דרושים » תוכנה » software architect, security

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

we are building a scalable data platform that powers our product, analytics, and AI capabilities. Were looking for an Architect to shape the technical direction of the Data Platform group - helping teams make high-quality architectural decisions faster and turning complex, cross-cutting challenges into clear, pragmatic paths forward.
Reporting to the Data Platform Group Director and working alongside Team Leads, youll be the groups senior individual-contributor architect. You will guide architecture across our Data Infrastructure, Data Engine, and Data Framework teams, with particular emphasis on data-intensive application architecture.
Youll stay close to technical design, delivery, and production - not only to define direction, but to ensure it works in practice.
What youll do
Set and evolve the architectural direction for the Data Platform group, balancing long-term platform strategy with pragmatic, executable decisions.
Lead cross-team design reviews and drive alignment on significant technical decisions, including the trade-offs behind them.
Create clear design documents, reference architectures, standards, and reusable patterns that enable teams to make high-quality decisions independently.
Partner with engineers and Team Leads through critical stages of delivery to preserve architectural intent, resolve emerging trade-offs, and ensure designs work in production.
Guide the evolution of data-intensive applications and platform capabilities across data access, query and application frameworks, streaming, storage, reliability, scalability, and security.
Drive incremental modernization of existing systems - including migrations, simplification, and architectural improvements - without compromising customer reliability or delivery momentum.
Build foundations that enable product teams to access and operate on data safely and efficiently, including permission-aware access to sensitive HR data.
Ensure the platform is ready for trusted analytics and AI use cases through robust data contracts, governance, observability, lineage, and secure access patterns.
Identify systemic technical risks, architectural gaps, and recurring friction - and turn them into durable capabilities rather than one-off solutions.
Mentor engineers and raise the bar for technical thinking, system design, and execution across the group.

the company harnesses the power of ai to transform how revenue teams win. the company revenue ai operating system unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the worlds most successful revenue teams. powered by the company revenue graph, ai-powered intelligence, specialized agents, and trusted applications, the company helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. for more information, visit company.
at the company, you will join a company built on innovative products, ambitious goals, and passionate people. we are shaping the future of revenue intelligence and we want people who are excited to build what comes next. you will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. if you want to grow, stretch, and do work that truly matters, the company is the place to do the best work of your career.
software architect, ai applications
as an architect in the company's ai applications group, you will lead the architecture and technical direction of the revenue harness, the agentic framework that powers an ai teammate for every revenue professional. the assistant understands a user's deals, customers, and pipeline. it can reason, plan, and act on the user's behalf, grounded in the richest revenue data in the world.
this is a hands-on role with broad influence. you will embed with teams where needed, guide design decisions, and help build scalable, extensible agentic systems on state-of-the-art ai technology.
what you'll build
agentic core: agent orchestration, planning and reasoning loops, multi-step execution, and multi-agent coordination for long-running revenue workflows.
tools & integrations: a secure, extensible tool ecosystem, including mcp-based tools and connectors, that lets agents read from and act on the company data, crms, email, and calendars.
context & memory: retrieval pipelines over calls, emails, deals, and accounts, using rag, hybrid search, and knowledge graphs, plus short- and long-term memory.
quality & trust: offline and online evaluation of accuracy, groundedness, and task success, along with guardrails, permissions, and human-in-the-loop controls.
model platform: multi-provider model routing, streaming, llm observability, and cost and latency management.
runtime & execution: high-concurrency infrastructure for stateful and stateless agents, including lifecycle management, isolated workers, task queues, and distributed state persistence.
deployment & ci/cd: cloud-native kubernetes deployments with multi-region rollout, zero-downtime updates, canary releases for non-deterministic workflows, and strict tenant sandboxing.
you'll own
revenue harness architecture: serve as the group's central technical leader. define the reference architecture and the contracts between agents, tools, context, and models, so that teams build on a shared, scalable foundation.
hands-on engineering: embed in teams across domains and contribute directly to design and code.
quality & reliability standards: set the group's eval methodology, regression gates, and production monitoring for non-deterministic systems.
mentorship & engineering standards: raise the bar on design quality and best practices across the group.
ai-assisted development: drive adoption of coding agents, ai code review, and agentic workflows to improve velocity and quality.
you'll solve
reliability on non-deterministic foundations: make llm behavior trustworthy through structured outputs, tool-call validation, fallbacks, and well-defined failure modes.

