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לפני 8 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a As a Key Solutions Architect- Prompt, you will be tasked with supporting AI Security business (Prompt Security), you are the embedded technical consultant for our post-sales technical resource, guiding enterprise customers through deployment, onboarding, and long-term success on our platform. You'll work alongside senior Solutions Architects and Account teams, assisting in ad hoc troubleshooting and taking ownership of your own accounts as you build experience while getting mentorship on more complex engagements.
Requirements:
2+ years of experience in a technical, customer-facing, or IT/security role (internships, co-ops, and relevant coursework/certifications count), with cybersecurity exposure a plus.
Foundational understanding of IT/security concepts; coursework or hands-on experience with Windows, macOS, Linux, and basic containerized environments (e.g., Docker/Kubernetes) is a plus.
Strong communication skills and comfort presenting to technical audiences.
Eagerness to learn, take ownership, and grow technical depth quickly.
Basic familiarity with project management or CRM tools (e.g., Asana, Jira, Salesforce) is a plus
Prior experience in Custome-Facing technical roles.
Experience working with AI systems.
Exposure to cloud infrastructure, APIs, or SaaS platforms.
Embodies the SentinelOne values: Trust, Accountability, OneSentinel, Relentlessness, Ingenuity, and Community.
This position is open to all candidates.
 
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25/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a Field CTO / Principal Architect to serve as our most senior technical voice in the field - trusted by CTOs, CISOs, and engineering leaders at our most strategic enterprise accounts, and a technical backbone for our Pre-Sales and Field organization.

This is a hybrid role at the intersection of customer-facing technical leadership, security expertise, and field enablement. You'll lead high-stakes architecture conversations and proof-of-concept engagements, serve as an escalation point for both customer-facing technical challenges and internal Product/Engineering alignment, and build the playbooks and materials that make every Sales Engineer and Pre-Sales professional more effective.

What Youll Do
Responsibilities:
Serve as the primary senior technical presence in strategic and enterprise accounts, building trusted relationships with CTOs, CISOs, architects, and senior engineering leaders.
Lead architecture sessions, executive briefings, and POCs that demonstrate the depth and differentiation of the platform, while being the voice of technical truth in the sales process.
Help enterprise customers understand their AI agent risk surface and build a credible path toward governance, observability, and control.
Elevate the broader Sales Engineering team by sharing knowledge and building reusable technical assets (architecture guides, security frameworks, deployment playbooks).
Partner with GTM on positioning, technical objection handling, and competitive differentiation in senior-level enterprise deals, and represent us at industry events, advisory boards, and analyst briefings.
Bring structured feedback from the field to Product, Engineering, and Research, identifying patterns across accounts and influencing roadmap priorities based on what top customers need.
Requirements:
5+ years in enterprise technology, with a significant portion in customer-facing or field-facing technical leadership roles such as Field CTO, CTO, Principal Architect, Technical PM, or equivalent.
Deep technical fluency in AI systems - including AI agent architectures, LLM applications, agentic workflows, and tool use - as well as cloud infrastructure and developer platforms. You do not need to have built every system yourself, but you need to understand how they actually work and where they break.
Cybersecurity background is a must, with strong understanding of enterprise security architecture, SIEM, identity, cloud security, or related domains. Ability to hold your own in deeply technical conversations, architecture reviews, security assessments, and platform integrations, without needing preparation time.
Strong cross-functional instincts. You understand how sales cycles work, how Customer Success operates, and how to create value across the pre-sale and post-sale motion.
High ownership mindset. You treat your accounts like your own business and hold yourself accountable for their success.
Comfort operating in ambiguity. We are defining a new security category, there is no established playbook and you will help write it.
Excellent communication skills, both written and verbal, including the ability to produce technical content that is clear, authoritative, and audience-appropriate.
Experience in a high-growth startup or early-stage company is a strong plus.
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 2 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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לפני 2 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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31/08/2026
חברה חסויה
Location: Tel Aviv-Yafo and Netanya
Job Type: Full Time
We're seeking a hands-on AI Solutions Specialist to lead the development and implementation of enterprise-wide AI applications. In this pivotal role, you'll evaluate and deliver cutting-edge AI solutions to employees and teams across the organization. You'll spearhead AI solution projects from initial concept and gathering requirements through execution and widespread adoption, serving as the central point of contact between business, IT, and data teams. You'll also be at the forefront of the latest AI technologies.

