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14/08/2026
חברה חסויה
Location: Merkaz
Job Type: Full Time
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.
Requirements:
5+ years of experience in Azure cloud architecture, data platforms, DevOps, or related infrastructure roles. 2+ years of hands-on experience with Microsoft Fabric in a senior technical or architectural capacity.
* Proven experience designing and implementing Microsoft Fabric environments, including Git integration and deployment pipelines.
* Strong hands-on experience with Azure DevOps, including YAML Pipelines, ARM Templates, and CI/CD automation.
* Experience with Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage Gen2, and Azure networking (VNet & Private Endpoints).
* Strong understanding of enterprise DevOps principles, cloud security, governance, and infrastructure automation.
* Experience with PowerShell for deployment automation in Azure and Microsoft Fabric.
This position is open to all candidates.
 
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24/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for an experienced Principal AI Architect to join and lead the architectural direction of our products.
In this role, youll define the companys architectural vision, establish engineering standards, and drive technical decisions across multiple R&D teams. Youll work closely with Engineering, Product, DevOps, AI, Security, and Data teams to build scalable, secure, and high-performing solutions while evaluating and adopting cutting-edge AI technologies.
This is a highly strategic and hands-on role, ideal for someone who enjoys solving complex technical challenges, mentoring engineering teams, and shaping the future of modern AI products.
Key Responsibilities:
Define and lead the architectural vision across the organization.
Design scalable, secure, and high-performance distributed systems.
Establish architecture standards, best practices, and technical guidelines across multiple engineering teams.
Design and lead enterprise authentication, authorization, SSO, Groups, Policies, and identity management solutions.
Architect advanced GenAI solutions, including RAG, Embeddings, Vector Databases, LLM integrations, AI Agents, Guardrails, and large-scale inference workloads.
Define reference architectures and engineering standards for deployment, monitoring, observability, reliability, and security.
Drive architectural decisions around scalability, performance, availability, security, and operational efficiency.
Own the architectural roadmap while balancing business value, operational costs (COGS), scalability, and long-term maintainability.
Lead Proofs of Concept (POCs) to evaluate emerging AI technologies, frameworks, and developer productivity tools.
Promote engineering excellence through CI/CD best practices, observability, monitoring, security, and compliance.
Collaborate closely with Engineering, Product, AI, DevOps, Security, Data teams, customers, and strategic partners.
Requirements:
10+ years of software development experience, including 4+ years in architecture or technical leadership roles.
Proven experience designing large-scale distributed systems running on Kubernetes.
Strong experience with AWS, Azure, or GCP.
Experience designing cloud-native architectures, microservices, serverless applications, and data pipelines.
Hands-on experience with Docker, Kubernetes, and CI/CD pipelines.
Experience designing and deploying On-Premise / Air-Gapped environments.
Practical experience working with Generative AI technologies, including LLMs, RAG, Embeddings, Vector Databases, AI Agents, MCP, or similar AI frameworks.
Strong understanding of observability, monitoring, and performance optimization.
Experience implementing security and compliance best practices, including IAM, Secrets Management, and infrastructure hardening.
Excellent architectural thinking, problem-solving, mentoring, and technical leadership skills.
Strong communication and collaboration skills, with the ability to influence cross-functional teams.
Preferred Qualifications:
Hands-on software development experience with Python, TypeScript, Node.js, or similar languages.
Experience deploying SaaS and On-Premise enterprise products.
Experience with Prometheus, Grafana, ELK, or similar observability platforms.
Experience with GPU optimization, AI inference infrastructure, or large-scale AI workloads.
Experience working in fast-growing AI startups or enterprise software companies.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Data Architect to help define and evolve the data architecture of our SaaS platform and core products. You will work closely with product, delivery, and engineering squads to design scalable, reliable data systems, set technical direction for how data is ingested, modeled, stored, and served, and guide teams in making high-quality architectural decisions that balance delivery speed with long-term sustainability.
