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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.

we are where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner, we deliver hands-on DevOps and FinOps and GenAI support that drives real results.
We work across EMEA, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.
In this position, you will be a key member in the pre-sales process, working directly with global startup customers and cross-functioning with account managers to develop AWS solutions for the customers.
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
Meet with customers, understand their business challenges, and design AWS solutions that address them, covering architecture, cost-efficiency, scalability, and security through Statements of Work (SOW)
Analyze existing customer AWS architectures and propose improvement roadmaps
Collaborate cross-team with different departments to ensure solutions are designed according to AWS best practices
Build thought leadership in the cloud community by contributing to blogs, workshops, webinars, conferences, and more, representing our company as a trusted voice in the ecosystem
Travel both locally (to meet with customers, partners, and attend local events) and abroad (at least once a quarter).

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.

Were looking for a Solutions Architect Team Lead to manage, recruit, and mentor our Israeli and CEE Solutions Architects, as well as provide core services and also to provide technical pre-sales guidance to our company customers while building long-term relationships, identifying pain points, and addressing them.
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
Meet with customers, understand their business challenges, and design AWS solutions that address them, covering architecture, cost-efficiency, scalability, and security through Statements of Work (SOW)
Manage and mentor a team of Solutions Architects, including mentorship, professional team growth, recruiting and interviewing, and supporting the broader department's team expansion efforts.
Analyze existing customer AWS architectures and propose improvement roadmaps
Collaborate cross-team with different departments to ensure solutions are designed according to AWS best practices
Build thought leadership in the cloud community by contributing to blogs, workshops, webinars, conferences, and more, representing our company as a trusted voice in the ecosystem
Travel both locally (to meet with customers, partners, and attend local events) and abroad (at least once a quarter)
Build a strong relationship with the AWS Startup SA community.

You are the technical owner of our most strategic and enterprise accounts post-sale. Part solutions architect, part relationship lead - you design and implement the integrations, automations, and AI-driven workflows that make our company the backbone of complex, global IT environments. You bridge business requirements and technical reality, and you own the outcome.
What You'll Do
Lead end-to-end project lifecycles - from architecture workshops to deployment - ensuring a white-glove customer experience
Design and implement complex integrations using REST APIs and webhooks with platforms such as ServiceNow, Salesforce, Okta, and Azure
Build AI-driven automation workflows that reduce manual overhead and optimize IT operations at scale
Serve as the primary technical point of contact for all parties, including C-level and VP-level stakeholders
Produce clear architectural diagrams, technical guides, and API documentation
Travel internationally up to 25% and domestically up to 15% for on-site engagements.

Required Senior System Architect
As a Senior System Architect, you will:
Define and maintain the overall system architecture, ensuring scalability, reliability, security, performance and regulatory compliance
Develop long-term architectural roadmaps aligned with business objectives and regulatory requirements
Design scalable, resilient and highly available systems for data ingestion, processing, storage and presentation
Establish architecture standards, reference architectures, design patterns and technology selection guidelines
Evaluate new technologies and architectural approaches to improve system performance, maintainability and operational efficiency
Work closely with engineering, research, security and product teams to map solution requirements.

We are looking for a hands-on, builder-minded AI Senior Product Manager to lead a high-stakes, 0-to-1 initiative.

This is a rare opportunity to operate with the agility and autonomy of a startup founder while leveraging the massive datasets, engineering resources, and established market presence of an industry leader.

This role sits squarely at the intersection of Cybersecurity and AI. You will be responsible for building a net-new product from the ground up - translating raw technical concepts into production-grade reality. We are looking for an entrepreneurial builder who thrives in ambiguity and is obsessed with rapid iteration and technical depth.

This is not a role for a traditional "project manager." You must be a hands-on owner who brings strong, opinionated perspectives formed by real-world technical experience. You will own product initiatives from deep problem discovery through engineering execution, validating and shipping products that security practitioners rely on every day.

