About the role
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Senior Enterprise Operations Engineer-2
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.
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 automation workflows
SRE Operational Excellence Skills
SLIs, SLOs, SLAs
Error budgets
Chaos engineering
Capacity planning forecasting
Performance engineering
Behavioral Leadership Skills
Strong problem-solving mindset
Excellent troubleshooting skills
High ownership accountability
Stakeholder communication
Ability to work in 24x7 global operations model
Corporate Security Responsibility
- 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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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