As an AI Solutions Specialist you will
Partner directly with cross-functional and non-R&D teams to understand workflows, pain points, decision-making processes, manual tasks, and operational bottlenecks - diagnosing where GenAI and AI Agents can provide real, measurable value.
Translate ambiguous business problems into clear AI use cases, MVP definitions, solution designs, success metrics, and rollout plans.
Lead the lifecycle of GenAI-driven applications and Agents, transitioning rapidly from initial concept and technical feasibility to full enterprise-grade production rollouts.
Build and configure AI-powered solutions, including agentic workflows, workflow automations, RAG-based tools, decision-support tools, and integrations with internal systems.
Conduct technical audits of emerging AI technologies, leading "Build vs. Buy" analyses to ensure global scalability, security, and measurable value to the organization.
Run training and enablement sessions for both technical and non-technical teams, fostering a culture of AI literacy and ensuring the organization can leverage new tools effectively.
Build and evolve the Enterprise AI technology stack, continuously scouting and integrating next-generation platforms, LLM orchestration tools, and agentic frameworks.
Serve as the primary technical liaison between IS, IT, Legal, and Data teams to ensure AI solutions are securely integrated and compliant with enterprise standards.
Be a product owner of enterprise AI platforms, driving continuous solution adoption, impact measurement, and performance optimization across the organization.
דרישות:
5+ years in a technical role such as software engineering, solutions engineering, automation engineering, AI engineering, business application implementation, or a similar hands-on role, including 1+ years delivering AI, GenAI, agentic, or automation solutions for business or operational users.
A clear builder track record: you have shipped tools, automations, workflows, internal products, or prototypes that people actually used.
Deep, hands-on understanding of the LLM lifecycle, including Prompt Engineering, Retrieval-Augmented Generation (RAG), fine-tuning strategies, AI agents, tool use, human-in-the-loop workflows, evaluations, and responsible AI patterns.
Proven experience in implementing Enterprise GenAI platforms (e.g., Gemini Enterprise, Claude Chat).
Hands-on experience developing agentic workflows on top of agentic framework tools like Google ADK, AgentCore, and low-code platforms (Workato)
Proven experience developing GTM-related projects, mainly around sales and marketing.
Proven knowledge of GTM best practices and technology.
Proven project management skills and a demonstrated product management mindset, including the ability to define MVPs, prioritize, separate nice-to-have ideas from high-value use cases, and measure outcomes.
Strong discovery skills with non-technical stakeholders: you can map how work happens today and redesign it around AI, automation, and human accountability.
Excellent communication skills: able to explain technical tradeoffs to business stakeholders and business context to technical teams, and to run training and enablement sessions.
Strong ownership and execution, with creative, out-of-the-box thinking: comfortable moving from ambiguous problems to working solutions, with a focus on business impact and the ability to run and react fast.
Full-stack Web development experienc המשרה מיועדת לנשים ולגברים כאחד.
 
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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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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
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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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21/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a visionary and highly influential Principal Software Engineer / Software Architect to define and drive the architectural direction of unified DataOps platform. This is a strategic and hands-on role where you will be responsible for the holistic design of our large-scale, cloud-native solutions, ensuring they are robust, scalable, secure, and maintainable. You will be instrumental in evolving our technology stack, ensuring our architecture supports future business growth and innovation, and mentoring the next generation of technical leaders.

What You'll Do
Define & Own Architecture: Define, evangelize, and own the overall software architecture vision and strategy for unified DataOps platform.

Lead System Design: Lead the design and evolution of complex, large-scale, and highly distributed cloud-native systems on AWS, ensuring high performance, scalability, reliability, and security.

Establish Standards: Establish and enforce architectural standards, best practices, and patterns across all engineering teams.

Strategic Collaboration: Collaborate closely with executive leadership, product management, and engineering teams to translate business strategy into actionable technical roadmaps and architectural solutions.

Hands-on Guidance: Provide hands-on architectural guidance, review critical designs, and contribute to proof-of-concepts or complex coding challenges when necessary.

Risk Mitigation: Proactively identify and mitigate architectural risks, anticipating future technical challenges and designing resilient solutions.

Technical Leadership & Mentorship: Mentor and provide strong technical leadership to senior engineers and other architects, fostering a culture of technical excellence and continuous learning.

Technology & Tooling: Drive technology selection, evaluation, and adoption processes, ensuring alignment with architectural principles and business needs.
Requirements:
We are seeking a strategic technical visionary and a chief builder of systems-level designs.

Must-Haves:

Experience: 7+ years of extensive experience in software development, with at least 3-5 years in a dedicated architecture or principal engineering role.

Large-Scale System Design: Proven track record of designing and delivering complex, large-scale SaaS platforms or highly distributed systems.

Architectural Expertise: Deep expertise in various system architecture patterns (e.g., microservices, event-driven, serverless) and their practical application.

Cloud Mastery (AWS): Mastery of cloud platforms, especially AWS, including extensive experience architecting solutions using a broad range of AWS services.

Technical Leadership & Governance: Strong capability in technical leadership, architectural governance, and mentorship.

High-Impact Decision Making: Ability to make critical high-level decisions with long-term impact on the system.

Hands-on Technical Expertise: Proven exceptional proficiency in core technologies like TypeScript, Node.js, React, Python and deep understanding of high-performance SQL/NoSQL database design and K8S

Experience working with message queue technologies (e.g., Kafka, SQS, RabbitMQ) to build scalable and reliable data pipelines.

Communication & Influence: Ability to communicate complex technical concepts clearly and persuasively to diverse audiences, from engineers to executive leadership.
This position is open to all candidates.
 
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Job responsibilities
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.
Requirements:
What you bring
Extensive experience as a Software Architect, Principal Engineer, or Staff engineer in data-intensive, distributed applications.
A proven ability to independently make sound technical decisions and solve complex, ambiguous problems across multiple teams and systems.
Deep expertise in distributed systems, including the trade-offs among consistency, reliability, performance, scalability, and operability.
Hands-on experience designing and evolving application-facing data platforms, APIs, frameworks, or query and data-access layers.
Strong knowledge of technologies such as PostgreSQL, Kafka, Redis, Cloud Infrastructure, and complex data systems.
Experience evolving complex production systems through migration, decomposition, or modernization - not only designing greenfield systems.
A practical architecture mindset: able to balance long-term direction with delivery needs and make trade-offs explicit.
Excellent written and verbal communication skills, particularly for architecture reviews, technical decision records, and cross-team alignment.
Experience with sensitive data, security, privacy, permissions, or multi-tenant systems is a strong advantage.
Experience enabling analytics, semantic data access, or AI-ready data platforms is a strong advantage.
This position is open to all candidates.
 
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