Join Mastercard as a Senior Enterprise Operations Engineer (L2 Cloud Operations) and play a crucial role in powering economies and empowering people globally. This position is vital for operating, scaling, and continuously enhancing our enterprise-grade multi-cloud platforms.

You will leverage your expertise in cloud engineering, DevOps, SRE, automation, CI/CD troubleshooting, observability, security operations, and AIOps to ensure platform reliability and drive operational excellence across AWS, Azure, and hybrid environments. This is an opportunity to contribute to a secure, simple, and smart digital payments ecosystem.

Key responsibilities include owning production cloud platform stability, leading complex incident triage and resolution, and implementing SRE best practices. You will also provide advanced troubleshooting for CI/CD pipelines, enable self-service capabilities, and collaborate with engineering teams to enhance deployment velocity.

Further duties involve operating and supporting large-scale multi-cloud platforms, performing advanced Kubernetes operations, and managing cloud networking and security services. Enhancing enterprise observability platforms, implementing AIOps for alert correlation and anomaly detection, and building automated remediation workflows are also essential.

You will handle cloud security incident triage, implement DevSecOps automation, and support cloud security posture management. Building and maintaining infrastructure as code, developing automation scripts, and leading incident and problem management using ITIL best practices are also part of the role. You'll act as a technical escalation point for L1 teams and maintain high-quality operational documentation.

This role demands a strong background in cloud operations, SRE principles, and CI/CD pipeline management. Proficiency in multi-cloud environments (AWS and Azure) and Kubernetes operations is essential.

Required technical skills encompass expertise in AWS services (EC2, EKS, VPC, IAM, etc.) and Azure services (AKS, VNET, IAM, etc.). Experience with containerization tools like Docker, orchestrators like Kubernetes, and GitOps workflows using tools such as ArgoCD or Flux is expected.

Candidates must demonstrate advanced troubleshooting skills for CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps) and infrastructure as code (Terraform, CloudFormation, ARM/Bicep). Proficiency in scripting languages like Python, Bash, PowerShell, or Go is mandatory. Experience with observability platforms (Dynatrace, Datadog, Prometheus, Grafana, Splunk, ELK) and AIOps concepts is highly valued.

Mandatory qualifications include holding 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, or Azure DevOps Engineer Expert. Candidates without these certifications will not be considered.