דרושים » אינטרנט ודיגיטל » QA Automation Lead

we are looking for a QA Automation Engineer.
As an QA Automation Engineer , you'll play a crucial role in refining our existing automation frameworks and developing innovative new automation solutions. Your expertise will significantly impact the efficiency and quality of our services, helping to transform senior care through AI-driven technologies.
Key Responsibilities:
Extend and optimize automation frameworks to support scalable, reliable testing across platforms.
Build robust mobile automation solutions from the ground up.
Design and implement end-to-end batch testing to ensure system-wide reliability.
Create, maintain, and execute test plans with clear documentation in Confluence and Jira.
Collaborate cross-functionally to align automation strategies with business goals.
Continuously refine automation workflows for efficiency and minimal manual effort, leveraging tools like Playwright and JavaScript.

We are looking for a passionate and experienced QA Tech Lead to take ownership of quality across our products and lead our QA efforts from a technical perspective. This is a senior, hands-on role, focused on manual testing, technical leadership, and close collaboration with multidisciplinary R&D teams.
As a QA Tech Lead, you will shape QA methodologies, lead the QA team technically, and ensure the delivery of high-quality, reliable systems built on AI, computer vision, and hardware-software integrated solutions. You will thrive in a high-pace, dynamic environment with frequently changing priorities, while maintaining high professional standards and strong cross-team collaboration.
This is a full-time, on-site position (5 days a week from the office).
About The Role
Perform hands-on manual testing of complex AI-driven and HW-SW integrated systems
Define, implement, and continuously improve QA processes, methodologies, and best practices
Own quality throughout the full product lifecycle, from requirements to production
Plan QA activities based on business and technical priorities, adapting quickly to changing needs
Work closely with all R&D teams
Identify risks, prioritize issues effectively, and ensure timely and high-quality deliveries
Strengthen the companys quality culture by promoting ownership, accountability, and collaboration
Lead the QA team technically, providing hands-on guidance and setting high standards for quality.

We are seeking a highly motivated QA Team Lead to join our team.
About us
We are one of the fastest-growing sports betting and iGaming affiliate companies in the industry, specializing in experience-driven technology. Were looking for employees who are ambitious, willingly take ownership, and execute effectively - all to power the company forward
What will you do?
Own quality end-to-end across all our products: web and mobile applications, backend services, cross-platform integrations within partner sites, tracking/attribution systems, and large-scale data flows.
Define and execute the QA strategy: regression coverage, release gates, risk management and production validation.
Design, build and evolve the automation infrastructure, expanding coverage across frontend, backend and system-level flows.
Work closely with Engineering and DevOps on CI/CD, deployments, environments and release stability.
Translate product requirements into structured, testable tasks and proactively identify gaps, edge cases and risks.
Lead and mentor the QA team while remaining highly hands-on (70%).
Make both technical and managerial decisions regarding quality standards, tooling and release readiness.

We are looking for an Automation Team Lead - Telco / ISP Networking to join our Networking & Platform Automation group and lead the Telco Automation team.
This role focuses on carrier-scale Internet-facing networking, customer connectivity, and complex multi-region routing scenarios.
As part of this role, you will lead a team of automation engineers dedicated to Telco / ISP networking scenarios, while working closely with R&D, Network Engineering, and Customer-facing teams to define automation strategy, ensure high-quality validation of ISP-grade networking architectures, and support large-scale customer integrations.
Responsibilities
Lead and mentor a team of Automation Engineers focused on Telco / ISP networking scenarios
Define and drive the automation strategy for carrier-grade networking validation
Own the design and validation of Internet BGP architectures, multi-region routing, and PoP connectivity
Oversee modeling and testing of complex routing policies, traffic engineering, and failover scenarios
Ensure scalable automation coverage for customer integration flows, including peering and routing validation
Define and maintain realistic Telco / ISP-like test environments (multi-AS, multi-PoP, Internet edge simulations)
Work closely with Network Engineering and Customer teams to analyze, reproduce, and prevent field issues
Drive automation infrastructure improvements, frameworks, and tooling for large-scale networking tests
Set priorities, manage execution, and ensure delivery according to roadmap and business needs.

We are looking for a Quality Automation Team Lead to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
We are looking for a talented, "hands-on" QA Manager to join us, specializing in the areas of Storage, Clustering, Networking and System-integration.
Key Responsibilities
Lead a team responsible for Test Automation Development, design automation tests and pipelines integrating with SW tools from the ground up, interfacing to various systems and tests (Python-based).
Work closely with developers to create and maintain a state of the art system tests.
Define, develop and execute automated testing plans with deep system knowledge and understanding.
This position also requires hands-on work.

