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לפני 19 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are building the AI code review and governance platform for the worlds most ambitious engineering organizations. Our customers are shipping AI-generated code at a pace that breaks every assumption built into traditional code review, static analysis, and SDLC tooling. They turn to our company to keep quality, security, and governance from becoming the bottleneck.
Forward Deployed Engineering sits at the frontier of that work. We embed with our companys most strategic enterprise customers, running on-prem, air-gapped, and heavily regulated environments, and own the technical arc from discovery through production.
Your day might include designing a solution architecture for a high-impact agentic use case, debugging a production routing issue deep in our codebase, deploying a new MCP server with a customer team, or aligning with a CTO on a rollout plan; all in service of outstanding outcomes and rapid time to value for the organizations we work with.
This is a founding function. The first FDEs will define how our company conducts field engineering: the standards, playbooks, and technical bar. The work is hands-on, commercially scoped, and high-leverage: youll partner closely with Product, Research, Platform, Security, and GTM, and what you learn in production directly shapes what the core team ships next. If you thrive under ambiguity, make fast and sound decisions when the stakes are high, and get energy from closing the gap between what customers hit in production and what we build next, this role is for you.
In This Role You Will
Own technical delivery across multiple deployments from first prototype to stable production, including core engineering work that unblocks strategic accounts.
Lead deep technical diagnosis and remediation in our codebase and production environments, model routing and gateway behavior, large-PR scaling, multi-pass behavior, performance and reliability issues.
Build customer-specific extensions (MCP servers, agent skills, platform integrations) that deliver immediate value and become durable product capability; upstream them into the main roadmap where appropriate.
Embed closely with customer engineering teams: serve as their senior technical counterpart for hands-on debugging, architecture reviews, and joint implementation.
Scope work, sequence delivery, and remove blockers early; make deliberate trade-offs between scope, speed, and quality to protect delivery timelines.
Partner with Product, Research, and Platform to convert account learnings and eval-driven feedback into roadmap items, specs, and prioritized engineering work.
Codify working patterns into tools, playbooks, runbooks, and reproducible benchmarks that Support and account teams can operate independently and help scale the field engineering function across the organization.
Keep teams moving through clarity and follow-through; model calm judgment when the stakes are high.
Be a champion for our mission in the field: every deployment is an opportunity to demonstrate it.
דרישות:
You Might Thrive in This Role If You
Bring 5+ years of experience in a technical, customer-facing role as a Forward Deployed Engineer, a Software Engineer with consulting exposure, or a founder with hands-on deployment experience.
Experience building or consuming MCP servers or agent frameworks.
Have scoped and delivered complex systems in fast-moving or ambiguous environments you know how to sequence work and protect delivery without slowing everything down.
Write and review production-quality code in Python, TypeScript or comparable stacks; you contribute directly in the code when it matters.
Have production experience with LLMs: advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale and you actively stay current with the latest capabilities and implementation patterns.
Have debugged hard problems in live distributed systems under time pressure and can write a postmortem that actually prevents recurren המשרה מיועדת לנשים ולגברים כאחד.
 
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10/06/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Senior Software Development Engineer who leads through technical depth and sound judgment. Someone who owns team-level architecture, provides system-wide design guidance, and brings perspective on both current and future technology choices. You take on customer problems where the technological strategy is not yet defined, and you drive productive discussions to align teams on the best path forward. You dont just deliver high-quality software yourself - you set the standard that others follow. You actively mentor multiple engineers, drive adoption of engineering best practices, and ensure your team has strong operational foundations. You make the team permanently stronger, not dependent on your presence. When the right solution isnt technical - when its a process change, a culture shift, or a staffing decision - you recognize that and act accordingly.

