לוח משרות דרושים עבודה היברידית

We are looking for a passionate DevOps Team Lead that will be responsible for leading a team of DevOps engineers in the design, implementation, and maintenance of cloud-native application deployment in AWS/Kubernetes.
How will you make an impact?​
In this role you will be responsible for:​
Lead, teach, and grow a team of experienced DevOps engineers and DBAs
Identify and implement process improvements to increase the efficiency of the DevOps team.
Provide technical leadership to the DevOps team, including mentoring and coaching.
Work closely with the engineering teams to define infrastructure needs and provide them with DevOps support and training.
Research and integrate new technologies into our stack
Create and maintain technical documentation
Manage, monitor, scale, and troubleshoot a distributed highly scalable, highly available, customer-facing software stack
Mentor and coach others in the cloud and DevOps tools and practices

We are looking for a passionate Revenue Operations Partner for a temporary position for 10 months. The Revenue Operations division is charged with optimizing and streamlining revenue-related processes.
The team mainly focuses on enhancing the efficiency and effectiveness of the organization's sales, marketing, and field functions.
The ideal candidate is a customer-focused lifetime learner who aspires to help scale a growing GTM team by partnering with key stakeholders as an integrated team member and trusted advisor in the lead to cash process.
How will you make an impact?
In this role you will be responsible for:
Strategic Project Coordination - Drive and manage cross-functional projects within the Revenue Operation division, ensuring alignment with organizational goals, timelines, and objectives.
Revenue Forecasting - Assist Sales teams in building, positioning, adjusting and hitting their forecasts, by acting as a thought partner as well as the liaison between Sales and other key partners involved in the deal structuring process (Finance, Legal, Product, etc.)
Business Support - Assist Sales with managing opportunities, troubleshooting & problem-solving, crafting Quotes, Enterprise Licensing Agreements, and shepherding the ordering & paperwork process
Data-Driven Decision Support - Provide critical insights through reporting & data analysis, enabling informed decision-making for key stakeholders.
Process Efficiency - Spearhead initiatives to streamline revenue-related processes, enhancing operational efficiency, increasing win rates, bolstering pipeline generation quantity & quality, and shortening sales cycles.
Operational Excellence Add value to the cadence in which Sales and leadership run the business as a change agent via best practice sharing and enabling new process adoption.

We are seeking a Senior Product Manager to lead our Software Supply Chain Security (SSCS) solution. This role combines vision and executionbuilding and driving the roadmap in close collaboration with PMs, UX, and R&D. The ideal candidate brings strong expertise in SSCS (including SLSA framework and open-source security tools), a balance of technical and business skills, a data-driven approach and a customer-focused mindset. Youll thrive in a fast-paced environment, seamlessly engaging with developers, customers, and field teams to deliver impactful, secure experiences. If youre ready to make a meaningful impact, wed love to hear from you.
How will you make an impact?
Define and own the product strategy and roadmap for Software Supply Chain Security, aligned with company goals and customer needs.
Lead the end-to-end lifecycle of featuresfrom ideation and requirements through delivery, launch, and iteration.
Collaborate with R&D, UX designers, security researchers, sales, and engineers to anticipate new attack vectors, refine requirements, and ensure feasibility.
Prioritize the product backlog using company strategy, customer feedback, user data, and competitive insights.
Engage directly with customers, partners, and field teams to understand pain points, validate usability, and gather adoption feedback.
Work closely with marketing, enablement, and documentation teams to ensure impactful releases and go-to-market success.
Define and monitor key KPIs such as adoption, detection accuracy, coverage, false positives, and scanning performance.

our Salesforce team is seeking a talented Senior Salesforce Business Analyst to drive various new initiatives in a fun, dynamic, and challenging environment.
How will you make an impact?
Conduct current state business process analysis and recommend future state improvements to support business units needs and Salesforce best practices
Organize and lead requirement meetings with business sponsors, users and other impacted teams.
Proactively search for ways to positively impact your business units success, such as new Salesforce features released, system and process improvements
Implement and/or drive actual implementation/development of an approved solution.
Develop both high-level and detailed business requirements documentation to support business needs and identify appropriate solution(s).
Utilize knowledge of Sales, Marketing & Service Operations busiess processes and tools such as Sales Cloud, CPQ, Service Cloud, Communities and other tools to make recommendations to business and other impacted parties regarding solution options.
Hands-on configuration of all new and existing Salesforce.com features including user management, security, custom objects, page layouts, validations, workflows, flows and other 3rd party applications.
Be a part of ongoing support and maintenance of Salesforce and conduct long-term improvement operations to ensure compatibility with evolving business requirements.

