דרושים » הנדסה » Principal DevOps Engineer - Kubernetes

We are looking for a highly skilled Senior Developer Integration Automation to join our R&D Integration Automation team. This role is focused on designing, developing, and maintaining advanced automation solutions across unit, integration, system, and end-to-end testing levels.
The ideal candidate is a hands-on developer with strong expertise in Python and Pytest, experienced in building and executing automated tests, and comfortable working with modern CI/CD pipelines and automation tools. The Senior Developer will act as a technical mentor and key contributor, ensuring best practices are followed and test automation is seamlessly embedded into the development lifecycle. Knowledge of RF systems is a strong plus.

Key Responsibilities:
Design, implement, and maintain automation frameworks and test scripts using Python and Pytest.
Write unit tests, integration tests, and regression suites to ensure comprehensive test coverage.
Develop and execute system-level and end-to-end automation, including API and UI layers (Selenium preferred).
Contribute to and optimize CI/CD pipelines (Jenkins, Docker, Git) for reliable and scalable test automation.
Collaborate closely with SW developers, RF, QA, and DevOps engineers to embed automated testing into every phase of the product lifecycle.
Perform code reviews, provide technical guidance, and ensure automation code meets high quality and maintainability standards.
Analyze test results, identify root causes of failures, and drive timely resolution in partnership with development teams.
Continuously evaluate and introduce new tools, libraries, and practices to improve automation efficiency.
Support integration activities and ensure smooth interaction between hardware, software, and automation systems.

We are looking for a highly skilled ATE Developer to join our R&D Automation Test Equipment & Data analysis team. This role is focused on designing, developing, and maintaining advanced end-to-end automation testing solutions to our product (API, HW, OS, system).
The ideal candidate is a hands-on developer with strong expertise in Python, experienced in building and executing automated tests, comfortable working with modern CI/CD pipelines and automation tools ensuring best practices are followed and test automation is seamlessly embedded into the development lifecycle. Knowledge of RF systems is a strong plus.

Key Responsibilities:
Design, implement, and maintain automation frameworks & HW automation production testers using Python.
Develop and execute HW & system-level and end-to-end automation, including API and UI layers.
Building Automation infrastructure for real time data collections and analysis.
Building UI tools for real time data analysis presentation.
Contribute to and optimize CI/CD pipelines (Jenkins, Docker, Git) for reliable and scalable test automation.
Working closely with SW developers, RF, and DevOps engineers.
Perform code reviews, provide technical guidance, and ensure automation code meets high quality and maintainability standards.
Analyse test results, identify root causes of failures, and drive timely resolution in partnership with development teams.
Continuously evaluate and introduce new tools, libraries, and practices to improve automation efficiency.

Required DevOps Engineer AI Testing Infrastructure
Job Summary
As a DevOps Engineer at the AI Testing & Workflow Validation team, you will design, test, and maintain the systems and pipelines that support AI-driven workflows. Youll ensure prompt-powered features are deployed, monitored, and validated reliably at scale across multiple environments. This role blends expertise in prompt engineering with deep knowledge of infrastructure automation, CI/CD, and system observability.
We are seeking highly experienced professionals with at least 7 years of hands-on expertise in the areas described.
What you will do:
Develop and maintain CI/CD pipelines for prompt-driven workflows and AI-generated code validation.
Create infrastructure-as-code and automation scripts (e.g., Terraform, Ansible) to provision, configure, and monitor validation environments.
Build tools and frameworks for continuous prompt testing, performance tracking, and failure analysis.
Implement observability and alerting for prompt workflows, capturing metrics such as latency, accuracy, and error rates.
Integrate security and compliance checks into the prompt development lifecycle, especially for generated code execution.
Collaborate with engineering, QA, and platform teams to ensure prompt workflows are seamlessly integrated into existing systems.

