Software Quality Lead

Chips Talk, We Listen

proteanTecs is a game-changing startup that's giving advanced electronics the power to report on their own health. In a digital world built for autonomous driving, cloud computing, and AI, we depend on computing systems daily. But how can we guarantee their safety, reliability and functionality? proteanTecs is the first-ever company to provide visibility into next-gen chips while they are operating, based on the power of on-chip monitoring, machine learning, and data analytics.

Here at proteanTecs, you'll be part of a team that's unlocking deep insights to make electronics more reliable, efficient, and high-quality. We're trusted by industry leaders in data centers, automotive, communications, and consumer devices – we work with the world's largest and most notable companies in tech.

Why proteanTecs is a great place to work:

• Fast-paced and impactful: We're a mission-driven startup, so you'll tackle new challenges daily, wear many hats, and see your work directly influence the future of electronics.
• Supportive company culture: Learn from the best. Our 200+ team members are experts in their field with a proven track record of success, and they're committed to fostering a collaborative and supportive work environment.
• International presence: We're a multinational company with a diverse team across multiple locations around the globe. You'll collaborate on projects with international impact, gaining a global perspective of the tech industry.
• Work with industry leaders: Our solutions are used by the biggest names in tech. You'll be part of the team creating the next generation of groundbreaking products.
• Cutting-edge playground: We use the latest machine learning, platforms, and tools to push boundaries and achieve breakthroughs.
• Real-world impact: Our work keeps data centers, cars, and other critical systems running smoothly. Your work will directly contribute to safer, more reliable electronics.
• We are here for the win: Backed by industry veterans and leading investors, we offer a stable and secure work environment with plenty of room for growth.
  
  

We are looking for a Software Quality Lead to own end-to-end quality across the Platform organization (Software, DevOps, Algo).

In this role, you will define the quality strategy, lead test planning and reviews, oversee automation coverage, build metrics and dashboards, ensure readiness for major and minor releases, and cultivate a strong quality culture across teams.

You will work closely with R&D team leads, Product, DevOps, and Data Science to ensure consistent, reliable, high-performance delivery across multi-cloud deployments.

Position location: in our Haifa or TLV offices, at least one working day at the secondary site (Hybrid model)

Requirements:

Must-Have

• 10+ years in software QA / Quality Engineering, including automation.
• 5+ years in a quality leadership or quality management role.
• Experience with distributed cloud systems (AWS / Azure / GCP).
• Strong understanding of backend microservices, frontend UI frameworks, and data pipelines.
• Proven experience with test automation frameworks (Playwright, Cypress, pytest, etc.).
• Experience with CI/CD pipelines and DevOps tooling.
• Excellent understanding of the SDLC and Agile processes.
• Strong analytical, problem-solving, and data-driven decision-making skills.
• Excellent communication and stakeholder management abilities.
  
  

Nice-to-Have

• Experience with ML model validation and ML lifecycle quality.
• Knowledge of observability stacks (Prometheus, Grafana, Kibana, ELK).
• Experience with performance, scalability, and resiliency testing.
• Experience working with SQL/noSQL databases and large-scale datasets.
  
  

Responsibilities:

Quality Strategy & Leadership

• Define and own the quality strategy for Platform (backend, frontend, algorithms, analytics).
• Establish quality KPIs and maturity metrics (coverage, defects, MTTR, escape ratio, reliability score).
• Build and lead scalable quality processes aligned with the proteanTecs organizational structure.
• Partner with managers to ensure quality is built in from design to deployment.
• Champion continuous improvement and a data-driven quality culture.
  
  

Test Planning & Execution

• Own quality plans for features, epics, and quarterly releases.
• Drive risk-based test planning across Platform components and teams.
• Ensure E2E, integration, performance, and resiliency tests exist with measurable coverage.
• Validate cross-cloud compatibility (AWS, Azure, GCP, Alibaba).
  
  

Automation & Tooling

• Collaborate with development and infrastructure teams to expand UI/API/ML/E2E test automation.
• Ensure automation is integrated into CI/CD pipelines and nightly runs.
• Drive shift-left practices and enable developer self-service QA capabilities.
  
  

Quality Data & Observability

• Build dashboards to monitor test results, trends, environments, performance, and reliability.
• Work with DevOps/MLOps to ensure proper monitoring of test environments and pipelines.
  
  

Release Readiness & Risk Management

• Assess release quality using standardized metrics and gate criteria.
• Lead quality sign-off and risk assessments for releases.
• Proactively detect regressions, bottlenecks, and reliability gaps.
  
  

Cross-Team Collaboration

• Align with Product Managers on acceptance criteria and release scope.
• Work with ML/Algo teams to validate model accuracy, stability, and performance.
• Collaborate with Frontend and Backend teams on quality strategy and implementation.