Key job responsibilities
- Own team architecture of personalized recommendation system operating in our scale.
- Lead the design and delivery of cross-teams projects end-to-end, with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define technical roadmap and experiences based on data.
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI.
- Define and drive measurement strategies including analytics events and experiment configurations to track business and technical metrics.
- Create clarity from ambiguity and make sound technical decisions in a problem space where established patterns don't apply.
- Drive adoption of engineering best practices through exemplary personal coding practices.
- Proactively simplify existing systems and resolve endemic, root-cause problems.
Requirements:
Basic Qualifications
- Bachelors degree in Computer Science, Engineering, Mathematics, or a related field
- 10+ years of non-internship professional software development experience.
- 3+ years of experience leading the design and architecture of large-scale distributed systems.
- Experience owning and driving technical strategy and architecture decisions for a team or system.
- Experience leading multi-engineer projects from design through delivery, including decomposing complex problems and coordinating across teams.
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, deployment, and operations.
- Experience mentoring and coaching other software engineers.

Preferred Qualifications
- Masters degree or equivalent.
- Experience with experimentation platforms (A/B testing), analytics instrumentation, and metrics-driven iteration at large scale.
- Experience with AI/ML system integration, model serving infrastructure, or generative AI applications in production.
- Experience with end-to-end SDLC ownership including establishing operational excellence practices: monitoring/metrics, alarming, runbooks, incident response, and COE/retrospective processes.
- Track record of simplifying complex systems, resolving systemic technical debt, and improving engineering processes.
- Experience influencing technical decisions across organizational boundaries without direct authority.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Lead the team building the agentic infrastructure powering Klaudia - our AI SRE. You'll own the architecture, set the technical direction, and push experimental ideas into production.

This isn't a coordination role. You'll be a technical leader who builds alongside your team - setting the bar for architecture quality, driving experimental bets, and turning research into production-grade systems.



What will you do?

Own the agentic infrastructure- You're responsible for the architecture of Klaudia's core - the systems that make autonomous investigation, root cause analysis, and self-healing possible at scale.

Build and grow your team- Hire great engineers, mentor them, run meaningful design reviews, and build a culture of high ownership and engineering excellence.

Drive experimental development- Run structured bets - LLM evaluation frameworks, new agent architectures, novel tool-use patterns - and bring the best ones to production.

Stay hands-on You'll design systems, review PRs critically, and write code where it matters. Your technical credibility is the foundation of your leadership.

Shape our AI strategy- Work closely with product and R&D leadership to define what Klaudia becomes next.



Why this role rocks?

Category-defining work- AI SRE is the hottest space in cloud infra. You'll be leading the team that defines what it means - not catching up to anyone.

Real autonomy- You'll set the technical roadmap for Core. No pre-solved problems handed down to you - you decide what gets built and how.

Build something that lasts- Hire and shape a team from an early stage. Your engineering culture decisions here will compound for years.

Serious engineering culture- High bar for craft, strong team around you, and leadership that respects technical depth over process theater.
Requirements:
Proven tech leader- 8+ years of backend engineering experience, including at least 2 years in a tech lead or team lead capacity. You've owned systems end-to-end, not just delivered tickets.

Proven ability to build teams- You've hired engineers you're proud of, mentored people to grow beyond where they thought they could, and created an environment where ownership is the default.

Deep experience with distributed systems- Concurrency, reliability, observability - you design for failure, not around it.

Experience building with AI-assisted tools- (e.g Cursor, Claude Code, etc.) You treat these as serious multipliers, not toys.

Strong communicator- You can hold a design review, align with product leadership, and explain a tricky architecture decision to an engineer in their first week - all with the same clarity.

Comfortable with open-ended problems- You enjoy tackling challenges that don't have a simple one-prompt AI answer - where the path forward requires judgment, not just execution.
This position is open to all candidates.
 
