What You'll Do:
Realization and implementation of the architecture on the variety of technological components and services.
Implementation of automations and scripts based on Infrastructure As A Code (for example: Terraform).
Implementation and implementation of protection and security solutions in the cloud.
Maintaining regular interfaces with the security and cloud protection teams in the organization.
Locating and implementing new technological opportunities in the cloud field.
Maintaining regular interfaces with companies and organizations in the cloud field in Israel and in the community.

Workplace: Central area (access to the train).

Job Details
About us: we are a leading provider of cloud infrastructure management and monitoring solutions. We empower organizations to efficiently manage their cloud resources, identify issues, and gain insights. Our service enables businesses to optimize their cloud usage, improve security, and achieve greater operational efficiency.
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 one architect to own both layers. Your foundation is deep platform and DevOps architecture: reliability, scalability, security, and cost efficiency of the cloud platform every R&D team builds on. Your growth edge is the AI layer: designing how agents are orchestrated, how they access tools and data safely, how we evaluate whether they work, and how we govern their cost and behavior in production.

We know agentic AI is a young discipline. We are not looking for a decade of AI experience that does not exist. We are looking for a proven platform architect who has spent the last one to two years genuinely building LLM-based and agentic systems in production, and who wants to own where this field goes inside a company that takes it seriously.

What Youll Do:
Platform & DevOps
Cloud Architecture: Own the architecture of our cloud platform, including GKE fleet design, VPC networking, IAM/Workload Identity, and multi-environment strategies across GCP (and AWS where relevant).
IaC & GitOps: Lead Infrastructure-as-Code (Pulumi, Terraform) standards, ArgoCD deployment patterns, and secure CI/CD paved paths (GitHub Actions, GitLab CI) adopted by all R&D teams.
Reliability & Observability: Own reliability architecture, including Disaster Recovery (DR) strategy and drills, P1 incident reduction, MTTR improvement, and observability platform architecture (Datadog, Prometheus, Grafana, OpenTelemetry) including usage and cost optimization.
FinOps: Drive FinOps as an architectural discipline-rightsizing, idle-resource elimination, unallocated-spend attribution, and cost-aware design reviews using tools like Kubecost or GCP Cost Management.
Agentic AI

Agent Architecture: Design our agentic AI ecosystem, focusing on agent orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen), tool/MCP (Model Context Protocol) interfaces, vector databases/memory strategies (e.g., Pinecone, Qdrant, pgvector), and production AI deployment patterns.
Evaluation & Guardrails: Build the evaluation and guardrail layer for AI in production using frameworks like Ragas, TruLens, or LangSmith. Define permission models, human-in-the-loop checkpoints, audit logging, and policy-as-code for AI usage.
AI FinOps & Monitoring: Own AI cost observability, token spend monitoring, model routing strategies (optimizing for cost/quality/latency trade-offs), and real-time alerting on runaway model usage.
Reference Architectures & Standards: Define reference architectures for teams building AI features, RAG patterns, prompt versioning/management, and model API standards (OpenAI API, Anthropic, open-source models via vLLM/Ollama), driving high-leverage AI automation across R&D.

abra professional services is seeking a Data Analytics Architect / Principal Data Engineer We are looking for a skilled Data Analytics Architect / Principal Data Engineer to lead the organization’s analytics data domain, design large-scale data architecture, build advanced analytical models, define organizational data modeling standards, and implement innovative AI and LLM-based technologies. This role requires deep expertise in data engineering, analytics, BI, SQL, PostgreSQL, data modeling, performance optimization, data governance, and the integration of AI tools into data engineering processes. A full-time hybrid position based in Central Israel. The first 4–6 months will be based in Tel Aviv, followed by a transition to the Lod area. The position includes 1 day a week remote. Key Responsibilities:
* Design and develop data architecture that supports large-scale analytics and business intelligence.
* Lead the design and implementation of complex data models and enterprise data modeling solutions.
* Define organizational standards, methodologies, and best practices in the data domain.
* Optimize database performance, analytical queries, and reporting processes.
* Lead LLM-based development and implement AI tools within data engineering processes.
* Mentor data engineers, conduct code reviews and architecture reviews.
* Collaborate with management and business stakeholders to build a technological roadmap.
* Establish frameworks for data quality and data governance.
* Lead initiatives to improve the reliability and stability of BI and analytics systems.
* Evaluate new technologies and lead the adoption of innovative solutions across the organization.
* Lead the design and implementation of end-to-end analytics platforms.

As a Cloud Architect, you will be responsible for designing, leading, and delivering cloud and on-prem management platforms. Your expertise in interfaces, components, and design patterns will be essential in building high-scale platforms and ensuring technical synchronization across all R&D functions. You will work in intensive collaboration with multidisciplinary interfaces and teams to drive innovation and deliver optimal solutions.

