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we are seeking a QA team leader! We are looking for an experienced and hands-on QA team leader to manage all software testing activities, from planning to execution, in a dynamic and multi-project environment. This role combines leadership with strong technical involvement in both manual and automation testing, including developing and implementing TEST strategies and infrastructures.

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.

Crossix Data Platform is a framework which connects huge patient healthcare data from multiple sources in a privacy safe method on a daily basis to maintain a current view of the US healthcare market. The result enables two core businesses within our company: Crossix Analytics which is dedicated to advancing healthcare marketing with analytics, innovative planning, targeting, measurement, and optimization solutions; And Compass, which enables clients to study and analyze deidentified healthcare data for various needs. Both businesses are positioned at the center of big data, innovative technology and provide most life sciences companies with insights to help make strategic business decisions and drive improved patient outcomes.

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

At our company, were reinventing DevOps to help the worlds greatest companies innovate and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit, and just all-around great people. Here, if youre willing to do more, your career can take off. And since software plays a central role in everyones lives, youll be part of an important mission. Thousands of customers, including 75% of the Fortune 100, trust our company to manage, accelerate, and secure their software delivery from code to production a concept we call liquid software. Wouldn't it be amazing if you could join us on our journey?
our company Platform Services is one of the main pillars of our companys offerings and long-term strategy. As a Senior Product Designer, youll tackle complex tasks and transform them into intuitive, accessible, and easy-to-use designs. You will work within a product team, leading end-to-end design (UX & UI) from discovery to ideation, testing, and production. You will be a leading part of a growing Design Team that includes Product Designers and UX Researchers within the Platform Services group. Be a part of the global team designing the next generation of the DevSecOps experience.
As a Senior UX/UI Product Designer at our company you will...
Participate in discovery efforts to generate an understanding of user needs and opportunities
Develop design concepts, mockups, and prototypes to effectively validate design ideas, and rapidly test and iterate your designs
Design a pixel-perfect UI to improve user productivity
Work alongside UX researchers, Product Managers, Developers, Technical Writers, and Data Analysts within your squad
Identify opportunities for improvement in work processes and collaborations, and actively lead efforts to promote solutions
Collaborate with other designers to share knowledge and best practices
Work with and contribute to our Design System and ensure user experience consistency across the platform.

Power the Future with Us! A global leader in high-performance smart energy technology, with over 4,000 employees, offices in 34 countries, and millions of products installed in more than 133 countries. Our diverse product offering includes intelligent solar inverters, battery Storage, backup systems, EV charging, and complete home energy management ecosystems. With world-class engineering and a relentless focus on innovation, we are creating a world where clean, green energy from the sun powers our homes, businesses, and communities. We are seeking a Platform Engineering Lead to drive the evolution of our internal platform, ensuring scalability, reliability, security, and an outstanding Developer experience. This is a hands-on leadership role that will influence the entire Software Development Lifecycle (SDLC), shape infrastructure and automation strategies, and mentor a high-performing team working across DevOps, DevSecOps, SRE, and Developer enablement. As a senior technical leader, youll design and implement cloud-native systems, promote DevSecOps practices, and champion continuous improvement in how we build, TEST, ship, and operate software. Key Responsibilities Lead and scale a cross-functional team of platform engineers, DevOps, and DevSecOps professionals, fostering technical excellence and personal growth. Design and optimize cloud infrastructure (AWS, OCI) using modern IaC tools like Terraform, Pulumi, Helm, and ArgoCD to support highly available, secure, and cost-efficient systems. Streamline CI/CD pipelines using tools such as Gitlab, and integrate automated testing, SAST/SCA, and policy controls to enable safe, fast delivery. Own the SDLC platform experience, implementing internal Developer portals, GitOps workflows, and self-service infrastructure to boost Developer productivity. Drive observability and resilience, introducing best practices in monitoring, alerting, chaos testing, and incident response. Collaborate with security and compliance teams to ensure infrastructure and SDLC meet high standards. Engage with R&D leaders to deeply understand product needs, align platform initiatives with business goals, and reduce time-to-value.

Country:
Israel

City:
Herzliya

At our company, were reinventing DevOps to help the worlds greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if youre willing to do more, your career can take off. And since software plays a central role in everyones lives, youll be part of an important mission. Thousands of customers, including most of the Fortune 100, trust our company to manage, accelerate, and secure their software delivery from code to production -- a concept we call liquid software. Wouldn't it be amazing if you could join us in our journey?
At our company, self-service is a top priority, sponsored directly by company Leadership. Content and Self-Service are at the core of our company Customer Success strategy, both internally for our team and colleagues and externally for our customers.
As a Customer Success Knowledge Manager in our company you will...
Transform the way content is presented to our customers by implementing innovative solutions in our Help Center
Manage and direct the creation of professional and creative content
Work with the teams researchers to measure content effectiveness, set targets, and if necessary revise content until user targets are met and engagement increases
Work with the teams developers to automate publication and validation processes
Interact with our company customers to better understand how they use our company content
Foster a culture of knowledge-sharing, contribution, and transparency
Build relationships and identify partners across the organization to help promote a knowledge everywhere approach.

