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לפני 1 שעות
Location: More than one
Job Type: Full Time
We are looking for a Senior Cloud Infrastructure and DevOps Solutions Architect to join its Infrastructure Specialist Team. Academic and commercial organizations around the world are using our products to redefine deep learning and data analytics, and to power next-generation data centers. Join the team building and advising on many of the largest and fastest AI/HPC systems in the world!

We are looking for someone who combines deep technical expertise with strong consulting and communication skills. This role will engage directly with customers, partners, and cross-functional teams to assess, architect, and guide the implementation of large-scale infrastructure projects. The scope spans system architecture, Kubernetes-based platforms, and automation-serving as both a trusted advisor and a hands-on technical leader.

What Youll Be Doing:

Advise on and help maintain large-scale computational and AI infrastructure, including monitoring, logging, and workload orchestration (Kubernetes and Linux job schedulers).

Provide consultative guidance and perform hands-on troubleshooting across the full stack-from bare metal and operating system, through the software stack, container platform, networking, and storage.

Assess customer environments and recommend optimized, production-ready Kubernetes-based container platforms integrated with enterprise-grade networking and storage solutions.

Serve as a key technical resource: develop, refine, and document standard methodologies and operational guidelines to be shared with internal teams and customer stakeholders.

Support Development activities and engage in POCs/POVs to validate new features, architectures, and upgrade approaches.

Create and deliver high-quality documentation, including runbooks, onboarding materials, and best-practice guides for customers and internal teams.

Act as the technical leader for assigned customer accounts, providing strategic guidance on DevOps and platform architecture and influencing long-term infrastructure and operations decisions.
Requirements:
What We Need to See:

BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields, with 5+ years of professional experience in managing scalable cloud environments and automation engineering roles.

Cloud & HPC Expertise: Proven understanding of networking fundamentals, data center architectures, and hands-on experience managing HPC/AI clusters, including deployment, optimization and troubleshooting.

Our GPU Expertise: Demonstrated hands-on experience deploying, configuring, and optimizing our GPU-accelerated infrastructure, including driver management, CUDA toolkit integration, and GPU workload profiling.

Kubernetes & AI/ML Workloads: Extensive experience with Kubernetes for container orchestration, resource scheduling, scaling, and integration with GPU-accelerated and HPC environments.

Hardware & Software Knowledge: Strong familiarity with HPC and AI technologies (CPUs, GPUs, high-speed interconnects) and supporting software stacks.

Linux & Storage Systems: Deep knowledge of Linux (RedHat, Ubuntu), OS-level security, and protocols.

Automation & Observability: Proficiency in Python and Bash scripting, configuration management, and Infrastructure-as-Code tools (e.g., Ansible, Terraform). Experience with observability stacks (Grafana, Loki, Prometheus) for monitoring, logging, and building fault-tolerant systems.

Solution Architecture & Customer Engagement: Strong background in crafting scalable solutions and providing consultative support to customers, including leading architectural reviews and presenting to executive stakeholders.

Ways to Stand Out from the Crowd:

Knowledge of CI/CD pipelines for software deployment and automation.

Solid hands-on knowledge of Kubernetes and its operators for GPU and Network management.

Practical experience with SLURM, MPI, enroot and job provisioning.
This position is open to all candidates.
 
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6 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Technical Solution Architect to join our Solutions team. In this role, you will work closely with customers, Sales Engineers, Product, and Engineering to deliver successful Proofs of Concept (POCs) and solve complex technical challenges.

Everyone in our company is a builder. In this role, youll contribute directly to the platform by building product features, developing proof-of-concepts for customers, and creating internal tools that improve, streamline, and accelerate the POC process.

This is a highly hands-on position for someone who enjoys diving deep into customer environments, working with data, building technical solutions, and creating value beyond the product itself. You'll play a key role in helping enterprise customers realize the full potential of our AI security platform while influencing product direction through real-world customer feedback.


