Cloud Engineer (L2)

JOB DESCRIPTION Cloud Engineer (L2) RFP | 18x7 AWS & Azure Managed NOC ROLE PURPOSE ENGAGEMENT CONTEXT Provide L2 technical operations and advanced troubleshooting for AWS and Azure, supporting diagnosis, remediation, performance, capacity and operational improvement. multi-business-unit cloud environment with AWS and Azure workloads; 18x7 managed operations; customer monitoring/ITSM ecosystem; ITIL-aligned governance, automation and continuous improvement. Key Responsibilities · Troubleshoot AWS/Azure compute, networking, storage, databases, IAM, load balancing and backup. · Analyze Datadog, CloudWatch and Azure Monitor metrics, logs, traces and event history. · Execute approved remediation and automation within change/risk controls. · Support incident, problem and change management, including RCA inputs. · Tune monitoring and recommend changes to reduce false positives and alert noise. · Perform capacity, performance and availability reviews and identify optimization opportunities. · Support patching, maintenance and operational readiness. · Maintain technical runbooks, SOPs, known-error records and knowledge articles. · Participate in major incidents and cross-domain technical bridges. Must-Have Technical & Operational Skills · 4–7 years cloud/infrastructure operations with L2 troubleshooting. · Strong AWS and Azure core-services knowledge. · Cloud networking: VPC/VNet, routing, security groups/NSGs and load balancers. · Compute, storage, backup, database and IAM operations. · Datadog, CloudWatch and Azure Monitor experience. · Troubleshooting from metrics, logs, traces and events. · ITIL-aligned Incident, Problem, Change and Major Incident knowledge. · PowerShell, Python, Bash or equivalent scripting. · Ability to support rotational 18x7 operations. Nice-to-Have Skills · AWS Associate and/or Azure Administrator/Engineer certification. · Terraform/IaC. · Serverless services such as Lambda, API Gateway and managed databases. · FinOps/cost optimization and rightsizing. · Event-driven automation/auto-remediation. · Experience in customer-facing or regulated environments. Working Model · Operate within defined governance, security, access-control, change and escalation procedures. · Maintain accurate operational documentation, handover records and knowledge assets.