# Lead, Platform Engineer (Network Site Reliability Engineering)

**Company**: Mastercard
**Location**: Kuala Lumpur, Malaysia
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Kuala-Lumpur-Malaysia/Lead--Platform-Engineer--Network-Site-Reliability-Engineering-_R-293373?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_acec9820-36b

## Description

Mastercard is seeking a Lead, Platform Engineer (Network Site Reliability Engineering) to improve the availability, scalability, security, and operability of global network services.

The role combines deep networking knowledge with software engineering, AI-assisted operations, infrastructure automation, and modern delivery practices to reduce manual effort, prevent incidents, and accelerate safe change.

Key Responsibilities:

- Lead reliability engineering for network services by identifying systemic risks, recurring failure modes, capacity constraints, and opportunities to improve resilience.

- Design and deliver network automation using Python, APIs, infrastructure-as-code, configuration-as-code, and event-driven workflows.

- Build and improve CI/CD pipelines for network changes, including linting, unit and integration tests, policy validation, security checks, approvals, staged deployment, rollback, and post-change verification.

- Create automated pre-change and post-change testing to validate reachability, routing, configuration intent, telemetry, performance, and service health.

- Apply AI-assisted operations to anomaly detection, incident correlation, troubleshooting, knowledge retrieval, change-risk analysis, and remediation recommendations while maintaining security, auditability, and human control.

- Develop reusable network data models, source-of-truth integrations, templates, and automation libraries that reduce configuration drift and improve consistency across environments.

- Advance network observability through high-quality metrics, logs, traces, flow data, synthetic tests, topology context, service-level indicators, dashboards, and actionable alerting.

- Partner with Network Engineering and Operations to embed reliability, testability, telemetry, and automation requirements into platform roadmaps and operational readiness reviews.

- Improve developer and operator experience through self-service workflows, documented golden paths, runbooks, and safe automation that reduces dependency on individual experts.

- Mentor engineers in network reliability, software engineering, CI/CD, automation testing, observability, and responsible use of AI.

- Evaluate emerging network, automation, and AI technologies and translate relevant capabilities into practical reliability improvements.

All about You:

- Strong experience designing, operating, troubleshooting, or supporting large-scale production networks.

- Deep understanding of core networking concepts and protocols, including TCP/IP, routing, switching, DNS, NAT, load balancing, network security, and high-availability design.

- Hands-on programming or scripting experience with Python, Go, Bash, or a similar language, including API integration and structured data formats such as JSON or YAML.

- Experience with network automation or infrastructure-as-code tools and practices, such as Ansible, Terraform, Git-based workflows, templating, or vendor APIs.

- Experience with observability platforms and the practical use of telemetry to detect, diagnose, and prevent reliability issues.

- Background in Site Reliability Engineering, platform engineering, DevOps, network engineering, or infrastructure operations.

- Demonstrated ability to lead cross-team technical initiatives, communicate clearly with engineering and operations stakeholders, and drive durable improvements.

- Experience applying AI, machine learning, or large language models to operational use cases such as anomaly detection, event correlation, knowledge search, incident assistance, or change-risk analysis.

Preferred Qualifications:

- Experience with network test and validation frameworks, digital twins, lab automation, synthetic monitoring, or intent-based networking.

- Knowledge of cloud networking, containers, Kubernetes networking, service mesh, software-defined networking, or network virtualization.

- Experience defining service-level indicators, service-level objectives, error budgets, capacity models, and reliability metrics for network services.

## Skills

### Required
- Python
- API integration
- JSON
- YAML
- Ansible
- Terraform
- Git-based workflows
- TCP/IP
- routing
- switching
- DNS
- NAT
- load balancing
- network security
- high-availability design
- Site Reliability Engineering
- platform engineering
- DevOps
- network engineering
- infrastructure operations

### Nice to have
- network test and validation frameworks
- digital twins
- lab automation
- synthetic monitoring
- intent-based networking
- cloud networking
- containers
- Kubernetes networking
- service mesh
- software-defined networking
- network virtualization

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Source: [Apply at mastercard.wd1.myworkdayjobs.com](https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Kuala-Lumpur-Malaysia/Lead--Platform-Engineer--Network-Site-Reliability-Engineering-_R-293373?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)