What You'll Do
Lead the technical execution of customer Proofs of Concept (POCs), from initial design through successful delivery.
Partner with Sales Engineers to provide deep technical expertise throughout the sales cycle.
Build tools to accelerate deployments and demonstrate customer value.
Participate in customer workshops, architecture discussions, and live debugging sessions.
Analyze raw customer data to uncover insights and validate platform capabilities.
Design creative technical solutions that address customer use cases, even beyond the platform's out-of-the-box capabilities.
Troubleshoot complex technical issues across customer environments and work closely with Engineering to resolve them.
Collaborate with Product and R&D to communicate customer feedback and influence future product capabilities.
Build technical best practices, reusable assets, and implementation playbooks to improve future deployments.
Serve as a trusted technical advisor throughout the customer journey.
Requirements:
What You'll Bring
5+ years of experience in Solution Architecture, Solutions Engineering, Professional Services, Forward Deployed Engineering, or a similar customer-facing technical role.
Strong software engineering.
Experience working with APIs, integrations, automation, and data processing.
Strong understanding of Kubernetes, Linux, networking, containers, and cloud platforms (AWS, Azure, or GCP).
Experience analyzing datasets and troubleshooting complex technical environments.
Ability to quickly understand customer architectures and design practical solutions.
Excellent communication skills with the ability to explain complex technical concepts to both technical and business audiences.
A proactive, customer-first mindset with a passion for solving challenging problems.
Ability to thrive in a fast-paced startup environment.
Experience with AI, cybersecurity, cloud-native technologies, or developer platforms.


Nice to Have
Experience supporting enterprise POCs or large-scale deployments.
Familiarity with CI/CD pipelines, DevOps practices, and infrastructure-as-code.
Experience working directly with Product and Engineering teams to influence roadmap decisions.
This position is open to all candidates.
 
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לפני 5 שעות
חברה חסויה
Location: More than one
Job Type: Full Time
We are seeking a senior, hands-on End-to-End Architect to define and drive system architecture for next-generation AI and accelerated computing platforms. Join our E2E Architecture group, where we build large-scale solutions that bring together high-capacity communication systems, software, physical devices, and infrastructure.

In this role, you will own system-level architecture across multiple technologies and organizational boundaries. You will interpret product and business requirements to develop complete architectural solutions, identify gaps across system components, and drive technical alignment from early definition through productization and deployment.



What Youll Be Doing:

Define end-to-end system architectures for Spectrum-X solutions, covering networking, software, hardware, infrastructure, and application integration.

Lead architecture tasks for the entire solution lifecycle, from requirements and system definition through implementation, validation, deployment, and optimization.

Collaborate with systems, software, model, networking, platform, and application teams to deliver integrated, high-performance solutions.

Evaluate and integrate new software and hardware technologies relevant to core Spectrum-X capabilities, including load balancing, telemetry, congestion control and more.

Translate product and business requirements into system architecture, component requirements, interfaces, and technical execution plans.

Identify architectural gaps, dependencies, tradeoffs, and performance bottlenecks across the end-to-end system.

Work closely with productization teams, including test, validation, deployment, and support, to ensure the complete solution is reliable, scalable, and ready for production.

Author architecture documents, design specifications, technical requirements, and technical publications.

Provide technical leadership and guidance to engineering teams throughout implementation and integration.
Requirements:
What We Need to See:

Bachelors, Masters, or PhD degree in Computer Science, Electrical Engineering, or equivalent experience.

5+ years of experience in software architecture, systems engineering, or the development of large-scale, performance-critical systems.

Strong networking background, including a deep understanding of high-performance networks, distributed systems, and networked applications.

Deep understanding of deep learning systems, GPU acceleration, and AI model execution flows

Proven experience defining and delivering end-to-end architectures that span software, hardware, networking, and infrastructure.

Experience leading complex technical initiatives in a large-scale, multi-functional environment.

Ability to translate broad product goals into clear architectural requirements, interfaces, tradeoffs, and execution plans.

Excellent communication and technical leadership skills, with the ability to influence decisions across teams with multifaceted strengths and organizational boundaries.



