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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a Software Engineer to join Dashs core development team. You will design, build, and ship the platform that powers discovery, session-aware detection, policy governance, and runtime enforcement across workstations, SaaS, and cloud. You will work on scalable, low-latency services that process agent activity in real time and enforce security policies without slowing builders down. This role requires strong engineering fundamentals, a focus on system reliability, and an interest in the unique challenges of agentic security.
Responsibilities:
Design and Implement Services: Design, develop, and deploy scalable backend services and APIs for the Dash Security platform (customer and admin APIs, detection ingestion, aggregation, and control-plane services).
Build Core Features: Implement features for agent/MCP/skill discovery, session and intent-aware detection, policies, and runtime enforcement across coding agents and enterprise AI platforms.
Optimize Runtime Protection: Maintain and optimize high-throughput detection and enforcement pipelines that operate at enterprise scale (ingestion, detectors, verdicts, and policy dispatch).
Integrate with Platforms: Build and deepen integrations with coding agents, SaaS AI platforms, identity providers, EDR, SIEM, and outbound action systems to ingest telemetry and enforce controls.
Ensure Reliability: Focus on code quality, performance, monitoring, and stability through robust testing, CI/CD, and operational excellence.
Collaborate with Research: Partner with the AI Security Research team to turn findings, signatures, and heuristics into production-ready detectors and enforcement logic.
Contribute to Architecture: Participate in technical design and architectural reviews across our codebases, agents, and event-driven backend services.
Stay Current: Continuously learn and apply new technologies, development methodologies, and security best practices.
Requirements:
BSc./MSc. in Computer Science or equivalent industry experience.
5+ years of professional software development experience, preferably building scalable distributed systems.
Proficiency in TypeScript and Node.js with a preference for backnd development. Experience with Go or Python is alus.
Hands-on experience working with coding agents (e.g., Cursor, Claude Code) is a must, including practical use of agentic capabilities such as MCP servers, Skills, hooks, and similar agent tooling.
Experience with cloud computing platforms (preferably AWS) and containerization (Docker, Kubernetes).
Solid understanding of system design, data structures, algorithms, and microservices architecture.
Familiarity with databases (SQL and NoSQL) and event streaming technologies (e.g., Kafka).
Demonstrated ability to write clean, efficient, and well-tested code.
Curious, self-driven, and eager to contribute to a rapidly evolving field like agentic security.
This position is open to all candidates.
 
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2 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
We are a well-funded, early-stage startup looking for a talented and motivated Backend Engineer specializing in infrastructure to join our founding team. The focus of this role is to build and scale the infrastructure that powers autonomous AI agents automating complex enterprise workflows. You will own the systems, pipelines, and platforms that let our AI agents run reliably, securely, and at scale in production.

Your Impact
Infrastructure & Platform

Design, build, and own the core infrastructure powering our AI agent platform, from data pipelines to production deployment systems.

Build and scale the backend systems that support high-throughput document processing and data extraction workloads.

Cloud Infrastructure and Scalability

Architect and deploy infrastructure on cloud platforms (AWS, GCP, or Azure) with a focus on scalability, reliability, and cost efficiency.

Own containerization and orchestration (Docker, Kubernetes) for all production workloads.

Build and maintain CI/CD pipelines and DevOps practices that let the team ship fast without breaking things.

Data Infrastructure

Design and manage data pipelines to process and analyze large volumes of documents and unstructured data at scale.

Build the infrastructure layer connecting AI agents to databases, vector stores, and enterprise systems (ERP, CRM).

API & Systems Integration

Build and maintain robust, well-documented APIs connecting AI agents with external systems and enterprise software.

Design for reliability: retries, observability, and graceful degradation across distributed systems.

Security and Compliance

Implement authentication and authorization mechanisms (OAuth2, JWT) to secure AI-driven systems.

Ensure compliance with data privacy standards (e.g. GDPR, HIPAA) and drive best practices for secure data handling across the infrastructure.

Monitoring and Optimization

Build observability and monitoring systems to track infrastructure health, performance, and cost.

Continuously optimize system performance for speed, reliability, and cost-efficiency at scale.