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01/06/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are seeking a Hands-on Architect to design, build, and evolve the core of next-generation AI cybersecurity platform.This is not an ivory-tower role; it is for a builder at heart. You will write code, build functional prototypes, and own critical services from inception to production. This role demands a unique blend of deep, code-level execution with a broad, system-wide architectural vision that spans our entire data, cloud, and AI stack.
Responsibilities:
Rapidly code and build functional proofs of concept (PoCs) and prototypes to explore and validate new architectures, data platforms, data processing frameworks, and GenAI capabilities.
Validate technical feasibility, scalability, and business impact through working software, not just diagrams or documents.
Partner closely with engineering, product and data science teams to translate emerging technologies into production-ready, scalable systems.
Lead architecture design reviews, proactively identify scalability and performance bottlenecks, and embed security principles into the design process from day one.
Serve as a technical leader and mentor, elevating the team's skills through pair programming, in-depth code reviews, and deep-dive sessions on system design and software craftsmanship.
Requirements:
7+ years in a senior technical leadership role (e.g., Principal Architect, Staff/Lead Engineer). Demonstrated experience leading architecture in fast-moving environments, with a strong track record as a hands-on builder delivering production systems.
Proven experience architecting and operating large-scale, distributed, and data-intensive systems, with the ability to reason across end-to-end system flows, dependencies, and trade-offs. Experience in SaaS or cybersecurity domains is a strong advantage.
Deep, hands-on experience with AWS, GCP, or Azure, and strong expertise in Kubernetes and containerized environments. Ability to design for scale while maintaining simplicity, efficiency, and cost awareness.
Strong background in modern data platforms, streaming architectures, and complex event processing, including systems that handle large-scale, real-time data workloads.
Experience designing and building multi-tenant SaaS platforms with strong isolation and scalability characteristics. Familiarity with Bring Your Own Cloud or similar deployment models in enterprise environments.
Hands-on experience integrating GenAI capabilities into production systems, including RAG pipelines, agentic workflows, or LLM-based integrations.
Solid understanding of secure system design, cloud security principles, and enterprise compliance frameworks, with the ability to incorporate security into architectural decisions.
This position is open to all candidates.
 
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3 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
The Customer Engineer serves as the technical bridge between Koi engineering and our company's customer-facing teams, enabling Domain Consultants and support teams to successfully run POVs, deploy Koi, and support customers at Job Description
We are looking for a highly technical and customer-focused Customer Engineer to join the Koi team. This role operates at the intersection of engineering, support, and pre-sales solutions, and is critical to scaling Koi across our company.
As a Customer Engineer, you will sit closely with the Koi engineering team and develop deep expertise in Koi's architecture, capabilities, and roadmap. You will enable Domain Consultants (DCs) to effectively run Proof of Value (POV) engagements, and empower support teams to deliver high-quality service to customers using Koi. In this role, Customer Engineers translate live customer issues into actionable engineering fixes, taking full ownership of the bug-resolution lifecycle and the safe deployment of updates directly to customers.
Key Responsibilities
Act as a technical bridge between Koi engineering and our company customer-facing teams
Own the end-to-end resolution of technical issues, from diagnosing complex bugs to managing their seamless deployment to customer environments.
Develop deep expertise in Koi's product, architecture, and internal systems
Enable Domain Consultants (DCs) to successfully run POVs, including deployment, troubleshooting, and demonstrating value to customers
Support our company support teams in diagnosing and resolving customer issues
Build internal tools and systems that allow DCs and support teams to answer questions and perform initial triage independently
Improve scalability by reducing dependency on engineering for routine support and POV-related issues
Own or lead triage of the most complex and high-impact customer issues
Partner with engineering to identify root causes and drive long-term fixes
Identify recurring friction points in POVs and customer deployments, and work to eliminate them
Contribute to internal documentation, troubleshooting guides, and playbooks
Impact:
Provide the team with seamless technical resolutions to unblock customer issues
Increase success rate and quality of POVs led by Domain Consultants
Improve customer onboarding and time-to-value for Koi
Reduce escalation load on engineering teams
Improve overall customer experience and product reliability.
Requirements:
Education: B.Sc. in Computer Science, Industrial Engineering, Software Engineering, or a related technical discipline (or equivalent practical experience).
Technical Experience: Strong software engineering background with a deep, system-level understanding of software architectures, network, and infrastructure. + For Junior
Domain Expertise: Experience working within the cybersecurity sector or at a cyber-focused technology company is a strong advantage.
Troubleshooting: Proven experience diagnosing, debugging, and resolving complex technical issues within real-world, production customer environments.
Adaptability: Demonstrated ability to quickly master new system architectures and independently debug unfamiliar, legacy, or proprietary codebases.
Cross-Functional Collaboration: Experience partnering closely with pre-sales, field engineering, or customer success teams to support the technical teams and retention lifecycle.
Communication: Exceptional communication and presentation skills in English, with a proven ability to guide and translate technical concepts for both highly technical and semi-technical stakeholders.
Mindset: A strong "builder" mentality, with a track record of developing scalable tools, automation scripts, and repeatable processes rather than relying on one-off fixes.
Preferred Qualification
A foundational background in software engineering, with a practical understanding of software architectures, network, and infrastructure.
This position is open to all candidates.
 