What You'll Do

Drive 0-to-1 Cybersecurity & AI Products End-to-End
Operate with a founder's mentality: own the product lifecycle from initial discovery and definition to UX design, technical execution, customer validation, and production release.
Frame ambiguous market opportunities into simple, well-scoped milestones, specs, and rapid execution plans.
Act as a hands-on builder-owning the outcome end-to-end rather than just managing processes or tickets.
Build Practical, Production-Grade Capabilities for Security
Identify key leverage points in security workflows (e.g., threat hunting, incident response) where AI can unlock step-function improvements.
Harness and build on top of existing AI agentic frameworks to solve complex cybersecurity challenges - translating model strengths and limitations into practical UX decisions.
Go beyond theoretical AI buzzwords to ship reliable, predictable, and value-driving security features in production.
Partner Deeply with Engineering & Security Experts
Work daily with Tech Leads, AI Engineers, Security Analysts, and Designers in a highly collaborative, fast-paced environment.
Get comfortable looking at raw logs, trace data, system architectures, and security vulnerabilities alongside engineers to deeply understand root causes and technical tradeoffs.
Challenge unnecessary technical complexity and continuously push for the simplest, most elegant solution.
Own UX & Product Quality for Technical Users
Maintain an exceptionally high bar for product quality, clarity, and system reliability.
Abstract dense technical data, security alerts, and complex AI outputs into intuitive, actionable user workflows.
Treat launch day as the start of continuous learning - actively monitoring usage metrics, validating edge cases, and rapidly iterating based on live system feedback.
Stay Connected to Technical Customers
Engage directly with security practitioners, DevOps, and SREs to uncover genuine friction points in their daily operations.
Translate raw customer feedback into prioritized product roadmaps grounded in real operational impact.

The Architect leads the design and implementation of scalable AI platforms and central services for AI, creating shared capabilities, tools, and frameworks that transform how our company builds, delivers, and operates products.
Beyond architecture, this role drives strategic, high-impact projects with powerful ROI that positively disrupt operations and elevate customer outcomes, improving efficiency, innovation, and product value across the company.
Strategic Objectives:
Accelerate AI Transformation across the organization by designing and operationalizing central AI services and a unified platform framework that powers key transformation initiatives, including Agentic Workflows.
Institutionalize AI Engineering and Governance Standards through common architecture, services, and enablement frameworks ensuring scalability, security, quality, and compliance.
Deliver measurable transformation outcomes through strategic, ROI-driven projects that reshape how our company's products are built and operated, directly benefiting customers and business performance.
Drive sustainable transformation at scale, balancing rapid innovation with operational excellence and long-term maintainability.
Key Responsibilities
Architect the AI Transformation Framework
Design and own the end-to-end architecture that enables the companys AI Transformation vision - spanning data, models, pipelines, APIs, and governance layers.
Define blueprints and integration standards to embed AI and automation throughout the SDLC, from ideation to delivery.
Build Generative AI Platforms and Central Services
Lead the design and implementation of the AI Enablement Platform and central AI services powering transformation initiatives such as Agentic Workflows and the Knowledge Hub.
Create scalable, secure, and modular AI components that can be leveraged across product lines and engineering domains.
Partner with infrastructure, platform, and security teams to operationalize LLM-based services, retrieval systems, and agentic automation flows.
Drive Strategic Transformation Projects
Lead cross-functional initiatives that deliver tangible operational and business impact - improving speed, quality, and cost-efficiency across the product organization.
Develop strong business cases and ROI frameworks to prioritize and communicate transformation value at the executive level.
Translate successful outcomes into reusable playbooks and AI cookbooks that scale across teams, roles, and product domains.
Technical Leadership and Enablement
Act as the senior technical authority and coach for AI transformation initiatives, guiding teams through architecture reviews, proofs of concept, and scale-up phases.
Mentor internal architects and tech leads to develop AI-native architectural competencies.

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.

We are looking for a Solution Architect (Presale) to join our team.
This is a unique opportunity for a Delivery or Professional Services Engineer who has mastered the world of implementation and support and is now looking to make a transition into the Architectural/Presale world.
In this role, you will manage the technical sales process throughout our sales cycles and across offering, for local and global customers.
The role includes conducting consulting engagements with customers to deliver Private Cloud solutions, writing technical papers and documentation, leading technical discussions during the presale process, conducting demos, PoCs, and more.
We are looking for someone with a growth mentality, a team player who really understands the engine under the hood and is eager to expand into Kubernetes and AI environments
Responsibilities:
Design and architect private cloud solutions across VMware VCF, Kubernetes, GenAI and datacenter solutions.
Lead technical discussions during the pre-sales process and assess customer needs
Develop high-level design (HLD) documents and define the scope of work
Align technical solutions with customer business challenges
Maintain strong technical expertise to deliver product demonstrations
Understand our vision and priorities as a company
Grow adoption of our solutions among our customers and partners
Address technical objections and position competitive differentiation
Manage your customers together with the account managers and act as a trusted technical advisor while leveraging subject matter experts required during the sales process

