דרושים » אבטחת איכות QA » QA Automation Engineer

Company Overview: our company mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. our company's AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on our companys digital forensic and investigative solutionsavailable via cloud, on-premises and hybrid deploymentsto close cases faster and safeguard communities. 
Position Overview: We are looking for a Senior Performance Engineer to design, implement, and scale performance and automation testing practices across our platform. This is a highly technical and hands-on role that requires deep expertise in AWS services (including Lambda, EKS, and S3), infrastructure-as-code (Terraform, Helm), and modern automation and performance testing tools. The ideal candidate has strong experience in TEST automation and performance engineering, with the ability to work closely with R&D, DevOps, and QA teams to define TEST levels, identify bottlenecks, and ensure system -wide resilience and scalability. A strong can-do approach, deep understanding of microservices, and the ability to see the big picture while driving execution are essential for success in this role.
Responsibilities:
* Contribute to the design and evolution of end-to-end TEST automation and performance strategy for complex distributed systems.
* Implement scalable automation frameworks for UI, API, and integration testing using modern tools (e.g., Selenium, Cypress, Playwright).
* Lead performance testing initiatives using tools like JMeter, k6, Gatling, and troubleshoot system bottlenecks.
* Integrate automation and performance tests into CI/CD pipelines using GitHub Actions, Jenkins, or equivalent.
* Work with AWS services (Lambda, EKS, S3, RDS, API Gateway, etc.) and infrastructure-as-code via Terraform and Helm.
* Collaborate with R&D, DevOps, and QA to align on quality goals and adopt best practices across services.
* Define and execute TEST level scenarios (unit, integration, system, performance, chaos).
* Build observability into the testing and performance lifecycle using Grafana, Prometheus, Datadog, etc.
* Ensure high TEST coverage and system -wide visibility into resilience, scalability, and performance.
Office Location:
Petah Tikva

We are looking for a skilled and motivated Software Test Engineer to join our QA team. The role involves designing, writing, and executing test plans and test cases, working closely with development and DevOps teams, and contributing to the overall quality of our products in a dynamic and modern technological environment.


Responsibilities:

* Design, write, and execute manual and automated test plans and test cases.
* Analyze product requirements and define relevant test scenarios.
* Report and track bugs using issue tracking tools.
* Collaborate with development, product, and DevOps teams to ensure high-quality deliverables.
* Participate in testing of distributed systems and CI/CD environments.

Were building foundational infrastructure to secure AI agents including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to modern agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, and beyond.
In your role, you will be responsible for developing and maintaining high-quality work procedures, executing both manual and automated tests, and leading the team to achieve better quality.
This is a rare opportunity to help shape a new security infrastructure layer from the ground up in a team with the agility of a startup and the backing of a mature organization. Youll play a pivotal role in shaping how AI agents operate safely and effectively across real-world enterprise environments.
Responsibilities:
Define the overall testing strategy and tooling stack across integration, regression, and load/performance testing.
Drive an automation-first mindset collaborate with developers to ensure code is testable and observable.
Partner with product and security to define quality gates for features like agent identity, access delegation, and secrets handling.
Lead root-cause analysis for escaped bugs and define improvement actions.
Own CI quality metrics and dashboards (e.g., build stability, test flakiness, regression coverage).
Influence decisions about test environments, mocks, test data, and production parity.
Collaborate with the centralized quality group to push for E2E coverage.

As a senior Automation engineer at our company's R&D department, you will build and maintain the automation test and some of DevOps infrastructure for our automation test environments.
Build and maintain the test automation infrastructure for our company DV pCloud product, ensuring it meets high standards of availability, reliability, and quality.

We are seeking a Technical Program Manager (TPM) to join our centralized Quality & Automation infra-Group. This team is at the forefront of a company-wide transformation toward modern, scalable, and data-driven quality engineering practices tailored to SaaS. The TPM will lead key initiatives focused on unifying tools, frameworks, and processes and improve testability across a large-scale distributed organization.
This role is ideal for someone who thrives in navigating complex ecosystems, aligning stakeholders, and bridging technical and organizational priorities with clarity and impact.
Key Responsibilities
Partner with cross-functional teams (R&D, QA, DevOps, Product) to gather requirements and identify quality gaps across the development lifecycle.
Translate product quality strategy into concrete execution plans, including scoping MVPs and managing proof-of-concepts (POCs) for quality and test automation tooling.
Collaborate closely with quality infrastructure architects and automation infra development teams to design, prioritize and drive adoption of shared quality platforms.
Facilitate alignment and cross-team cooperation for technical initiativesOKRs, roadmaps, reporting, and stakeholder communication.
Drive implementation and technical validation of quality and automation tools within various engineering teams.
Use data analysis to track progress, identify patterns, and surface insights that inform quality strategy and operational decisions.