This is a hands-on, senior technical leadership role: you will spend most of your time shaping data architectures with teams, reviewing data models, pipelines and critical code, and driving shared standards and patterns across the organization, all in an advanced agentic environment.
Responsibilities:
Define and evolve the data architecture for key domains (ingestion, ELT/ETL, data modeling, storage, APIs, integration, observability, governance, and security), including owning the lakehouse/medallion architecture (bronze/silver/gold) and the data flows that move data across layers at scale.
Translate business and product requirements into pragmatic data designs, data contracts, and architecture roadmaps; create and maintain architecture artefacts (data flow/lineage diagrams, ADRs, reference implementations, modeling guidelines).
Evaluate design options and technology choices, articulate trade-offs, and lead decision-making with stakeholders; push forward the agentic mindset and implementation across the data platform.
Partner with squad leads and senior engineers to design data solutions, break down complex problems, and keep implementations aligned with the target architecture; participate in design/tech reviews to ensure NFRs (performance, scalability, data quality, resilience, security, operability) are addressed early.
Provide hands-on support where it matters most: spike and prototype critical data flows, review complex PRs, and help debug tricky production data and pipeline issues.
Collaborate with Product to shape technical feasibility, sequencing, and scope for data-driven roadmap items; communicate complex technical topics in simple language to non-technical stakeholders.
Define and promote data architecture principles, modeling conventions, coding standards, and reusable patterns (shared transformations, libraries, datasets, services) to reduce duplication and technical debt; drive adoption of shared platform capabilities (observability, CI/CD, orchestration, governance, DevOps tooling) across squads.
Ensure data architectures are observable, operable, and resilient by design; partner with DevOps/SRE on deployment, monitoring, data quality, and incident response; identify areas of high technical debt or architectural risk and lead remediation initiatives; define and track technical KPIs tied to architecture decisions.
Act as a technical mentor for senior engineers and tech leads, fostering a culture of thoughtful design, documentation, and constructive technical debate; lead by influence- help teams make better decisions instead of making every decision for them.
Requirements:
8+ years of experience in software / data engineering, including several years in a senior / staff / architect role designing complex data systems.
Strong experience designing modern data platforms and distributed data architectures (lakehouse/warehouse, batch and streaming/event-driven patterns, robust data APIs).
Experience working with columnar/serialization data formats such as AVRO and Parquet, including schema evolution and storage trade-offs.
Experience with DBT and ELT management tools for building, testing, and maintaining transformation pipelines.
Experience with Apache Airflow (or comparable orchestration tooling) for scheduling and managing data workflows.
Experience working with Databricks (or Snowflake) and medallion architecture (bronze/silver/gold).
This position is open to all candidates.
 
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10/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Principal Software Architect
About the Role:
This is a rare, high-leverage role at the intersection of deep technical craft and strategic platform thinking. As our Principal Software Architect, you will own the technical vision for our foundational infrastructure and shape how engineering works across every team in R&D.
You won't be embedded in a single product team - you'll operate across the entire R&D organization, tackling the hardest architectural challenges: data modeling at scale, integration system design, enterprise readiness, performance, and cost efficiency. You'll report directly to the VP of R&D and serve as a technical force-multiplier for our directors and team leads.
If you want to architect systems that serve thousands of engineering organizations - and leave fingerprints on every layer of a fast-scaling SaaS platform - this role is for you.
What You'll Do:
System Design & Scaling:
Architect robust, high-performance, and scalable systems across our entire platform.
Lead the design of resilient, performant, and maintainable core infrastructure as we evolve our SaaS ecosystem.
Design a more robust, performant, and generic integration layer - making our 3rd-party integrations more scalable, easier to build, and higher quality.
Architect high-throughput data and messaging pipelines to support robust, real-time data ingestion and event-driven architectures.
Data Modeling & Analytics:
Redesign and optimize our data modeling layer - including hierarchies, entity types, and relationships - to improve flexibility and scale.
Architect a comprehensive data analytics pipeline capable of handling large-scale data source processing and aggregated metric calculations.