We are seeking a talented and passionate DevOps Engineer to join our team. If you excel at creative problem-solving, thrive in a fast-paced environment, and are eager to collaborate with distributed teams, we want to hear from you!

What Youll Be Doing:
Design, build, and maintain robust HPC and cloud infrastructure utilizing state-of-the-art technologies and cutting-edge hardware.
Automate the deployment, configuration, and management of network and compute resources, including bare metal servers, network switches, and VMs.
Develop and streamline CI/CD pipelines to enable continuous integration and delivery for our R&D engineering teams.
Optimize infrastructure for availability, performance, observability, security, scalability, and cost-efficiency.
Collaborate closely with software development teams to integrate automated testing and quality assurance into deployment workflows.
Troubleshoot and resolve issues spanning infrastructure, networking, hardware, and software environments.
Stay current with industry trends and incorporate best practices in DevOps and infrastructure management.

We are looking for a Software Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of hybrid cloud MLOps platforms, contribute to the development of the RHOAI product, participate in open source communities, and be at the forefront of the exciting evolution of AI. Youll join an ecosystem that fosters continuous learning, career growth, and professional development.

As a core developer for one of our OpenShift AI teams, you will have the opportunity to actively participate in one of our component teams as well as the affiliated open-source communities. You will work as part of an evolving development team to rapidly design, secure, build, test, and release new capabilities. The role is primarily an individual contributor who collaborates closely with other developers and cross-functional teams. You should have a passion for working in open-source communities and for developing solutions that integrate us, open-source, and partner technologies into a cohesive platform.

What you will do:

Architect and lead implementation of new features and solutions for RHOAI.

Innovate in the MLOps domain by participating in upstream communities.

Provide technical vision and leadership on critical and high impact projects.

Ensure non-functional requirements including security, resiliency, and maintainability are met.

Write unit and integration tests and work with quality engineers to ensure product quality.

Use CI/CD best practices to deliver solutions as productization efforts into RHOAI.

Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members.

Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements.

Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts.

Give thoughtful and prompt code reviews.

Represent RHOAI in external engagements including industry events, customer meetings, and open source communities.

Mentor, influence, and coach a distributed team of engineers.

The Ecosystems Engineering group is seeking a Principal Software Engineer to join our rapidly growing team. This is a game-changing opportunity to join an open-source AI platform that harnesses the power of hybrid cloud to drive innovation. In this role, you will work with a diverse team of highly talented engineers on designing, implementing, and productizing new AI solutions, with a focus on deep integration of the AI stack, hardware accelerators, and leading OEMs and Cloud Computing Service Providers (CCSPs).

You'll play a critical role in shaping the next generation of hybrid cloud platforms by directly contributing to our innovative AI and Edge products. This is your chance to be at the forefront of AI's exciting evolution, joining an ecosystem that champions continuous learning, career growth, and professional development. You'll also collaborate closely with product management, other engineering teams, and key partners and lighthouse customers.

What You Will Do:

Architect and lead the implementation of new features and solutions for our AI and Edge products.

Explore deep code integration into various products, ensuring optimal integration between the company`s portfolio, hardware accelerators and partners.

Provide technical vision and leadership on critical and high-impact projects, ensuring non-functional requirements including security, resiliency, and maintainability are met.

Integrate software that leverages hardware accelerators (e.g., DPUs, GPUs, AIUs) and perform performance analysis and optimization of AI workloads with accelerators.

Work with major AI and hardware partners such as NVIDIA, AMD, Dell, and others on building joint integrations and products.

Collaborate closely with UX, UI, QE, and cross-functional teams to deliver a great experience to our partners and customers.

Coordinate with team leads, architects, and other engineers on the design and architecture of our offerings.

Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and respond to security threats.

Mentor, influence, and coach a distributed team of engineers, contributing to a culture of continuous improvement by sharing recommendations and technical knowledge.

