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2 ימים
חברה חסויה
Location: Merkaz
Job Type: Full Time
abra is hiring a Microsoft Fabric Architect to join our Data & AI Division! Are you passionate about designing modern cloud data platforms and driving enterprise-scale architecture? Join Abra's Data & AI Division and play a key role in building secure, scalable, and automated data solutions using Microsoft Fabric and Azure. Responsibilities
* Design and implement enterprise-scale data platform architecture using Microsoft Fabric.
* Lead the design and implementation of CI/CD processes, Git integration, and deployment pipelines for Microsoft Fabric.
* Define and promote DevOps, security, governance, and architectural best practices.
* Design cloud-native data solutions leveraging Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage Gen2, and Azure networking (VNet & Private Endpoints).
* Develop and maintain deployment automation using Azure DevOps, YAML Pipelines, ARM Templates, and PowerShell.
* Collaborate with Data Engineers, BI Developers, Architects, and business stakeholders to deliver high-quality, scalable solutions.
* Drive technical leadership, architectural standards, and continuous improvement across enterprise data platforms.
Requirements:
5+ years of experience in Azure cloud architecture, data platforms, DevOps, or related infrastructure roles. 2+ years of hands-on experience with Microsoft Fabric in a senior technical or architectural capacity.
* Proven experience designing and implementing Microsoft Fabric environments, including Git integration and deployment pipelines.
* Strong hands-on experience with Azure DevOps, including YAML Pipelines, ARM Templates, and CI/CD automation.
* Experience with Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage Gen2, and Azure networking (VNet & Private Endpoints).
* Strong understanding of enterprise DevOps principles, cloud security, governance, and infrastructure automation.
* Experience with PowerShell for deployment automation in Azure and Microsoft Fabric.
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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3 ימים
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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22/09/2026
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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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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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Data Architect to help define and evolve the data architecture of our SaaS platform and core products. You will work closely with product, delivery, and engineering squads to design scalable, reliable data systems, set technical direction for how data is ingested, modeled, stored, and served, 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 data architectures with teams, reviewing data models, pipelines and critical code, and driving shared standards and patterns across the organization, all in an advanced agentic environment.
Responsibilities:
Define and evolve the data architecture for key domains (ingestion, ELT/ETL, data modeling, storage, APIs, integration, observability, governance, and security), including owning the lakehouse/medallion architecture (bronze/silver/gold) and the data flows that move data across layers at scale.
Translate business and product requirements into pragmatic data designs, data contracts, and architecture roadmaps; create and maintain architecture artefacts (data flow/lineage diagrams, ADRs, reference implementations, modeling guidelines).
Evaluate design options and technology choices, articulate trade-offs, and lead decision-making with stakeholders; push forward the agentic mindset and implementation across the data platform.
Partner with squad leads and senior engineers to design data solutions, break down complex problems, and keep implementations aligned with the target architecture; participate in design/tech reviews to ensure NFRs (performance, scalability, data quality, resilience, security, operability) are addressed early.
Provide hands-on support where it matters most: spike and prototype critical data flows, review complex PRs, and help debug tricky production data and pipeline issues.
Collaborate with Product to shape technical feasibility, sequencing, and scope for data-driven roadmap items; communicate complex technical topics in simple language to non-technical stakeholders.
Define and promote data architecture principles, modeling conventions, coding standards, and reusable patterns (shared transformations, libraries, datasets, services) to reduce duplication and technical debt; drive adoption of shared platform capabilities (observability, CI/CD, orchestration, governance, DevOps tooling) across squads.
Ensure data architectures are observable, operable, and resilient by design; partner with DevOps/SRE on deployment, monitoring, data quality, and incident response; identify areas of high technical debt or architectural risk and lead remediation initiatives; define and track technical KPIs tied to architecture decisions.
Act as a technical mentor for senior engineers and tech leads, fostering a culture of thoughtful design, documentation, and constructive technical debate; lead by influence- help teams make better decisions instead of making every decision for them.
Requirements:
8+ years of experience in software / data engineering, including several years in a senior / staff / architect role designing complex data systems.
Strong experience designing modern data platforms and distributed data architectures (lakehouse/warehouse, batch and streaming/event-driven patterns, robust data APIs).
Experience working with columnar/serialization data formats such as AVRO and Parquet, including schema evolution and storage trade-offs.
Experience with DBT and ELT management tools for building, testing, and maintaining transformation pipelines.
Experience with Apache Airflow (or comparable orchestration tooling) for scheduling and managing data workflows.
Experience working with Databricks (or Snowflake) and medallion architecture (bronze/silver/gold).
This position is open to all candidates.
 