Collaboration

Work closely with AI/ML engineers, product, and the founding team to make sure infrastructure decisions support fast iteration and production-grade reliability.

Participate in code reviews, design discussions, and architecture planning to drive infrastructure strategy.
Requirements:
5+ years of experience in backend or infrastructure engineering, ideally supporting production AI/ML systems or high-throughput data pipelines.

Proven track record of building and scaling infrastructure in production environments.
This position is open to all candidates.
 
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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 Senior Staff Software Engineer in the Detection Platform group, you will be tasked with being the technical authority responsible for defining and evolving the architecture of the cloud-native systems that power our AI SIEM detection, hunting, and response capabilities, including large-scale real-time detection engines, stateful detection engines, anomaly detections, ML pipelines, agentic SOC and threat-hunting capabilities. You will lead the design and execution of backend systems that process billions of events and several petabytes of data daily and serve tens of thousands of security specialists at enterprise and government customers worldwide. Your technical leadership will bridge long-term architectural strategy and high-velocity product delivery, and you will drive cross-team initiatives that shape how detection and response are built and operated across the group.
Requirements:
10+ years of software engineering experience with deep production-level mastery of Go and/or Java (Python a plus), and a strong track record of building and operating high-scale distributed backend services.
A track record of being a recognized subject-matter expert others seek out to review and elevate their designs, with a passion for building high-scale distributed systems.
Platform thinking: proven experience building and evolving platforms, not just features, with a focus on API design (gRPC, REST), service boundaries, multi-tenancy, and shared infrastructure in a high-scale SaaS environment.
Strong background in distributed data processing and microservices, building high-quality, scalable data products that handle millions of events per second.
Deep experience with AWS and/or GCP, Kubernetes, Docker, Postgres, Redis, Kafka, Cassandra, and ClickHouse.
Hands-on experience leveraging AI in the development process (e.g. AI coding assistants and agentic dev tools such as Claude Code, Cursor, or Copilot) and a desire to reshape how a team builds software to better utilize AI.
Experience embedding AI into production services, building agentic and LLM-powered capabilities. Familiarity with modern techniques such as agentic frameworks and orchestration, retrieval-augmented generation (RAG), the Model Context Protocol (MCP), vector databases, prompt engineering, and evaluation and guardrail frameworks for reliable AI systems is a strong advantage.
The ability to turn vaguely specified, complex requirements into efficient, future-proof end-to-end designs, and to drive multi-team initiatives and influence the engineering roadmap.
Strategic communication: able to articulate complex technical trade-offs to both technical and non-technical stakeholders, including Product Management, Directors, and VPs.
Ability to swiftly delve into new products, and to collaborate effectively with local and remote teams across time zones.
Customer focus: you care about delivering value and want to hear directly from customers on how to evolve your systems.
Previous experience developing security-related products is a strong advantage.
This position is open to all candidates.
 
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19/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
The Falcon Secure Access (FSA) team at CrowdStrike is expanding. As a Senior Software Engineer on our team, you will architect and deliver a next-generation secure access platform that converges Zero Trust Network Access with browser-native security.

You'll build the core systems that enable users to seamlessly and securely access internal sites, private applications, and cloud resources directly from the browser - without legacy VPNs or remote desktops - while enforcing real-time protection against zero-day exploits, phishing, data exfiltration, and unauthorized access.

This role sits at the intersection of network engineering and browser security: you'll design and implement advanced proxy communication, secure tunneling, and identity-aware routing - all operating at the browser's core to deliver holistic protection including DLP, insider threat detection, SaaS security, and continuous zero-trust verification.

What You'll Do:

Design and build ZTNA infrastructure - implement zero-trust access policies, secure tunneling, and identity-aware network routing that replaces traditional VPN architectures

Develop advanced networking solutions - build and optimize proxy communication layers, WebSocket-based transport, and encrypted client-to-server channels that handle millions of concurrent connections

Architect high-scale backend systems - design distributed microservices for policy enforcement, real-time threat detection, and access control at scale using Node.js / TypeScript

Implement secure client-server communication - design highly secured agent-to-cloud architectures with certificate pinning, mutual TLS, and encrypted tunneling protocols

Build browser-native security components - develop browser extensions and agents (Chrome, Edge, Firefox etc.) that enforce data protection, prevent data leakage, and provide granular visibility and control