Design effective engineering metrics delivery pipelines - enabling framework-level measurement of developer productivity and platform health.
Enterprise Readiness & Security:
Drive technical planning, tracking, and execution of cross-functional enterprise initiatives including FedRAMP compliance and SSDLC practices.
Design and implement robust security frameworks aligned with enterprise customer requirements.
Reliability & Quality:
Conduct deep-dive root cause analyses on production incidents and drive structural improvements to system reliability.
Design and implement a comprehensive end-to-end load and performance testing ecosystem.
FinOps & Cost Architecture:
Analyze cloud infrastructure spend and identify architectural changes that optimize cost without compromising performance.
Challenge existing storage and infrastructure decisions - asking the right questions about where data lives, why, and at what cost.
Technology Strategy & Mentorship:
Periodically review and recommend technologies, SDKs, and platforms to support our evolving architectural standards.
Mentor and uplevel technical leads across R&D teams, raising the bar for engineering quality and architectural thinking.
Push for the adoption of AI-SDLC practices within R&D to improve engineering velocity.
Participate in senior technical hiring to help us attract world-class engineers.
דרישות:
Experience: 10+ years of software engineering experience, including at least 5 years in architect / staff / principal roles.
Enterprise SaaS track record: Proven experience architecting and scaling enterprise-grade, multi-tenant B2B cloud SaaS services.
Polyglot engineering: Deep software development experience across multiple languages - strong proficiency in Node.js/TypeScript, Go, Python, and React.
Data & streaming ecosystems: Extensive experience with diverse database systems (SQL and NoSQL) and event-driven / message-streaming architectures (Kafka, Kinesis, SQS, etc.).
Cloud & platform engineering: Strong background in multi-cloud environments (AWS, GCP, Azure), modern DevOps practices, and Platform Engineering principles.
AI Native: Deeply comfortable building with AI-first principles, with a mindset for leveraging AI המשרה מיועדת לנשים ולגברים כאחד.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Software Architect to help define and evolve the architecture of our SaaS platform and core products. You will work closely with product, delivery, and engineering squads to design scalable, reliable systems, set technical direction, and guide teams in making high‑quality architectural decisions that balance delivery speed with long‑term sustainability.
This is a hands‑on, senior technical leadership role: you will spend most of your time shaping architectures with teams, reviewing designs and critical code, and driving shared standards and patterns across the organization, all in an advance agentic environment.
Responsibilities:
Architecture & technical leadership:
Define and evolve the architecture for key domains in our platform (APIs, services, data flows, integration, observability, security).
Translate business and product requirements into clear, pragmatic technical designs and architecture roadmaps.
Create and maintain architecture artefacts: diagrams, decision records (ADRs), reference implementations, and guidelines.
Evaluate design options and technology choices, articulate trade‑offs, and lead the decision‑making process with stakeholders.
Push forward the agentic mindset and implementation.
Working with squads (R&D):
Partner with squad leads and senior engineers to design solutions, break down complex problems, and keep implementations aligned with the target architecture.
Participate in design / tech reviews, ensuring non‑functional requirements (performance, resilience, security, operability) are addressed early.
Provide hands‑on support where it matters most: spike and prototype critical flows, review complex pull requests, and help debug tricky production issues.
Partnering with Product:
Collaborate with Product to shape technical feasibility, sequencing, and scope for roadmap items and cross‑squad initiatives.
Communicate complex technical topics in simple language to non‑technical stakeholders when discussing roadmap options and trade‑offs.
Standards, reuse, and platform mindset:
Define and promote architecture principles, coding standards, and reusable patterns (modules, libraries, services) that reduce duplication and technical debt.
Champion platform thinking: design services and components that can be safely reused across teams and products.
Drive adoption of shared platform capabilities (observability, CI/CD, authentication, data, DevOps tooling) across squads.
Quality, reliability, and continuous improvement:
Ensure architectures are observable, operable, and resilient by design; partner with DevOps/SRE on deployment, monitoring, and incident response.
Identify areas of high technical debt or architectural risk and lead structured remediation initiatives.
