לוח משרות דרושים הייטק

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 Red Hat, open-source, and partner technologies into a cohesive platform.

What you will do
Contribute to the architecture, design, development, and testing of new features and solutions for RHOAI

Innovate in the MLOps domain by participating in upstream communities

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 and guide other engineers

As a core ML engineer for one of our OpenShift AI teams, you will have the opportunity to design and build systems that monitor, validate, and improve AI model performance in production. 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 ML engineers, software developers, and cross-functional teams. You should have a passion for observability, MLOps, and building robust systems for real-world AI.


What you will do

Design and build observability and optimization tools for large-scale GenAI workloads running on Kubernetes

Develop systems to collect and analyze model performance metrics, logs, and resource usage in real-time

Innovate in the MLOps and AI observability domain by contributing to upstream communities

Collaborate with product, engineering, and research teams to improve model trust and performance

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

Use CI/CD best practices to deliver solutions into RHOAI as part of our productization efforts

Contribute to a culture of continuous improvement by sharing technical knowledge and insights

Communicate effectively with stakeholders and team members to ensure visibility of ML performance

Represent RHOAI in external engagements including open source communities and customer meetings

Mentor and guide junior engineers and contribute to team growth

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 Red Hat, 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

This position calls for a creative, adaptable engineer who is eager to learn new technologies and thrive in a dynamic, open source-oriented culture. You will be part of a centralized Red Hat performance engineering team that fosters innovation and collaboration to achieve world-class AI performance.

What you will do:

Design performance test plans for new MLPerf Training and Inference suites (datacenter & edge) covering LLMs primarily.

Execute accuracy, performance and power submissions; triage regressions and drive improvements using LoadGen logs, traces, and other profiling tools.

Build and maintain highly optimized container-based harnesses (Podman/Kubernetes) for benchmark execution, dataset pre-processing steps and compliance checks for reproducible CI execution.

Profile kernels, GPU runtimes and distributed collectives; propose patches to Red Hat AI software stack to remove bottlenecks revealed by results.

Represent Red Hat in working groups; upstream fixes and new benchmark proposals.

Present results and best practices at premier open source and industry conferences; author technical blogs and white papers that translate benchmark data into customer value.

we are Senior Software Engineer - Ecosystem Engineering
What you will do:

Serve as a technical lead contributing to and directing the efforts of development teams, including internal and external team members.

Integrate changes in multiple projects and services into a consumable feature

Submit patches for bug fixes to the community and review patches from other community members

Work with the Quality Engineering (QE) team to ensure that projects are tested correctly

Publicize the work the team is doing via blogs, web postings, or conference talks

we are looking for a Senior Software Engineer to join our Telco engineering group.
What you will do:
Play an active role and contribute to multiple open source projects and communities like Kubernetes, Red Hat OpenShift, Open vSwitch (OVS), and Open Virtual Network (OVN)

Develop and integrate changes in multiple projects to provide end-to-end solutions

Troubleshoot, analyze bug root causes and provide resolutions

Review design, enhancement proposal and patches from other members

Work with the quality engineering team (QE) to ensure projects are tested correctly

Publicize the team's work through blogs, web postings, or conference talks

In this role, you will collaborate with engineers and global stakeholders to develop, test, and refine solutions for running Oracle workloads including Oracle RAC on Enterprise Linux (RHEL) and OpenShift Virtualization (OCP-V). You will be at the forefront of creating scalable and reliable reference architectures that showcase the value of open source technologies for enterprise-grade Oracle deployments.
What you will do:

Oracle Database and RAC testing on OCP-V and creating reference architecture

Work closely with the virtualisation engineering team and other stakeholders to create and maintain solutions for running Oracle in virtualised environments

Additionally work on Ansible automation roles for Oracle deployments

Contribute to the global knowledge management system

Work with support engineers to solve highly complex and critical issues

Support proof of concepts

In this role, you will play a critical part in ensuring OpenShift, the industry's leading enterprise Kubernetes platform, achieves world-class performance for our telecommunications partners. You will focus on optimizing OpenShift for Telco 5G and future edge computing workloads, including AI applications. If you are passionate about making things fast, scaling systems to their limits, and solving complex problems in a collaborative, open-source culture, we encourage you to apply.

What you will do

Understand the complex architecture of distributed Kubernetes systems and deploy lab environments across dozens or hundreds of nodes that are analogous to customer expectations and demands

Work closely with management, product owners, developers, and quality engineers to understand product requirements and build suitable performance test plans

Simulate real-world workloads to systematically stress environments through comprehensive end-to-end automation, leveraging custom built and state of the art open source tools and frameworks

Deep dive into performance issues with the intent of discovering their root cause on complex distributed systems

Develop and enhance orchestration, benchmarking, monitoring and reporting tools used within and beyond the Performance and Scale teams

Document your research and results clearly and concisely, communicate findings both internally and externally, and provide continuous feedback to Engineering teams and the leadership

We are seeking a Mainframe system team leader
We are looking for an experienced and motivated Mainframe system professional to lead the infrastructure team and manage critical z/OS environments in a high-availability production setting.
Full-time + hybrid position based in Central Israel (Lod)
Key Responsibilities:
* Lead and manage a mainframe infrastructure team and its tasks
* Install, upgrade, and maintain z/OS systems and related components
* Ensure system availability and handle infrastructure incidents
* Collaborate with development, operations, and network teams.

We are Tailor Brands . We built a platform that builds businesses. From launching and managing to growing a business, Tailor Brands is the all-in-one solution that empowers any business owner. Our platform services over 40 million small businesses Our “Guidance Engine” assesses each new business introduced to our platform and devises a tailored plan that allows you to manage all your business needs from a single dashboard Through our business-building platform, we’re turning the process of starting, managing, and growing a business into a better experience and simplifying the business journey. At Tailor Brands, we believe in more than just handing you another tool; we are dedicated to teaching you the art of building a business
?We’re Looking for a Product Analyst – Join Our Data Driven Journey! As a data-driven organization, insights from our Data Team are essential to shape our strategy and improve the experiences of our customers. We’re looking for a highly motivated data analyst to join our team and work in a dynamic Big Data environment You are detail-oriented, analytical, and passionate about understanding user behavior. In this role, you’ll turn data into actionable insights, influence product decisions, and help drive the success of our platform.
Key Responsibilities Analyze user behavior: Monitor and evaluate website activity patterns and user flows to enhance usability and customer experience. AB Testing: Conduct in-depth analysis of AB tests to provide stakeholders with actionable, data-driven recommendations for product and user value enhancements. Metric Monitoring & Insights: Track product performance metrics, identify trends, and raise alerts on significant changes. Perform periodic and ad-hoc analyses to recommend impactful solutions. Visualization & Reporting: Create and maintain dashboards, reports, and daily summaries that present key SaaS metrics and actionable insights. Collaborate Cross-Functionally: Work closely with teams across Product, Marketing, Customer Success, Finance, and Management to support data-driven decision-making.