דרושים » תוכנה » Chief Architect, SASE/SSE

we are seeking a Hands-on Architect to design, build, and evolve the core of next-generation AI cybersecurity platform.This is not an ivory-tower role; it is for a builder at heart. You will write code, build functional prototypes, and own critical services from inception to production. This role demands a unique blend of deep, code-level execution with a broad, system-wide architectural vision that spans our entire data, cloud, and AI stack.
Responsibilities:
Rapidly code and build functional proofs of concept (PoCs) and prototypes to explore and validate new architectures, data platforms, data processing frameworks, and GenAI capabilities.
Validate technical feasibility, scalability, and business impact through working software, not just diagrams or documents.
Partner closely with engineering, product and data science teams to translate emerging technologies into production-ready, scalable systems.
Lead architecture design reviews, proactively identify scalability and performance bottlenecks, and embed security principles into the design process from day one.
Serve as a technical leader and mentor, elevating the team's skills through pair programming, in-depth code reviews, and deep-dive sessions on system design and software craftsmanship.

Were looking for a DevOps Architect to help shape the infrastructure strategy behind our Revenue AI platform. This role sits at the center of our engineering ecosystem, driving architectural direction, improving operational excellence, and enabling teams to scale with confidence. Youll work across engineering groups to identify systemic gaps, define scalable standards, and accelerate execution without becoming a delivery bottleneck.
Youll Own:
Infrastructure Strategy & Standards: Define and evolve our cloud and infrastructure architecture across Kubernetes, networking, observability, security, and data platforms. Establish clear standards and scalable best practices that enable teams to move faster with consistency and reliability.
Technical Debt & System Health Visibility: Continuously identify, prioritize, and drive resolution of cross-team technical debt, architectural gaps, and operational inefficiencies. Create organizational visibility around the most critical infrastructure challenges and opportunities.
Cross-Org Technical Leadership: Partner closely with engineering leaders and teams to influence architectural decisions, challenge assumptions, and ensure solutions are scalable, maintainable, and secure. Lead through expertise and influence, not direct ownership.
Developer Enablement & Engineering Velocity: Provide frameworks, tooling direction, and lightweight prototypes or POCs that empower teams to execute independently with higher quality and efficiency.
Critical Infrastructure Initiatives: Drive major cross-functional initiatives around reliability, scalability, security, observability, and cost optimization from identification through execution and measurable impact.
Youll Solve:
Scaling Complexity: How do we maintain simplicity, reliability, and operational clarity while supporting rapid growth and increasingly complex distributed systems.
Cross-Team Alignment: How do we create architectural consistency across independent engineering groups without slowing down innovation and execution?
Operational Excellence at Scale: How do we proactively surface and resolve systemic weaknesses before they become production issues?
Balancing Speed & Sustainability: How do we enable fast delivery today while protecting the long-term health and scalability of the platform?
AI Infrastructure Evolution: How do we build infrastructure that supports modern AI/ML workloads, GPUs, large-scale data pipelines, and future platform requirements
Youll Impact:
Platform Reliability & Scalability: Your work will directly improve the resilience, scalability, and operational maturity of our infrastructure platform.
Engineering Efficiency: By creating better standards, tooling, and architectural guidance, youll act as a force multiplier for engineering teams across the company.
Long-Term System Health: Youll help reduce operational friction, minimize technical debt, and ensure our infrastructure can support long-term business growth.
Execution Quality Across Teams: Your influence will elevate engineering quality, decision-making, and operational discipline throughout the organization.

We're looking for an SVP of Engineering to scale our AI-powered platform and deliver products that protect millions of customers worldwide.
You'll lead our global engineering and data science organization as we build the future of insurance, where cutting-edge AI meets human-centered design. This role sits on our executive team and reports directly to our Chief Product Officer, driving technology decisions that create real customer value.
We believe two things matter for every leadership role leadership that sets the bar for excellence, builds high performing teams, and holds them accountable, and strategy that thinks several years ahead and turns ambitious plans into reality. These aren't buzzwords, they're how we actually work.
In this role you'll
Build and execute a technology strategy that turns vision into scalable, secure platforms customers love
Lead and mentor senior engineering leaders while fostering a culture where speed meets quality
Translate product roadmaps into multi-year engineering plans that balance innovation, reliability, and cost
Oversee complex delivery across software, data, AI/ML, and infrastructure - always with product outcomes in mind
Drive talent strategy for engineering teams, from hiring plans to performance management and retention
Represent engineering in executive discussions, communicating progress and trade-offs to drive smart decisions