Were looking for a Principal Software Engineer to join our AI Catalyst Platform team as a key enabler for rapid AI prototyping and operational efficiency. This role focuses on providing technical and operational support to the AI Catalyst team, which explores upstream AI initiatives and drives innovation across the organization.

Youll help accelerate the development of AI prototypes by ensuring seamless platform integration, CI/CD pipelines, and other critical infrastructure to enable high-speed experimentation and iteration.

What youll do:

Platform Support and Optimization: Design and maintain scalable, secure, and efficient platforms to support AI Catalyst team initiatives, ensuring smooth integration of AI models and workflows.

Infrastructure Management: Provide expertise in Kubernetes and cloud platforms (GCP, AWS, Azure) for container orchestration, scalable deployments, and real-time operations.

Partner with the AI Catalyst team to identify bottlenecks, remove blockers, and optimize workflows for faster delivery of AI prototypes.

Technical Leadership: Lead the implementation of critical systems (APIs, orchestration, observability, deployment) to ensure speed, reliability, and maintainability.

Cross-Functional Collaboration: Work closely with engineering, product, and design teams to align technical priorities and drive impactful AI initiatives.

Mentorship: Guide and mentor engineers, fostering a culture of technical excellence, collaboration, and rapid execution.

Demonstrate proficiency in Kubernetes for container orchestration and scalable deployments.

Mentor senior engineers and contribute to a culture of technical excellence, velocity, and pragmatic decision-making.

Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.

Explore and experiment with emerging AI technologies from the open source communities relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.

We are seeking a motivated and hands-on IT Software Engineer with 25 years of proven experience in AI development. As part of our IT development team, you will design, build, and deploy AI-powered applications and solutions that drive innovation and improve business productivity. You will work closely with software engineers, business analysts, and business stakeholders to implement AI models, agents, and copilots using modern tools and platforms.
This is a great opportunity for someone passionate about AI, who enjoys building practical solutions and growing their expertise in enterprise-scale environments.
How will you make an impact?
Be an active member of the IT development team, contributing to design, coding, and deployment of AI-driven solutions.
Develop and implement AI agents, copilots, and automation workflows using tools such as Microsoft Copilot Studio, Azure OpenAI, Azure AI Foundry, and Python.
Integrate AI models and components into existing applications, systems, and business processes.
Write clean, maintainable, and efficient code for AI-driven features and applications.
Apply prompt engineering techniques to optimize large language model (LLM) performance.
Collaborate with cross-functional teams (data engineering, product, business) to translate requirements into working AI solutions.
Participate in code reviews, testing, debugging, and deployment of AI applications.
Stay up to date with emerging AI technologies and contribute ideas for their adoption.
Support the monitoring and maintenance of AI models in production, including performance tuning and troubleshooting.

We are looking for an experienced Security Architect to lead the design and implementation of secure development practices across our product architecture and engineering workflows. This is a hybrid role combining deep technical security expertise with product-style ownership of internal security initiatives.
As a core member of our Platform and Security group You will also play a key role in ensuring our product is robust and resilient against modern security threats. You will help define security policies, integrate tools such as SCA, SAST, and other security platforms, lead POCs, and work closely with R&D teams to translate security strategy into concrete workflows and automations.
Key Responsibilities
Security Architecture: Define and enforce security policies across the development lifecycle; guide secure integration of security tooling and practices.
Internal Product Ownership: Act as the product manager for internal security automation define architecture, requirements, and priorities for workflows spanning vulnerability ingestion, risk analysis, validation, and patch integration. Collaborate closely with R&D and platform engineers to drive delivery.
Third-Party Dependency Analysis: Map and assess third-party software usage across product components; identify critical dependencies and their security posture.
Toolchain Strategy & POCs: Lead proof-of-concept evaluations for new security technologies; define onboarding criteria, evaluation metrics, and rollout plans.
DevSecOps Enablement: Partner with CI/CD and platform teams to embed security controls into build/test/release flows (Jenkins, GitHub), including validation gates and audit logging.