דרושים » מחשבים ורשתות » Senior Solutions Architect, DevOps

As a Software Solution Architect, you will lead the transformation of AI infrastructure. Our NVIS team focuses on developing the next generation of NVIS Central, an agentic software platform with tools, services, and AI agents that automate, simplify, and speed up the work of our delivery organization. This role offers an outstanding chance to create and build LLM-powered agents that improve execution visibility, cut down manual tasks, and standardize workflows. These efforts allow NVIS to grow quickly and with high quality. Join us to bring up, validate, optimize, and upgrade large-scale AI Factory infrastructure for some of the worlds most advanced accelerated computing environments!

What you'll be doing:

Compose, build, and productionize agentic AI solutions, tools, and applications for the NVIS delivery organization.

Develop LLM-based agents, skills, tool-calling workflows, orchestration logic, backend services, APIs, data pipelines, and automation features as part of NVIS Central.

Translate field, delivery, operations, and product needs into clear technical builds, agent workflows, and working software.

Develop agents that can reason across project data, knowledge bases, operational systems, logs, reports, and delivery workflows.

Build workflows that help NVIS teams identify risks, summarize project status, automate repetitive tasks, improve readiness visibility, and simplify handoffs.

Work with timely engineering, retrieval-augmented generation, context management, agent memory, function calling, evaluations, and guardrails to build reliable AI systems.

Integrate LLMs and agents with internal systems, project data sources, knowledge repositories, reporting tools, and operational workflows.

Collaborate closely with software developers, architects, product managers, DevOps/SRE, and NVIS field teams to successfully implement reliable and scalable solutions.

Contribute to engineering guidelines, including code quality, testing, CI/CD, observability, documentation, security, and production support.

We are seeking a senior, hands-on End-to-End Architect to define and drive system architecture for next-generation AI and accelerated computing platforms. Join our E2E Architecture group, where we build large-scale solutions that bring together high-capacity communication systems, software, physical devices, and infrastructure.

In this role, you will own system-level architecture across multiple technologies and organizational boundaries. You will interpret product and business requirements to develop complete architectural solutions, identify gaps across system components, and drive technical alignment from early definition through productization and deployment.



What Youll Be Doing:

Define end-to-end system architectures for Spectrum-X solutions, covering networking, software, hardware, infrastructure, and application integration.

Lead architecture tasks for the entire solution lifecycle, from requirements and system definition through implementation, validation, deployment, and optimization.

Collaborate with systems, software, model, networking, platform, and application teams to deliver integrated, high-performance solutions.

Evaluate and integrate new software and hardware technologies relevant to core Spectrum-X capabilities, including load balancing, telemetry, congestion control and more.

Translate product and business requirements into system architecture, component requirements, interfaces, and technical execution plans.

Identify architectural gaps, dependencies, tradeoffs, and performance bottlenecks across the end-to-end system.

Work closely with productization teams, including test, validation, deployment, and support, to ensure the complete solution is reliable, scalable, and ready for production.

Author architecture documents, design specifications, technical requirements, and technical publications.

Provide technical leadership and guidance to engineering teams throughout implementation and integration.

We are looking for a Technical Solution Architect to join our Solutions team. In this role, you will work closely with customers, Sales Engineers, Product, and Engineering to deliver successful Proofs of Concept (POCs) and solve complex technical challenges.

Everyone in our company is a builder. In this role, youll contribute directly to the platform by building product features, developing proof-of-concepts for customers, and creating internal tools that improve, streamline, and accelerate the POC process.

This is a highly hands-on position for someone who enjoys diving deep into customer environments, working with data, building technical solutions, and creating value beyond the product itself. You'll play a key role in helping enterprise customers realize the full potential of our AI security platform while influencing product direction through real-world customer feedback.


What You'll Do
Lead the technical execution of customer Proofs of Concept (POCs), from initial design through successful delivery.
Partner with Sales Engineers to provide deep technical expertise throughout the sales cycle.
Build tools to accelerate deployments and demonstrate customer value.
Participate in customer workshops, architecture discussions, and live debugging sessions.
Analyze raw customer data to uncover insights and validate platform capabilities.
Design creative technical solutions that address customer use cases, even beyond the platform's out-of-the-box capabilities.
Troubleshoot complex technical issues across customer environments and work closely with Engineering to resolve them.
Collaborate with Product and R&D to communicate customer feedback and influence future product capabilities.
Build technical best practices, reusable assets, and implementation playbooks to improve future deployments.
Serve as a trusted technical advisor throughout the customer journey.

