דרושים » תוכנה » CI and Automation Engineer

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-centric technology, representing the pinnacle of computer vision, machine learning, and generative AI within the automotive sector. With over $380M in funding and strategic partnerships with industry giants such as Toyota, Amazon, General Motors, Volvo, and Hertz, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, seaports, and more. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity, encourages teamwork, and strives for excellence.
We are looking for a driven, systems-minded Release Engineer to join our AI-Ops team. In this role, you will be the execution layer of our delivery pipeline—the technical gatekeeper who owns the safe, predictable deployment of software and AI models to global edge and cloud systems. You will balance high-speed deployment velocity with rock-solid operational stability. But you won't just be deploying code; you'll be acting as an internal project manager, driving our organizational roadmap by building Agentic AI tools and automating processes to scale our delivery capabilities continuously.
A day in the life and how you’ll make an impact:
* Act as the technical gatekeeper, validating and transitioning versions through strict release gates. Enforce rigorous governance and ensure strict "Definition of Done" criteria are met.
* Lead risk-mitigated rollouts across diverse global hardware environments.
* Monitor real-time deployment performance, Quality of Service (QoS), and algorithmic accuracy, making decisive, crisis-resilient calls to proceed, pause, or rollback to prevent regressions.
* Define and execute comprehensive test plans that verify cross-team dependencies. Validate that new versions meet detection accuracy requirements without degrading infrastructure.
* Triage complex production failures. Look beyond immediate issues to identify root causes using system metrics, logs, and container states, delivering actionable evidence to R&D.
* Build and integrate Agentic AI and LLM-based tools to accelerate log analysis, risk assessment, and deployment troubleshooting.
* Architect automated workflows to eliminate manual overhead and enhance system observability with robust monitors and dashboards.

We are seeking a motivated Senior Automation Engineer to join our Prisma Browser QA group. In this role, you will design, develop, and execute automated End-to-End (E2E) system tests for a cutting-edge enterprise browser. You will be instrumental in enhancing our product quality by maintaining complex automation suites and adopting modern methodologies, including AI-driven testing, to accelerate our development, test, and release cycles.
Key Responsibilities
Design and develop automated tests for new features, covering both UI and backend flows with end-to-end ownership.
Leverage AI capabilities and Large Language Models (LLMs) to optimize test generation, analyze failure patterns, and enhance QA process efficiency.
Build and maintain tools and frameworks that improve the developer experience and enable faster feedback loops within the CI/CD integration.
Maintain and evolve a complex automation infrastructure to support comprehensive cross-browser and cross-OS testing.
Debug existing tests to improve stability, enhance runtime efficiency, and perform deep analysis of nightly test runs to ensure product quality.
Proactively collaborate with development and other QA team members to ensure alignment on test strategies and quality standards.

we are a global leader in control systems for quantum computing-a field on the verge of exponential growth.
Our innovative hardware and software mark a groundbreaking approach to quantum computer control, scaling from individual qubits to expansive arrays of thousands.
At the core of our company lies a passionate and ambitious team committed to reshaping the construction and operation of quantum computers. Our work is fueled by a deep understanding of customer needs, driving us to deliver unparalleled solutions in this revolutionary field.
Were seeking a Software System Engineer to ensure seamless operation and integration of our complex, multidisciplinary system. This role spans multiple software domains and interfaces with hardware, logic, and validation teams. Youll act as a technical leader, driving design and implementation of system-wide features, resolving intricate integration challenges, and building infrastructure that accelerates development across the Software group.
Youll thrive here if you love working on large-scale, multi-threaded systems, solving cross-disciplinary problems, and building robust, production-quality solutions for cutting-edge quantum computing products.
Responsibilities
System Integration & Technical Leadership
Ensure proper operation and integration of all software components and their interfaces with logic and validation modules.
Lead design and implementation of multidisciplinary features, balancing performance, reliability, and maintainability.
Investigate and resolve complex system-wide issues and bugs across multiple teams.
Infrastructure & Tooling
Develop and maintain internal tools and infrastructure to enhance development efficiency and integration readiness.
Build profiling, debugging, and automation frameworks to support high-quality delivery.
Cross-Team Collaboration
Key stakeholder in the definition of interface contracts (APIs, protocols, timing/resource constraints) across software and hardware boundaries.
Drive integration plans, dry runs, and troubleshooting for system-wide features.
Quality & Execution Excellence
Champion clean architecture, code reviews, automated testing, and CI/CD best practices.
Ensure documentation (design specs, interface definitions, runbooks) is complete and up-to-date.

We are looking for a hands-on Senior DevOps Engineer with a strong cloud-native mindset to build, maintain, and evolve our highly scalable, highly-available cloud infrastructure. This role is pivotal in driving operational excellence, security, and automation across our entire engineering organization. You will promote communication, integration, and collaboration to significantly enhance our software development productivity and reliability. You'll work closely with engineering and product teams to streamline delivery, enforce platform standards, and enable a high-velocity development environment-all while keeping reliability and security top of mind.
Responsibilities:
Design, Automate, and Manage complex cloud infrastructure on AWS using best-in-class Infrastructure as Code (IaC) practices.
Lead the operation and enhancement of our production Kubernetes environments (EKS), focusing on automation, security, observability, and seamless CI/CD integration.
Drive continuous improvement across platform tooling, developer experience, and operational processes to meet our ambitious performance and uptime goals.
Implement and enforce security-first infrastructure patterns, including strong IAM, network segmentation, and secure secrets management.
Actively contribute to high-level technical design discussions and cross-functional architectural decision-making, ensuring solutions align with long-term platform strategy.

