דרושים » ניהול ביניים » Senior Product Analyst

We are seeking a QA Automation Engineer with strong Python skills to join our dynamic QA team. In this role, you will design and implement automated test frameworks, execute manual and automated testing, and ensure the quality of our AI-driven SaaS product.
Youll work closely with developers and product teams, gaining exposure to cloud technologies, AI workflows, machine learning pipelines, and enterprise-grade software testing.
We follow Agile methodology, working in time-boxed sprints and managing tasks with clear timelines to ensure iterative delivery and continuous improvement.
What Youll Do:
Develop and maintain Python-based test automation scripts and frameworks.
Perform manual testing for new features and regression cycles.
Validate integrations with Azure services, APIs, and microservices.
Collaborate with developers and product teams to ensure high-quality releases.
Analyze test results, report defects, and contribute to continuous improvement.
Participate in test planning, risk analysis, and quality metrics reporting.
Drive test coverage improvements and advocate for automation best practices.
Work on AI model validation, prompt testing, and data-driven quality checks.

We are seeking a seasoned Backend Tech Lead with a solid background in high-load environments and experience in managing multiple Linux servers. The ideal candidate is someone who thrives in a fast-paced, innovative, and technology-driven culture.
Responsibilities:
Own architecture for high-scale, user-facing backends and data pipelines.
Lead and mentor engineers; guide design reviews, roadmaps, and execution.
Operate production systems with clear SLOs/SLAs, on-call quality, and blameless postmortems.
Evolve our K8s/GPU platform, CI/CD, and observability to increase deployment velocity and resilience.
Integrate and serve ML models (PyTorch, CUDA/TensorRT, Triton) with a focus on throughput and cost.
Partner cross-functionally (ML, Product, Security, Finance) on priorities and cost/perf trade-offs.
Hire, level up the team, and uplevel engineering standards.

We are seeking a seasoned Backend Developer with a solid background in high-load environments and experience in managing multiple Linux servers. The ideal candidate is someone who thrives in a fast-paced, innovative, and technology-driven culture.
Responsibilities:
Own architecture for high-scale, user-facing backends and data pipelines.
Lead and mentor engineers; guide design reviews, roadmaps, and execution.
Operate production systems with clear SLOs/SLAs, on-call quality, and blameless postmortems.
Evolve our K8s/GPU platform, CI/CD, and observability to increase deployment velocity and resilience.
Integrate and serve ML models (PyTorch, CUDA/TensorRT, Triton) with a focus on throughput and cost.
Partner cross-functionally (ML, Product, Security, Finance) on priorities and cost/perf trade-offs.
Hire, level up the team, and uplevel engineering standards.

we have been transforming computer graphics, pc gaming, and accelerated computing for more than 25 years. its a unique legacy of innovation thats fueled by great technology-and amazing people. our networking software group is rapidly growing, and we are hiring software engineers for the networking switch software verification team. come and join a diverse group of engineers spread across the globe who come together in small close knit teams to innovative and develop groundbreaking solutions.
as a member of the team, you will be a part of cutting edge Python -based sw project using advanced techniques such as white box testing, multi-thread environment and more. you will gain unique knowledge of how switch operating system works and how large scale networks are constructed. teams utilize the latest software engineering methodologies and tools in an agile fashion to release on time. are you ready for this challenge?
what you will be doing:
design, develop, optimize and maintain apis, tools and libraries for verification networking infrastructure
collaborate with team members, architects, design, QA teams, and customers (both external and internal)
design, develop, execute and maintain tests automation for release features.

Were looking for a Computer Vision Research Scientist to join our amazing growing team where each team member makes an impact.
Responsibilities:
Conduct research and development in computer vision and image processing
Design, implement, and integrate computer vision and machine learning algorithms and prototypes and assist in the transition into products and services
Interact with and support multiple research teams ranging from research scientists to engineers to manufacturing and retail
Work between multiple business units and sub business units including managing meeting flows, presenting data, building, and maintaining relationships.
integrate the latest high impact ML and AI technologies into our process.

We are seeking a Senior DevOps Engineer to own and evolve deployment and delivery platform. In this role, you will improve release reliability, Kubernetes operations, and infrastructure automation across customer environments (including air-gapped deployments) and our internal engineering platforms. This is a hands-on senior role with strong technical ownership, cross-team influence, and operational leadership as needed.



Your key responsibilities will be:

Architect, operate, and troubleshoot Kubernetes-based deployments across Rancher, OpenShift, and managed Kubernetes environments such as AKS, EKS, and GKE.
Own infrastructure automation and environment provisioning using Infrastructure-as-Code, preferably Terraform.
Build and improve CI/CD and release engineering, including artifact and version management, quality gates, repeatable deployments, and automation.
Strengthen platform security through standardized controls and disciplined operational practices (secure distribution, credential rotation, least-privilege access, auditability).
Drive operational excellence and service reliability through observability, incident response, incident reviews, and operational runbooks.
Collaborate cross-functionally to remove deployment friction and enable successful go-lives across R&D, QA, Systems/IT, and Delivery teams.
Participate in operational support and escalation handling, including time-sensitive debugging and recovery activities as needed.
Provide technical mentorship and guidance across the team through design reviews, best practices, knowledge sharing, and raising engineering standards.