We are is looking for a strong technical senior architect to join us in shaping the future. Senior Architects are innovators who can translate business needs into workable technology solutions. Their expertise is deep and broad. They are hands on, producing both detailed technical work and high-level architectural designs.

As a Senior architect in the AI Networking Research team, you will explore technological challenges on accelerate networking and building AI data centers. Research new transport functions and semantics for optimizing AI workloads, AI systems communication and accelerations and much more. You will also be leading architectural and development efforts across numerous technological fields, related to the modern AI data center, such as distributed AI and deep learning solutions, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, storage, and more.

What youll be doing:

Enhance our GPU Networking offerings for accelerating AI workloads, such as our Dynamo, our NIXL and our UCX, tailored to the unique requirements of AI workloads.

Co-design hardware features (e.g., in GPUs, DPUs, or interconnects) that accelerate data movement and enable new capabilities for inference and model serving.

Identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value.

Lead architecture and design of new technologies and innovations such as runtime systems, communication libraries, AI-specific technologies.

Lead proof-of-concept development to evaluate and drive such technologies.

We are seeking a skilled and adaptable Solution Architect to manage deep technical engagements during both pre-sales and post-sales activities. This role focuses on ensuring smooth deployment, addressing post-sales technical challenges, and delivering long-term value to customers by leveraging our advanced cybersecurity solutions.
Responsibilities
Build and maintain strong relationships with customers, serving as their trusted technical advisor to understand and address their needs, challenges, and goals.
Collaborate with internal teams, including Research and Development (R&D) and Product, to align solutions with customer needs.
Assist in the technical aspects of Proof of Concepts (PoCs) and lead pre-deployment readiness.
Drive post-sales success by solving complex technical issues, and implementing solutions in collaboration with customer and internal teams.
Proactively identify and communicate opportunities for improving customer security posture through solution enhancements and integrations.
Conduct technical training sessions for customer teams to ensure seamless adoption and effective use of our platform.
Stay informed about the latest trends and technologies in cybersecurity, networking, and AI to provide cutting-edge solutions to customers.

The Software Architect role involves defining, leading, and evolving the technical architecture of our flagship product. Youll be the driving force behind critical architectural decisions, ensuring our systems are scalable, reliable, and secure. This is a hands-on leadership role where youll balance long-term architectural vision with the immediate needs of delivery.

Beyond designing robust solutions, youll play a key role in shaping our engineering culture. Youll provide technical guidance across the entire software development lifecycle, and collaborate closely with cross-functional teams, including DevOps, QA, Automation, Product, Support, Sales, and Engineering leadership.

Key Responsibilities
Define and evolve the technical architecture of our product across its SaaS, client-server, and multi-OS deployments.
Ensure the scalability, security, performance, and maintainability of our microservices-based systems.
Lead the technical design and execution for new features, from initial concept to final deployment.
Collaborate with DevOps on containerization, orchestration, and advanced CI/CD pipelines (e.g., Docker, Podman, Kubernetes).
Partner with QA & Automation to guarantee testability, resilience, and high-quality delivery.
Work closely with product teams to translate business requirements into robust technical solutions.
Mentor and provide technical guidance to developers, team leaders, and group leaders to foster a strong engineering culture.
Drive the adoption of architectural best practices in code quality, design patterns, and system integration.
Collaborate with Support & Sales to understand customer needs and inform architectural improvements.
Serve as the technical authority for governance, reviewing designs, enforcing architectural guidelines, and ensuring consistency across all engineering teams.
Our Tech Stack
Languages: C#, Python, TypeScript (Angular)
Database & Storage: PostgreSQL, Elasticsearch, Redis (DB, Cache, Streams)
Containers & Orchestration: Docker, Podman, Kubernetes
Architecture: SaaS, Microservices, Multi-OS deployments, High-scale Client-Server systems