We are looking for an experienced Software Engineer to take part in the design and development of next-generation performance engineering frameworks. In this role, you will focus on Python-based benchmarking and analysis systems, while also contributing to high-performance components in C/C++. Youll work on challenges at the intersection of networking, distributed computing, and AI, building tools that run at scale on clusters, clouds, and data centers.

What you'll be doing:

Design and implement performance benchmarking and analysis frameworks for next-generation AI and HPC workloads.

Work across Python (primary) and C/C++ (for performance-critical modules) to deliver reliable and scalable tools.

Take full technical ownership of our core telemetry engine, including utilizing Jupyter Notebooks and other data analysis frameworks to help performance engineers analyze telemetry results.

Contribute to our DevOps environment, owning the CI/CD pipelines and release processes for your projects.

Drive technical innovation in the performance engineering ecosystem, including taking part in building our next-gen agentic AI assistant.

We are looking for a Manager, Software Verification & Infrastructure Engineering to lead the development and growth of NVIDIAs simulation verification ecosystem. In this role, you will develop and guide a team of talented engineers responsible for designing, building, and scaling the verification infrastructure that underpins NVIDIAs hardware simulation platform. This platform enables engineers across firmware, SDK, and OS domains to develop and validate software without physical hardware dependency - accelerating innovation across the company. Youll combine deep technical expertise with strong leadership and collaboration skills, ensuring your team delivers high-quality, reliable, and scalable verification tools and frameworks.


What Youll Be Doing:

Lead, mentor, and grow a team of software verification and infrastructure engineers focused on simulation quality, automation, and scalability.

Oversee development of multi-node verification systems to validate distributed simulation performance and stability.

Drive the evolution of CI/CD pipelines and automation workflows to ensure fast, reliable delivery of simulation releases.

Collaborate cross-functionally with hardware design, DevOps, firmware, and software teams to align infrastructure improvements and verification methodologies.

Balance hands-on technical contribution with leadership guiding design reviews, architecture discussions, and best practices for verification excellence.

Foster a culture of ownership, continuous improvement, and innovation across the verification organization.

We are looking for a hands‑on Solutions Architect who bridges DevOps engineering and software development. You will own technical deployments, lead customer proof‑of‑concepts (PoCs), and build rapid integrations that showcase the power of our data‑security platformall while acting as the trusted technical face for our US customers.Key Responsibilities
Responsibilities:
Deployment Leadership Design and execute customer deployments: networking, IAM/Entra ID, databases, CIFS/NFS/SMB shares, and multi‑cloud micro‑services using Terraform & CloudFormation.
Customer‑Facing PoCs Lead PoC projects end‑to‑end: scope requirements, manage calls, set expectations, and ensure technical success.
Rapid Integrations & Automation Write Python scripts and REST‑API workflows to deliver one‑off remediation or integration solutions that wow customers (non‑productized).
Technical Troubleshooting Run backend queries, scripts, and toolkit diagnostics to resolve issues quickly when things dont work as expected.
Documentation & Enablement Create and maintain deployment guides, runbooks, and knowledge‑base articles; continuously improve internal toolkits alongside R&D.
Feature‑Request Project Management Triage and shepherd customer feature requests with the Director of Sales Engineering; hand off to Product when roadmap inclusion is needed.

Our Security team is looking for a hands-on Cloud Security Specialist with a strong focus on Identity & Access Management (IAM) to help drive our security posture across cloud environments. In this role, youll be the go-to expert for IAM governance and cloud identity controls across AWS and GCP- enabling secure access at scale, while working closely with security, DevOps, and engineering teams to solve complex security problems.
The ideal candidate is highly motivated, demonstrates a can do' attitude and needs to have a combination of technical and communication skills, as well as the ability to handle a mix of multiple tasks including projects and technical work.
What you'll do:
Build and maintain secure role, permissions, and account structures aligned with least privilege and zero trust principles.
Manage and govern human and non-human (machine) access to sensitive SaaS applications (e.g., Okta, Git, etc.).
Monitor and improve cloud identity hygiene: users, roles, service accounts, federated access, and third-party integrations.
Automate detection and remediation of IAM misconfigurations and over-privileged identities.
Collaborate with DevOps and engineering to embed IAM best practices into infrastructure pipelines and app deployments.
Support incident response and investigations related to IAM abuse, access misuse, or privilege escalations.
Contribute to detection rules, playbooks, and cloud-specific DFIR processes.
Provide guidance during access reviews, role audits, and trust relationship validation.
Lead the design and enforcement of IAM controls across AWS and GCP.