Own features end-to-end - from design through delivery, including deployment and monitoring

Influence architecture and roadmap - play a key role in architectural decisions, building toward an efficient distributed zero-trust architecture

Research and develop - drive new initiatives and POCs in zero-trust access domains and browser security

Collaborate cross-functionally - work with security researchers, product, and platform teams across multiple locations to solve complex problems
Requirements:
5+ years of industry experience building high-performance software products, preferably in cybersecurity

Strong networking fundamentals - deep understanding of communication protocols (TCP/IP, TLS, WebSockets, HTTP/2), proxy architectures, and tunneling mechanisms

Proven backend expertise - experience designing and developing high-scale microservices in Node.js / TypeScript / Python / GO / C++

Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes

Hands-on experience with proxy and secure communication - WebSocket implementations, forward/reverse proxies, MITM inspection, and encrypted channel design

Familiarity with encryption and secure communication - TLS/mTLS, certificate management, key exchange protocols, and secure session handling

Experience with client-agent development - building complex, efficient client-side agents with reliable server communication

Cloud platform experience - AWS, GCP, or Azure, with understanding of on-premises and hybrid infrastructure

Strong research and debugging capabilities - ability to dive deep into protocol-level issues, browser internals, and network traces

BS or MS in Computer Science or related engineering discipline

Proactive problem-solver with attention to detail and a team-oriented mindset
This position is open to all candidates.
 
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17/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are on a mission to secure the AI transformation that every company is going through, building a platform that protects organizations as they adopt AI tools at scale. This is your chance to join one of the fastest-growing areas in our company and develop technology that will define how cybersecurity operates in the AI era. You will be part of a multidisciplinary team of backend engineers, endpoint developers, AI researchers, and product experts from Israel and global acquisitions, all working together to deliver cutting-edge, end-to-end security solutions to the worlds largest enterprises.
As a Software Developer on our team, you will work across both backend services and endpoint components, designing scalable systems that connect endpoint-level data collection with cloud-based analysis and enforcement. Youll play a key role in building the agents and services that monitor and control interactions with AI tools, shaping a new category of security products that operate seamlessly across platforms and environments.
Key Responsibilities
Develop and maintain backend services alongside endpoint components for a cross-platform security platform
Design scalable systems that integrate endpoint-collected data with cloud-based processing and enforcement
Build and enhance endpoint agents responsible for monitoring and controlling interactions with AI tools (e.g., coding assistants, web-based AI services)
Implement data pipelines, policy enforcement logic, and secure data handling mechanisms across endpoint and backend layers
Collaborate with AI and product teams to deliver end-to-end solutions
Troubleshoot and resolve complex issues across distributed system and endpoint components.
Requirements:
At least 3 years of strong production experience with Python
Backend service development (FastAPI / MongoDB / Redis)
Cross-platform software development (macOS / Windows / Linux / WSL)
Solid grasp of OS, networking and low-level concepts
Interest in the AI ecosystem - LLMs, AI agents, MCP, and the dev-tools built on top (Copilot, Cursor, Claude Code)
Advantage
Rust experience (a growing part of our stack - desktop agent, MCP proxy)
Frontend (React / TypeScript / Mantine)
Security, endpoint or networking background
Docker & Kubernetes
Nice to have
Reverse-engineering / digging into other apps' internals
Policy engines or data-inspection systems
Browser extensions or IDE plugins.
This position is open to all candidates.
 
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16/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
The Falcon Secure Access (FSA) team is expanding. As a Senior Software Engineer on our team, you will architect and deliver a next-generation secure access platform that converges Zero Trust Network Access with browser-native security.

You'll build the core systems that enable users to seamlessly and securely access internal sites, private applications, and cloud resources directly from the browser - without legacy VPNs or remote desktops - while enforcing real-time protection against zero-day exploits, phishing, data exfiltration, and unauthorized access.

This role sits at the intersection of network engineering and browser security: you'll design and implement advanced proxy communication, secure tunneling, and identity-aware routing - all operating at the browser's core to deliver holistic protection including DLP, insider threat detection, SaaS security, and continuous zero-trust verification.