We are seeking a Product Technical Architect to join our CTO Experts team, an exclusive and global group. Our mission is to spread the power of our company by mastering the product inside and out, guiding the world's leading cloud security teams to secure their cloud using an entirely new security approach. This role combines deep technical ownership with hands-on execution, driving product innovation and strategic influence while serving as a key bridge between Product, R&D, and customers, ensuring our technical strategy is aligned with market needs and innovative possibilities.
Responsibilities
Own a critical product technology domain and serve as the top technical authority for product architecture, complex escalations, and field challenges.
Architect and code the connective tissue between our company products and customer's complex, live Enterprise infrastructure.
Proactively identify customer needs and product limitations, and develop tools, automations, analytical engines, and Proofs-of-Concept to address them.
Work closely with the world's leading cloud security teams, meeting directly with strategic customers to understand their challenges and architect bespoke solutions.
Build evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
Leverage product acumen to identify repeatable field patterns and friction points, converting them into reusable modules, architecture blueprints, or formal product feature requests for the Engineering teams.
Co-build with customer engineering teams to instill our company best practices, ensuring long-term project success and high end-user adoption.
Formalize product knowledge for internal and external reference and build knowledge for customers and field technical experts.
Solve complex problems hands-on daily, including modeling customer environments, writing scripts, proving tests, building dashboards, and implementing product improvements.

We are now looking for a Solution Architect - Deep Learning based in Israel. The individual will collaborate with brand-new Agentic and Physical AI tools alongside Machine learning, Deep Learning, and Data analytics to improve workflows and develop groundbreaking solutions. We are widely considered to be one of the technology worlds most desirable employers. We have some of the most dedicated individuals in the world working for us. If you're creative and autonomous, we want to hear from you!

What You'll Be Doing:

Assisting field business development in guiding the customer through the sales process for GPU Computing products, owning the technical relationship and assisting the customer in building innovative solutions based on our technology.

Be a motivating leader in integrating our technology into HPC architectures to support scientific and engineering applications.

Be an internal champion for Deep Learning and Data Science among the technical community.

Develop demo solutions and showcase to the AI ecosystem.

We are seeking a sharp, innovative, and hands-on Architect to help shape the future of LLM inference at scale. Join our dynamic E2E Architecture group, where we build ground breaking systems powering the next generation of generative AI workloads. In this role, you will work across software and hardware domains to design and optimize inference infrastructure for large language models running on some of the most sophisticated GPU clusters in the world. Youll help define how AI models are deployed and scaled in production, driving decisions on everything from memory orchestration and compute scheduling to inter-node communication and system-level optimizations. This is an opportunity to work with top engineers, researchers, and partners across us and leave a mark on the way generative AI reaches real-world applications.

What Youll Be Doing:

Design and evolve scalable architectures for multi-node LLM inference across GPU clusters.

Develop infrastructure to optimize latency, throughput, and cost-efficiency of serving large models in production.

Collaborate with model, systems, compiler, and networking teams to ensure complete, high-performance solutions.

Prototype novel approaches to KV cache handling, tensor/pipeline parallel execution, and dynamic batching.

Evaluate and integrate new software and hardware technologies relevant to Core Spectrum-X technologies, such as load balancing, telemetry, congestion control, vertical application integration.

Work closely with internal teams and external partners to translate high-level architecture into reliable, high-performance systems.

Author design documents, internal specs, and technical blog posts and contribute to open-source efforts when appropriate.

Join a platform engineering team and provide hands-on technical leadership in evolving a Kubernetes-based platform for enterprise network applications, shaping how applications integrate with and operate across cloud, hybrid, edge, and customer-managed environments.

Define platform architecture, technical strategy, and multi-release roadmaps; translate product and operational needs into clear designs and implementation plans.
Design and evolve Kubernetes capabilities, including cluster lifecycle, controllers and reconciliation, custom resources, scheduling, networking, storage, service discovery, and upgrades.
Lead the design and development of shared platform services for connectivity, identity and access management, distributed data, observability, lifecycle automation, and administration.
Improve reliability and security through high-availability design, recovery, backup and restore, capacity planning, production debugging, threat modeling, and vulnerability remediation.
Prepare the platform for future AI workloads through workload isolation, resource governance, secure model serving, telemetry, and accelerator support.
Raise engineering standards through hands-on development, design and code reviews, automated testing, CI/CD, incident analysis, mentoring, and AI-assisted engineering workflows.