Senior Software Architect Location: Tel Aviv, Israel Department: R&D Reports to: VP R&D
?About the Role We are looking for an experienced and hands-on Senior Software Architect to play a key role in shaping the technological future of our company. In this position, you will lead architectural decisions across complex software systems, drive engineering excellence, and help build scalable, high-performance solutions that support our business growth. You will work closely with engineering teams and technology leaders, combining strategic architectural thinking with hands-on development and a strong focus on innovation, modern technologies, and AI-driven engineering practices. The ideal candidate is a highly technical leader with deep expertise across backend, frontend, cloud, and mobile application architectures, capable of driving end-to-end technology decisions while remaining actively involved in software development.
Key Responsibilities
* Lead the architecture and technical design of customer-facing web and mobile applications.
* Define scalable, secure, and maintainable frontend, mobile, and backend architectures.
* Drive architectural decisions across Frontend, Mobile, APIs, Backend services, and Azure cloud solutions.
* Remain hands-on, contributing to the design and development of critical system components.
* Lead technical design reviews and promote engineering best practices, coding standards, and software quality.
* Collaborate closely with Product, DevOps, Security, Data, and Engineering teams.
* Mentor engineers and technical leads on architecture, design patterns, and modern development approaches.
* Drive adoption of AI-assisted development tools and engineering productivity solutions.
* Identify architectural risks, technical debt, and opportunities for modernization and continuous improvement.

We are 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.

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.

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 companys 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 an exceptional Software Architect to join our Architecture team and help shape the software infrastructure powering the next generation of quantum computers. As quantum systems grow in scale and complexity, our software brings together quantum control, classical computing, and diverse hardware into a unified platform for developing and running quantum applications.
What you'll do?
In this role, you will define the architecture of a software framework that enables users to build and run applications across CPUs, GPUs, quantum control hardware, and other devices. The framework will provide unified interfaces for coordinating execution, communication, and resource management, supporting workflows such as hybrid quantum-classical computation and automated calibration. Youll collaborate closely with Product, R&D, and Research teams to translate evolving needs into clear architecture and practical solutions, from concept through production.

As the Senior DevOps Architect, you will own the architectural direction of cloud infrastructure, engineering platforms, and developer experience across our Cloud and DevEx groups.
Combining infrastructure expertise with hands-on software engineering, you will turn business and engineering needs into technical roadmaps and production solutions, including AI services and agents for internal and external-facing systems.
As part of your work you will be responsible for:
Own the technical roadmap and architecture across DevOps and DevEx, establish shared standards, and lead initiatives from design to production through hands-on implementation.
Architect scalable, secure, and resilient cloud infrastructure, covering Kubernetes, networking, infrastructure as code, and modernization.
Design shared platforms and self-service workflows that simplify development, CI/CD, deployment, and troubleshooting.
Define architectural standards for observability, availability, disaster recovery, and capacity planning.
Architect and contribute to production AI services and agents, including system integration, evaluation, security, and reliable operation.
Align priorities with R&D, Product, and Security, resolve cross-team dependencies, and mentor engineers and technical leads.

Were looking for a System Architect to own the technical foundation of the Labs product end to end, from the whiteboard to production on Azure. Working closely with our Chief AI Officer, youll translate complex research assumptions and decisioning methodologies into clean, self-service products. You will port the right pieces of our engine into a lean new stack, make it integrate cleanly across the business environments our customers already run, and lead the coding yourself. This is a hands-on architect role, not an oversight role: you set the design and youre in the codebase every day.
A core part of the mandate is a fully agentic SDLC, building the product with AI coding agents end to end, not just building an agentic product. We expect a small team to ship like a large one by making agent-driven development the default way we design, write, and review code. Youll define how we do that.
What youll do:
Translate methodology into product. Partner with the Chief AI Officer to turn complex assumptions, math, and decisioning methodologies into clean, self-service products a customer can run without a data-science team.
Own the architecture. Design a scalable, cloud-native system on Azure, covering services, data flow, model-serving and the end-to-end decision pipeline, and keep it coherent as it grows.
Lead the coding. Set the standards, make the hard build-vs-buy calls, and write the core code yourself. Youre the technical center of gravity for the team. You will guide and work shoulder-to-shoulder with the other engineers through the architecture and the code, without managing them directly. Leadership here is by design and example, not by org chart.
Stand up a fully agentic SDLC. Establish how we design, generate, review, and ship code with AI agents end to end: the tooling, guardrails and CI gates that let a small team punch far above its size.
Stand up the environment. Establish a fresh, greenfield Azure environment for Labs on a Kubernetes-native, Everything-as-Code foundation: IaC (Terraform, Helm), GitOps (ArgoCD or similar) and CI/CD from day one. In the early days that means rolling up your sleeves on the platform groundwork (subscriptions, networking, environments), working hands-on alongside Microsofts teams to get us live.