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3 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Senior or Principal Software Engineer in Cortex Cloud, you will contribute to the development and scaling of cloud-native security solutions for enterprise organizations. This role involves working within an established team to evolve a high-traffic product, with a focus on refining architecture, optimizing the technology stack, and maintaining engineering standards.
Your responsibilities include writing reliable code, influencing product direction, and designing distributed systems. You will be expected to make technical decisions that impact the long-term stability and performance of cloud workload protection services.
AI Integration & Engineering Workflow
A core component of our development process is the use of AI. Rather than basic code completion, we integrate AI assistants as functional components of our workflow. Our team utilizes a multi-agent AI system (IDEX/ProDex) that assists across the development lifecycle: from planning and architecture to code analysis and security reviews.
In this role, you will:
Work with AI Tools:Utilize platforms such asGemini, Claude, and Cursorfor tasks beyond code generation, including root-cause analysis, system design reviews, and architectural assessment.
Develop AI-Augmented Workflows:Help refine how AI is integrated into the SDLC, including the orchestration of agents and the development of internal tools that extend AI capabilities across our codebase.
Maintain Quality Standards:While AI assists in increasing velocity, you are responsible for the technical output. This includes critical review of all generated code and ensuring that AI-assisted work aligns with our architectural requirements and security benchmarks.
Interact with Specialized Agents:Coordinate with AI agents (Product, Architecture, Security) that operate on shared context to assist in managing complex engineering tasks.
We are looking for engineers who are interested in leveraging AI as a technical tool to manage complexity and who want to contribute to the practical application of human-AI collaboration in a cloud environment.
Requirements:
Your Experience
Backend Engineering: 5+ years of experience building and maintaining production-grade distributed systems.
Languages: Proficiency in Go (Golang) is a strong advantage. We are open to engineers with deep expertise in other backend languages (Java, Python, Rust, C#, or Node.js) who are willing to transition to a Go-primary stack and have a focus on clean, well-tested code.
Fundamentals: Strong grasp of system design, data structures, and algorithms in high-scale cloud environments.
Standards: Experience with CI/CD, comprehensive testing (unit, integration, E2E), and rigorous code reviews.
Cloud: Proficiency in AWS, GCP, or Azure, including cloud-native services.
Reliability: Experience with observability (monitoring, logging, tracing) and system profiling.
Education: B.Sc. or M.Sc. in Computer Science, Software Engineering, or equivalent technical/military experience.
Advantages
Advanced Go: Deep experience with concurrency and memory management patterns.
Distributed SaaS: Background in managing multi-tenant, cloud-based SaaS at scale.
Cybersecurity: Familiarity with threat detection or cloud security infrastructure.
AI Systems: Interest in agentic workflows or prompt engineering in production.
This position is open to all candidates.
 
