Build automation and quality infrastructure for a multi-cloud micro-segmentation platform. The role owns functional, integration, performance, scalability, and chaos testing across distributed services, requiring 3+ years of cloud-native automation experience and strong programming skills.
170k – 196k/yr
On-site5+ YOEQA Engineering
About the role
Responsibilities
Product Quality & Automation
Design and execute 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 feature areas.
Quality Engineering & Infrastructure
Design and execute large-scale performance and scalability tests simulating enterprise customer environments, including thousands of workloads, hundreds of VPCs/VNETs, millions of flow records, and 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 involving database failovers, Kafka failures and lag, network partitions, cloud API throttling, pod failures, and out-of-memory 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 degree in computer science or an equivalent degree; master’s degree is a plus.
3+ years building automation for SaaS or cloud-native distributed systems.
Strong programming skills in Python, Go, JavaScript, or a similar language.
Hands-on experience with Cypress, Playwright, Pytest, or equivalent automation frameworks.
Experience designing automation for APIs, UIs, and distributed microservices.
Hands-on experience with AWS, Azure, or GCP, including networking and security constructs such as VPCs, VNets, security groups, firewalls, and IAM.
Experience with CI/CD pipelines such as Jenkins, GitHub Actions, or GitLab CI.
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.
Nice-to-Haves
Experience with k6, Locust, JMeter, or Gatling.
Experience profiling application performance and identifying bottlenecks across distributed systems.
Familiarity with Grafana, Prometheus, Datadog, or OpenTelemetry.
Experience with Litmus, Gremlin, Chaos Monkey, or other chaos engineering tools.
Experience with Kubernetes, Docker, and Terraform.
Understanding of network security, segmentation, firewall policies, and cloud networking.
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