דרושים » מחשבים ורשתות » DevOps Engineer, DOCA

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

We are looking for a motivated Senior DevOps Engineer to join our Cortex Devops Production group in our Tel Aviv R&D center. The group is responsible for the reliability and availability of the production environment hosting Cortex XDR and the enablement of the entire XDR RnD group using CI tools, infrastructure, and automation.
In this role you will a part of a DevOps group that is responsible for planning, executing, and reporting the various infrastructure and code projects, as well as managing and executing high-pressure production maintenance work and issues
More information about the Cortex-XDR product can be found here.
Your Impact
You will take full end-to-end responsibility for the production environment of our SaaS product deployed on GCP
You will build tools for the automatic remediation of known issues
You will develop Infrastructure-as-code which will be used to orchestrate production and dev environments
You will design, build, maintain, and scale production services with thousands of Kubernetes clusters
You will secure the production environments and add in new security tools and features both internal our company's and other market-leading technologies
You will work closely with development teams to design and enhance software architecture to improve scalability, service reliability, cost, and performance
You will build CI pipelines and automation processes
Participate in the on-call rotation supporting the applications and infrastructure
You will research cutting-edge technologies and deploy them to production.

we are looking for an excellent SW Engineer to join the InfiniBand Switch and NVLink Core FW group in Tel-Aviv / Raanana. As the team member, you will be part of a major development effort for the next-generation networking products. The verification team develops cutting-edge networking features for cloud, HPC and storage. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. Are you ready for the challenge?
What you will be doing:
As a SW Engineer at our company, you will part of a group of firmware verification engineers, using your expertise in C++ and Python in an Agile methodology.
Develop the verification process, aligning with quality standards and project timelines.
Design and implement new features in the core of our company Switch and GPUs
Drive and facilitate the planning, scheduling, and execution of the project and activities of the team
Collaborate with architecture and different software design teams as part of the software development lifecycle.
Work in pre and post-silicon development environments of next-generation our companynetworking products.
Gain a deep understanding of networking technology, system debugging and stacks, as well as the HW/FW/SW relationship.
Innovate! Bring our companys FW switching products to shine in customers view.

This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
The DevOps Engineer position is an operational engineering role and is an integrated part of our development team. You will be responsible for improving the efficiency of our processes, software, and infrastructure, and will be assisting RnD Team with product development. If you are DevOps Engineer that is passionate about automating and scaling everything, this job is for you.
Responsibilities
Monitor and optimize cloud infrastructure for performance, scalability, and cost-efficiency.
Manage and Maintain CI Infrastructure (GitLab CI and Jenkins).
Manage, Maintain and Improve our Release and Development Environments.
Support critical production infrastructure deployed in Multiple Clouds (AWS, Azure, and GCP).
Develop and Support RnD toolchain and implement best practices for code deployment, testing, and maintenance.
Automate On-Premises Labs Infrastructure by adopting IaC practices.
Lead and Develop Monitoring, Telemetry, Alerting, and Logging Production services.

were looking for a DevOps engineer to take the lead on one of the most critical technical challenges in our business: how we deploy software at scale.
Today, deploying our core system into each store is a complex, multi-stage process. Tomorrow, it needs to be seamless, automated, and capable of onboarding dozens of stores per weekwithout sacrificing versatility and quality
This role isnt just about CI/CD or scripting. Its about refining the automation infrastructure that enables repeatable, self-service deployments across hundreds of live, mission-critical environments. Youll sit at the heart of our Ops Technology team, working at the intersection of system engineering and in-store execution, and serving as the technical backbone for deployment scale.
You'll help shape and evolve our DevOps toolsetworking hands-on with cutting-edge technologies to streamline deployments, boost reliability, and scale our platform with speed and confidence. For the right person, this role is a stepping stone toward technical leadership in one of most strategic teams.
A day in the life:
Design and build the software deployment framework that powers in-store systems at scale
Lead remote deployments using Octopus Deploy, driving repeatability and automation
Set up and manage Kubernetes clusters for scalable microservices in diverse environments
Deploy and monitor services with a focus on resilience, observability, and recovery
Troubleshoot complex issues across CI/CD, environments, services, and infrastructure
Collaborate with System Engineering and SRE peers to ensure smooth end-to-end deployment flows
Continuously evolve our CI/CD pipelines, deployment logic, and infrastructure-as-code practices
Build tooling, templates, and documentation to enable fast, low-touch deployments by others
Serve as a technical leader and force multiplier within the Ops Tech team

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.