Help define and track technical KPIs (e.g., performance, reliability, incident volume) tied to architecture decisions.
Mentoring and leadership:
Act as a technical mentor and sounding board for senior engineers and tech leads, helping them grow their architecture skills.
Foster a culture of thoughtful design, documentation, and constructive technical debate.
Lead by influence rather than authority: you help teams make better decisions instead of making every decision for them.
דרישות:
8+ years of experience in software engineering, including several years in a senior / staff / architect role designing complex systems.
Strong experience with modern backend and distributed architectures (microservices or modular monoliths, event‑driven patterns, robust APIs).
Solid understanding of cloud‑native architecture (e.g., AWS/Azure/GCP), containers, and infrastructure‑as‑code practices.
Proven ability to design for scale, performance, security, and reliability in production SaaS environments.
Hands‑on experience with at least one major language and ecosystem used in our stack (e.g., Java, Python, Node.js, or sim המשרה מיועדת לנשים ולגברים כאחד.
 
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19/08/2026
חברה חסויה
Location: Or Yehuda
Job Type: Full Time
We are seeking an experienced Software Architect to lead the technical vision and architectural strategy of our cloud-native SaaS platform. Our team develops an Azure-based platform for building AI agents and integrating them with telephony and voice communication systems, enabling intelligent, real-time customer interactions at scale.
Our platform is built on a large-scale, distributed microservices architecture powered primarily by Node.js and deployed on Kubernetes. The technology stack includes Docker, Terraform, Azure cloud services, and advanced AI technologies such as Large Language Models (LLMs), Text-to-Speech (TTS), and Speech-to-Text (STT) services.
The ideal candidate combines deep software architecture expertise with strong hands-on engineering capabilities. They bring a proven background in cloud-native platforms, distributed systems, modern DevOps practices, and AI-driven application development. Comfortable operating across architecture, infrastructure, and implementation layers, they thrive on solving complex technical challenges.
Responsibilities:
Define and evolve the overall system architecture and technical roadmap.
Drive architectural decisions that ensure scalability, reliability, security, and performance.
Establish engineering standards, best practices, and design principles across development teams.
Provide technical leadership and mentorship to engineering teams throughout the software development lifecycle.
Collaborate closely with product, engineering, and operations teams to deliver high-quality solutions.
Participate hands-on in architecture reviews, system design, code reviews, troubleshooting, and performance optimization.
Lead cloud-native and DevOps initiatives, ensuring efficient deployment, monitoring, and operational excellence.
Promote and leverage AI-assisted development tools and practices to improve engineering productivity, code quality, and delivery velocity.
Requirements:
8+ years of software engineering experience, including architecture of large-scale distributed systems.
Proven experience architecting production microservices systems.
Deep understanding of cloud-native and containerized architectures.
Hands-on Kubernetes experience, including scaling, resilience, networking, and operations.
Experience using AI development tools and agents for design, implementation, troubleshooting, and architecture decisions.
Strong DevOps background with extensive hands-on experience in Infrastructure as Code, particularly Terraform.
Experience designing and governing CI/CD pipelines and deployment strategies.
Strong understanding of networking concepts including DNS, TLS, routing, NAT, proxies, load balancing, and service-to-service communication.
Experience designing secure systems and applying cloud security best practices.
Experience with Azure services and cloud architecture patterns.
Strong backend development experience with Node.js, NestJS, or similar technologies.
Strong experience with MongoDB, including schema design, scalability, performance optimization, and operational considerations.
Ability to evaluate and incorporate AI-assisted engineering practices into the software development lifecycle.
Experience with observability, monitoring, logging, tracing, and incident response.
Excellent communication skills and ability to influence technical direction across teams.
Preferred Qualifications:
Experience with real-time communication, SIP, VoIP, WebRTC, or telecom technologies.
Experience architecting SaaS platforms.
Experience leading cross-team architecture initiatives.
Familiarity with platform engineering and internal developer platforms.
Experience with AI-powered applications, AI agents, or conversational AI platforms.