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לפני 6 שעות
Location: Ramat Gan
Job Type: Full Time
We are looking for a Senior Software Architect to lead the architecture and technical execution of AI products and shared AI capabilities.

This is a strategic and hands-on role for an architect who combines strong backend and distributed-systems expertise with practical experience in data platforms, cloud architecture, web technologies, and AI systems.

You will own the technical architecture from early concepts and proofs of concept through production delivery and operation. You will work closely with engineers, product managers, security researchers, and architects to turn emerging AI capabilities into secure, scalable, reliable, and maintainable products across SaaS and on-premises deployments.

The successful candidate will provide hands-on technical leadership, help engineers resolve complex design and implementation decisions, and ensure that the architecture supports product quality, operational simplicity, and long-term evolution.

What You Will Own

Define and drive the architecture of AI-powered products and shared AI capabilities across SaaS and on-premises deployments.
Design scalable backend services, APIs, data pipelines, data models, and storage solutions for AI and security workloads.
Lead architectural decisions across data ingestion, processing, retrieval, model integration, AI orchestration, and product integration.
Work closely with engineers throughout design and implementation, helping resolve complex technical decisions, trade-offs, and delivery challenges.
Provide hands-on technical leadership from early concepts and proofs of concept through production delivery and operation.
Design systems with clear controls for scalability, backpressure, bounded resource usage, resilience, data integrity, recovery, and observability.
Ensure solutions meet enterprise requirements for security, isolation, permissions, auditability, sensitive-data handling, and on-premises operation.
Define patterns for integrating AI models, retrieval systems, tools, workflows, and deterministic product capabilities.
Design AI-enabled workflows with quality, latency, cost, failure handling, model limitations, and operational complexity in mind.
Support the architecture and development of web-based AI experiences and their integration with backend services and Aqua product workflows.
Evaluate technologies and conduct proofs of concept to validate feasibility, performance, scalability, security, and operational fit.
Define and document architecture standards, technical guidelines, and reusable patterns for the AI team.
Review system designs and critical implementations, and mentor engineers on architecture, backend development, data systems, and production readiness.
Collaborate with Product and Engineering to balance customer value, delivery speed, technical risk, and long-term maintainability.
Partner with other architecture and platform teams to reuse existing capabilities and maintain alignment across Aqua products.
דרישות:
8+ years of experience designing and building backend systems, including large-scale or distributed production systems.
Strong hands-on backend development experience, preferably with Python and Go.
Proven experience designing scalable APIs, services, data pipelines, and data-processing systems.
Strong knowledge of data modeling, relational databases, indexing, caching, and storage-system trade-offs.
Experience designing cloud architectures, preferably on AWS.
Experience designing products for both SaaS and on-premises deployments.
Strong understanding of Kubernetes, containers, distributed systems, networking, and modern deployment practices.
Experience designing systems for reliability, scalability, security, observability, recovery, and operational simplicity.
Experience with modern web development, including React, TypeScript or JavaScript, and npm.
Experience leading technical decisions from early concepts and proofs of concept through production delivery.
Experience drivin 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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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Solution Architect to bridge the gap between complex AI security challenges and real-world enterprise implementations. In this role, you will work closely with customers, Product, R&D, and Sales to design scalable, secure, and high-impact AI security solutions.

