לוח משרות דרושים ארכיטקט/ית ענן/Cloud Solutions Architect, לחיפוש זה נמצאו 53 משרות

What You Will Be Doing
Own the co-build agenda with AWS & GCP
Drive our active co-build initiatives with AWS/GCP product and engineering teams from scoping through launch.
Own the technical relationship with AWS/GCP product managers and engineers on the EKS/GKE, Karpenter, and container services teams. Be the person they call, and the person who can answer without scheduling a follow-up.
Track the EKS/GKE and AI/ML roadmap closely enough to tell us what it means. Dynamic Resource Allocation, MIG and time-slicing landing in Karpenter and Auto Mode/Auto Pilot, managed control plane work, and pod isolation all move the ground under our product. You will be the first person to see it coming.
Continuously validate that we run on where AWS/GCP are going, not just where it is. As AWS/GCP abstracts the node further, our agent, our scheduler, and especially our GPU device plugin need to keep working. Confirming that, early, is a standing part of the job.
Bring AWS/GCP requirements and constraints back into R&D as real engineering input, and represent our architecture back to AWS/GCP accurately enough that they design around it.
Look for opportunities to be a design partner and later a launch partner.
Technical depth on us and EKS/GKE
Be the person who can explain how we work on EKS/GKE to any technical audience, without an SE in the room: real-time pod right-sizing, HPA and replica management, intelligent pod placement, Karpenter and node optimization, Spot, and GPU fractionalization and right-sizing for inference workloads.
Hold your own with AWS/GKE Solutions Architects and customer platform engineers on scheduling, autoscaling, resource management, and where our approach differs from static MIG and time-slicing.

We are looking for an experienced AI Solutions Architect to join our team and support the design and implementation of AI solutions across organizational systems.

The role focuses on designing AI-based solutions to improve existing business processes, supporting development teams in implementing AI solutions, and defining scalable, secure, and compliant AI architectures.

The position combines AI architecture, Cloud technologies, technical consulting, and cross-functional collaboration. This is not a pure hands-on development role; rather, it requires strong technical leadership, architectural thinking, and the ability to guide development teams throughout the implementation lifecycle.


Key Responsibilities
Design and architect AI-based solutions for organizational and enterprise-wide use.
Support development teams in planning and implementing AI solutions.
Provide technical guidance and participate in POCs, including involvement at the code level when required.
Define best practices and guidelines for the effective use of AI models.
Develop technical procedures and guidelines for development teams while ensuring compliance with regulatory and information security requirements.
Design cross-organizational AI solutions, including solutions for making organizational data and information more accessible.
Work with external vendors and partners on AI-based projects, including technical guidance, coordination, and quality control.
Troubleshoot complex technical challenges and provide architectural solutions.
Lead and coordinate technology initiatives and work closely with multidisciplinary teams.
Support teams in adopting AI technologies and integrating them into existing systems and processes.

Location & Work Model:
Jerusalem, Israel.
On-site position, according to project requirements.

In this role, you will be responsible for designing, building, and implementing robust, secure, and highly scalable cloud architectures. You will work closely with clients to understand their business and technical needs, formulate cloud strategies, and lead complex cloud migration and modernization projects. Your expertise will enable our customers to leverage the full potential of the cloud to drive innovation and business growth.

Key Responsibilities:
Collaborate with clients to gather requirements, define their cloud strategy, and understand their business challenges.
Design and architect scalable, highly available, and secure cloud-native environments and enterprise-grade infrastructure.
Lead cloud migration initiatives, including re-hosting, re-platforming, and refactoring applications for the cloud.
Conduct Well-Architected reviews to ensure existing cloud environments are optimized for security, reliability, performance, and cost-efficiency (FinOps).
Design and implement Infrastructure as Code (IaC) to automate the provisioning and management of cloud resources using Terraform.
Provide technical leadership and guidance on cloud security best practices, networking, and identity and access management (IAM).
Stay up-to-date with the latest cloud trends, emerging technologies, and new services offered by major cloud providers.

We are looking for a hands-on Enterprise AI Solutions Architect to own the technical design and delivery of end-to-end AI solutions for complex Enterprise customers. You will work directly with customers to translate business, data, security, and technical requirements into scalable, production-ready AI architectures.

