Senior Enterprise Operations Engineer-2
Indexed description
Job Description
L2 Cloud Operations Engineer – Role Description
We are seeking a highly skilled L2 Cloud Operations Engineer to operate, scale, and continuously improve enterprise-grade multi-cloud platforms. This role combines expertise in cloud engineering, DevOps, SRE, automation, CI/CD troubleshooting, observability, security operations, and AIOps-driven incident management.
You will be responsible for ensuring complex incident resolution, platform reliability, DevOps enablement, Kubernetes operations, automation, and operational excellence across AWS, Azure, and hybrid environments.
Key Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
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 (EKS, AKS, OpenShift)
- Helm, Kustomize, ArgoCD, Flux
- Docker, container build pipelines
- Service mesh (Istio / Linkerd – good to have)
- Jenkins, GitHub Actions, GitLab CI, Azure DevOps
- Terraform, CloudFormation, ARM/Bicep
- Artifact management: Nexus, Artifactory
- GitOps workflows
- Dynatrace, Datadog, Prometheus, Grafana, Splunk, ELK
- Event correlation, anomaly detection, predictive analytics
- AIOps platforms & auto-remediation frameworks
- IAM, secrets management, PKI & certificates
- CSPM: Prisma Cloud, Wiz, Defender
- Security incident response
- Vulnerability scanning & remediation
- Python, Bash, PowerShell, Go (any two)
- REST APIs, event-driven automation
- Serverless automation workflows
- SLIs, SLOs, SLAs
- Error budgets
- Chaos engineering
- Capacity planning & forecasting
- Performance engineering
- Strong problem-solving mindset
- Excellent troubleshooting skills
- High ownership & accountability
- Stakeholder communication
- Ability to work in 24x7 global operations model
- Abide by Mastercard’s security policies and practices;
- Ensure the confidentiality and integrity of the information being accessed;
- Report any suspected information security violation or breach, and
- Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
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