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4 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Senior or Principal Software Engineer in Cortex Cloud, you will contribute to the development and scaling of cloud-native security solutions for enterprise organizations. This role involves working within an established team to evolve a high-traffic product, with a focus on refining architecture, optimizing the technology stack, and maintaining engineering standards.
Your responsibilities include writing reliable code, influencing product direction, and designing distributed systems. You will be expected to make technical decisions that impact the long-term stability and performance of cloud workload protection services.
AI Integration & Engineering Workflow
A core component of our development process is the use of AI. Rather than basic code completion, we integrate AI assistants as functional components of our workflow. Our team utilizes a multi-agent AI system (IDEX/ProDex) that assists across the development lifecycle: from planning and architecture to code analysis and security reviews.
In this role, you will:
Work with AI Tools: Utilize platforms such as Gemini, Claude, and Cursor for tasks beyond code generation, including root-cause analysis, system design reviews, and architectural assessment.
Develop AI-Augmented Workflows: Help refine how AI is integrated into the SDLC, including the orchestration of agents and the development of internal tools that extend AI capabilities across our codebase.
Maintain Quality Standards: While AI assists in increasing velocity, you are responsible for the technical output. This includes critical review of all generated code and ensuring that AI-assisted work aligns with our architectural requirements and security benchmarks.
Interact with Specialized Agents: Coordinate with AI agents (Product, Architecture, Security) that operate on shared context to assist in managing complex engineering tasks.
We are looking for engineers who are interested in leveraging AI as a technical tool to manage complexity and who want to contribute to the practical application of human-AI collaboration in a cloud environment.
Requirements:
Your Experience
Backend Engineering: 5+ years of experience building and maintaining production-grade distributed systems.
Languages: Proficiency in Go (Golang) is a strong advantage. We are open to engineers with deep expertise in other backend languages (Java, Python, Rust, C#, or Node.js) who are willing to transition to a Go-primary stack and have a focus on clean, well-tested code.
Fundamentals: Strong grasp of system design, data structures, and algorithms in high-scale cloud environments.
Standards: Experience with CI/CD, comprehensive testing (unit, integration, E2E), and rigorous code reviews.
Cloud: Proficiency in AWS, GCP, or Azure, including cloud-native services.
Reliability: Experience with observability (monitoring, logging, tracing) and system profiling.
Education: B.Sc. or M.Sc. in Computer Science, Software Engineering, or equivalent technical/military experience.
Advantages
Advanced Go: Deep experience with concurrency and memory management patterns.
Distributed SaaS: Background in managing multi-tenant, cloud-based SaaS at scale.
Cybersecurity: Familiarity with threat detection or cloud security infrastructure.
AI Systems: Interest in agentic workflows or prompt engineering in production.
This position is open to all candidates.
 