What You'll Do:

Design and build ZTNA infrastructure - implement zero-trust access policies, secure tunneling, and identity-aware network routing that replaces traditional VPN architectures.

Develop advanced networking solutions - build and optimize proxy communication layers, WebSocket-based transport, and encrypted client-to-server channels that handle millions of concurrent connections.

Architect high-scale backend systems - design distributed microservices for policy enforcement, real-time threat detection, and access control at scale using Node.js / TypeScript.

Implement secure client-server communication - design highly secured agent-to-cloud architectures with certificate pinning, mutual TLS, and encrypted tunneling protocols.

Build browser-native security components - develop browser extensions and agents (Chrome, Edge, Firefox etc.) that enforce data protection, prevent data leakage, and provide granular visibility and control.

Own features end-to-end - from design through delivery, including deployment and monitoring.

Influence architecture and roadmap - play a key role in architectural decisions, building toward an efficient distributed zero-trust architecture.

Research and develop - drive new initiatives and POCs in zero-trust access domains and browser security.

Collaborate cross-functionally - work with security researchers, product, and platform teams across multiple locations to solve complex problems.
Requirements:
What You'll Need:

5+ years of industry experience building high-performance software products, preferably in cybersecurity

Strong networking fundamentals - deep understanding of communication protocols (TCP/IP, TLS, WebSockets, HTTP/2), proxy architectures, and tunneling mechanisms

Proven backend expertise - experience designing and developing high-scale microservices in Node.js / TypeScript / Python / GO / C++

Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes

Hands-on experience with proxy and secure communication - WebSocket implementations, forward/reverse proxies, MITM inspection, and encrypted channel design

Familiarity with encryption and secure communication - TLS/mTLS, certificate management, key exchange protocols, and secure session handling

Experience with client-agent development - building complex, efficient client-side agents with reliable server communication

Cloud platform experience - AWS, GCP, or Azure, with understanding of on-premises and hybrid infrastructure

Strong research and debugging capabilities - ability to dive deep into protocol-level issues, browser internals, and network traces

BS or MS in Computer Science or related engineering discipline

Proactive problem-solver with attention to detail and a team-oriented mindset
This position is open to all candidates.
 
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30/07/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking an experienced Data Protection Lead to join the Cyber Security organization.

This role combines hands-on Data Leakage Prevention (DLP) engineering with Data Security Posture Management (DSPM) to deliver end-to-end data protection across corporate, cloud, and SaaS environments. You will not only define strategy and standards - you will build, configure, tune, and operate the technical controls that enforce them.

You will own the data protection lifecycle from discovery and classification through policy enforcement and incident response. The role requires deep technical proficiency in DLP platforms and DSPM tooling, combined with the ability to collaborate with Security, IT, Engineering, Product, Privacy and GRC teams to reduce data exposure risks and embed strong data governance practices.

Your responsibilities will include:
Lead and own the organizations data protection domain, including strategy, standards, and hands-on technical implementation
Engineer, deploy, and continuously tune DLP policies across endpoints, email, SaaS, network proxies, and cloud platforms - covering both inline and API-based enforcement modes.
Design and implement DSPM solutions to gain continuous visibility into sensitive data posture, data flows, misconfigurations, and exposure risks across cloud and multi-cloud environments.
Drive data discovery initiatives to identify and inventory sensitive data across databases, SaaS applications, endpoints, and cloud storage.
Define and implement data classification frameworks, labeling standards, and data handling policies integrated with DLP and DSPM controls.
Build and maintain DLP detection rules, regular expressions, fingerprinting, and machine learning-based classifiers to minimize false positives and maximize coverage.
Integrate DSPM findings into DLP enforcement workflows to create a closed-loop data protection architecture.
Define and enforce data access governance, including least-privilege principles and monitoring of sensitive data access patterns.
Monitor, triage, and investigate DLP alerts and DSPM-identified risks, collaborating with SOC and Security teams on escalation and remediation.
Conduct risk assessments and identify gaps in data protection controls across systems, pipelines, and business processes.
Support compliance and regulatory requirements (e.g., GDPR, ISO 27001, SOC 2) related to data security and privacy.
Collaborate with Engineering, IT, Product, and GRC teams to embed data security controls into CI/CD pipelines, systems, and workflows.
Maintain documentation, runbooks, and guidelines for DLP operations, DSPM posture management, and data security practices.
Requirements:
We expect you to have:
6+ years of experience in cyber security, with a strong focus on data security, data protection, or information security.
Proven hands-on engineering experience with enterprise DLP platforms - including policy authoring, rule tuning, incident workflow configuration, and platform administration (e.g., Microsoft Purview DLP, Symantec DLP, Forcepoint, or equivalent).
Hands-on experience deploying and operating DSPM tools (e.g., Cyera, Varonis, Rubrik Security Cloud, Normalyze, Securiti, or equivalent) to manage cloud data exposure and classification at scale.
Deep understanding of DLP enforcement mechanisms: endpoint DLP, network DLP, email DLP, and cloud/API-based DLP controls.
Strong experience with data discovery and classification across cloud environments (AWS, Azure, GCP), SaaS platforms, and on-premises systems.
Ability to write and optimize detection logic - regular expressions, data fingerprinting, document fingerprinting, and EDM (Exact Data Matching).
Experience integrating DLP and DSPM tools with SIEM, SOAR, and ticketing systems for alert routing and automated response.
Experience securing data across cloud environments and SaaS platforms, including shadow IT and unmanaged data stores.
This position is open to all candidates.
 
