Lead Software Engineer, Cloud Site Reliability (SRE)

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.

Responsibilities

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.

Qualifications

• 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.