לוח משרות דרושים

The Consulting team is looking for an Architect focused on our Cloud Products to join us in Raanana. In this role, you will specialize in the design and development of cloud-ready Infrastructure and application architectures, including automated container platforms, deployment pipelines. You'll lead the on-site implementation of our technologies like our OpenShift, our OpenShift Data Foundation, our Smart Management and our Ansible Automation Platform. You'll play a key role in the enterprise development of our customers, helping make our solutions both practical and workable for their businesses. You'll work to gain an understanding of customer infrastructure and business needs, make recommendations that resolve their issues, and help them make strategic decisions.

As a Cloud Architect, you will help customers build enterprise applications and capabilities around cloud technologies to streamline development and allow for continuous feature release of Infrastructure and applications.

If you have hands-on devops architecture & design experience and are prepared to work from customer site we'd love to hear from you!


What you will do:

Serve as a subject matter expert at the customer site, with a strong hands-on focus addressing technical, development, and strategic IT requirements through hands-on implementation and direct engagement.

Understand industry practices and our policies, procedures, and values.

Demonstrate good judgment in selecting best methods to obtain solutions.

Implement and integrate our open and hybrid cloud solutions including our OpenShift and other our offerings.

Team up with our customers to rapidly build application prototypes using modern application development practices and open source emerging technologies.

Manage and gain understanding of domains like micro services, API management, and web- scale architectures, DevOps engineering and application delivery, container-based continuous delivery (CD), cloud automation, and everything-as-code.

Collaborate with project and customer team members to meet timelines and goals.

Contribute to project documentation and diagrams, including ticket or bug management.

Mentor and share your knowledge with customers and the existing team.

Define and promote the adoption of automation techniques and DevOps processes to improve the cloud life cycle, including infrastructure and application uptime, availability, and time-to-market.

Implement solutions using cloud technologies, design principles, integration points, and automation methods.

Handle tough problems in an innovative way .

CodeValue is looking for a talented Cloud Software Developer to join our team and take part in an exciting, large-scale defense project.
Key Responsibilities:
* Design and implement cloud-based applications and services.
* Develop and maintain microservices, APIs, and containerized applications
* Write efficient and robust business logic in C++, Java, and Python
* Integrate code into CI/CD pipelines and collaborate with DevOps teams.
* Participate in architecture discussions and contribute to high-level design.
* Ensure code quality, scalability, and security standards are met.

We are seeking a highly skilled and motivated MLOps Engineer to join our team and play a critical role in the deployment, automation, and maintenance of our Machine Learning infrastructure. You will be responsible for ensuring that our ML models move seamlessly from experimentation to production with stability, security, and scalability in mind. You will work closely with data scientists, Machine Learning engineers, and DevOps teams to build robust model pipelines, manage infrastructure across on-prem and cloud, and enforce best practices in version control, model deployment, and compliance. Key Responsibilities: Design, implement, and maintain automated model training pipelines using tools such as MLflow, (Kubeflow, Airflow), or custom orchestrators. Support reproducibility and consistency across model training environments. Implement and manage Artifactory. Establish and maintain model registries to track versions, metadata, and lineage. Automate model promotion through staging, testing, and production environments. Build CI/CD pipelines tailored for ML use cases, integrating model training, validation, deployment, and rollback. Manage and scale infrastructure across cloud platforms (Azure) and on-premise environments Optimize GPU/CPU resource utilization and cost efficiency. Implement auto-scaling and load balancing strategies for ML workloads. Manage version control systems (e.g., Git) and integrate with experiment tracking tools. Handle Storage and retrieval of artifacts (e.g., Docker images, models, datasets) via artifact registries like JFrog Artifactory or AWS ECR.

