Description

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 CI/CD 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 multi-cloud infrastructure (modular, DRY design, remote state).
• Strong understanding of cloud fundamentals: IAM roles, VPC, networking, EC2, storage, monitoring, KMS.

Kubernetes & Deployment Automation:

• Hands-on experience with Helm (chart creation, customization, lifecycle management).
• Experience 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 SLO/SLA-driven 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: deliver solutions end-to-end, proactively identify gaps, and lead improvements

Key Skills

Education

Any Graduate