The role
Design, lead, and deliver cloud and on-prem management platforms.
Specialize in interfaces, components, and design patterns.
Lead and perform proof-of-concepts (POCs) for new concepts and approaches.
Build high-scale platforms to meet business requirements.
Technically synchronize all R&D functions to create a complete and coherent solution.
Collaborate intensively with multidisciplinary interfaces and teams.

Our Cyber & Cloud Security Department is seeking a Cloud Security Architect to join us.
This role focuses on leading and advising clients and internal teams on integrating information security into complex technology, cloud, and digital transformation projects.
Responsibilities:
Lead security architecture and cloud security workstreams in complex technology projects, including cloud migrations, modernization programs, and digital transformation initiatives.
Design and define end-to-end security architectures across Azure, AWS, hybrid, and on-premises environments.
Lead cloud security architecture reviews and advise clients on the secure adoption of cloud-native services and security controls.
Provide expert guidance on Security by Design, Privacy by Design, Zero Trust architecture, and emerging domains such as AI Security.
Conduct risk assessments, threat modeling, architecture reviews, and technical security assessments.
Define security requirements and protection strategies for applications, cloud platforms, infrastructure, identities, and data.
Support the implementation of security solutions and oversee security testing and validation activities.
Support RFP processes, vendor evaluations, and technology selection from a security architecture perspective.
Collaborate closely with development, product, infrastructure, cloud, and DevOps teams to embed security throughout the delivery lifecycle.

We are looking for a highly analytical, deeply technical, and proactive Senior Salesforce and Business Applications Analyst to join our team. In this role, you will champion an AI-first approach, leveraging AI across every aspect of your work to optimize efficiency and drive innovation.
You will bridge the gap between business needs and technical execution, taking full ownership of complex systems and driving end-to-end processes. Your focus will be on supporting, enhancing, and automating our operations across various Gett business domains, including Sales, Service, and Marketing.
This hands-on role encompasses managing daily system maintenance, configuring systems, integrating AI-driven workflows, and overseeing projects from inception to completion.
Key Responsibilities:
End-to-End Project Management: Manage complex, cross-functional projects from initial ideation, through requirements gathering, to successful deployment and optimization.
Drive Innovation & Initiative: Act as a proactive change-agent. Identify business gaps, propose innovative solutions, and passionately push new initiatives forward to improve efficiency and performance.
System Ownership: Take full accountability and end-to-end ownership of the systems health, functionality, and alignment with business goals.
Mentorship & Leadership: Guide, mentor, and upskill junior team members, fostering a culture of continuous learning and professional excellence within the team.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of AI-powered vehicle inspection systems, combining computer vision, machine learning, and generative AI. With over $380M in funding and strategic partnerships with Toyota, Amazon, General Motors, JLR, Volvo, and Hertz, our technology is deployed across manufacturing plants, dealerships, wholesale auctions, fleets, and seaports worldwide. Named one of Fast Company's Most Innovative Companies of 2026, our 300+ global employees are solutions-oriented, accountable, and driven by one shared goal: making roads safer for everyone.
We are looking for an experienced Data Engineering Team Leader In this role, you will lead and strengthen our Data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
?A day in the life and how you’ll make an impact:
* Drive the technical strategy and roadmap for the data engineering function, ensuring alignment with overall business objectives.
* Own the design, development, and evolution of scalable, high-performance data pipelines to enable diverse and growing business needs.
* Establish and enforce a strong data governance framework, including comprehensive data quality standards, monitoring, and security protocols, taking full accountability for data integrity and reliability.
* Lead the continuous enhancement and optimization of the data analytics platform and infrastructure, focusing on performance, scalability, and cost efficiency.
* Champion the complete data lifecycle, from robust infrastructure and data ingestion to detailed analysis and automated reporting, to maximize the strategic value of data and drive business growth.

Required Staff Architect, Digital Signal Processing, Cloud
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.
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 Staff Engineer on the Digital Signal Processing team, you will be a technical leader responsible for architecting and developing the core algorithms that power our next-generation data center interconnects. You will leverage your expertise in communication theory, forward error correction (FEC), and modulation to design novel, low-complexity solutions that push the boundaries of speed and reliability.
In this role, you will not only define the technical direction for critical projects but also mentor other engineers and collaborate across hardware and software teams to bring your goal to life in silicon.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Lead the architecture, design, and implementation of digital signal processing (DSP) algorithms for high-speed optical communication systems. Drive the long-term technical roadmap for our signal processing and communication architectures by staying current with academic and industry trends.
Develop and analyze novel forward error correction (FEC) and modulation schemes to optimize for performance, power, and complexity tradeoffs.
Create comprehensive system-level models using tools like Matlab, Python, or C++ to simulate and validate algorithm performance.
Collaborate closely with logic design, verification, and software teams to ensure the successful implementation, integration, and bring-up of algorithms in custom silicon.
Provide technical leadership and mentorship to a team of DSP and communication systems engineers, fostering innovation and engineering excellence.

We are seeking a passionate and experienced Solution Architect ( Presale ) - Cloud Specialist 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 our 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.