Ways to Stand Out from the Crowd:

Experience architecting high-performance networking solutions for AI, cloud, data center, or distributed computing environments.

Familiarity with NVIDIA networking technologies and the Spectrum-X platform.

Background in AI training or inference infrastructure, GPU-accelerated systems, or large-scale compute clusters.

Experience with AI Accelerators and distributed communication patterns, congestion control and/or load balancing.

Proven success identifying and resolving efficiency constraints across complex, multi-component systems.
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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לפני 5 שעות
Location: Tel Aviv-Yafo
Job Type: Full Time
We are now looking for a Solution Architect - Deep Learning based in Israel. The individual will collaborate with brand-new Agentic and Physical AI tools alongside Machine learning, Deep Learning, and Data analytics to improve workflows and develop groundbreaking solutions. We are widely considered to be one of the technology worlds most desirable employers. We have some of the most dedicated individuals in the world working for us. If you're creative and autonomous, we want to hear from you!

What You'll Be Doing:

Assisting field business development in guiding the customer through the sales process for GPU Computing products, owning the technical relationship and assisting the customer in building innovative solutions based on our technology.

Be a motivating leader in integrating our technology into HPC architectures to support scientific and engineering applications.

Be an internal champion for Deep Learning and Data Science among the technical community.

Develop demo solutions and showcase to the AI ecosystem.
Requirements:
What We Need To See:

B.sc or M.sc in Engineering, Mathematics, Physics, or Computer Science or equivalent experience.

5+ years of experience in software development or extensive data analytics, CUDA experience highly desirable.

Experience working with modern Deep Learning software architecture and frameworks including PyTorch, VLLM, Triton.

Proven Exposure to GPU technology and CUDA programming.

Demonstrable experience in strategy, research, communications.

Capable of working in a constantly evolving environment without losing focus.

Committed with strong analytical and problem solving skills.

Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.

Direct experience participating in communities (expertly or as highly engaged developer).


Ways To Stand Out From The Crowd:

Technical knowledge of developer digital platforms and their trends.

Experienced working with containers, Kubernetes and MLoPS tools

Exposure to C, C++ and Python.

Research background.

Good presentation skills.
This position is open to all candidates.
 
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לפני 1 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a skilled and adaptable Solution Architect to manage deep technical engagements during both pre-sales and post-sales activities. This role focuses on ensuring smooth deployment, addressing post-sales technical challenges, and delivering long-term value to customers by leveraging our advanced cybersecurity solutions.
Responsibilities
Build and maintain strong relationships with customers, serving as their trusted technical advisor to understand and address their needs, challenges, and goals.
Collaborate with internal teams, including Research and Development (R&D) and Product, to align solutions with customer needs.
Assist in the technical aspects of Proof of Concepts (PoCs) and lead pre-deployment readiness.
Drive post-sales success by solving complex technical issues, and implementing solutions in collaboration with customer and internal teams.
Proactively identify and communicate opportunities for improving customer security posture through solution enhancements and integrations.
Conduct technical training sessions for customer teams to ensure seamless adoption and effective use of our platform.
Stay informed about the latest trends and technologies in cybersecurity, networking, and AI to provide cutting-edge solutions to customers.
Requirements:
2+ years of experience in a customer-facing technical role, such as Solution Architect, Solutions Engineer, Professional Services Engineer, or Technical Consultant.
3+ years of hands-on cybersecurity experience in a technical role, such as Systems Architect, Software Engineer, or Security Researcher.
Technical Background: Strong software development background with experience in solution architecture, systems integration, APIs, and technical delivery.
Cybersecurity Expertise: Deep knowledge of SIEM, EDR/XDR, threat intelligence, vulnerability management, security controls, detection techniques, and attack methodologies.
Networking: Strong understanding of networking protocols, network security, firewalls, NAC, segmentation, network topologies, and network-based attacks.
Problem Solving: Proven ability to troubleshoot complex technical challenges and design practical, scalable solutions.
Customer Engagement: Excellent communication and presentation skills, with the ability to influence both technical and executive stakeholders.
Ownership: Proactive, independent, and accountable, with the ability to drive customer engagements from design and PoC through deployment and production.
Cross-functional Collaboration: Experience working closely with R&D and Product to resolve customer challenges and improve product capabilities.
Customer Success: Strong focus on customer value, adoption, and successful outcomes in fast-moving environments.
Willing to travel
Advantages:
Hands-on experience with DevOps technologies
Experience with Incident Response/Threat Hunting operations
Bachelors degree in Computer Science, Information Security, or a related technical field.
This position is open to all candidates.
 