Key Responsibilities
Lead technical discovery and translate business requirements into end-to-end AI solution architectures.
Design solution components, data flows, integrations, model interactions, and operational workflows.
Define the right AI approach, including RAG, agentic workflows, orchestration, model selection, evaluation, and fine-tuning, balancing quality, security, scalability, latency, and cost.
Design integrations with customer systems, APIs, data sources, identity services, and IT infrastructure.
Define evaluation, guardrails, observability, monitoring, governance, and security requirements.
Lead architecture workshops and technical discussions with customers and internal teams.
Provide technical leadership to Development and Delivery teams throughout implementation, troubleshooting, and production readiness.
Build prototypes and POCs, troubleshoot technical issues, and validate architectural decisions through code when needed.

Required SoC Chip Architect, Cloud, Silicon
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As an SoC Chip Architect, you will lead the definition of groundbreaking, high-performance custom silicon and multi-chiplet systems for our Cloud AI infrastructure. You will bridge the gap between hyperscale data center workload requirements and silicon implementation across various domains, collaborating with cross-functional partners to design scalable, energy-efficient, and feature-rich SoCs.
You will be part of a team pushing the boundaries of custom silicon engineering, architecting next-generation data center products that deliver industry-leading performance, low latency, and massive bandwidth for Cloud and our flagship AI services.
Responsibilities
Lead top-level SoC architecture across multiple disciplines, including IP architects, digital design, verification, physical design, validation, firmware, power management, security, and system software.
Architect and analyze complex multi-chiplet systems, including chip partitioning, die-to-die (D2D) interconnects, advanced packaging constraints, and high-performance on-chip fabrics (NoC).
Define top-level SoC subsystems, memory hierarchies, clock distribution, reset schemes, and power domains to ensure optimal system performance and operational efficiency.
Formulate end-to-end operational flows, latency models, and system throughput analyses for data center workloads.
Own the SoC architecture specification and lead it throughout the complete product life-cycle: concept, modeling, implementation, tape-out, and post-silicon bring-up.

Requred SoC Power Architect, Cloud, Silicon
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As a Power Architect, you will not just design chips; you will define the energy efficiency of the infrastructure that powers our services worldwide.
In this role, you will be at the intersection of architecture, logic design, physical implementation, and system software. You will own the power architecture for next-generation custom SoCs (System on Chips), making critical trade-offs between performance, thermal constraints, and power delivery to build the most efficient computing platforms on the planet.
Responsibilities
Define and own the SoC power architecture, including complex power domains, clocking structures, and power delivery network (PDN) solutions to achieve optimal performance-per-watt.
Architect sophisticated power management policies, including dynamic voltage and frequency scaling (DVFS), power gating, and state strategies. Define the hardware/software interface for the Power management unit (PMU) and provide power management specifications.
Lead collaboration across architecture, RTL, physical design, packaging and validation teams to establish power budgets and specifications. Ensure power requirements are met from concept to tape-out.
Develop high-fidelity power and performance models to evaluate architectural features early in the design cycle. Drive pre-silicon power estimation and analysis to guide design decisions.
Lead post-silicon power analysis, correlating lab measurements with pre-silicon models to close the loop and improve future methodologies.

Required Networking Silicon Architect, Cloud
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As a part of the team, you will define solutions for high-performance network accelerators and interconnects in data centers. You will have dynamic, multi-faceted responsibilities in areas such as project definition, with close collaborations with data center systems and Software teams. You will participate in the design, architecture, documentation, and implementation of the next generation of data center networking infrastructure.
You will be responsible for performance analysis for an end-to-end networking stack using your deep knowledge of high speed network infrastructure.
We're behind groundbreaking innovations, empowering the development of AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Cloud, Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Evaluate different silicon solutions for executing our data center networking roadmap, off-the-shelf components, vendor co-developments, custom designs, and advanced silicon integration technologies.
Design high-performance hardware/software interfaces.
Collaborate closely with system, software, verification, emulation, physical design, packaging, and silicon validation stakeholders to ensure that designs are complete, correct, and performant.
Drive vendor execution in various engagements: standard component roadmaps, build to specification, and co-developments.
Contribute to the evaluation of future ASIC designs and general architecture.