Main Responsibilities:
Responsible for the companys global revenue recognition (ASC 606).
Support period-end consolidation process.
Support period-end close process.
Support preparation of global tax returns and tax provisions.
Work with the company's external auditors during annual audit.
Involvement in cross-functional projects and teams to drive process improvement initiatives.
Support ad hoc accounting and finance-related projects as needed.

Our Global Engineering organization is looking for a Principal Software Engineer to join the Telco Partner Architecture team in Telco Engineering. You will be part of a team responsible for designing and implementing the container platform for 5G telecommunication networks, contributing to industry-leading technologies in the Kubernetes and Telecom ecosystem with Telco Partners in EMEA or APAC, for example CNCF projects, and O-RAN.
As a part of a geographically distributed team, you will work with multiple teams and open source communities around the globe.
To be successful in this role, you will need to have motivation, curiosity, passion for problem solving, and experience with Linux technologies, Kubernetes and open source development models. We can hire you in any EMEA or APAC country where we have a legal presence.
What you will do
Define, contribute to, and collaborate with Telco partners on Blueprints and system architectures pairing platforms with Partner technology
Establish long-term technical relationships with key Telco partners, gathering and analyzing partner requirements and use cases to deliver meaningful business outcomes
Play an active hands-on role in researching and then architecting various OpenShift and Telco specific features into a unified solution, proactively test the involved technologies, experiment and provide demonstrations
Collaborate across teams (Product Management, Engineering, QE, Consulting, Support) to influence future directions and be an advocate for feature development and support needed for strategic partners next generation offerings
Evangelize the team's work through blogs, web postings, or conference talks
Collaborate with cross-functional teams to identify opportunities for AI integration, driving continuous improvement and innovation in engineering practices.

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.

Required AI Automation & Prompt Optimization Engineer
Job Summary
As an AI Automation & Prompt Optimization Engineer on the AI Testing & Workflow Validation team, you will design, test, and refine prompts that enable AI models to generate code and execute automated workflows. Youll work closely with engineering, QA, and product teams to ensure AI-driven features are accurate, reliable, and aligned with user and technical requirements. This role combines creativity in prompt design with rigorous testing and validation practices.
Our commitment to open source innovation extends beyond our products - its embedded in how we work and grow. Our employees embrace change especially in our fast-moving technological landscape and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges.
We are seeking highly experienced professionals with at least 7 years of hands-on expertise in the areas described.
What you will do:
Design, iterate, and optimize prompts for AI-assisted code generation and workflow execution.
Collaborate with product owners, developers, and QA to translate feature requirements into effective prompting strategies and evaluation benchmarks.
Validate AI-generated outputs through structured test cases, regression testing, and performance evaluation.
Build or adapt internal tooling to streamline prompt testing, versioning, and deployment.
Capture insights from prompt performance, including failure modes, and iterate toward more consistent, high-quality results.
Document prompt patterns, metrics, and best practices to support knowledge sharing across the team.

We are looking for a Principal Solution Engineer to join our Ecosystem Engineering team, focusing on the optimization of AI/ML models inference and serving. In this role, you will identify, build, and optimize emerging use-case patterns within the AI and vertical industries. These patterns will leverage our products, partner offerings, and open source projects deployed on our portfolio, with a specific emphasis on model serving, inference, and MLOps workflows. You will collaborate closely with our engineering and product management teams, using insights gained from interactions with partners and customers to influence product adoption and development. As part of a geographically distributed team, you will engage with multiple engineering teams and open source communities globally. Success in this role requires strong motivation, curiosity, a passion for problem-solving, and hands-on experience with Linux technologies and open source.
What you will do:
Identify emerging patterns for applying our offerings to business problems
Discover and describe what differentiates our solutions from competitive alternatives by working directly with key partners and customers who deploy and operate our solutions
Create reference architectures for optimized AI workloads running on/with our portfolio
Create and conduct on-demand demo labs, providing an initial practical experience for key partners and customers
Provide technical vision and leadership on critical and high impact projects
Communicate and promote the results of reference architectures globally through publication of blogs and speaking at webinars and conferences
Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge.

The OpenShift AI team is 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 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 OpenShift team is looking for a Machine Learning Engineer with experience in building, scaling, and monitoring AI/ML systems 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 shape the observability and reliability of GenAI workloads, 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 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:
Architect and lead implementation of new features and solutions for RHOAI, focusing on observability, insights, and optimizations for large-scale GenAI workloads running on Kubernetes
Innovate in the MLOps domain by participating in leading upstream communities such as llm-d
Provide technical vision and leadership on critical and high impact projects
Use CI/CD best practices to deliver solutions as productization efforts into RHOAI
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.
Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements
Collaborate with cross-functional teams to identify opportunities for AI integration within the software development lifecycle, driving continuous improvement and innovation in engineering practices
Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
Represent RHOAI in external engagements including industry events, customer meetings, and open source communities
Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI
Mentor, influence, and coach a distributed team of engineers.