Software Qa Engineer jobs at Cellebrite in Israel, Petah Tikva

Position Overview:

We are looking for ato 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.

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.

• 6+ years of experience in software quality, test automation, and performance engineering.
• Strong hands-on expertise with AWS services: Lambda, EKS, S3, CloudWatch, RDS, etc.
• Proficiency with Terraform, Helm, and Git-based workflows (GitHub Actions).
• Experience with microservices, REST APIs, and asynchronous messaging systems in distributed cloud environments.
• Solid background in automation tools (Selenium, Cypress, Playwright) and performance testing tools (JMeter, k6, Locust).
• Strong coding/scripting skills (Python, JavaScript, or similar).
• Experience with observability and APM tools (Datadog, Grafana, Prometheus).
• Familiarity with chaos testing, failover validation, and resiliency patterns.
• Exposure to security/performance hardening of services in production.
• Strong collaboration skills across R&D, DevOps, and QA.
• “Can-do” mindset, with the ability to solve problems proactively and independently.
• Excellent written and verbal communication skills.

Key Responsibilities:

• Perform manual testing for mobile and desktop applications across iOS and Android
• Review requirements and design detailed, structured test plans and test cases
• Execute functional, regression, and exploratory testing
• Document and report bugs using JIRA
• Participate in Agile ceremonies and sprint planning
• Collaborate with cross-functional teams including developers, product owners, and DevOps
• Ensure high product quality through structured and efficient testing processes
• Conduct log analysis and basic database validation (SQL)

• 2+ years of experience in software QA, with proven hands-on testing skills
• Strong working experience with JIRA (bug tracking, task management, dashboards)
• Solid understanding of QA methodologies and best practices
• Experience testing mobile applications (iOS and Android) – strong advantage
• Experience working in Agile/Scrum development environments
• High level of analytical thinking and attention to detail
• Strong communication skills and proficiency in English

Nice to Have:

• Experience with mobile device debugging tools (e.g., Android Studio, Xcode)
• Familiarity with automation frameworks (Selenium, Appium, PyTest)
• Exposure to cloud-based environments and DevOps pipelines
• ISTQB certification or equivalent QA credentials
• Background in cybersecurity, digital forensics, or regulated industries

Position Overview:

You’ll collaborate with cross-functional teams to tackle complex technical challenges and play a vital role across the full software development lifecycle.

Key Responsibilities:

• Design, develop, test, and maintain scalable and robust software applications.
• Collaborate with Product Managers, UX/UI Designers, and fellow Developers to translate requirements into effective technical solutions.
• Participate in code reviews to ensure high-quality standards and continuous improvement.
• Debug and optimize legacy systems while contributing to new architecture designs.
• Author and maintain technical documentation and user support materials.
• Work in an Agile environment and follow CI/CD best practices to streamline deployment.
• Stay updated on emerging technologies to improve performance, scalability, and maintainability.

• 5+ years of experience in software development (.NET)
• Proficiency in C#
• Experience with cloud platforms: AWS, Azure
• Solid understanding of databases: PostgreSQL, MySQL, or MongoDB
• Familiarity with modern front-end frameworks (e.g., React, Angular, Vue.js) is a plus
• Strong analytical and debugging skills
• Excellent communication and teamwork abilities
• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• Professional-level English is a must

Why Join Cellebrite?

• Meaningful work with global impact
• Opportunities for professional growth and innovation
• Collaborative and inclusive culture
• Exposure to cutting-edge cloud and AI technologies

Position Overview:

You’ll work closely with data scientists, ML engineers, and product teams to build scalable, production-ready data infrastructure leveraging Apache Spark, AWS services, and Infrastructure-as-Code.

Key Responsibilities:

• Influence Data Architecture: Design scalable, secure data platforms using Spark (EMR), Glue, and AWS event-driven services.
• Develop Scalable Pipelines: Build batch & streaming ETL/ELT pipelines with Spark EMR, Athena, Iceberg, EKS, Lambda.
• Drive Innovation: Introduce patterns like data mesh, serverless analytics, and schema-aware pipelines.
• Cross-Team Collaboration: Work with ML, backend, and product teams to deliver data-powered solutions.
• Operational Excellence: Apply observability, cost control, performance tuning, and CI/CD automation using CloudWatch, Step Functions, Terraform/CDK.
• Security: Implement AWS best practices for IAM, encryption, compliance, and auditability.

Experience:

• 8+ years of hands-on experience in data engineering, with proven responsibility for designing, developing, and maintaining large-scale, distributed data systems in cloud-native environments (preferably AWS).
• End-to-end ownership of complex data architectures – from data ingestion to processing, storage, and delivery in production-grade systems.
• Deep understanding of data modeling , data quality , and pipeline performance optimization .

Technical Expertise:

• Apache Spark : Expertise in writing efficient Spark jobs using PySpark , with experience running workloads on AWS EMR and/or Glue for large-scale ETL and analytical tasks.
• AWS Services : Strong hands-on experience with S3 , Lambda , Glue , Step Functions , Kinesis , and Athena – including building event-driven and serverless data pipelines.
• Solid experience in building and maintaining both batch and real-time (streaming) data pipelines and integrating them into production systems.
• Infrastructure as Code (IaC) : Proficient in using Terraform , AWS CDK , or SAM to automate deployment and manage scalable data infrastructure.
• Python as a primary development language (with bonus points for TypeScript experience).
• Comfortable working in agile, fast-paced environments, with strong debugging, testing, and performance-tuning capabilities.

Mindset & Skills:

• Strong system design & code quality focus
• Ownership from architecture to monitoring
• Automation-oriented, loves simplicity
• Excellent communication & mentoring abilities.

Nice to Have:

• AWS certifications (e.g., Solutions Architect, Data Engineer).
• Experience with ML pipelines or AI-enhanced analytics.
• Familiarity with data governance, data mesh, or self-service platforms.
• Domain experience in cybersecurity, law enforcement, or regulated industries.

✅ Competitive compensation & full benefits.

✅ Work on mission-critical systems that protect lives.

✅ Continuous learning & real career growth opportunities.

Position Overview:

As a key technical lead, you will transform AI-driven ideas into operational, production-ready systems that deliver real impact to our global customers. You’ll work at the intersection of deep tech, product design, and user experience to shape the future of digital intelligence tools.

Key Responsibilities:

• Lead Development of GenAI Applications: Build and maintain full-stack solutions that bring GenAI research into production environments.
• Design Scalable Architectures: Create flexible and modular systems that can evolve with rapidly changing AI technologies.
• Collaborate Across Disciplines: Work closely with GenAI researchers, product managers, and designers to integrate AI capabilities into intuitive user interfaces.
• Prototype and Experiment: Rapidly iterate on AI-driven concepts to explore innovative use cases and technologies.
• Optimize Performance: Implement best practices for scalability, responsiveness, and system robustness across frontend and backend services.

Qualifications:

• Education: B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related technical field.
• Experience:
• 5–7 years of hands-on experience in full-stack development.
• 1+ years of proven experience with agentic GenAI systems in production environments.
• Experience in building web applications with React (frontend) and Node.js (backend) .
• Experience with Python-based backends and AI-related services.
• Experience in cloud environments (GCP – advantage).

Technical Skills:

• Advanced knowledge of React , Node.js , and Python .
• Proficiency in RESTful APIs, microservices, containerization, and cloud deployment.
• Experience with RAG solutions , agentic frameworks, and performance optimization.

Soft Skills:

• Creative and proactive mindset with strong problem-solving skills.
• Excellent communication and collaboration abilities.
• Passion for innovation and willingness to explore emerging technologies.