לוח משרות דרושים QA Automation infrastracture lead משרה מלאה, לחיפוש זה נמצאו 9 משרות

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 technical focal point for quality, you will coordinate with R&D squads to ensure robust automation coverage, while actively writing and maintaining test scripts to support the teams. You will own our real-device mobile environments and oversee release readiness, independently auditing test scenarios and driving automation runs to provide the final technical "go/no-go" for new versions.

Required People Infrastructure Lead (Systems, Data & Compensation)
About The Position
A next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. Unlike traditional tools, we use runtime data proactively for risk prioritization and posture insights, ensuring teams focus on what truly matters. With industry-leading efficiency and eBPF-powered sensors, we deliver comprehensive capabilities - including agentless cloud posture discovery, real-time threat protection, and integrated API security. We're in a period of significant growth. There's an enormous amount to build, improve, and shape - and every hire changes the trajectory of the company.
What this role is:
Think of this as the platform engineering role for our People function. Just like a platform team builds the systems that let engineers ship fast - you'll build the operational layer that lets the entire company run fast.
Real-time data. Automated workflows. Compensation logic that actually scales. No legacy systems to untangle, no inherited processes to maintain. Full ownership over how People infrastructure gets designed, built, and operated.
This isn't traditional People Ops. It's the technical backbone behind it.
What you'll build:
Own the People infrastructure end-to-end - HiBob and the integrated ecosystem around it.
Engineer frictionless, automated lifecycle workflows across the entire employee journey - from offer to offboarding.
Build the compensation infrastructure from the ground up: leveling, salary bands, benchmarking, and the logic that ties them together.
Turn organizational data into a real-time, high-fidelity source of truth that leaders actually trust.
Deploy AI and automation to eliminate manual work - not assist it.
Give leadership the visibility and operational agility to make fast, confident decisions at any scale.
These are the core domains. What you build within them and how - is largely up to you.
You'll thrive here if:
You've built People systems from scratch - not maintained someone else's.
You think in systems and data, not tickets and tasks.
You're technically comfortable - you can turn a People challenge into an automated workflow without waiting for IT.
Compensation logic excites you, not intimidates you.
You've worked in a high-growth environment and know exactly what breaks at scale.
You're excited by using AI to replace manual work - not just dress it up.
You move decisions forward instead of getting stuck in discussions.

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.

Were looking for a highly technical Automation Infrastructure Team Lead to establish and lead a new Automation Infrastructure team.

This is a hands-on technical leadership role focused on building the frameworks, tools, services, infrastructure, and reporting capabilities that enable QA automation engineers and developers to create, run, debug, monitor, and maintain automated tests efficiently and independently.

You will act as a platform enabler for automation across R&D, building scalable, cross-product, self-service capabilities used by hundreds of engineers and QAs to deliver high-quality automation at scale.

You will work closely with the QA Architect, automation engineers, development teams, DevOps, products, and engineering leadership to deliver a reliable automation platform using technologies such as Playwright with TypeScript, Python, and Pytest.



What Youll Do

Establish and lead a new Automation Infrastructure team.
Own the technical vision, architecture, and roadmap for cross-product automation frameworks, shared libraries, execution platforms, reporting systems, and self-service capabilities.
Design and build scalable automation infrastructure used across multiple products, teams, environments, repositories, and CI/CD pipelines.
Enable QA automation engineers and developers with reusable components, templates, tools, dashboards, CI/CD integrations, and best practices.
Improve test execution reliability, reduce flakiness, shorten feedback loops, and increase confidence in automation results.
Own automation visibility, including KPIs, dashboards, quality metrics, adoption tracking, reporting cadences, and stakeholder updates.
Translate automation data into actionable insights for automation engineers, developers, product teams, QA leadership, and executives.
Build, mentor, and grow a team of automation infrastructure engineers.
Drive planning, estimation, tracking, delivery, adoption, and continuous improvement of automation infrastructure initiatives.

We are looking for a hands-on QA & Automation Team Lead who embodies ambition and positivity.
Someone who can passionately take ownership of quality across our high-level software, lead by example, and collaborate effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.
Responsibilities:
- Own the quality and test automation strategy across our high-level software, including our SDKs, APIs, user-facing tools, and the services around them.
- Lead a team of QA and automation engineers - setting technical direction, mentoring, and growing the team's capabilities while staying hands-on.
- Design, build, and maintain robust automation frameworks and the test suites that run within our CI flows, validating functionality, performance, and stability.
- Define test plans, coverage goals, and quality gates in close partnership with R&D, architecture, and product teams.
- Partner with DevOps to integrate test suites into the CI/CD pipelines they own, ensuring quality gates are well-defined and effective.
- Own Tier 2 customer support for software issues - investigating escalations, reproducing and diagnosing problems, driving them to resolution, and feeding insights back into test coverage and product quality.
- Drive root-cause analysis and continuous improvement of test reliability, flakiness, and release confidence.
- Establish metrics and reporting that give the organization clear, actionable visibility into product quality and release readiness.

The SW Validation team is looking for a hands-on Technical Lead to drive the design, development, and advanced Python-based test automation solutions for our autonomous driving platform.
Working as part of the SW Validation team, you will lead the technical direction of complex end-to-end validation flows, combining deep technical ownership, software design, complex system debugging, and mentoring of other automation engineers.
As an integral part of the autonomous driving pipeline, you'll work with cutting-edge technologies in a primarily Python-based development environment and have a direct impact on bringing our most advanced autonomous driving capabilities from development into reality.
What will your job look like?
Be the technical lead of the team that is responsible for the development of test content (mostly in Python) for the autonomous vehicle system and E2E flows
Review and approve system architecture requirements
Design and implement complex test solutions
Enforce compliance with autonomous vehicle industry standards.

We are a FinTech solution designed to assist accountants and tav experts in improving and simplifying their day-to-day processes. We are the leading FinTech accounting manager solution in Israel. We provide an end-to-end B2B solution for Accountant Firms. Our SAAS solution offers the CPA the automation of complex processes, including Income invoices, Expense management, Tax payment, Tax Reports, Automatic (OCR) invoice processing, and much more, covering all aspects of financial management.
We're looking for a QA & Automation Lead to take ownership of our quality strategy, lead testing efforts across the organization, and build a robust automation framework that supports our continued growth.
What You'll Do
* Lead and own the QA function across the company
* Define and implement QA methodologies, processes, and best practices
* Design, develop, and maintain automated testing frameworks
* Drive TEST automation initiatives and increase automation coverage
* Collaborate closely with Product, Development, Support, and Business teams
* Ensure release readiness and maintain high product quality standards
* Introduce innovative tools and AI-driven approaches to improve QA efficiency