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
Lead Network Engineer
Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Overview The Global Network Engineering team (GNE) is looking for a Lead Platform Engineer to join their global M&A team that are responsible to architect, design, support and intergrate acquisitions.
Role: In this position, you will: • To design, implement, manage & maintain Mastercard’s Global Network which includes Datacenter, Customer, and Corporate Networks across a diverse range of platforms • Translate Network designs to implementation plans with associated change control(s) • Engagement with stakeholders including impacted end users & other technology areas to manage upcoming change • Act as an escalation point for Operations in the resolution of incidents • Support Architecture teams in the development of new technologies with high & low level designs • Comply with current standards & best practice • Support internal & external audit processes • Evaluate & support the adoption of new infrastructure & technologies to meet business requirements • Hybrid working with 3 days in the office
What we offer
- Hybrid working with 3 days in the office
All About You
The ideal candidate for this position should: • Network engineering, design, operations, and/or architecture expertise with exposure to the following areas: Load Balancing, LAN/WAN, layer 7 firewalls, QoS, automation, AWS, Azure, GCP, Routing & Switching technologies while adhering to standard design methodologies and best practices • Firewall experience: Palo Alto, Checkpoint • Routing & Switching: Cisco, Arista • SASE experience: Prisma Access, Zscaler • Load Balancing: F5 LTM, ASM, GLSB, NGINX+ • Extensive knowledge of Network diagnostics, protocols, and disciplines, VxLAN, EVPN, BGP, OSPF, SNMP, VPN, SSH, and MPLS technologies. • Knowledge of security and encryption technologies including IPSEC & GRE tunnels on routers and firewalls, • Woking knowledge of scripting tools such as git, bash, Ansible, Jenkins, Terraform, PowerShell, Python. • Mastery of TCP/IP protocol communications and application layer • Deep Packet inspection & analysis using tools like Wireshark • Expert knowledge in PKI, DNS and certificates • Experience in Azure, AWS and GCP
Desirable or additional capabilities
• Strong verbal & written communications skills, and excellent customer support capabilities • Self-motivated demonstrating strong organizational and listening skills; and very detail oriented with the ability to carry out assigned tasks with minimal supervision • Ability to consistently act in a professional manner and communicate with all levels of the organization, both internally and externally • Methodical problem resolving skills and mastery of developing high level and detailed network designs; solid web applications and technologies a plus; Cisco certifications such as CCNP, CCDP or CCIE • Design, engineer, and implementation of Software Defined Networking. • Bachelor’s degree in computer science, Math, Engineering or equivalent combination of education and experience
