Senior Enterprise Operations Engineer-2
Mastercard · Posted Nov 5
Global technology company connecting consumers, financial institutions, merchants, and businesses through secure payment processing and digital commerce solutions
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About the role
Mastercard powers digital payments across 200+ countries, and this role sits within its enterprise operations function supporting enterprise-grade multi-cloud platforms. The position is an L2 Cloud Operations Engineer role spanning cloud engineering, DevOps, SRE, automation, CI/CD troubleshooting, observability, security operations, and AIOps-driven incident management across AWS, Azure, and hybrid environments. The engineer will own complex incident resolution, Kubernetes operations, infrastructure-as-code automation, and platform reliability under a shift-based 24x7 global operations model.
What you will do
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Skills used in this role
What the employer is looking for
- 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.
- 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
Benefits and support
- Compensation and benefits are detailed in the job posting
About Mastercard
Mastercard is a global technology company in the payments industry that connects consumers, financial institutions, merchants, governments, and businesses worldwide. It operates a fast and secure payment processing network that spans more than 200 countries and territories. Through innovative products and solutions in credit, debit, digital assets, and security, Mastercard makes commerce safer, simpler, and more accessible.
- Industry
- Payments
- Company size
- 10001+ employees
- Founded
- 1966
- Location
- Purchase, New York, USA
- Funding stage
- Public Company
Funding
Public Company · $115M raised
Leadership
Chief Executive Officer
Chief Business Officer
President & Chief Technology Officer
Chief People Officer
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