Platform Engineer

Responsibilities:

• Manage and operate Kubernetes clusters, including deployments, scaling, and upgrades.
• Support tenant onboarding, provisioning, and environment configuration.
• Assist in infrastructure provisioning using Terraform.
• Deploy and manage services using Helm charts.
• Monitor system performance using logs, metrics, and traces (MELT).
• Troubleshoot production issues across applications, infrastructure, networking, and databases.
• Support CI/CD pipelines using GitHub Actions, Jenkins, and GitLab CI.
• Maintain observability dashboards, alerts, and operational runbooks.
• Assist in backup strategies, disaster recovery, and high availability setups.
• Participate in incident response and root cause analysis (RCA), documenting learnings.

Requirements:

• Basic understanding of Linux systems, networking concepts, and cloud platforms such as AWS, Azure, or GCP.
• Working knowledge of Kubernetes and Docker.
• Hands-on exposure to Terraform, including modules, state management, and plan/apply workflows.
• Hands-on exposure to Helm, including charts, values.yaml, and releases.
• Familiarity with monitoring tools such as Prometheus, Grafana, or Datadog.
• Basic scripting skills in Python or Bash.
• Understanding of CI/CD pipelines and DevOps practices.

Good to Have:

• Exposure to distributed systems and microservices architecture.
• Understanding of multi-tenant architectures and isolation strategies.
• Familiarity with databases such as PostgreSQL and Redis and messaging systems such as Kafka or Pulsar.
• Basic knowledge of security practices, including IAM, secrets management, and TLS.

Skills

Kubernetes, Prometheus, Grafana, Python, Containers, DevOps, CI / CD, Cloud Computing, Linux, Monitoring, Shell Scripting, Helm, Docker, Datadog, Terraform, GitLab, GitHub Actions, Jenkins, Azure, Google Cloud (GCP), AWS