Sr. Software Engineer - Cloud Networking

Overview

Sr. Software Engineer for Cloud Networking, focused on improving cloud infrastructure operations through Infrastructure as Code, monitoring/observability, and network observability for cloud-native systems.

What you'll do

• Collaborate with development teams to enhance cloud service management so they can deploy, monitor, and maintain services independently.
• Implement monitoring and observability solutions for real-time infrastructure health insights.
• Join a shared On-Call rotation to support critical infrastructure incidents and cloud networking escalations.
• Design and implement network observability for end-to-end traffic visibility across cloud networking components.
• Partner with technical leaders on the infrastructure roadmap to strengthen infrastructure security using automation.
• Develop reusable Infrastructure as Code workflows deployed via CI/CD.
• Advocate for cloud cost optimization and efficient resource utilization.

What you'll need

• 7+ years of experience designing and operating scalable, resilient cloud-native systems.
• Deep expertise in public cloud networking (AWS/GCP) including VPC design, peering, routing, NAT gateways, and service endpoints.
• Developer skills in Python, Java, or Go for integrating and visualizing data for decision-making.
• Experience managing and debugging traffic flows between Kubernetes workloads and cloud-managed services, including service discovery, DNS, and overlay networks.
• Proven ability to architect network mapping/visualization solutions (e.g., Istio telemetry or custom Grafana dashboards).
• Hands-on experience using cloud-native services in large-scale environments with AWS/GCP using Infrastructure-as-Code (Terraform) and other CI/CD tools.
• Experience with monitoring/alerting tools including Grafana, Prometheus, and/or Datadog.
• Experience creating infrastructure using CI/CD workflows; GitLab experience desired.
• Excellent written and verbal communication skills.
• B.S. or M.S. degree in Computer Science, Engineering, or equivalent.

Details

• Hybrid work approach: teams generally work in the office Monday through Thursday, with Friday generally flexible for remote work.