We are seeking a hands-on Director of Tech Ops to own and evolve our backend platforms, data infrastructure, DevOps, security, and internal IT operations.
This role is foundational to our ability to securely build, train, validate, and operate state-of-the-art autonomous driving systems at scale. The ideal candidate brings deep experience in operating secure, production-grade infrastructure in a data-intensive AI environment, while also leading and growing high-performing teams.
Responsibilities
Own backend infrastructure, DevOps, security, and internal IT operations end-to-end
Design, build, and operate scalable cloud and on-prem infrastructure supporting large-scale AI training, validation, and data pipelines
Lead the architecture and operation of systems handling massive volumes of visual and multimodal data
Establish and continuously improve DevOps practices, including CI/CD, monitoring, alerting, reliability, security, and cost optimization
Define, implement, and enforce infrastructure and data security standards, policies, and controls
Lead security compliance efforts, including implementation and successful audits of frameworks such as ISO 27001 and similar standards
Manage corporate IT systems, access control, networking, endpoints, and external vendors
Partner closely with AI, algorithm, and R&D teams to support ML workflows and evolving compute and data needs
Drive selection, adoption, and integration of cloud platforms, databases, DevOps tools, and third-party services
Define best practices for scalability, availability, resilience, and security across the organization
Lead, mentor, and scale backend, DevOps, security, and IT teams.

The CSO Office is seeking an Application Security Team Lead. In this role, you will manage an application security team that focuses on building and running tools to secure the application landscape at scale, as well as conducting vulnerability research. You will work closely with the R&D and DevOps teams and serve as the focal point for identifying and resolving complex security challenges.
This is a hands-on Team Lead position, a development-focused role that ensures products adhere to the stringent security requirements of our thousands of customers.
As an Application Security Team Lead you will
Build, lead, and mentor a team of AppSec Engineers
Lead the development of Internal Security tools and AI agents
Design and implement SSDLC practices and automated security controls across the CI/CD pipeline
Build and operate scalable vulnerability management frameworks across cloud-native services and SaaS products
Integrate security into Agile and DevOps processes, including threat modeling, SAST, DAST, and SCA
Partner with development and DevOps teams to embed security early and often
Contribute to secure code reviews and assist with remediation strategies
Track, triage, and report vulnerabilities across product lines
Provide technical leadership and drive adoption of secure development best practices
Define and measure AppSec KPIs and drive continuous improvement

We are looking for a talented Full Stack Engineer to join our growing web application engineering team. This is a unique opportunity to join a high-performing, tech-driven environment where you will influence architecture, shape new features, and contribute to building a robust, scalable platform.
In this role, you will work across the stack - designing and developing end-to-end features, improving system performance, and helping build an engineering culture that emphasizes quality, reliability, and clean code. You will collaborate closely with our Product, Data, and AI teams to build innovative, AI-driven capabilities that power the next generation of creative intelligence.
As part of a fast-moving startup and an industry leader, your contributions will directly impact our product evolution and customer experience.
Key responsibilities:
Design, develop, and own fullstack features end-to-end, from planning to deployment and monitoring.
Contribute to architectural decisions and help build scalable, maintainable systems.
Write clean, testable, and well-documented code while upholding high standards across the team.
Diagnose, debug, and resolve complex issues while continuously improving platform reliability.
Collaborate closely with cross-functional teams (Product, Data, AI) to deliver high-impact solutions.
Participate in code reviews, knowledge sharing, and ongoing improvements to development workflows.
Stay up to date with modern technologies and bring fresh ideas to improve efficiency, tools, and developer experience.

Required Infrastructure Fullstack Engineer
Job Description
As a Fullstack Infrastructure engineer in the Frontend guild, you'll build tools used by every frontend developer to improve velocity and quality. You'll take projects from ideation to production, work with cutting-edge full-stack technologies, and be part of a highly experienced infrastructure team.
In your day-to-day, you will:
Build tools to improve developer velocity and code quality
Create and own solutions in areas like production testing and performance
Use AI as an integral part of your day-to-day development - from coding and testing to design and decision-making
Take projects from ideation to production, including technical design and coding
Work with modern full-stack technologies and industry-leading tools
Collaborate with experienced colleagues on impactful infrastructure projects
Influence developer-centric tools at every level .

We are looking for a Infrastructure Team Leader to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
What Youll Be Doing
Lead a team of 5-7 talented Software Engineers
Design, build and set up development tools and infrastructure for use by the various teams in the R&D organization.
Among the different tools:
test infrastructure used by the QA
Maintain and develop API and interfaces facing the company storage product + different cloud providers.
full stack bug investigation portal
VM orchestration
Collaborate with other teams to improve the productivity of the entire R&D organization.
Dealing with diverse technologies and domains - Docker, Git, Python, Linux, Python, Storage.