Lead Software Engineer, Cloud Site Reliability (SRE)

This role leads cloud reliability and 24x7 site reliability operations for critical technology environments, with a strong focus on Azure infrastructure and cloud-native platforms. You will take ownership of major incidents, drive operational excellence, and ensure high availability and SLA adherence across production systems. The position combines hands-on cloud engineering with observability, automation, incident management, and reliability improvements. You will work extensively with Azure, AKS, Kubernetes, Docker, Datadog, and infrastructure-as-code technologies to build resilient and scalable environments. The role also provides an opportunity to advance proactive monitoring, anomaly detection, AIOps, and self-healing capabilities. As a technical leader, you will mentor engineers, collaborate with development teams, and communicate operational performance to stakeholders and leadership.

• 7–12 years of professional experience in CloudOps, Site Reliability Engineering, NOC, or comparable 24x7 operations environments.
• Strong hands-on expertise with Azure infrastructure, particularly virtual machines, networking, storage, and related IaaS services.
• Extensive experience with Azure Kubernetes Service (AKS), Kubernetes, and Docker, including troubleshooting, scaling, and performance tuning.
• Strong experience with monitoring and observability platforms such as Datadog and Azure Monitor, including integrations, alerting, dashboards, and operational analysis.
• Proven experience in incident management and major incident handling, including P1/P2 coordination, stakeholder communication, root-cause analysis, and operational reporting.
• Experience with Infrastructure as Code technologies such as Terraform, ARM templates, and Helm.
• Strong scripting capabilities using PowerShell, Python, Bash, or similar automation technologies.
• Experience working with ServiceNow, particularly Incident, Problem, and Change Management modules and associated dashboards.
• Good understanding of distributed systems, cloud-native architectures, and reliability engineering principles.
• Excellent communication, leadership, coordination, and problem-solving skills, with the ability to work effectively across technical and business teams.
• Experience working in multi-cloud environments, particularly Azure and AWS, is a plus.
• Exposure to AIOps, predictive monitoring, anomaly detection, or self-healing systems is desirable.
• Relevant certifications in Azure, Datadog, Kubernetes, or related cloud and reliability technologies are advantageous.
• Bachelor’s degree or equivalent technical education and professional experience.