SDE - 3 - DevOps

Responsibilities:
Design, deploy, and manage scalable cloud infrastructure on GCP or AWS.
Build and maintain secure, reliable CI/CD pipelines to streamline application deployments.
Manage and optimise Kubernetes clusters for high availability and performance.
Develop automation scripts and operational tools using Python.
Implement infrastructure monitoring, logging, metrics, dashboards, and distributed tracing.
Collaborate with development teams to improve deployment processes, reliability, and system scalability.
Ensure cloud infrastructure follows security best practices, including IAM, Secrets Management, RBAC, and container security.
Implement autoscaling strategies using HPA, Cluster Autoscaler, or KEDA.
Troubleshoot production issues and drive continuous improvements in platform reliability and performance.
Requirements:
Hands-on experience in DevOps, cloud engineering, or site reliability engineering.
Strong hands-on experience with Kubernetes.
Experience working with GCP (preferred) or AWS cloud platforms.
Strong understanding of CI/CD architecture and cloud-native infrastructure.
Proficiency in Python for automation and scripting.
Experience with monitoring and observability tools for logs, metrics, dashboards, and tracing.
Knowledge of Prometheus, Grafana, or New Relic.
Strong understanding of IAM, Secrets Management, RBAC, and container security.
Experience with autoscaling technologies such as HPA, Cluster Autoscaler, or KEDA.
Exposure to event-driven architecture, cloud architecture design, SOC2 compliance, FinOps, or AI/LLM infrastructure and GPU workloads is a plus.

Experience
5-9 yrs