Were looking for a Solution Architect to bridge the gap between complex AI security challenges and real-world enterprise implementations. In this role, you will work closely with customers, Product, R&D, and Sales to design scalable, secure, and high-impact AI security solutions.

This is a strategic, customer-facing, and hands-on role where you will own the technical design of enterprise deployments and play a key part in shaping how our platform delivers value in production environments.

What Youll Do:

Own Customer Solution Design

Lead technical discovery sessions with enterprise customers to deeply understand their AI usage, architecture, and security requirements.

Design end-to-end solution architectures tailored to customer environments (cloud, hybrid, on-prem).

Translate security and governance needs into scalable technical implementations.

Be the Technical Bridge

Work closely with Sales during pre-sale processes to support technical validation and proof-of-value engagements.

Partner with Product and R&D to communicate field feedback and influence roadmap priorities.

Ensure smooth handover from pre-sale to post-sale implementation and ongoing optimization.

Drive AI Security Implementations

Architect integrations across AI systems, LLM applications, data pipelines, model layers, and runtime environments.

Define best practices for secure AI adoption, governance workflows, and observability frameworks.

Guide customers through architecture decisions, trade-offs, and scalability considerations.

Lead Technical Authority

Act as a trusted advisor to CISOs, security teams, and AI leaders.

Support complex technical escalations and architectural challenges.

Continuously stay ahead of trends in AI security, cloud architecture, and enterprise security frameworks.

Were looking for a Senior Customer Solutions Architect to own strategic post-sales relationships and help customers build and mature their AI Security and Governance programs.

This role combines the technical and consultative strengths of a Solutions Engineer with long-term ownership of customer strategy, adoption, and value realization. Youll work with stakeholders ranging from security practitioners to CISOs, continuously discovering new use cases and translating customer priorities into phased plans with clear owners, timelines, and measurable outcomes.

Youll own the overall customer relationship and technical direction, including deployment roadmaps, success plans, quarterly business reviews, and platform expansion after the initial rollout. Sales will own commercial discussions and negotiations.

Youll partner with Customer Engineers on deployment, integrations, configuration, and troubleshooting, while bringing enough technical depth to scope solutions, investigate issues, and challenge assumptions with specific findings.

What Youll Do
Strategic Customer Leadership: Own post-sales relationships for a focused portfolio of enterprise customers, building trusted partnerships across technical practitioners, security leaders, and executives.
Customer Planning & Execution: Build and drive deployment roadmaps and success plans with clear phases, owners, and target dates. Lead quarterly business reviews to assess progress, demonstrate value, and align on next steps.
Discovery & AI Security Advisory: Understand each customers AI environment, security program, priorities, and risks. Work with CISOs, AI governance stakeholders, and architecture teams to translate those priorities into practical implementation plans.
Technical Scoping & Escalations: Scope deployments, review architecture and integration requirements, and use API documentation and logs to investigate issues. Validate assumptions and engage R&D with specific technical findings, clear questions, and well-defined escalation requests.
Value, Adoption & Platform Expansion: Connect customer objectives to Nomas capabilities, define measurable outcomes, and drive adoption beyond the initial rollout. Identify additional workloads, teams, and use cases where Noma can deliver value, coordinating with Sales when commercial follow-up is needed.
Cross-functional Leadership: Coordinate Customer Engineering, Product, Research, Engineering, Security, and Support resources to move customer plans forward, resolve blockers, and bring customer insights back into us.

