דרושים » תוכנה » DevOps Engineer Deployment & Infrastructure

Were looking for a Senior DevOps Engineer to join our newly formed Foundations Teama small, high-impact group responsible for the infrastructure, tools, and shared services that power our entire R&D organization.
In this role, youll design, build, and evolve internal platform infrastructure, CI/CD systems, and developer enablement tooling. Your mission is to empower developers across the company to work autonomously, by creating self-service tools, automation, and clear standards that reduce friction and increase reliability.
Youll collaborate closely with engineers across disciplines and partner with the Foundations Team Lead to shape DevOps practices that scale. This is a hands-on role for someone who thrives in high-velocity, mission-critical environments and is passionate about building tools that make developers faster, more productive, and confident in running their own services.
What Youll Do
Design and maintain scalable, developer-friendly CI/CD pipelines and deployment workflows.
Build self-service tooling and automation that enables teams to manage deployments, environments, secrets, and observability independently
Be responsible for cloud infrastructure and operations foundations
Implement and promote best practices for monitoring, logging, and alerting across services.
Operate and optimize Kubernetes-based production environments, ensuring performance, security, and stability.
Manage infrastructure using Infrastructure as Code (IaC) and ensure repeatability and traceability through tools like Terraform.
Collaborate with R&D teams to support onboarding to internal tooling and promote a culture of enablement over dependency.
Monitor cloud cost, ensuring our cloud operates efficiently.

were looking for a unique kind of engineer.
This is not a classic SRE role. Its for someone who lives at the intersection of software, systems, and physical operationswho can guide complex deployments remotely, troubleshoot bizarre edge cases in live environments, and build the automation and structure that make all of it repeatable at scale.
As part of the Ops Technology team, youll take charge of deploying our system in live stores, working closely with customer technology teams and 3rd-party integrators. Youll monitor installations, debug weirdness from afar, guide teams through configuration and calibration, and evolve the tooling that makes it all work across hundreds of diverse store environments.
In this role, youll not only operationalize deployments at scaleyoull gain a deep understanding of core algorithms and engineering stack to ensure every store performs at its best. Your work will help bridge the gap between code and real-world execution, turning complexity into repeatable success.
A day in the life:
Oversee and drive deployments of system in stores around the worldremotely, reliably, and at scale
Guide and support customer tech teams and 3rd-party integrators during store setups (camera calibration, product database uploads, system configurations, etc.)
Debug and resolve real-world failures that arise when software meets physical retail complexity
Design and refine deployment tools and pipelines that support rapid, scalable, and low-touch installs
Collaborate cross-functionally with R&D, product, and field teams to harden the system against operational variance
Act as Tier 2/3 technical escalation, stepping in when deployment blockers need hands-on attention
Build documentation, processes, and field guides to enable integrators and client teams to succeed

we are at the forefront of the AI revolution, delivering cutting-edge accelerated compute platforms for global impact. Our Network Insights group is seeking a talented and motivated Sr. DevOps Engineer to architect, scale, and optimize the DevOps infrastructure supporting our advanced networking simulation services. In this high-impact role, you will lay the foundations to scale a key insight product to reach 10100 times more users, design robust CI/CD pipelines, drive automation, and ensure the reliability, scalability, and security of our cloud-based, and on-prem platforms.. If you are passionate about solving complex infrastructure challenges and enabling world-class software delivery, we want to hear from you.
What You'll Be Doing:
Architect and optimize CI/CD pipelines for large-scale, high-availability simulation services, ensuring fast, reliable, and secure deployments.
Drive automation across infrastructure provisioning, configuration management, and monitoring to support rapid development cycles and minimize manual intervention.
Collaborate with software engineering and product teams to design and implement scalable, cloud-native solutions that meet evolving business needs.
Promote standard processes in infrastructure as code, containerization, and cloud security, ensuring compliance and resilience across environments.
Monitor, troubleshoot, and resolve infrastructure and deployment issues, maximizing uptime and ensuring efficient performance for internal and external customers.
Evaluate and integrate new tools and technologies to continually enhance the reliability, observability, and efficiency of our DevOps ecosystem.
Participate in incident response and post-mortem processes, driving root cause analysis and systemic improvements.

