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We are looking for a Mobile Infrastructure Team Lead to lead the architecture, development, and evolution of our mobile platform foundations.

This role combines technical leadership and hands-on development, with a strong focus on scalability, performance, and developer experience. You will be responsible for setting the technical direction of our mobile infrastructure while leading a team of engineers and working closely with cross-functional stakeholders.



Key Responsibilities
Own the mobile infrastructure domain end-to-end (architecture, tooling, reliability), and drive technical standards and best practices across React Native and native (iOS/Android)
Lead and mentor a team of mobile engineers, fostering high engineering standards, ownership, and a collaborative culture
Design and build scalable mobile infrastructure to support development and deployment
Lead implementations across key areas such as state management (MobX), geolocation, WebView, encryption, backend communication, and performance optimization
Own and evolve CI/CD pipelines, driving automation of build, testing, and deployment processes to ensure fast and stable releases
Partner with Product, Design, QA, and DevOps to align priorities and execution, and act as the main point of contact for mobile infrastructure across R&D

As a QA Engineer at our company, you will play a key role in validating and improving our products, ensuring high quality.
You will join our companys family, as part of our team in Beer-Sheva, collaborating closely with software development teams in an agile and dynamic environment.
Location: Beer Sheva. Hybrid option once a week.
Responsibilities
Design and execute test plans and test cases based on system requirements
Identify, investigate, and report software bugs, while tracking them through resolution
Create and maintain clear test ation and reports
Collaborate with R&D teams to provide QA input throughout the development lifecycle
Communicate risks and quality concerns that may impact future releases.

We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives - building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale.
This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC - from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability.
How will you make an impact?
AI Quality Strategy
Define and lead all AI-augmented quality initiatives across the organization
Deploy LLM-powered test generation, triage, and root-cause analysis tooling
Build frameworks for validating AI/ML model outputs and non-deterministic behaviors
Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents)
Champion responsible AI testing practices, coverage standards, and governance models
Automation Engineering
Own the full automation strategy across UI, API, and integration layers
Architect scalable, maintainable test frameworks
Drive shift-left testing embedded in CI/CD pipelines (Jenkins, GitHub Actions)
Establish coverage KPIs, flakiness SLAs, and automation ROI metrics
Lead adoption of self-healing and AI-assisted test maintenance
Performance Engineering
Lead performance and load testing strategy at enterprise scale
Define SLOs/SLAs and partner with SRE on reliability thresholds
Design continuous performance validation integrated into delivery pipelines
Drive root-cause analysis for regressions, bottlenecks, and latency spikes
Oversee toolchain including k6, JMeter, Gatling, and APM integrations
People & Org Leadership
Lead and grow teams of automation engineers, performance engineers, and architects
Set technical direction, OKRs, and career ladders for the quality engineering org
Hire senior ICs and architect-level talent; build succession depth
Foster a culture of ownership, engineering craft, and continuous learning
Partner cross-functionally with Product, DevOps, and R&D leadership.

We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives - building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale.
This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC - from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability.
How will you make an impact?
AI Quality Strategy
Define and lead all AI-augmented quality initiatives across the organization
Deploy LLM-powered test generation, triage, and root-cause analysis tooling
Build frameworks for validating AI/ML model outputs and non-deterministic behaviors
Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents)
Champion responsible AI testing practices, coverage standards, and governance models
Automation Engineering
Own the full automation strategy across UI, API, and integration layers
Architect scalable, maintainable test frameworks
Drive shift-left testing embedded in CI/CD pipelines (Jenkins, GitHub Actions)
Establish coverage KPIs, flakiness SLAs, and automation ROI metrics
Lead adoption of self-healing and AI-assisted test maintenance
Performance Engineering
Lead performance and load testing strategy at enterprise scale
Define SLOs/SLAs and partner with SRE on reliability thresholds
Design continuous performance validation integrated into delivery pipelines
Drive root-cause analysis for regressions, bottlenecks, and latency spikes
Oversee toolchain including k6, JMeter, Gatling, and APM integrations
People & Org Leadership
Lead and grow teams of automation engineers, performance engineers, and architects
Set technical direction, OKRs, and career ladders for the quality engineering org
Hire senior ICs and architect-level talent; build succession depth
Foster a culture of ownership, engineering craft, and continuous learning
Partner cross-functionally with Product, DevOps, and R&D leadership.

As the QA Engineer in the company Domains team, you'll own quality end to end for mission-critical products that directly impact our users' ability to get their businesses online - millions of domains managed across our company's global platform. The role is AI-first by design: coding agents and AI tooling are your primary instrument, automation is second, and manual testing is the deliberate third, reserved for where human judgment genuinely wins. In your day-to-day, you will:
Own the quality strategy for our company Domains end to end - what gets tested, how, and to what standard
Build AI-driven testing: use coding agents to generate, maintain and extend coverage across complex product flows at a speed manual QA can't reach
Design and grow automation as the durable backbone of that coverage, across UI, API and integration layers
Plan and execute sharp manual and exploratory testing where it counts - API testing, complex integration testing, and edge cases not covered by our test-driven development methodology
Test flows that unfold over time and reach beyond our company, across many entry points and buying paths
Think like a hacker - understand weak points in solutions and help strengthen them
Influence engineering and product directly - your findings shape architecture, release decisions and what we build next
Coordinate and collaborate on QA projects with many cross-company teams - our product is used all across our company
Set the bar: define what "good" looks like for quality in a fast-paced organization, and raise it.

Were looking for a QA & Automation Engineer to join our growing team at a point where quality and automation are becoming a key part of how we scale. Youll combine hands-on manual testing with automation, building test coverage we can truly rely on as the product grows.

Youll work closely with Product and Engineering from the early stages of a feature, in a highly collaborative R&D environment where people are professional, supportive, and genuinely enjoyable to work with. Your QA and product perspective will have a real influence on how features are shaped and improved.

Responsibility
Build, maintain, and continuously improve comprehensive automated test coverage for new and existing features.
Plan and perform hands-on manual and exploratory testing with a strong user and product perspective.
Collaborate closely with Product and Engineering from feature kickoff through release, identifying risks and edge cases early.
Take ownership of assigned features, from understanding requirements and planning the test approach through release readiness.
Leverage AI tools to accelerate test planning, automation development, and day-to-day QA work.
Continuously identify opportunities to improve QA processes and overall product quality.

As a QA Automation Tech Lead, you will drive automation strategy and testing frameworks. Youll take end-to-end ownership of the automation architecture across all testing layers (API, UI, and E2E), from design to CI/CD integration. Youll collaborate closely with R&D and Product, serving as the technical leader championing quality across the team.

Responsibilities

Drive the automation strategy and framework roadmap, and be responsible for the framework architecture and technical standards (design patterns, structure, reusable infrastructure)
Define the automation approach across testing layers: API, service-level, UI, and end-to-end, including mocking and sandbox strategies for third-party payment providers
Own automation quality itself: test stability, flakiness reduction, execution time, and suite reliability
Define and report quality metrics: coverage, pass rate, flakiness, and execution trends
Integrate and evolve automation in CI/CD pipelines (GitHub Actions) for fast, reliable feedback on every change
Represent testability in design and architecture reviews and surface risks early (shift-left)
Partner with developers, product, and manual QA to decide what gets automated, at which layer, and what does not
Evaluate and introduce new tools and approaches, including AI-assisted testing workflows