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 seeking a Senior Principal Software Architect to define and drive the long-term architectural vision for our Identity Platform. In this role, you will lead the design and evolution of our next-generation Identity services, ensuring they meet the highest standards of scalability, security, resiliency, and operational excellence. As one of the organization's senior technical leaders, you will shape architecture across multiple product areas, influence strategic technology decisions, and partner with Engineering, Product Management, Security, and Architecture leadership to build a world-class Identity platform. You will establish architectural standards, mentor engineering teams and architects, and drive modernization initiatives that accelerate innovation while reducing technical debt.
Key Responsibilities
Define and evolve the long-term architecture and technology strategy for the Identity Platform.
Lead the design of large-scale, cloud-native SaaS systems that meet demanding scalability, security, availability, and performance requirements.
Establish architectural principles, design standards, and engineering best practices across multiple teams and organizations.
Partner with Product Management, Engineering, Security, and fellow architects to translate business and cybersecurity requirements into scalable technical solutions.
Drive modernization initiatives, simplify complex systems, and strategically reduce technical debt.
Lead architecture reviews, identify technical risks, and guide teams toward successful implementation.
Mentor architects and senior engineers, fostering technical excellence and growing future technical leaders.
Represent the Identity organization in architecture forums and contribute to the broader engineering strategy across Palo Alto Networks.

We are looking for an experienced Sr. Principal Architect to join the XSIAM engineering group in a highly cross-functional, product-facing role. This position sits at the intersection of engineering, product management, customer success, and product architecture, helping shape scalable and innovative solutions across the XSIAM product.
The ideal candidate combines deep technical expertise with strong product thinking, enabling them to translate business and customer needs into clear architectural direction and execution strategies. This role requires close collaboration with engineering teams, product managers, and strategic customers to drive platform capabilities, integrations, scalability, and long-term architectural vision.
Key Responsibilities
Lead architectural design and technical strategy for XSIAM platform capabilities and integrations.
Define best practices, technical standards, and scalable design patterns across the organization.
Work closely with customers, field teams, and support organizations to understand real-world use cases and pain points.
Evaluate tradeoffs between scalability, performance, security, operational complexity, and delivery timelines.
Support strategic customer engagements and complex deployment scenarios.
Mentor engineers and technical leaders on architecture, system design, and product-oriented engineering thinking.
Act as the bridge between engineering, product, and site reliability (SRE) to ensure that architectural designs translate into operational excellence.

As a Performance Lead in our Centralized Quality Team, you will be the architect of our performance testing ecosystem. You will build the infrastructure and define the AI-driven methodologies that allow our R&D groups to deliver the worlds most secure Identity Security platform at massive scale. This is a high-impact role where you will lead the adoption and testing of our performance stack, including tools like LoadRunner, Locust, and JMeter; leveraging GenAI for testing; utilizing observability tools like Dynatrace, New Relic, or Datadog; and operating at scale within AWS and Kubernetes (EKS).
Your Career
Drive the cross-company performance strategy, shifting from reactive testing to proactive Performance Engineering.
Develop centralized, reusable performance testing assets and AI-powered dashboards for use by all product teams.
Use AI to analyze vast amounts of telemetry data, providing actionable insights into architectural weaknesses and cost-optimization opportunities.
Partner with R&D and Product Leads to ensure performance is integrated into our CI/CD pipelines.
Lead a performance-aware SDLC process, set KPIs, and work with R&D and Product to ensure new features meet performance demands.
Incorporate customer requirements into testing cycles for new features and regression suites.

We are looking for a Staff QA Architect to join our elite team, contributing to the development of one of our strategic products for Cloud Security.
In your role, you will be responsible for developing and maintaining high-quality work procedures, leading the team to achieve better quality.
You will be involved in the full feature lifecycle - from gathering requirements with the product team to release - ensuring quality at every stage, including bug management and observability and defining QA work procedures, guidelines, and designing the entire testing process.
The ideal candidate will be responsible for leading quality activities across solution-level features, ensuring the highest standards of quality are met. This role requires a proactive individual with excellent leadership and communication skills, capable of driving quality initiatives and fostering a quality-focused mindset within the organization.
Comprehensive understanding of the product's functionality, target use cases, and the value it delivers to customers.
Lead the quality efforts across multiple interfaces with a proactive and assertive approach, serving as the key point of contact for all quality-related matters.
Define, implement, and manage QA processes, promoting a quality-driven culture and managing the quality backlog.
Define the overall testing strategy and tooling stack across integration, regression, and load/performance testing.
Drive an automation-first approach - collaborating with developers to ensure code is testable and observable.
Lead root-cause analysis for escaped bugs and define improvement actions.
Own CI quality metrics and dashboards (e.g., build stability, test flakiness, regression coverage).
Influence decisions regarding test environments, mocks, test data, and production parity.
Collaborate with the centralized quality group to ensure E2E test coverage.
Quality Point of Contact: Serve as the primary point of contact for quality-related matters concerning the unit or the cross-group feature.