This position is open to all candidates.
 
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31/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
You will manage the AI Platform Engineer(s), set the technical standards for the AI Power User group's citizen development program, and serve as the connective tissue between business leadership, platform owners, and development teams. You will shape the multi-year AI architecture roadmap while also rolling up your sleeves to conduct architecture reviews, resolve blockers, and move use cases from concept to production. This is a role for someone who can think big and execute - and who understands that in an enterprise context, the quality of your governance is inseparable from the quality of your architecture.

What You'll Own
Strategy & Architecture
Define and own the enterprise AI integration strategy - identifying opportunities to embed intelligent automation, agentic workflows, predictive analytics, and generative AI capabilities across our company core platforms
Develop and maintain reference architectures, design patterns, and the AI architecture decision log that governs how AI models connect to enterprise systems and what they are permitted to do
Consult on enterprise system architecture and implement best practices for the Enterprise Business Systems team to leverage in their day-to-day execution.
Lead Proof-of-Concept initiatives for new AI tools and platform-native AI features, evaluating them against build-vs-buy criteria before recommending adoption
Partner with business stakeholders to translate operational pain points into AI use cases with clear ROI framing and sequencing criteria
Contribute to our enterprise data strategy, ensuring AI initiatives are supported by clean, accessible, and well-governed data pipelines
Integration Architecture & Delivery

Design and own the Workato eMCP layer - the MCP governance model, persona-scoped token framework, workspace isolation strategy, and the single sanctioned action surface through which all AI agents write back to enterprise systems
Define integration patterns and standards for AI model connectivity (Claude, ChatGPT) to Salesforce, NetSuite, HiBob, and Jira - specifying what agents can read, what they can write, through which surfaces, and with what confirmation and audit requirements
Design and oversee API strategies, event-driven architectures, and middleware patterns that support scalable AI feature delivery - including agentic workflows, intelligent data transformation, anomaly detection, and natural language interfaces layered onto ERP and CRM data
Collaborate with Engineering during build phases, conducting architecture reviews, providing hands-on guidance, and resolving complex technical blockers
Define non-functional requirements - latency, security, auditability, model drift monitoring - for AI components embedded in mission-critical business processes
Establish MLOps and LLMOps practices appropriate for our enterprise environment: model versioning, observability, and rollback procedures for production AI workloads
Requirements:
8+ years of experience in enterprise solutions architecture, systems integration, or a closely related discipline - with a strong track record of designing and delivering production-grade integration platforms at scale
Deep hands-on expertise with Workato or a comparable enterprise iPaaS platform (MuleSoft, Boomi, Azure Integration Services) - including workspace design, governance configuration, and operational management
Demonstrated experience building and integrating across CRM (Salesforce preferred), ERP (NetSuite preferred), and iPaaS platforms at the enterprise level - in production, not just proof-of-concept
Hands-on experience designing or deploying AI/ML features in production enterprise environments - including at least one of: agentic AI systems, LLM-powered workflows, predictive analytics, or intelligent document processing
Strong command of integration patterns: REST/GraphQL APIs, event streaming, ETL/ELT pipelines, webhook-based automation, and API security best practices
This position is open to all candidates.
 
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25/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
looking for a Software Architect to lead the technical evolution of our next-generation AI cybersecurity platform. You'll work across teams to solve the company's most challenging architectural problems while remaining deeply hands-on - building prototypes, validating new technologies, and helping engineering teams deliver production-ready solutions. The role requires both deep engineering expertise and the ability to shape the architecture of large-scale data, cloud, and AI systems that power our platform.

What Youll Do
Responsibilities:
Partner with engineering teams to solve complex architectural and technical challenges, leading the design of scalable, secure, and maintainable systems.
Build and validate proofs of concept (PoCs) to evaluate new architectures, data platforms, AI capabilities, and emerging technologies.
Drive technical direction across engineering, product, and data science, turning new technologies into production-ready solutions.
Lead architecture and design reviews, ensuring scalability, reliability, security, and operational excellence.