WHAT YOU WILL DO
Be the expert and escalation point for the most strategic accounts. You're the named CTO Office representative on the deals you're assigned - accountable for whether the deployment succeeds and whether product hears what needs to be heard.
Take on the hardest problems, without notice. When something is blocking a deal or a customer, you don't escalate it. You own it.
Influence the product roadmap. You carry field signal directly into R&D. You're expected to have strong opinions about what should move and why.
Build what doesn't exist yet. If we needs it and it isn't there, you build it.
Produce technical content. Whitepapers, blogs, and writeups. You help define how the world experiences and understands what we're building.
Travel. Tel Aviv is home base. US customers and industry events are a regular stop.

abra's Cloud division is seeking an AWS Sales Operation to join our team in Raanana. We are looking for an experienced operations professional who will manage onboarding and offboarding processes, handle billing operations, and provide operational support to customers in an AWS environment. Key Responsibilities:
* Work with AWS and Amazon’s Partner Network on day-to-day operational activities.
* Support customer processes, including contracts, signatures and ongoing coordination.
* Work with Salesforce and Monday to update and track opportunities and activities.
* Coordinate opportunities and follow-ups with internal teams.
* Support AWS partner funding programs and related processes.
* Help coordinate the department’s ongoing operational activity and ensure tasks are followed through.
* Work with different teams and communicate with customers, partners and managers.
* Communicate in English with Amazon and business partners

abra is hiring a Microsoft Fabric Architect to join our Data & AI Division! Are you passionate about designing modern cloud data platforms and driving enterprise-scale architecture? Join Abra's Data & AI Division and play a key role in building secure, scalable, and automated data solutions using Microsoft Fabric and Azure. Responsibilities
* Design and implement enterprise-scale data platform architecture using Microsoft Fabric.
* Lead the design and implementation of CI/CD processes, Git integration, and deployment pipelines for Microsoft Fabric.
* Define and promote DevOps, security, governance, and architectural best practices.
* Design cloud-native data solutions leveraging Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage Gen2, and Azure networking (VNet & Private Endpoints).
* Develop and maintain deployment automation using Azure DevOps, YAML Pipelines, ARM Templates, and PowerShell.
* Collaborate with Data Engineers, BI Developers, Architects, and business stakeholders to deliver high-quality, scalable solutions.
* Drive technical leadership, architectural standards, and continuous improvement across enterprise data platforms.

We are looking for a Senior Cloud Infrastructure and DevOps Solutions Architect to join its Infrastructure Specialist Team. Academic and commercial organizations around the world are using our products to redefine deep learning and data analytics, and to power next-generation data centers. Join the team building and advising on many of the largest and fastest AI/HPC systems in the world!

We are looking for someone who combines deep technical expertise with strong consulting and communication skills. This role will engage directly with customers, partners, and cross-functional teams to assess, architect, and guide the implementation of large-scale infrastructure projects. The scope spans system architecture, Kubernetes-based platforms, and automation-serving as both a trusted advisor and a hands-on technical leader.

What Youll Be Doing:

Advise on and help maintain large-scale computational and AI infrastructure, including monitoring, logging, and workload orchestration (Kubernetes and Linux job schedulers).

Provide consultative guidance and perform hands-on troubleshooting across the full stack-from bare metal and operating system, through the software stack, container platform, networking, and storage.

Assess customer environments and recommend optimized, production-ready Kubernetes-based container platforms integrated with enterprise-grade networking and storage solutions.

Serve as a key technical resource: develop, refine, and document standard methodologies and operational guidelines to be shared with internal teams and customer stakeholders.

Support Development activities and engage in POCs/POVs to validate new features, architectures, and upgrade approaches.

Create and deliver high-quality documentation, including runbooks, onboarding materials, and best-practice guides for customers and internal teams.

Act as the technical leader for assigned customer accounts, providing strategic guidance on DevOps and platform architecture and influencing long-term infrastructure and operations decisions.

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 passionate and experienced AWS Solution Architect to join our dynamic team. In this role, you will play pivotal part in crafting innovative solutions for our clients, showcasing cutting-edge technologies, and driving the adoption of true cloud and cloud-native environments.
Responsibilities
Design and deliver tailored cloud solutions for clients, addressing their unique business needs.
Present and demonstrate innovative technologies and solutions to clients, highlighting their technological value and business impact.
Conduct technical demonstrations (demos) to illustrate the capabilities and benefits of offerings.
Act as a technology evangelist, promoting advancements in public cloud solutions, and cloud native technologies.
Bridge legacy infrastructure environments with public cloud technologies, including Kubernetes, serverless, etc.
Collaborate with cross-functional teams to ensure seamless integration of solutions and customer satisfaction.