Sr Lead Network Reliability Engineer

About the Role

Coupa Software is a high-growth SaaS company and market leader in the Business Spend Management (BSM) space. We are expanding our Network Reliability Engineering team to help transform and scale our leading cloud platform. As a Sr. Lead Network Development Engineer, you will bring an automation-first approach to architecting solutions for a massive-scale cloud networking infrastructure through code, with a strong sense of service ownership and accountability. Coupa operates an open and autonomous work culture, supporting employees with in-house training and certifications through Coupa University and leading learning partners.

Responsibilities

• Design, deploy, automate, and support network solutions in a massive-scale public cloud environment (AWS/Azure/GCP).
• Work with VM or container-based firewalls (Palo Alto Network Firewall, Fortinet, CheckPoint) and Cloud Native (AWS/Azure/GCP) Firewall solutions.
• Maintain comprehensive knowledge of networks and protocols, including TCP/IP, DNS, BGP, and TLS.
• Provide network support for Kubernetes platforms and workloads in major public cloud providers.
• Develop roadmaps using established public cloud design standards and participate in design reviews.
• Bring a development mindset to manage network infrastructure as code, eliminate toil, and ensure accountability.
• Evaluate, specify, implement, and support network performance, capacity, and availability monitoring tools.
• Grow the global network function by onboarding new engineers and providing technical leadership.
• Stay updated with the latest developments in network infrastructure through peer networking and industry events.
• Participate in an on-call rotation as required.
• Occasional travel to perform job functions.

Requirements

• Degree in Computer Science or equivalent with 10+ years of professional experience, including in an enterprise SaaS organization.
• Expertise in Firewall, VPN, DNS, BGP, and Public Cloud (AWS/Azure/GCP) network constructs (e.g., VPC, Hybrid routing, security groups).
• Experience managing and maintaining a production-facing Kubernetes environment.
• Expertise in Kubernetes networking and CNI implementations; experience with multiple CNIs is a plus.
• Deep understanding of Ingress/Gateway controllers, service discovery, DNS within a cluster, and NetworkPolicy functionality.
• Experience in both data center and cloud environments.
• Proficiency in managing and supporting multiple Linux distributions.
• Coding skills in Golang, Python, Java, Ruby, or equivalent languages.
• Experience deploying cloud network infrastructure using Terraform, CloudFormation, Chef, Ansible, or Spacelift.
• Actively incorporates AI tools and methodologies to drive innovation and streamline workflows.
• Advanced network troubleshooting skills, including packet capture analysis and traffic flow diagnostics.
• Ability to own and deliver projects to resolution with a passion for excellence and problem-solving.
• Solid understanding of networking systems and protocols, particularly in a public cloud environment.
• Desire to work in a collaborative and supportive environment.

Benefits

• Global Well-Being Perks:
  • Two company-wide paid wellness days off annually.
  • Paid day off for your birthday or another day of choice within your birthday month.
  • 40 hours of paid Volunteer Time Off (VTO) annually.
  • Free, confidential 24/7/365 Employee Assistance Program (EAP) for emotional support, work-life solutions, financial advice, legal guidance, and new parent support.
  • Business Travel Protection through Zurich Travel Assist for medical, safety, pre-trip planning, and emergency support during business travel.
  • Referral Bonus Program with monetary bonuses for successful referrals.
• Location-Specific Benefits: Highly competitive packages including comprehensive medical/dental insurance, retirement/pension plans, and life or accident protection, tailored to your primary work location.

Pay

Salary range: $149,000 - $200,000 per year. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state.