As a Principal DevOps Engineer in our Platform Engineering team, you will lead the design and implementation of cutting-edge CI/CD pipelines and cloud architecture that powers our development environment. You'll drive initiatives to enhance developer productivity through automation, tooling, and infrastructure improvements, working with a modern tech stack including Kubernetes, Python, cloud-native and high-scale technologies.
Your Impact
Architect and implement scalable, resilient CI/CD pipelines and cloud infrastructure that supports our engineering organization's evolving needs
Design and develop internal developer tools and platforms that significantly improve developer experience and productivity
Drive the evolution of our Kubernetes-based deployment infrastructure in Google Cloud Platform, ensuring security, reliability and performance
Optimize and scale our CI/CD infrastructure including Jenkins, GitLab, TeamCity, and artifact management systems
Mentor and guide other engineers on DevOps best practices, infrastructure design, and implementation strategies
Drive adoption of infrastructure-as-code, automated testing, and deployment methodologies
Collaborate with development teams to understand their needs and implement solutions that accelerate their workflow
Establish standards and best practices for infrastructure reliability, observability, and performance.

We are looking for a Staff Devops Engineer.
As a Devops Staff Engineer, you will not be assigned a specific R&D group, but will serve as a focal point for the DevOps engineers, to help and support with any issue.
Youll be leading projects that cross DevOps, push forward technical discussions and interact with each DevOps engineer as needed to solve diverse complex problems of high scale.
Youll support multi-region environments, build and maintain tools for automation, deployment, monitoring, and operations.
Youll troubleshoot and resolve issues in our various environments.
Youll play a key role in designing and enforcing infrastructure patterns that support zero-downtime deployments, high resilience, and compliance standards.
Youll collaborate with teams across the company to define and drive forward scalable, production-grade architecture.
Youll conduct periodic on-call duties and emergency response.

Are you passionate about building cutting-edge DevOps infrastructure? Do you thrive in a fast-moving, collaborative environment where you're empowered to innovate and deliver?
We are looking for a DevOps engineer to join our DevOps Infrastructure team in Tel Aviv!
As part of the DevOps org, you'll play a key role in shaping the production infrastructure that supports our engineering platformscontainerized, microservice-based, and cloud-native. Youll work side-by-side with R&D to evolve our CI/CD pipelines, improve system reliability, and scale production infrastructure that supports our global growth.
What youll do:
Level up our CI/CD architecture using Argo Workflows, GitHub Actions, and Kubernetes-native deployment strategies
Enhance our build & release pipelines for scalable, multi-arch Docker images, with quality gates and dynamic testing
Lead efforts to evolve our test automation framework across microservices (REST APIs, async flows, cloud services)
Collaborate with R&D on implementing progressive delivery, canary deployments, and real-time alerting with DataDog and Open Telemetry.
Build and scale production that works across multi-region cloud environments (AWS/GCP), using Terraform and Helm
Drive a DevEx-first cultureintegrate quality tooling (e.g., SonarQube, Trivy, Checkov) into developer workflows.