We are seeking a talented and motivated Infrastructure Engineer to join our growing team. As an Infrastructure Engineer, you will be responsible for designing, developing, and maintaining tools and infrastructure that enable efficient and secure development and deployment processes.
You will work closely with cross-functional teams to understand their requirements and design solutions that meet their needs.
Responsibilities:
Design, develop, and maintain tools and infrastructure that enforce platform standards, ensuring high-quality standards are maintained across the organization
Collaborate closely with cross-functional teams to understand their requirements, provide technical guidance, and ensure successful implementation
Architect and build scalable, reliable, and secure infrastructure solutions that support the company's R&D and DevOps teams
Ensure adherence to security and governance policies to protect company data and systems, ensuring compliance with relevant regulations
Troubleshoot and resolve infrastructure-related issues in a timely manner to minimize downtime and optimize performance
Stay up-to-date with industry trends and emerging technologies in Infrastructure/Platform Engineering and leverage this knowledge to drive innovation and improve processes

we are shaping the future of urban mobility. Since 2007, we've been pioneering innovative solutions for drivers and commuters, starting with our mobile parking payment service. Today, we are a leading smart mobility app that empowers millions of users to effortlessly manage their transportation needs. Our app simplifies hybrid journeys by combining various transportation modes into one convenient platform.
About the Role:
We are seeking a driven and experienced Backend Developer to join our dynamic R&D team at our company. In this role, you will lead complex backend projects end-to-end starting from understanding functional specifications, through writing detailed technical documentation, designing system architecture, developing and deploying high-performance backend services using modern technologies and cloud infrastructure, while closely collaborating with Product, DevOps, QA, and fellow developers to deliver robust and scalable systems, and providing technical leadership through code reviews and mentoring junior team members.
Responsibilities
What youll do:
Lead complex backend projects from functional spec, through writing detailed technical documentation, architecture, development, and deployment.
Build and maintain high-performance backend services using modern technologies and cloud infrastructure.
Collaborate closely with Product, DevOps, QA and fellow developers to deliver robust, scalable systems.
Provide technical leadership, conduct code reviews, and guide junior team members.

We are seeking a highly skilled and motivated MLOps Engineer to join our team and play a critical role in the deployment, automation, and maintenance of our machine learning infrastructure. You will be responsible for ensuring that our ML models move seamlessly from experimentation to production with stability, security, and scalability in mind.
You will work closely with data scientists, machine learning engineers, and DevOps teams to build robust model pipelines, manage infrastructure across on-prem and cloud, and enforce best practices in version control, model deployment, and compliance.
Key Responsibilities:
Design, implement, and maintain automated model training pipelines using tools such as MLflow, (Kubeflow, Airflow), or custom orchestrators.
Support reproducibility and consistency across model training environments.
Implement and manage Artifactory.
Establish and maintain model registries to track versions, metadata, and lineage.
Automate model promotion through staging, testing, and production environments.
Build CI/CD pipelines tailored for ML use cases, integrating model training, validation, deployment, and rollback.
Manage and scale infrastructure across cloud platforms (Azure) and on-premise environments.
Optimize GPU/CPU resource utilization and cost efficiency.
Implement auto-scaling and load balancing strategies for ML workloads.
Manage version control systems (e.g., Git) and integrate with experiment tracking tools.
Handle storage and retrieval of artifacts (e.g., Docker images, models, datasets) via artifact registries like JFrog Artifactory or AWS ECR.

Required Senior AIOps Engineer
We are seeking a highly skilled AI Engineer to join our AI & Data Security Innovation team at the Tel-Aviv R&D center. This team is a specialized unit within the Quality group, focused on creating production-grade AI Innovations that revolutionize our security assurance and development processes. We build the platform and services that power our company's internal AI and Security validation capabilities, enabling our colleagues and customers to work smarter and faster.
We need an experienced engineer with a passion for building, deploying, and scaling our Security AI systems and environment. This is a hands-on role that combines research, devops and data science. The role requires a constant creative trailblazing mindset and novel non-linear thinking. You will develop and enhance complex agentic AI products, architect for scale, and optimize for performance. Additionally, you will be responsible for turning innovative AI concepts into robust, efficient, and reliable services for multiple teams.
Your Impact
Research, Evaluate and leverage the power of AI and LLMS in cybersecurity
Implement and optimize advanced AI/LLM systems, including complex RAG pipelines and efficient multi-tool agentic workflows.
Develop and contribute to AI frameworks and services that provide game-changing capabilities
Transform strategic vision into production-grade reality.
Build, deploy, operate and Maintain the core MLOps infrastructure for our AI services
Perform Data-driven research on big data platforms
See your product going live in a short period of time.