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לפני 5 שעות
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are seeking a sharp, innovative, and hands-on Architect to help shape the future of LLM inference at scale. Join our dynamic E2E Architecture group, where we build ground breaking systems powering the next generation of generative AI workloads. In this role, you will work across software and hardware domains to design and optimize inference infrastructure for large language models running on some of the most sophisticated GPU clusters in the world. Youll help define how AI models are deployed and scaled in production, driving decisions on everything from memory orchestration and compute scheduling to inter-node communication and system-level optimizations. This is an opportunity to work with top engineers, researchers, and partners across us and leave a mark on the way generative AI reaches real-world applications.

What Youll Be Doing:

Design and evolve scalable architectures for multi-node LLM inference across GPU clusters.

Develop infrastructure to optimize latency, throughput, and cost-efficiency of serving large models in production.

Collaborate with model, systems, compiler, and networking teams to ensure complete, high-performance solutions.

Prototype novel approaches to KV cache handling, tensor/pipeline parallel execution, and dynamic batching.

Evaluate and integrate new software and hardware technologies relevant to Core Spectrum-X technologies, such as load balancing, telemetry, congestion control, vertical application integration.

Work closely with internal teams and external partners to translate high-level architecture into reliable, high-performance systems.

Author design documents, internal specs, and technical blog posts and contribute to open-source efforts when appropriate.
Requirements:
What We Need to See:

Bachelors, Masters, or PhD in Computer Science, Electrical Engineering, or equivalent experience.

8+ years of experience building large-scale distributed systems or performance-critical software.

Deep understanding of deep learning systems, GPU acceleration, and AI model execution flows and/or high performance networking.

Proven software engineering skills in C++ and/or Python, preferably demonstrate strong familiarity with CUDA or similar platforms.

Strong system-level thinking across memory, networking, scheduling, and compute orchestration.

Excellent communication skills and ability to collaborate across diverse technical domains.

Ways to Stand Out from the Crowd:

Experience working on LLM - training or inference pipelines, transformer model optimization, or model-parallel deployments.

Proven success in profiling and optimizing performance bottlenecks across the LLM training or inference stack.

AI Accelerators and distributed communication patterns, congestion control and/or load balancing.

Shown optimization process for complex systems, deployed at scale to make impact.

Proven experience successfully driving complex organizational processes from planning through implementation.
This position is open to all candidates.
 
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4 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking an experienced Principal Architect to lead the architecture of high-performance connectivity solutions, with a strong focus on PCIe, high-speed networking, and Ethernet-based systems.
This role will define next-generation architectures for AI infrastructure, working at the intersection of silicon, system, and protocol design. You will play a key role in shaping innovative solutions that enable hyperscale customers to build scalable, high-bandwidth, and low-latency systems.

This is a unique opportunity to join a new and growing Israel site, influence technical direction, and take ownership of critical architectural decisions impacting industry-leading products.

