Lead Software Engineer, Cloud Site Reliability (SRE)

Accountabilities: • Lead 24x7 NOC and site reliability operations through rotational shifts, ensuring system availability, operational stability, and adherence to service-level agreements.

• Act as Major Incident Manager for P1 and P2 incidents, coordinating triage activities, war rooms, technical teams, and stakeholder communications through resolution.

• Manage and troubleshoot Azure infrastructure, including virtual machines, networking, storage, and related cloud services.

• Administer Azure Kubernetes Service (AKS), Kubernetes, and Docker environments, including scaling, troubleshooting, performance optimization, and reliability improvements.

• Establish and enhance observability practices across logs, metrics, and traces using platforms such as Datadog and Azure Monitor.

• Drive proactive monitoring, alert optimization, anomaly detection, and AIOps initiatives to identify and address potential reliability issues before they impact users.

• Build automation and self-healing workflows using Terraform, ARM templates, Helm, Power Automate, PowerShell, Python, Bash, and other appropriate technologies.

• Collaborate with engineering teams to strengthen deployment pipelines, improve system reliability, and advance cloud-native architecture and operational practices.

• Develop operational dashboards and reports using Power BI and ServiceNow to provide visibility into incidents, reliability, and service performance.

• Lead monthly business reviews and provide clear operational reporting and insights to leadership and stakeholders.

• Mentor team members, promote knowledge sharing, standardize operational processes, and drive continuous improvements across the reliability function.

• Support broader initiatives involving multi-cloud environments, predictive monitoring, and self-healing systems where appropriate.

Requirements

• 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.

Benefits

• Fully remote opportunity based in India, with a rotational shift structure supporting 24x7 operations.

• Leadership responsibility across cloud reliability, infrastructure operations, incident management, and operational excellence.

• Hands-on exposure to Azure IaaS, AKS, Kubernetes, Docker, Datadog, Azure Monitor, and Infrastructure as Code.

• Opportunity to develop advanced observability, AIOps, predictive monitoring, automation, and self-healing capabilities.

• Collaboration with engineering teams on cloud-native architecture, deployment pipelines, scalability, and reliability initiatives.

• Opportunities to mentor team members and influence operational standards and engineering practices.

• Exposure to multi-cloud technologies and large-scale distributed systems.

• An inclusive work environment focused on teamwork, openness, respect, fairness, and continuous improvement.

• Support for professional development through exposure to modern cloud and reliability technologies and relevant certification paths.

• Opportunities to participate in leadership reporting, business reviews, and cross-functional initiatives with broad organizational visibility.

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