As an Engineering Manager at Cortex Cloud, you will lead a team of ~6 engineers operating in one of our most complex and cross-functional domains. This role requires a strong blend of people leadership and deep technical expertise, including systems design and large-scale distributed cloud architectures. You will be responsible for driving the design and delivery of complex, high-impact systems, while ensuring the team executes against the roadmap with both speed and engineering rigor.
Key Responsibilities
Build, mentor, and lead a high-performing software engineering team, fostering a culture of empowerment and driving both individual growth and collective impact.
Partner closely with Product Management and cross-functional teams (Infrastructure, Research, UX) to define priorities and shape multi-quarter product roadmaps, ensuring alignment across all stakeholders.
Own the end-to-end software development lifecycle, translating product strategy into executable plans and ensuring consistent, high-quality, on-time delivery.
Provide architectural leadership for scalable, distributed systems operating at petabyte scale, guiding the design and implementation of high-throughput, cloud-native backend microservices.
Drive production readiness by enforcing best practices around deployment, observability, reliability, and runtime stability, focusing on the details to ensure operational excellence.
Align stakeholders across business units through clear communication of technical strategy, trade-offs, priorities, risks, and execution plans.
Engage directly with strategic customers to lead technical deep dives and architecture reviews, and to influence future product direction.
Foster a culture of high engineering standards, accountability, and continuous improvement, with a strong emphasis on quality and security.

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.

we are looking for a AI Architect.
Responsibilities:
1. AI Architecture & Technical Leadership
Guide AI architectural direction across Navinas platform, focusing on system design, model lifecycle, and integration of AI components into product workflows.
Act as a senior technical reviewer and thought partner for complex or cross-team AI design decisions.
Provide technical oversight on areas such as exploring new models/technologies/opportunities for the company
Surface architectural risks, tradeoffs, and long-term implications, including cost, security and compliance aspects and clearly advise the VP of AI when certain technical directions should not be pursued.
This role influences judgment, clarity, and experience, not through blocking authority.
2. Hands-on Applied Innovation (Core Pillar | ~50%)
Spend at least 50% of time hands-on, building:
End-to-end AI prototypes
Technical demos and proofs of concept
Exploratory implementations of new AI capabilities
Drive applied innovation that:
De-risks new technologies
Demonstrates feasibility and impact
Informs product direction and business opportunities
Build fast, concrete examples that teams can learn from and extend.
Transition successful prototypes to team ownership for further development and scaling.
This role is expected to lead AI innovation by doing, while working closely with product, medical and engineering
3. Best Practices & Technical Enablement
Define and promote best practices for applied AI development, including:
Rapid prototyping and vibe coding.
Agent design, orchestration, and evaluation patterns
Experimentation, benchmarking, and validation workflows
Help teams align on shared technical patterns, tools, and standards.
Identify opportunities to consolidate duplicated efforts and improve cross-team coherence.
Lead technical deep dives, architecture discussions, and design reviews.
4. AI Compliance & Regulatory Enablement (Technical Scope)
Ensure Navinas AI development practices align with applicable AI regulations for a software product handling sensitive medical data.
Define and guide AI-specific compliance practices, including data usage, transparency, evaluation, and documentation expectations.
Support and contribute to AI-related compliance and regulatory documentation, in close collaboration with Legal, Security, and Medical Research teams.
Serve as a technical point of reference for AI compliance questions.

We are looking for a Hands-On Software Architect to join our architecture group and work alongside some of the most experienced engineers in the industry.

As a Hands-On Architect, you will actively design, build, and evolve large-scale software systems, set technical direction, and work day-to-day with development teams, product, and other stakeholders to deliver reliable, scalable solutions.

If you are passionate about making real impact, enjoy solving hard problems end-to-end, and thrive in distributed systems that process billions of events per day, wed love to talk.