Mentor engineers through hands-on collaboration, code reviews, and system design discussions while promoting AI-native engineering practices.
Requirements:
7+ years in a senior technical leadership role (Principal Architect, Staff Engineer, Lead Engineer, or equivalent), with a strong track record designing and delivering large-scale distributed systems and cloud-native architectures in production.
Strong background in cybersecurity and secure system design, including cloud security principles and enterprise compliance frameworks; experience in SaaS or cybersecurity products is a significant advantage.
Deep, hands-on experience with AWS, GCP, or Azure, and strong expertise in Kubernetes and containerized environments, with the ability to design for scale while maintaining simplicity and cost awareness.
Strong background in modern data platforms, streaming architectures, and complex event processing for large-scale, real-time workloads.
Hands-on experience integrating GenAI capabilities into production systems - RAG pipelines, agentic workflows, or LLM-based integrations - and familiarity with AI-native engineering practices, including coding agents.
Experience designing multi-tenant SaaS platforms with strong isolation and scalability, and excellent communication skills to influence architecture across engineering, product, and data science.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
11/08/2026
חברה חסויה
Location: Ra'anana
Job Type: Full Time
Required Cloud Architect
Israel - Raanana
We dont limit our challenges. We challenge our limits. Always. Were ambitious. Were game changers. And we play to win. We set the highest standards and execute beyond them. And if youre like us, we can offer you the ultimate career opportunity that will light a fire within you.
So, whats the role all about?
As a Cloud Architect, you will be the visionary architecting our next-generation cloud infrastructure-a resilient, scalable, and high-velocity ecosystem designed to support our intelligent, AI-powered platforms.
In this role, you will bridge the gap between complex engineering requirements and elegant cloud solutions. You will be responsible for designing sophisticated systems, pioneering DevOps excellence, and ensuring our R&D teams have the cutting-edge tools they need to deliver at pace. Youll thrive in an environment that values an automation-first mindset, where you are empowered to prototype new technologies and set the strategic direction for our global infrastructure.
How will you make an impact?
Architect Complex Systems: Design scalable, resilient cloud architectures and select the optimal technology stacks to bring them to life.
Drive Operational Excellence: Identify and execute opportunities to improve system resilience, efficiency, and the overall developer experience through aggressive automation.
Innovate & Prototype: Actively research and prototype emerging technologies that sharpen our DevOps processes and R&D delivery speed.
Technical Leadership: Lead complex build, release, and deployment initiatives, navigating dependencies across multiple stakeholders with a long-term vision.
Infrastructure as Code: Champion GitOps workflows and Infrastructure-as-Code (IaC) to ensure our production systems are secure, compliant, and highly available.
Bridge Business & Tech: Translate deep technical complexities into tangible business value, ensuring our architecture supports our strategic goals.
Requirements:
Experience: At least 5 years of proven experience in Cloud Architecture and DevOps.
Cloud Mastery: Deep understanding of modern cloud environments (AWS, GCP, and Azure) and enterprise-grade architectures.
Hands-on Technical Depth: A strong background in engineering with the ability to dive deep into troubleshooting and system integration.
Kubernetes Expert: Solid experience with EKS-encompassing deployment, scaling, networking, and complex upgrades.
IaC Practitioner: Practical, production-level experience with Terraform and Infrastructure-as-Code methodologies.
CI/CD & DevOps Culture: Proven track record of operating within a product-centric DevOps culture, utilizing GitOps and automated deployment pipelines.
Governance & Security: Familiarity with enterprise security standards, compliance requirements, and cloud governance frameworks.
Soft Skills: Excellent communication skills, a proactive problem-solving mindset, and a passion for working in a collaborative team environment.
You will have an advantage if you also have:
Code Literacy: The ability to read and understand application code (TypeScript/Node.js) to better diagnose system behavior.
Systems Engineering: Familiarity with formal systems engineering and requirement management methodologies.