We are looking for a Code Infrastructure engineer to join a new initiative in the Cortex XDR agent group.
The Cortex XDR Agent is a disruptive anti-exploit & anti-malware product, is the foundation of most of the Cortex products, providing the boots-on-the-ground for our companys endpoint protection solutions. The new hire will join an initiative across the security R&D group that focuses on agent dev velocity. The new hire will join a task force that sets their own roadmap and focuses on bringing the most value to the developers - increasing velocity and quality.
The role revolves mainly around developing an e2e testing framework, written in Python, setting up innovative CI processes and incorporating 3rd party tools to the development process from design to deployment.
Were looking for a versatile individual whos always looking for ways to improve processes, learn and add new tools and find their own path forward based on developer feedback. The ideal candidate has Python as his strongest language, has experience with CI tools and processes and can learn and utilize new technologies quickly. Finally, the candidate will have many stakeholders across several groups including dev, research, devops, QA and others - We want an individual that can reason and protect the importance of their work while building meaningful and productive relationships with stakeholders.
Your Impact
Build and Maintain Testing Frameworks: The individual will assist in the implementation and management of an end-to-end testing framework using Python, enabling developers to quickly author and run tests on their code both in development and CI.
Support CI/CD Processes: The engineer will help set up and maintain continuous integration and deployment processes, utilizing innovative tools and practices to streamline development and ensure consistent, high-quality outputs.
Boost Developer Efficiency: By contributing to initiatives aimed at increasing development velocity, the candidate will help enhance the productivity of the development team, enabling them to focus on creating valuable product features while reducing time spent on routine tasks.
Collaborate Across Teams: The role involves working with various stakeholders, including development, research, DevOps, and QA teams. The individual will need to effectively communicate and collaborate to understand their needs and help align the infrastructure projects with these requirements.
Learn and Adapt: The candidate will continuously learn new technologies and tools relevant to their role, adapting quickly to changes and integrating new methodologies into the development process to keep it efficient and up-to-date.

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.

Join the company Networking business units IC Silicon Product Engineering team and play a critical role in shaping the quality and success of our next-generation DPU/SoC products. Were looking for a driven and versatile engineer to lead system-level testing across the engineering and production lifecycleensuring our products meet the highest standards before they reach our customers.
This is your opportunity to take full ownership of end-to-end validation processes, work with the latest in high-performance network-on-chip technology, and make a direct impact on the quality of our company's cutting-edge silicon products. Youll collaborate with global, cross-functional teams and drive quality decisions that shape our production and product coverage.
What Youll Be Doing:
Lead and own the full system-level test cycle across the production line (from definition to execution)
Drive cross-functional collaboration with hardware, software, marketing, and operations teams worldwide
Extract key product insights from stakeholders and documentation to design robust test plans
Design and execute automated system-level tests that reflect real-world usage scenarios
Analyze test results, pinpoint root causes of IC issues, and effectively communicate findings
Champion production quality and make sure what we ship is top-tier
Contribute to the products success by ensuring reliable coverage and test effectiveness.

we are leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. we are looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.
our company data center systems, such as DGX and HGX, have become core to our company's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of our company GPUs, our company NVLink, our company InfiniBand networking, our company Grace CPUs, and a fully optimized our company AI and HPC software stack. We are seeking a highly motivated System Software Manager to lead a team driving the development of next-generation communication software and products, building on our industry-leading NVLink and NVSwitch technologies. This role combines technical leadership with hands-on development activities, driving innovation at the core of our companys data center ecosystem.
What you will be doing:
Lead, mentor, and grow your engineering team while overseeing project planning, execution, and ensuring the quality and performance of all deliverables.
Own major features and drive the teams roadmap that aligns with ambitious goals and dynamic customer requirements.
Grow the local team while collaborating with a wide range of crossbusiness unit teams both on-site and locally.
Continuously evaluate and identify opportunities to improve processes, infrastructure, and practices to ensure efficient, transparent, and high-quality team execution.
This is a technical leadership role, with active involvement in feature design and implementation.