What Youll Do:
Lead the design and implementation of complex, distributed software systems in production.
Work closely with developers, product owners, and stakeholders to translate business needs into practical, scalable architectures.
Define and drive engineering standards: architecture patterns, coding standards, testing strategies, and operational best practices.
Stay hands-on: write code, review code, and participate in technical problem-solving across teams.
Mentor and coach developers and tech leads, raising the overall technical bar.
Review designs and implementations to ensure solutions are high-quality, maintainable, and resilient.
Continuously evaluate new technologies and approaches, recommending improvements where they provide clear value.
Be involved in production systems: deployments, observability, performance tuning, and incident analysis.

We are seeking an AI Networking Architect to join the Networking Research Group. This role will help bridge the gap between emerging tasks supported by advanced technologies and the data center infrastructure that powers them. In this role, you will work at the intersection of AI applications, distributed systems, networking hardware, and software architecture.

You will join a focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding, network analysis, and end-to-end systems thinking. Your insights will directly shape our products across the full stack - from applications and software libraries to hardware architecture and physical design.


What Youll Be Doing:

Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations.

Analyze brand-new AI models, distributed training techniques, and inference workloads to understand their infrastructure requirements.

Build Platforms, simulations and HW platforms, execute AI workloads and build analytical tools to evaluate trade-offs across compute, memory, storage, and network behavior.

Translate research insights and workload behavior into actionable software, hardware, and networking architecture requirements.

Partner with architecture, software, and product teams to influence future NVIDIA networking and AI infrastructure roadmaps.

Drive architectural innovation by applying deep workload analysis to real-world advanced machine learning frameworks.

We are looking for an experienced Software Architect to lead the design and development of our AI-driven software solutions. This role combines deep hands-on architecture with technical leadership, working closely with the CTO to shape system design, guide teams, and align engineering efforts with business goals, with a strong focus on AI-driven capabilities.
Responsibilities
Design and implement software architecture and system structure
Provide technical leadership and architectural guidance to engineering teams
Own the architectural vision and contribute to the technology roadmap
Translate business requirements into scalable technical solutions
Design and evolve AI/GenAI components, including model integration, orchestration and data flow
Guide teams on efficient use of LLMs (latency, cost, scalability)
Evaluate and recommend tools, technologies, and processes
Work closely with the CTO, product, and engineering teams to ensure alignment between architecture and business goals
Ensure quality, scalability, performance, and reliability of the system.

Required Software Architect
Location: Tel Aviv; Hybrid office/home.
About the Job
The Software Architect role involves defining, leading, and evolving the technical architecture of our flagship product. Youll be the driving force behind critical architectural decisions, ensuring our systems are scalable, reliable, and secure. This is a hands-on leadership role where youll balance long-term architectural vision with the immediate needs of delivery.
Beyond designing robust solutions, youll play a key role in shaping our engineering culture. Youll provide technical guidance across the entire software development lifecycle, and collaborate closely with cross-functional teams, including DevOps, QA, Automation, Product, Support, Sales, and Engineering leadership.
Key Responsibilities
Define and evolve the technical architecture of our product across its SaaS, client-server, and multi-OS deployments.
Ensure the scalability, security, performance, and maintainability of our microservices-based systems.
Lead the technical design and execution for new features, from initial concept to final deployment.
Collaborate with DevOps on containerization, orchestration, and advanced CI/CD pipelines (e.g., Docker, Podman, Kubernetes).
Partner with QA & Automation to guarantee testability, resilience, and high-quality delivery.
Work closely with product teams to translate business requirements into robust technical solutions.
Mentor and provide technical guidance to developers, team leaders, and group leaders to foster a strong engineering culture.
Drive the adoption of architectural best practices in code quality, design patterns, and system integration.
Collaborate with Support & Sales to understand customer needs and inform architectural improvements.
Serve as the technical authority for governance, reviewing designs, enforcing architectural guidelines, and ensuring consistency across all engineering teams.
Our Tech Stack
Languages: C#, Python, TypeScript (Angular)
Database & Storage: PostgreSQL, Elasticsearch, Redis (DB, Cache, Streams)
Containers & Orchestration: Docker, Podman, Kubernetes
Architecture: SaaS, Microservices, Multi-OS deployments, High-scale Client-Server systems.