Security Mindset: Experience implementing advanced security protocols within a DevSecOps framework.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
16/08/2026
חברה חסויה
Location:
Job Type: Full Time
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.
Responsiilities:
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.
Requirements:
5+ years of experience cloud technologies, with a strong focus on AWS/GCP/Azure solutions.
Solid understanding of Cloud Infrastructure ( Compute, Networking, Storage, Cost, Security etc. ) And its integration with DevOps tools - IaC, Containers, Observability, etc.
Good knowledge of CI/CD ( Jenkins/GitHub actions/other) , Containers and Kubernetes
AWS Solution Architect Professional certification or equivalent in other public cloud vendor- Advantage
Experience with Security Products ( CSPM, DSPM, CWPP) Secret management ( e.g. HashiCorp Vault ) - Advantage
Previous experience with DevOps solutions (Terraform, Ansible, Docker, Kubernetes,Git etc.) - Advantage
Ability to document high-level solutions.
Previous experience with customer-facing roles - Advantage
A passion for innovation and learning up-to-date with industry trends
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
19/08/2026
חברה חסויה
Location: Petah Tikva
Job Type: Full Time
Were looking for a Senior Data & Analytics Architect to join our team and work directly with startup CTOs, engineering teams, and account teams. This is a hands-on, customer-facing architecture role where you will design and deliver production-grade data platforms on AWS.
The role is focused on turning real business problems into working systems, from early discovery and architecture design to supporting implementation. This is not a pure strategy or management role, its about making clear technical decisions and ensuring they hold up in production.
Work location: hybrid from Tel Aviv
Curious about what it's really like to work at our company?
Explore our benefits, culture, and what success in your first year could look like here.
If you are interested in this opportunity, please submit your CV in English.
Key Responsibilities
Design and deliver end-to-end data platforms on AWS, covering ingestion, storage, processing, and serving layers, including Well-Architected reviews and contribution to SOWs and HLDs
Work directly with startup customers to understand requirements, challenge assumptions, and shape practical solutions
Lead technical discussions, workshops, architecture reviews, and POCs
Translate ideas and early concepts into clear architectures, including HLDs, SOWs, and implementation direction
Make and explain trade-offs across cost, performance, scalability, and complexity
Stay close to delivery, supporting teams to ensure solutions are implemented correctly
Collaborate with Data Engineers, DevOps, Solution Architects and Account Managers to move projects from concept to production
Contribute to internal standards, reusable patterns, and reference architectures
Operate in a fast-paced, project-based environment with multiple customer engagements
Stay up to date with modern Data Engineering and Analytics practices, and contribute to internal enablement, patterns, and knowledge sharing
Work in a customer-facing environment that includes occasional travel, both locally for meetings and events, and internationally around once per quarter.
Requirements:
3+ years of hands-on experience with AWS, including solution design, migration, and production systems
2+ years in customer-facing technical roles, for example Cloud Architect, SRE, or Customer Engineer, working directly with stakeholders
Solid understanding of modern data architectures, including batch, streaming, and lakehouse patterns
Practical experience with core AWS data services, such as S3, Glue, Redshift, Kinesis or MSK, EMR, Athena, Lambda, and IAM
Familiarity with broader AWS infrastructure, including networking, IAM, and compute patterns
Experience working with real-time or near real-time data processing
Strong grasp of data modeling, pipelines, and storage optimization
Ability to reason about trade-offs, not just select tools
Ability to lead end-to-end technical engagements, from discovery through delivery
Comfort operating in fast-moving environments with ambiguous requirements
Clear communication skills, able to explain technical decisions to both technical and non-technical stakeholders
Strong communication skills in English. Spanish is a plus
Basic understanding of security and access control in AWS environments
Experience writing HLDs, SOWs, and supporting pre-sales engagements
Experience with ETL processes, data lakes, and pipelines
Nice to Have
Experience with Iceberg, dbt, or similar modern data tooling
Familiarity with Kubernetes, Docker, Terraform, and CI/CD pipelines
AWS certifications (Solutions Architect, Data Analytics, or similar).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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