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30/07/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a Software Engineer to join our R&D team. In this role, you'll design and build scalable, high-performance systems that bring together rich backend capabilities and intuitive frontend experiences. You'll be part of a mission-driven team, building innovative technologies that enable security teams to detect, analyze, and respond to threats faster than ever before.





WHAT YOU WILL DO

Develop and own end-to-end features across the entire stack, from backend services to frontend interfaces.
Design and implement distributed backend systems that handle massive volumes of security data in real-time.
Build modern, responsive, and accessible user interfaces using React, TypeScript, Remix, Tailwind, and Shadcn.
Architect and maintain robust APIs and data contracts between the frontend and backend.
Collaborate with product, design, and security experts to deliver impactful user facing features.
Ensure high code quality by writing comprehensive unit, integration, and E2E tests using tools like Vitest, Playwright, and React Testing Library, as well as backend testing tools
Optimize system performance, reliability, and scalability on both ends of the stack.
Take part in critical architectural discussions and influence the technical direction of the platform.
Requirements:
7+ years of professional software engineering experience, with significant hands-on experience in both backend and frontend development.
Deep knowledge of Go or Python for backend services, and React with TypeScript for frontend applications.
Experience designing and working with distributed systems and microservices architecture.
Proven experience with backend testing frameworks such as Pytest or unittest for Python, and Gos testing package along with tools like testify or gomega.
Strong understanding of web fundamentals, API design, system scalability, and data processing.
Experience with performance monitoring and visualization tools like Grafana or Datadog.
A product-driven mindset with an eye for good UX and intuitive design.
Proven experience with testing practices across the stack.
Experience with CI/CD pipelines, Docker, and cloud-native infrastructure.
Strong sense of ownership, collaboration, and accountability.
Excellent communication skills and ability to work cross-functionally.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all our company engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI at our company, covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 5 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.
Youll Own:
Agentic Framework Architecture: Designing and building our companys internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Team Leadership & Mentorship: Leading a squad of 3-4 senior engineers, fostering a culture of technical excellence, and managing end-to-end delivery in a fast-paced environment. You will spend approximately 50% of your time hands-on, architecting core systems and reviewing code, and 50% leading the team, mentoring engineers, and aligning with cross-functional stakeholders.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our companys broader backend ecosystem.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
Youll Impact:
Company-Wide AI Enablement: Empowering every engineering team at our company to build agent-based solutions faster, with higher quality and confidence.
Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents at our company will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.
Requirements:
8+ years of backend engineering experience, with strong system design and platform-building expertise. Tech leadership or team leading experience is an advantage.
Strong analytical and problem-solving skills, with the ability to debug and resolve complex technical issues efficiently.
Hands-on experience with agentic systems and frameworks such as LangChain, LangSmith, ADK, or equivalent agent orchestration platforms.
Strong understanding of AI evaluation methodologies, including agent evaluations, prompt evaluation, regression testing, and quality monitoring.
High proficiency in Python for building production-grade AI frameworks and services.
Familiarity with Java and experience integrating backend platforms or tooling into Java-based systems.
Experience building observability, monitoring, or platform tooling for distributed systems.
Strong analytical skills and the ability to reason about complex, evolving AI-driven systems.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8788410
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v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
10/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
You will be working on core B2B platform that serves tens of thousands of customers, serving hundreds of terabytes in production. Our backend engineers are responsible for the entire data lifecycle - from our endless datatlakes, through choosing the right serving methods and databases, all the way to our api services.

