Staff Engineer

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.

Responsibilities

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

Requirements

Bachelor’s in computer science or equivalent degree; 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

Master’s degree; 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