD.
- Develop and maintain Helm charts for deploying database operators and internal services to Kubernetes.
- Write Python automation for provisioning, patching, backups, secrets and compliance across platforms.
- Manage GitOps based Kubernetes deployments and environments using Argo CD.
- Implement and standardize secrets management integrations (e.g., Vault, AWS Secrets Manager, KMS).
- Integrate observability into database platforms (e.g., Prometheus, Grafana, New Relic).
- Partner with DB engineers to support automated test environments, mocking and validation tooling.
- Create and maintain internal tooling libraries, templates and reusable modules.
- Produce and maintain documentation for workflows, standards and L2 onboarding.
Core Qualifications
- Infrastructure & Cloud: Proficiency with Terraform for AWS and/or multicloud infrastructure, modular DRY design, remote state.
- Strong understanding of cloud fundamentals: IAM roles, VPC networking, EC2, storage, monitoring, KMS.
- Kubernetes Deployment Automation: Hand‑on experience with Helm chart creation, customization, lifecycle management; deploying and managing Kubernetes workloads (StatefulSets, PVCs, RBAC, node affinity).
- Proficient with Argo CD and GitOps principles for Kubernetes application delivery.
- Automation Tooling: Strong Python development skills for platform automation tool creation and libraries.
- Experience building and managing CI/CD pipelines using GitHub Actions or similar tools.
- Familiarity with configuration and parameterization of database operators (CNPG, Percona, Redis, etc.).
- Experience integrating secrets automation workflows with Vault, External Secrets or similar tools.
- Observability Monitoring: Experience integrating tools such as Prometheus, Grafana, New Relic and custom exporters.
- Understanding of SLOs, LADRiven alerting and metrics pipelines.
- Operational Excellence: Ability to translate infrastructure and platform needs into scalable code.
- Comfortable creating documentation, onboarding guides and reusable templates.
- Effective communicator able to collaborate with DB engineers, SREs and platform teams.
- Ownership mindset delivering solutions end‑to‑end, proactively identifying gaps and leading improvements.
Bonus Skills
- Familiarity with PostgreSQL, MySQL, MongoDB, Redis or other database platforms.
- Experience managing Kubernetes Operators for databases.
- Experience with secrets management via Vault Agent or External Secrets Operator.
- Exposure to load testing frameworks or validation tooling for infrastructure components.
- Experience supporting internal developer platforms or self‑service tooling layers.