Senior Enterprise Operations Engineer-2

 Cloud Operations & Platform Reliability (SRE Focus)
• Take ownership of production cloud platform stability, availability, performance, and reliability.
• Lead complex incident triage, deep troubleshooting, and resolution across cloud and container platforms.
• Implement SRE best practices such as SLIs, SLOs, SLAs, error budgets, and resilience engineering.
• Drive root cause analysis (RCA) and eliminate recurring failures through engineering solutions.
2. CI/CD Pipeline Support & DevOps Enablement
• Provide advanced troubleshooting for CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, Azure DevOps, AWS CodePipeline).
• Diagnose and resolve pipeline failures related to infrastructure, container builds, artifact storage, security scanning, and deployment orchestration.
• Enable self-service pipelines, progressive delivery, canary deployments, and rollback automation.
• Collaborate with engineering teams to improve deployment velocity, quality, and reliability.
3. Multi-Cloud Engineering & Kubernetes Operations
• Operate and support large-scale AWS, Azure, and hybrid cloud platforms.
• Perform advanced Kubernetes operations including:
• Cluster management
• Node scaling
• Networking troubleshooting
• Pod failures
• Storage & ingress debugging
• Manage cloud networking, compute, storage, IAM, load balancing, and security services.
4. Observability, AIOps & Intelligent Operations
• Operate and enhance enterprise observability platforms across metrics, logs, traces, and events.
• Implement AIOps-driven alert correlation, noise reduction, anomaly detection, and predictive analytics.
• Build automated remediation workflows and self-healing systems.
• Drive MTTR reduction through automation-first operations.
5. Security Operations & DevSecOps
• Provide cloud security incident triage and remediation.
• Implement DevSecOps automation for vulnerability scanning, compliance checks, and policy enforcement.
• Support cloud security posture management (CSPM), IAM governance, secrets management, and certificate lifecycle management.
6. Automation, Infrastructure as Code & Engineering Excellence
• Build and maintain infrastructure as code (IaC) using Terraform, CloudFormation, ARM, and Bicep.
• Develop automation scripts and tools using Python, Bash, PowerShell, and Go.
• Implement event-driven automation and auto-healing frameworks.
7. ITSM, Incident, Change & Problem Management
• Serve as the technical escalation point for L1 teams.
• Lead incident management, problem management, and change governance using ITIL best practices.
• Maintain high-quality SOPs, runbooks, and knowledge articles.
Mandatory Qualifications & Certifications (Strict Requirement)
Candidates must hold at least two of the following certifications:
• Certified Kubernetes Administrator (CKA)
• AWS Certified Solutions Architect – Associate
• AWS DevOps Engineer – Professional / SysOps Administrator – Associate
• Microsoft Azure Solutions Architect Expert
• Azure DevOps Engineer Expert
Candidates without minimum two active certifications will not be considered.
Required Technical Skills
Cloud & Platform
• AWS: EC2, EKS, VPC, IAM, ALB/NLB, S3, RDS, CloudWatch, Lambda
• Azure: AKS, VNET, IAM (Entra), Load Balancer, App Services, Monitor
• Multi-cloud architecture & operations
Kubernetes & Containers
• Kubernetes (EKS, AKS, OpenShift)
• Helm, Kustomize, ArgoCD, Flux
• Docker, container build pipelines
• Service mesh (Istio / Linkerd – good to have)
CI/CD & DevOps Toolchain
• Jenkins, GitHub Actions, GitLab CI, Azure DevOps
• Terraform, CloudFormation, ARM/Bicep
• Artifact management: Nexus, Artifactory
• GitOps workflows
Observability & AIOps
• Dynatrace, Datadog, Prometheus, Grafana, Splunk, ELK
• Event correlation, anomaly detection, predictive analytics
• AIOps platforms & auto-remediation frameworks
Security & Compliance
• IAM, secrets management, PKI & certificates
• CSPM: Prisma Cloud, Wiz, Defender
• Security incident response
• Vulnerability scanning & remediation
Scripting & Automation
• Python, Bash, PowerShell, Go (any two)
• REST APIs, event-driven automation
• Serverless automat