Staff Engineer

Location: 5 on-site days a week in Sunnyvale, CA Headquarters.

Our Team's Vision:

Our Engineering team is driven by a culture that thrives on visionary leadership, autonomy, and ownership, creating a dynamic synergy that drives us forward in the ever-evolving landscape of cybersecurity.

When you join our team, you become part of the leader in Zero Trust Segmentation. You'll work with a cutting-edge technology stack that spans operating systems, distributed applications, and immersive UI/visualization tools.

We're shaping the future of cybersecurity. And together, we will continue to build world-class products—led by people with different perspectives, backgrounds, and a commitment to innovation in a time when the world faces its greatest cybersecurity threats in history.

Your Impact:

We're looking for a Software Engineer to join the CloudSecure team and help deliver enterprise-grade cloud security at scale. You'll own quality across a multi-cloud micro-segmentation platform that protects workloads on AWS, Azure, and GCP—working across the full stack from cloud synchronization and policy computation to APIs, UI, distributed services, and large-scale infrastructure.

This role goes beyond functional testing. You'll build automation, validate performance and scalability at enterprise scale, improve release confidence, and ensure the platform remains resilient under real-world production conditions.

• Product Quality & Automation (50%)

• Design and execute comprehensive functional, integration, and end-to-end test strategies for CloudSecure features

• Build and maintain scalable API, UI, and end-to-end automation frameworks

• Validate cloud security workflows including resource discovery, policy computation, flow ingestion, visualization, and compliance across AWS, Azure, and GCP

• Partner with engineering and product teams to define acceptance criteria, improve testability, and drive shift-left quality practices

• Own defect triage, root cause analysis, and release readiness for your feature areas

• Quality Engineering & Infrastructure (50%)

• Design and execute large-scale performance and scalability tests simulating enterprise customer environments

• Thousands of workloads

• Hundreds of VPCs/VNETs

• Millions of flow records

• Large policy and inventory datasets

• Build automated performance benchmarks and regression suites to detect latency, throughput, and resource utilization regressions

• Validate system behavior under stress, peak load, and long-running endurance scenarios

• Design and execute chaos engineering experiments including:

• Database failovers

• Kafka failures and lag

• Network partitions

• Cloud API throttling

• Pod failures and OOM scenarios

• Validate graceful degradation, fault tolerance, recovery, and high availability across distributed services

• Own quality gates within CI/CD and continuously improve automation reliability, execution time, and release confidence

• Drive cross-module integration testing across User Console, CloudSecure services, Policy Compute Engine, and supporting platform services

• Develop tooling that enables developers to self-serve test environments, test data, and automation execution

Your Toolkit:

• Bachelor’s in computer science or equivalent degree. Master’s degree a plus

• 9+ years building automation for SaaS or cloud-native distributed systems

• Strong programming skills in Python, Go, JavaScript, or similar

• Hands-on experience with automation frameworks such as Cypress, Playwright, Pytest, or equivalent

• Experience designing automation for APIs, UI, and distributed microservices

• Hands-on experience with AWS, Azure, or GCP, including networking and security constructs (VPCs, VNets, Security Groups, Firewalls, IAM)

• Experience with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or similar)

• Strong understanding of distributed systems, REST APIs, Kubernetes, and cloud-native architectures

• Ability to debug application code and work closely with developers to identify root causes—not just report failures

Nice to Have:

• Experience with performance and load testing tools such as k6, Locust, JMeter, or Gatling

• Experience profiling application performance and identifying bottlenecks across distributed systems

• Familiarity with observability platforms (Grafana, Prometheus, Datadog, OpenTelemetry)

• Experience with chaos engineering tools such as Litmus, Gremlin, or Chaos Monkey

• Experience with Kubernetes, Docker, and Terraform

• Understanding of network security, segmentation, firewall policies, and cloud networking

• Experience testing enterprise-scale multi-tenant SaaS platforms

This position involves access to software/technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant’s capacity to serve in compliance with U.S. export controls.

#LI-KD1 #LI-ONSITE

Our Commitment