As a Site Reliability Engineer on the SASE Platform team, you will play a critical role in building and operating highly available, secure, and globally distributed services. Your mission is to ensure our cloud-native security and networking platform is reliable, scalable, and performant from day one, protecting the users, applications, and data for the world's largest enterprises as they adopt cloud, remote work, and AI.
Key Responsibilities
Proactively collaborate with development teams to embed reliability, scalability, and operability into services from the earliest design stages.
Design, review, and evolve cloud-native architectures to improve availability, performance, cost efficiency, and fault tolerance.
Build and operate automation for provisioning, deploying, and managing global infrastructure using Infrastructure as Code (IaC).
Improve CI/CD pipelines and release processes to enable safe, fast, and repeatable deployments.
Drive observability best practices, including metrics, logs, traces, and SLIs/SLOs to enable data-driven incident analysis.
Participate in on-call rotations, reducing mean time to resolution (MTTR) through automation and proactive reliability improvements.
Challenge existing processes by championing reliability, security, and operational maturity across the organization.

We are looking for an experienced Senior DevOps Engineer to join our DevOps team in the Posture R&D Group, who is passionate about software design, development and deployment. The role goes beyond traditional DevOps - it focuses on building the infrastructure and platforms that enable AI models and autonomous agents to run in production at scale, across both cloud and on-prem environments. The job involves writing production-grade modern DevOps solutions that will be shipped to the cloud and on-prem solutions, while working with cutting-edge technologies and architectures that push the boundaries of AI-driven cybersecurity systems.
Responsibilities
Build the best solutions for our production platform, enabling high-scale, AI-driven systems and agents to operate reliably in production-scale environments
Everything as a code approach (IaC): Run our infrastructure with a wide range of technologies including Terraform, and Kubernetes
Build and maintain tools for automation, deployment, monitoring, and operations, with a strong focus on scalability, resilience, and observability of distributed system.
Troubleshoot complex issues in our development, production, and test environments, including large-scale, distributed, and AI-integrated systems
Excellent communication and people skills.

We're looking for a passionate and innovative Software Engineer to join our FastCI team - the force behind our AI-powered CI/CD optimization platform. You'll help build a product that automatically detects CI pipeline bottlenecks, generates actionable insights, and leverages AI agents to deliver fixes. FastCI turns CI maintenance from a reactive chore into a self-healing, intelligent system. This is a rare opportunity to work at the intersection of developer tooling, observability, and applied AI, shipping technology that impacts millions of builds every day.
As a Software Engineer, you will
Embrace an agile, entrepreneurial environment with the strategic advantage of selling to Fortune 500 companies
Develop advanced system-level performance tools for optimizing critical software processes
Design and implement intelligent engines that enhance development commands and workflows
Architect high-performance caching strategies to maximize efficiency across development cycles
Create seamless integrations with widely-used developer tools and platforms
Build scalable, multi-language solutions supporting diverse technology stacks.

As a Site Reliability Engineer on the SASE Platform team, you will play a critical role in building and operating highly available, secure, and globally distributed services. Your mission is to ensure our cloud-native security and networking platform is reliable, scalable, and performant from day one, protecting the users, applications, and data for the world's largest enterprises as they adopt cloud, remote work, and AI
Your Impact:
Proactively collaborate with development teams to embed reliability, scalability, and operability into services from the earliest design stages.
Design, review, and evolve cloud-native architectures to improve availability, performance, cost efficiency, and fault tolerance.
Build and operate automation for provisioning, deploying, and managing global infrastructure using Infrastructure as Code (IaC).
Improve CI/CD pipelines and release processes to enable safe, fast, and repeatable deployments.
Drive observability best practices, including metrics, logs, traces, and SLIs/SLOs to enable data-driven incident analysis.
Participate in on-call rotations, reducing mean time to resolution (MTTR) through automation and proactive reliability improvements.
Challenge existing processes by championing reliability, security, and operational maturity across the organization.

We are seeking a System QA Automation Engineer to drive the validation of our high-performance distributed storage platform, designed for massive AI workloads. In this role, you will architect automation frameworks and tests from the ground up, ensuring seamless integration with the worlds leading orchestration platforms (Kubernetes, OpenShift, OpenStack, Terraform, and vSphere). You will be responsible for defining test strategies, building Python-based tools, and certifying our NFS drivers across a complex matrix of Linux environments.
Key Responsibilities:
Design, develop, and test complex distributed storage products from scratch using Python to interface with storage controllers and orchestration APIs.
Validate storage provisioning, management, and performance within Kubernetes, OpenShift, OpenStack (Cinder/Manila), and VMware vSphere environments.
Lead the testing and certification of NFS drivers (v3/v4) on diverse client operating systems (various Linux distros, Windows Server).