Senior Member of Technical Staff

• 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
• 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

Benefits

• Health and Dependent Savings Accounts
• Life and Disability Programs
• Paid Parental Leave
• Voluntary Benefit Programs
• Company Sponsored Wellness Program
• Wellness Reimbursement Program
• Retirement Savings
• Equity Opportunities
• Paid time off and Paid Holidays
• Employee Incentive Program
• Medical, Dental, Vision Coverage

• Hands-on experience with automation frameworks such as Cypress, Playwright, Pytest, or equivalent
• Strong understanding of distributed systems, REST APIs, Kubernetes, and cloud-native architectures
• Bachelor’s in computer science or equivalent degree. Master’s degree a plus
• 3+ years building automation for SaaS or cloud-native distributed systems
• Ability to debug application code and work closely with developers to identify root causes—not just report failures
• Hands-on experience with AWS, Azure, or GCP, including networking and security constructs (VPCs, VNets, Security Groups, Firewalls, IAM)
• Strong programming skills in Python, Go, JavaScript, or similar
• Experience designing automation for APIs, UI, and distributed microservices
• Experience with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or similar)
• Experience testing enterprise-scale multi-tenant SaaS platforms
• Experience with Kubernetes, Docker, and Terraform
• Understanding of network security, segmentation, firewall policies, and cloud networking
• Familiarity with observability platforms (Grafana, Prometheus, Datadog, OpenTelemetry)
• Experience with chaos engineering tools such as Litmus, Gremlin, or Chaos Monkey
• Experience profiling application performance and identifying bottlenecks across distributed systems
• Experience with performance and load testing tools such as k6, Locust, JMeter, or Gatling