We are looking for a DevOps DevOps Engineer to take ownership of our Cloud Infrastructure and Platform Engineering strategy, enabling high-scale, cutting-edge GenAI products running across 40+ Kubernetes clusters on GCP and AWS.
This role is a hands-on engineering , requiring deep expertise in cloud-native technologies, Kubernetes at scale, and modern DevOps principles. You will work closely with engineering teams to design and implement scalable infrastructure solutions, optimize developer workflows, and ensure reliability and efficiency across our platform.
Role and Responsibilities:
Cloud & Kubernetes Expertise: Design and implement highly scalable multi-cluster Kubernetes environments across GCP & AWS.
Developer Experience & Enablement: Lead the development of self-service tools and automation that improve efficiency for R&D teams.
Incident & Reliability Engineering: Work with engineering teams to optimize cost, performance, and reliability of production infrastructure through monitoring, capacity planning, and scaling strategies.
Security & Governance: Contribute to best practices for RBAC, IAM, cloud security, and compliance while ensuring infrastructure reliability.
Automation & Infrastructure as Code: Drive adoption of GitOps workflows and Infrastructure as Code (Terraform, Helm, Crossplane) to enhance automation and consistency.
Mentorship & Team Growth: Provide technical mentorship within the platform engineering team and contribute to knowledge-sharing across R&D.
Cross-Team Collaboration: Work closely with engineering teams to align cloud infrastructure goals with business needs and reliability requirements.

We are seeking a DevOps Engineer with strong experience in managing large-scale data systems and infrastructure. The ideal candidate is passionate about building efficient, scalable, and reliable systems for data-intensive applications.
Responsibilities:
Take an active role across all DevOps areas, including:
Developing and maintaining monitoring and alerting infrastructure to ensure system reliability and performance.
Overseeing the development and upkeep of tools and procedures for monitoring, deployment, and alerting across our SaaS multi-tenant product family.
Design, deploy, and optimize scalable data infrastructure, including data lakes and high-throughput distributed systems.
Ensure reliability and performance in environments processing terabytes of data daily.
Manage, monitor, and maintain self-hosted open-source databases in a Linux environment.
Automate operational tasks and deployment pipelines using Bash and modern CI/CD tools.
Collaborate with Data Engineering and Infrastructure teams to streamline and harden the data lifecyclefrom ingestion to analysis.

We are looking for a Senior DevOps Engineer to join our R&D team in developing the next rising product in the health tech landscape. If you are looking for a challenging, influential position and are passionate about making an impact, this might be the role for you.
As a Senior DevOps Engineer , youll play a key role in the design, development, testing, deployment, and monitoring of our infrastructure and products. In this position, you'll make significant contributions to our observability stack, helping build and maintain robust systems for logs, metrics, traces, and alerting.
Our ideal candidate is passionate about DevOps and observability, has strong communication skills, and thrives on constant improvement for both technology and processes. If you enjoy working on multiple projects in parallel and are a proactive team player, youll fit right in.
This is a unique opportunity to join the core team of a fast-growing startup, where your contributions will have a direct impact on our product and success.
Responsibilities:
Support and collaborate with cross-functional engineering teams using cutting-edge technologies.
Contribute to the design, implementation, and maintenance of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, Loki)
Secure, scale, and manage our cloud environments (AWS and GCP)
Design and implement automation solutions for both development and production
Manage and improve our CI/CD pipelines for fast and safe delivery
Lead best practices in infrastructure, observability, configuration management, and system hardening
Continuously assess and improve existing infrastructure in line with industry standards

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-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are seeking a highly motivated and skilled Release Engineer to join our AIOps group. In this role, you'll play a critical part in bridging the gap between development and operations, ensuring the seamless qualification, deployment, and monitoring of our AI algorithms and infrastructure, and be responsible for the end-to-end operationalization of our core technology.
A day in the life and how you’ll make an impact:
* Manage the end-to-end release process of machine learning algorithms and infrastructure components, from qualification through deployment.
* Validate and test new algorithm releases to ensure they meet performance, stability, and compliance standards.
* Create and execute deployment plans across various environments (staging, production), ensuring minimal risk and downtime.
* Collaborate closely with AI researchers, MLOps, and software engineers to understand release requirements, share feedback, and resolve pre-release issues.
* Identify and drive automation opportunities within the release pipeline to improve efficiency, reliability, and traceability.
* Oversee updates to infrastructure components, ensuring compatibility and performance across systems.
* Monitor deployments, proactively identify issues related to model behavior or infrastructure anomalies, and drive resolution with relevant teams.
* Maintain clear and accurate release documentation, including version history, deployment notes, and incident reports.