Lead Software Engineer, Cloud Site Reliability (SRE)
Pune · Staff/Principal
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Job description
CloudOps team is responsible for availability, reliability, performance, monitoring, emergency response, and capacity planning of Icertis SaaS applications and related services. CloudOps executes infra & access provisioning, upgrades, deployments, and change management to drive faster time to market. This team plays a critical role in building and executing the cloud strategy for the company, driving architectural improvements to enhance scalability and optimize overall cost.
Lead and execute large-scale site reliability engineering initiatives to improve performance, reliability, and scalability in Azure, AWS, and GCP environments.
- Implement and manage Azure AKS, AWS ECS/EKS environments, Kubernetes, and Docker-based container management platforms for mission-critical applications.
- Build automation and operational workflows using cloud-native capabilities for provisioning, scaling, monitoring, and self-healing systems.
- Collaborate with engineering teams to design and deploy cloud-native, containerized applications with robust CI/CD pipelines.
- Drive early detection and prevention of incidents through improved telemetry, monitoring, and automated recovery mechanisms.
- Work closely with cloud providers to optimize offerings and leverage new features for reliability and cost efficiency.
- Mentor and guide junior engineers in best practices for SRE, Kubernetes management, and automation.
- 8–12 years of experience in Cloud Operations / SRE roles in mission-critical, 24x7 SaaS environments.
- Strong hands-on experience with Azure Kubernetes Service (AKS), AWS ECS/EKS, Kubernetes, Docker, and container lifecycle management.
- Proficiency in creating infrastructure automation using cloud-native tools, Helm charts, ARM templates, Terraform, or similar IaC frameworks.
- Strong understanding of cloud compute, storage, networking, and container orchestration concepts.
- Scripting skills in PowerShell, Python, Bash, or similar languages.
- Experience with CI/CD pipelines, monitoring solutions (Prometheus, Grafana, Azure Monitor), and log management systems.
- Proven expertise in cloud operations, SRE/DevOps practices, automation (IaC/CI-CD), observability, and AIOps leveraging AI/ML for predictive monitoring, incident correlation, anomaly detection, and self-healing in cloud-native environments
- Excellent problem-solving, communication, and collaboration skills.
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