We are looking for a detail-oriented and technically skilled Senior QA Engineer to join our engineering team and help ensure the quality, reliability, and security of our product.
In this role, you will own the quality of complex cybersecurity features from design through production, working closely with developers, product managers, and automation engineers. You will play a key role in defining test strategies, identifying risks early, and ensuring high-quality releases.
As part of your daily workflow, you will leverage AI-powered tools to improve test planning, discover edge cases, investigate defects, analyze logs, and enhance overall testing efficiency.
The Responsibilities:
Own the automation domain end-to-end: strategy, architecture, implementation, and continuous improvement
Design, build, and maintain scalable test automation frameworks across UI, API, integration, and system layers
Develop hands-on automation code in Python and/or TypeScript
Drive quality standards across engineering teams, partnering closely with developers, QA, DevOps, and product stakeholders
Define and implement automation best practices for reliability, scalability, maintainability, and fast feedback
Integrate and optimize automation within CI/CD pipelines to enable rapid, confident releases
Test complex SaaS, cloud, and cyber-related product flows, including security-sensitive scenarios, permissions, integrations, and system behavior
Use AI tools to support automation development, test generation, debugging, log analysis, documentation, and coverage improvement
Proactively identify coverage gaps and improve system testability, observability, and debuggability
Participate in system design and feature planning to embed quality from the earliest stages
Build and evolve testing environments using scripting, infrastructure-as-code, and cloud-native tools
Mentor and guide engineers, elevating automation standards across the organization
In this role, you will own the quality of complex cybersecurity features from design through production, working closely with developers, product managers, and automation engineers. You will play a key role in defining test strategies, identifying risks early, and ensuring high-quality releases.
As part of your daily workflow, you will leverage AI-powered tools to improve test planning, discover edge cases, investigate defects, analyze logs, and enhance overall testing efficiency.
The Responsibilities:
Own the automation domain end-to-end: strategy, architecture, implementation, and continuous improvement
Design, build, and maintain scalable test automation frameworks across UI, API, integration, and system layers
Develop hands-on automation code in Python and/or TypeScript
Drive quality standards across engineering teams, partnering closely with developers, QA, DevOps, and product stakeholders
Define and implement automation best practices for reliability, scalability, maintainability, and fast feedback
Integrate and optimize automation within CI/CD pipelines to enable rapid, confident releases
Test complex SaaS, cloud, and cyber-related product flows, including security-sensitive scenarios, permissions, integrations, and system behavior
Use AI tools to support automation development, test generation, debugging, log analysis, documentation, and coverage improvement
Proactively identify coverage gaps and improve system testability, observability, and debuggability
Participate in system design and feature planning to embed quality from the earliest stages
Build and evolve testing environments using scripting, infrastructure-as-code, and cloud-native tools
Mentor and guide engineers, elevating automation standards across the organization
Requirements:
5+ years of hands-on experience in test automation, including ownership of frameworks or large-scale automation systems
Strong programming skills in Python and/or TypeScript, with solid software engineering fundamentals
Proven experience designing, building, and scaling automation frameworks such as Pytest, Playwright, or Selenium
Deep understanding of CI/CD workflows and test integration, using tools such as Jenkins or GitHub Actions
Experience testing distributed, cloud-based SaaS systems on AWS, GCP, or Azure
Strong debugging, problem-solving, and system-level thinking
Hands-on experience with Linux environments and shell scripting
Experience working with logs, monitoring, and technical investigation of system failures
Comfortable using AI tools as part of the daily development and automation workflow
Understanding of cybersecurity concepts, security-sensitive flows, or cloud security environments
Excellent communication skills, with the ability to influence technical decisions and drive quality initiatives across teams
Nice to Have :
Experience working on cybersecurity products, security platforms, or detection/response systems
Experience with AI-driven development tools, agentic workflows, or Model Context Protocol (MCP)
Experience with containerization and infrastructure-as-code tools such as Docker, Terraform, or Ansible
Familiarity with Kubernetes and distributed system architectures
Experience working with databases such as SQL, MongoDB, Redis, or Neo4j
Experience with message queues such as RabbitMQ
Experience in performance, load, reliability, or resilience testing
Experience improving observability, logging, and alerting for test and production-like environments
5+ years of hands-on experience in test automation, including ownership of frameworks or large-scale automation systems
Strong programming skills in Python and/or TypeScript, with solid software engineering fundamentals
Proven experience designing, building, and scaling automation frameworks such as Pytest, Playwright, or Selenium
Deep understanding of CI/CD workflows and test integration, using tools such as Jenkins or GitHub Actions
Experience testing distributed, cloud-based SaaS systems on AWS, GCP, or Azure
Strong debugging, problem-solving, and system-level thinking
Hands-on experience with Linux environments and shell scripting
Experience working with logs, monitoring, and technical investigation of system failures
Comfortable using AI tools as part of the daily development and automation workflow
Understanding of cybersecurity concepts, security-sensitive flows, or cloud security environments
Excellent communication skills, with the ability to influence technical decisions and drive quality initiatives across teams
Nice to Have :
Experience working on cybersecurity products, security platforms, or detection/response systems
Experience with AI-driven development tools, agentic workflows, or Model Context Protocol (MCP)
Experience with containerization and infrastructure-as-code tools such as Docker, Terraform, or Ansible
Familiarity with Kubernetes and distributed system architectures
Experience working with databases such as SQL, MongoDB, Redis, or Neo4j
Experience with message queues such as RabbitMQ
Experience in performance, load, reliability, or resilience testing
Experience improving observability, logging, and alerting for test and production-like environments
This position is open to all candidates.
