Lead Traffic Platform Engineer

Nubank; Durham (NC); Hybrid; USD 15,360 - 23,040; Full time

Benefits offered by this job

Opportunity of earning equity at Nu

Medical Insurance

Dental and Vision Insurance

Life Insurance and AD&D

Extended maternity and paternity leaves

Nucleo - Our learning platform of courses

NuLanguage - Our language learning program

NuCare - Our mental health and wellness assistance program

401K

Saving Plans - Health Saving Account and Flexible Spending Account

Work-from-home Allowance

Relocation Assistance Package, if applicable.

Job summary

Nubank is seeking a professional for their Traffic Management team in Durham, NC. This role involves leading the reliability and scalability of our critical traffic platform, collaborating with various teams to deliver effective solutions while actively driving incidents to stabilize processes.

The ideal candidate should have experience with distributed systems and Kubernetes, alongside a proactive approach to using AI tools in their daily engineering workflow. This position follows a hybrid work model, requiring in-office presence 2-3 times a week to maximize team synergy.

Qualifications

• Hands-on experience with large-scale cloud systems.
• Experience managing Kubernetes-based infrastructure.
• Led infrastructure projects end-to-end from design to production.

Responsibilities

• Lead end-to-end milestones on the traffic platform.
• Collaborate with product and partner teams on technical plans.
• React quickly to incidents and drive follow-ups.

Skills

Distributed systems

Kubernetes

AI tools

Infrastructure as Code

AWS Networking

Istio or other service-mesh technologies

Tools

Pulumi

Terraform

Job description

Nubank is seeking a professional for their Traffic Management team in Durham, NC. This role involves leading the reliability and scalability of our critical traffic platform, collaborating with various teams to deliver effective solutions while actively driving incidents to stabilize processes.

The ideal candidate should have experience with distributed systems and Kubernetes, alongside a proactive approach to using AI tools in their daily engineering workflow. This position follows a hybrid work model, requiring in-office presence 2-3 times a week to maximize team synergy.