Key Responsibilities
Define and drive system and chip-level architecture for high-speed connectivity products.
Lead architecture for PCIe-based interconnects, networking protocols, and Ethernet subsystems.
Analyze system requirements and translate them into scalable and efficient hardware architectures.
Drive tradeoff analysis across performance, power, latency, area, and cost
Collaborate with cross-functional teams including RTL, Physical Design, Firmware, Validation, and Product Engineering.
Define and review micro-architecture specifications and ensure alignment across teams.
Contribute to standard-based and custom protocols for next-generation AI infrastructure.
Support performance modeling, simulation, and architectural validation.
Work closely with customers and partners to understand emerging use cases and requirements.
Mentor engineers and help build strong technical leadership within the Israel R&D center.
Requirements:
Basic Qualifications
10+ years of experience in semiconductor architecture, ASIC design, or system engineering.
Strong expertise in PCIe architecture (Gen4/5/6+) and its ecosystem.
Deep understanding of Networking and Ethernet (e.g., 25G/50G/100G/400G and beyond).
Experience designing high-speed, low-latency data paths.
Solid understanding of SoC architecture and integration challenges.
Experience working across full chip development lifecycle.
Strong analytical and problem-solving skills with ability to evaluate complex tradeoffs.
Ability to influence and collaborate across multiple engineering domains.


Preferred Experience
Experience with CXL, NVLink, UALink, or other advanced interconnect protocols.
Background in AI/ML infrastructure, data center systems, or hyperscaler environments.
Experience with SerDes-based systems and high-speed PHY integration.
Familiarity with networking stacks, switching, or RDMA technologies.
Experience with performance modeling tools and architectural simulators.
Knowledge of power/performance optimization techniques at system level.
Track record of driving architecture from concept to silicon.
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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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8803959
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
30/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a hands-on Tech Lead to join our R&D. Reporting directly to the Chief Architect, you will step into a rare opportunity with a fast-growing company to shape the technical future of our platform. You will serve as a technical anchor for the organization, driving the architectural evolution of our high-scale, cloud-native infrastructure built on AWS and Kubernetes, while pioneering the integration of AI across our product and engineering workflows.
Responsibilities:
Drive the technical roadmap for Firefly's platform, working closely with the Chief Architect: architecting new systems and features and continuously improving existing ones.
Lead architectural decisions across the platform's core surfaces: services, data pipelines, workflow orchestration, and multi-tenant infrastructure.
Stay hands-on in the code: build critical components, prototype new capabilities, and lead by example inside the development teams.
Establish the platform foundations: shared services, libraries, and standards used across teams.
Architect AI-powered capabilities into Firefly's product and drive AI-assisted development workflows that amplify engineering productivity across the org.
Drive end-to-end technical solutions, from API design and service boundaries to data modeling and deployment.
Build proofs-of-concept for critical paths and high-risk decisions, and act as the technical anchor for projects from design through delivery.
Write design documents, RFCs, and architectural decision records that drive cross-team alignment and capture the reasoning behind technical decisions.
Mentor engineers across teams through design and code reviews, and act as a focal point for technical questions across R&D.
Requirements:
8+ years of recent, hands-on experience designing and building large-scale distributed systems, with strong understanding of microservices, event-driven systems, and SaaS architecture patterns.
Expertise in data architecture: schema design, indexing, and data governance.
Strong backend development experience (Go, Java, or similar).
Hands-on expertise across modern data stores: relational, document, and search (e.g., PostgreSQL, MongoDB, Elasticsearch).
Strong API design skills and experience with both synchronous and asynchronous service communication (REST, gRPC, Kafka).
Hands-on experience with cloud-native environments and workload management tools (Kubernetes, AWS/GCP/Azure, or similar).
Experience designing observability for distributed systems (metrics, logs, traces) with tools like OpenTelemetry, Prometheus, and Grafana.
Experience leading architectural decisions across multiple engineering teams, writing design documents, and bridging between product, business, and engineering.
Strong hands-on experience with AI coding agents, with the ability to design, drive, and enhance AI-assisted development workflows across engineering teams.
Advantages:
Strong understanding of LLM-based application development and agent design, including tool execution frameworks and runtime safety.
Experience with workflow orchestration engines such as Temporal or Cadence.
Familiarity with Infrastructure-as-Code tooling (Terraform, OpenTofu) and CI/CD pipelines.
Background in cloud asset management, CSPM, or cloud security domains.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8801952
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סגור
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 :)
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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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8796435
סגור
שירות זה פתוח ללקוחות VIP בלבד