So, what will you be doing all day?

Design and implement scalable backend services and libraries that are reusable and maintainable, serving as the foundation for various applications across the company.
Build and maintain tools that streamline development workflows, enabling product teams to focus on delivering business value.
Define and promote best practices for code quality, performance, and reliability, ensuring healthy production environments and rapid development cycles.
Lead the adoption and integration of AI tools to assist in code generation, testing, documentation, and debugging, thereby accelerating development processes.
Perform proof-of-concepts (POCs) on emerging technologies, including AI agents and platforms, to assess their applicability and benefits to our development ecosystem.
Drive cross-team technical projects aimed at improving infrastructure scalability, reliability, and developer experience.
Analyze and resolve complex production issues, ensuring minimal downtime and optimal performance.
Contribute to the evolution of our system architecture, ensuring it supports rapid development and scaling needs.
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
5+ years of experience in backend development, with a strong focus on infrastructure and platform engineering.
Proficiency in programming languages such as C#, Python, Java, or Go.
Experience building large-scale infrastructure applications or large-scale web applications.
Experience improving stability of large-scale systems using monitoring, solving bottle-necks and making appropriate changes.
High coding standards, working independently and experience leading long term tech tasks involving many teams and stakeholders.
Experience with cloud platforms (e.g., AWS, GCP, Azure) and container orchestration tools like Kubernetes.
Familiarity with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Ansible).
Demonstrated experience in integrating and leveraging AI tools to enhance development workflows.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8775612
סגור
שירות זה פתוח ללקוחות VIP בלבד
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 :)
2 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are a well-funded, early-stage startup looking for a talented and motivated Backend Engineer to join our founding team. The focus of this role is to design, develop, and deploy autonomous AI agents that can automate and optimize complex enterprise workflows. You will work on building intelligent systems capable of decision-making, data extraction, document processing, and other tasks typically requiring human intervention. This is an opportunity to influence the architecture and strategy of AI-driven automation solutions for large-scale enterprise environments.

Your Impact
AI Agent Development

Design and develop autonomous AI agents using best of breed large language models to automate tasks such as document processing, data extraction, and workflow management.

Implement reinforcement learning techniques to enhance decision-making capabilities of AI agents.

AI Integration

Build and integrate APIs that connect AI agents with external systems and enterprise software (ERP, CRM).

Use frameworks like TensorFlow, PyTorch, or Hugging Face to deploy and optimize AI models for real-time processing.

Data Processing and Pipelines

Design and manage data pipelines to process and analyze large volumes of documents and unstructured data efficiently.

Optimize data handling to improve speed and accuracy of AI agents.

Security and Compliance

Implement authentication and authorization mechanisms to secure AI-driven systems.

Ensure compliance with data privacy standards (e.g., GDPR, HIPAA) and adopt best practices for secure data handling.

Cloud Infrastructure and Scalability

Deploy AI agents on cloud platforms (AWS, GCP, or Azure) ensuring scalability and reliability.

Leverage containerization (Docker, Kubernetes) for efficient deployment and management.

Testing and Optimization

Develop and execute unit, integration, and performance tests for AI-driven systems.

Continuously monitor and optimize system performance for speed, accuracy, and cost-efficiency.

Collaboration

Work closely with AI researchers, front end engineers, and product teams to align AI agent capabilities with business requirements.

Participate in code reviews, design discussions, and architecture planning to drive innovation.
Requirements:
5+ years of experience in software engineering with a focus on AI-driven or autonomous systems.

Proven track record of deploying AI models or agents in production environments.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8793042
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