Key Responsibilities
Design, implement, and optimize highly available cloud infrastructure for enterprise SaaS and PaaS platforms.
Build and enhance CI/CD pipelines, deployment automation, and operational workflows.
Develop Infrastructure as Code (IaC) solutions using Terraform and automation tools.
Collaborate with engineering and operations teams to ensure scalability, reliability, and production readiness.
Participate in architecture reviews to improve resiliency, security, and infrastructure standards.
Lead infrastructure and DevSecOps initiatives from Proof of Concept through production deployment.
Manage Kubernetes-based container platforms (GKE/EKS/AKS) and cloud-native environments.
Implement observability solutions using ELK, Grafana, monitoring, alerting, and logging tools.
Troubleshoot production issues, perform root cause analysis, improve automation, and drive operational excellence.
Qualifications and Experience
Bachelor’s degree in Engineering, Computer Science, Information Technology, or related field.
8+ years of experience in SRE, DevOps, Cloud Infrastructure, or Platform Engineering roles.
Strong experience deploying and managing enterprise-scale cloud infrastructure, preferably on GCP.
Hands-on expertise with Terraform and Infrastructure as Code (IaC) automation. Experience with CI/CD tools and automation frameworks including Jenkins and Groovy.
Strong Linux/Unix administration and troubleshooting experience.
Proficiency in scripting/programming languages such as Shell, Python, Perl, JavaScript, or Golang.
Hands-on experience managing Kubernetes clusters including GKE, EKS, and AKS.
Strong understanding of public cloud platforms including AWS, GCP, and Azure, with deep expertise in GCP.
Experience with Docker containers and cloud-native technologies. Experience with databases and distributed platforms such as PostgreSQL and MySQL. Familiarity with observability and monitoring tools including ELK, Grafana, and Prometheus.
Experience with WAF, CloudArmor, NGINX, Apache, Tomcat, JBoss, and REST-based services. Strong analytical, troubleshooting, automation, DevSecOps, reliability engineering, collaboration, and operational excellence skills in large-scale SaaS environments. Knowledge of AI/ML-driven operations (AIOps), intelligent alerting, predictive monitoring, anomaly detection, automation using AI tools, and leveraging GenAI solutions to improve operational efficiency, incident response, and infrastructure reliability.