We are looking for a FullStack Team Leader.
Your Impact:
Lead, mentor, and grow a multidisciplinary team (Backend/Frontend/Fullstack developers).
Directly manage team members, facilitating effective prioritization, risk management, and technical decision-making.
Provide hands-on leadership, contributing actively to technical solutions and coding (partial hands-on).
Architect, design, and oversee the development of innovative systems.
Collaborate closely with Product, DevOps, Frontend and Data Science teams to align priorities, ensure efficient development cycles, and achieve cross-functional objectives.
Establish and refine team processes, tools, and methodologies to optimize performance, quality, and stability.
Support team members' professional growth through coaching, mentoring, and continuous feedback.
Act as the primary problem solver and technical resource for the team.

we are shaping the future of urban mobility. Since 2007, we've been pioneering innovative solutions for drivers and commuters, starting with our mobile parking payment service. Today, we are a leading smart mobility app that empowers millions of users to effortlessly manage their transportation needs. Our app simplifies hybrid journeys by combining various transportation modes into one convenient platform.
About the Role:
We are seeking a driven and experienced Backend Developer to join our dynamic R&D team at our company. In this role, you will lead complex backend projects end-to-end starting from understanding functional specifications, through writing detailed technical documentation, designing system architecture, developing and deploying high-performance backend services using modern technologies and cloud infrastructure, while closely collaborating with Product, DevOps, QA, and fellow developers to deliver robust and scalable systems, and providing technical leadership through code reviews and mentoring junior team members.
Responsibilities
What youll do:
Lead complex backend projects from functional spec, through writing detailed technical documentation, architecture, development, and deployment.
Build and maintain high-performance backend services using modern technologies and cloud infrastructure.
Collaborate closely with Product, DevOps, QA and fellow developers to deliver robust, scalable systems.
Provide technical leadership, conduct code reviews, and guide junior team members.

We are looking for a Tech Lead - Data Platform.
As a tech lead, you will take a leading part in designing and building the infrastructure for connecting and analyzing huge, privacy protected datasets in the cloud using Java, Spark and other technologies and mentor team members.
What You'll Do:
Design and develop platform capabilities for scalable data products tailored to enterprise customers
Collaborate with Product Managers, Software Engineers, and DevOps Engineers to gather requirements, create system and feature design documentation, and implement solutions across diverse environments
Write Java-based back-end code, leveraging Spark, various cloud services, and relational databases
Partner with the production team to define solutions, monitor services, troubleshoot issues, and identify cost optimization opportunities
Mentor and guide team engineers, providing support in their daily tasks and development
Build and use monitoring infrastructure to track services, troubleshoot problems, and optimize performance, throughput, and costs
Address privacy challenges to ensure the protection and confidentiality of consumer and patient data

Were looking for a hands-on and experienced Software Development Team Lead to guide a talented team of full-stack engineers working on a modern application built in React, supported by TypeScript-based microservices on Node.js. This role requires a balance of technical leadership, people management, and collaborative problem-solving.
Youll work closely with product managers, designers, and other stakeholders to deliver high-quality features and scalable architecture, while ensuring best practices in engineering and DevOps.
Key Responsibilities:
Lead and mentor a team of strong full-stack developers across the frontend and backend stack
Collaborate with product, design, and QA to plan and execute on sprint goals
Ensure technical excellence through code reviews, architecture decisions, and hands-on contributions
Facilitate agile ceremonies (stand-ups, sprint planning, retrospectives)
Foster a high-performance, learning-driven culture within the team
Own the team's delivery pipeline, including CI/CD, testing, monitoring, and performance optimization
Identify and resolve tech debt, architectural bottlenecks, or scaling issues
Champion code quality, security, and performance best practices

Required Customer Support Specialist - Student Position
As a Tier 1 Customer Support you will be responsible for:
Be the first line of defense and escalation for any technical issues
Elegantly handle customer requests and maintain our SLA & customer satisfaction
Escalate and own issues internally and externally with service providers / partners
Extend our knowledge base
Work across departments (Engineering, DevOps, Prof Services, etc.) to resolve customers issues.