This is a strategic, customer-facing, and hands-on role where you will own the technical design of enterprise deployments and play a key part in shaping how our platform delivers value in production environments.

What Youll Do:

Own Customer Solution Design

Lead technical discovery sessions with enterprise customers to deeply understand their AI usage, architecture, and security requirements.

Design end-to-end solution architectures tailored to customer environments (cloud, hybrid, on-prem).

Translate security and governance needs into scalable technical implementations.

Be the Technical Bridge

Work closely with Sales during pre-sale processes to support technical validation and proof-of-value engagements.

Partner with Product and R&D to communicate field feedback and influence roadmap priorities.

Ensure smooth handover from pre-sale to post-sale implementation and ongoing optimization.

Drive AI Security Implementations

Architect integrations across AI systems, LLM applications, data pipelines, model layers, and runtime environments.

Define best practices for secure AI adoption, governance workflows, and observability frameworks.

Guide customers through architecture decisions, trade-offs, and scalability considerations.

Lead Technical Authority

Act as a trusted advisor to CISOs, security teams, and AI leaders.

Support complex technical escalations and architectural challenges.

Continuously stay ahead of trends in AI security, cloud architecture, and enterprise security frameworks.
Requirements:
What You Bring:

Hands-on technical background (architecture, engineering)

5+ years of experience in cybersecurity (Application Security, Cloud Security, AI Security, or related fields) - must.

Strong understanding of modern cloud environments (AWS / GCP / Azure) and enterprise architectures.

Experience designing or implementing complex technical solutions in enterprise environments.

Excellent communication skills and ability to translate technical depth into business value.

Customer-facing experience - pre-sale, post-sale, or strategic technical advisory roles.

Bachelors degree in Computer Science or equivalent practical experience.


Nice to Haves

Experience working with AI / LLM systems, model pipelines, or GenAI applications.

Background as a Product Manager in cybersecurity looking to transition into a more technical, architecture-focused role.

Experience in early-stage startups or high-growth environments.

Familiarity with governance frameworks, compliance requirements, and enterprise security standards.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8838172
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מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
25/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
looking for a Software Architect to lead the technical evolution of our next-generation AI cybersecurity platform. You'll work across teams to solve the company's most challenging architectural problems while remaining deeply hands-on - building prototypes, validating new technologies, and helping engineering teams deliver production-ready solutions. The role requires both deep engineering expertise and the ability to shape the architecture of large-scale data, cloud, and AI systems that power our platform.

What Youll Do
Responsibilities:
Partner with engineering teams to solve complex architectural and technical challenges, leading the design of scalable, secure, and maintainable systems.
Build and validate proofs of concept (PoCs) to evaluate new architectures, data platforms, AI capabilities, and emerging technologies.
Drive technical direction across engineering, product, and data science, turning new technologies into production-ready solutions.
Lead architecture and design reviews, ensuring scalability, reliability, security, and operational excellence.
Mentor engineers through hands-on collaboration, code reviews, and system design discussions while promoting AI-native engineering practices.
Requirements:
7+ years in a senior technical leadership role (Principal Architect, Staff Engineer, Lead Engineer, or equivalent), with a strong track record designing and delivering large-scale distributed systems and cloud-native architectures in production.
Strong background in cybersecurity and secure system design, including cloud security principles and enterprise compliance frameworks; experience in SaaS or cybersecurity products is a significant advantage.
Deep, hands-on experience with AWS, GCP, or Azure, and strong expertise in Kubernetes and containerized environments, with the ability to design for scale while maintaining simplicity and cost awareness.
Strong background in modern data platforms, streaming architectures, and complex event processing for large-scale, real-time workloads.
Hands-on experience integrating GenAI capabilities into production systems - RAG pipelines, agentic workflows, or LLM-based integrations - and familiarity with AI-native engineering practices, including coding agents.
Experience designing multi-tenant SaaS platforms with strong isolation and scalability, and excellent communication skills to influence architecture across engineering, product, and data science.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8796108
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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 :)
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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