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11/06/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Appdome’s mission is to protect every mobile app in the world and the people who use mobile apps in their lives and at work. Appdome provides mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform, delivering rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events™ threat-aware UI/UX control, ThreatScope™ Mobile XDR, and Certified Secure™ DevSecOps Certification in one integrated system. With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from inside mobile DevOps and CI/CD pipeline. Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and mobile businesses globally. Today, Appdome's customers use their platform to secure over 50,000+ mobile apps with protection of over 1B mobile end users projected.
We are seeking a driven and results-oriented Frontend Developer (Angular) to join our team. In this role, you will focus on acquiring new customers, building trusted relationships, and driving revenue growth by understanding prospects’ mobile business and security objectives and aligning them with our solutions. The ideal candidate is a proactive communicator with strong interpersonal skills and a solid technical foundation. You excel at managing complex enterprise sales cycles and thrive in a dynamic environment that demands collaboration across teams and effective engagement with stakeholders via phone, email, and in-person interactions. ?About the Role
Join the Application And Enablement group and evolve our Angular-based console and internal design system This is a production system used by enterprise customers, and your work will ship to production frequently. You’ll ship new components, keep the system up to date, and improve the platform’s performance in a complex, fast-moving product.
?What you’ll do
* Build and ship Angular + TypeScript features with RxJS at their core.
* Design, implement, and document reusable Design System components using Tailwind Storybook , and PrimeNG
* Partner with Backend and Data engineers to deliver responsive, secure UIs for data-heavy workflows.
* Drive performance improvements across the platform.
* Own code health: testing, refactoring, and incremental migration as the product grows.
Requirements:
Must-haves
* Bachelor’s degree in Computer Science or equivalent. 2+ years as a frontend engineer with Angular and TypeScript Deep understanding of Angular and how it works end-to-end, plus strong RxJS fundamentals.
* Ability to write performant, high-quality code in a complex codebase.
*  Experience building component libraries/design systems (e.g., Tailwind + Storybook
* Solid testing habits and a quality-first mindset.
?Nice-to-haves
*  PrimeNG experience; Nx monorepos.
*  Familiarity with modern Angular patterns and performance profiling.
*  Web security awareness (e.g., OWASP MAS context).
*  CI/CD experience and feature-flag driven development.
?Hiring signals we value
* A portfolio, Storybook, or GitHub showing reusable component APIs and design-system work.
* Brief write-ups or PRs explaining architecture decisions you’ve made in Angular apps.
*  Evidence of performance-minded development and thoughtful testing/documentation.
Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
As a Senior AI Engineer in the global CTO group, you will play a central role in building the next generation of AI-powered security capabilities across our product portfolio. This role is focused on rapid prototyping, experimentation, and innovation, turning emerging ideas into working product features that can scale across multiple products and technology stacks.

You will design and build AI-driven systems end-to-end, from agent-based workflows and model integrations to backend services, data pipelines, and product-facing capabilities. You will work closely with product, engineering, and research teams across the company to explore new use cases, validate ideas quickly, and bring impactful AI features into production.

This role is ideal for an experienced AI engineer who enjoys moving fast, working across boundaries, and building real production systems, not just experiments. Your work will directly influence how AI is embedded across our platforms and how customers experience secure AI at enterprise scale.
Requirements:
What You Will Need:
8 or more years of professional experience in software engineering, with significant hands-on experience in AI engineering or applied machine learning.
Strong expertise in building AI-powered systems, including LLM-based applications, agents, and orchestration workflows.
Proven experience integrating and operating AI and ML models in production environments.
Proficiency in multiple programming languages, including Python and at least one of the following: .NET, Go, or similar backend languages.
Experience working across diverse technology stacks and product architectures.
Solid understanding of backend system design, APIs, and distributed systems.
Strong experience with databases, including data modeling, performance considerations, and working with both relational and non-relational systems.
Practical experience with DevOps practices, including CI/CD pipelines, containerization, and cloud-based deployment.
Comfort working in cloud environments and modern infrastructure platforms.
Ability to rapidly prototype, iterate, and evolve ideas into production-ready features.
Strong ownership mindset, curiosity, and ability to collaborate across teams.

Nice to Have:
Experience designing and building AI agents for real-world workflows.
Hands-on experience training, fine-tuning, or evaluating machine learning models.
Familiarity with MLOps practices and model lifecycle management.
Experience working in security, cloud platforms, or large-scale SaaS products.
Ability to communicate complex AI concepts clearly to both technical and non-technical audiences.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8676774
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דיווח על תוכן לא הולם או מפלה
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
25/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Full Stack Engineer who enjoys building end-to-end systems in fast-moving environments. Youll work across backend services, frontend applications, and AI-integrated workflows to shape the foundation of our companys AI-powered platform.
The AI Application Foundation team is responsible for the core platform powering our companys next-generation AI applications and agentic systems. We build the infrastructure, developer tooling, orchestration layers, and user-facing experiences that transform advanced AI capabilities into production-grade cybersecurity products.
If you enjoy owning features from architecture to production, care deeply about developer and user experience, and want to work on meaningful AI infrastructure at scale- this role is for you.
Responsibilities
Design and build full-stack applications powering AI-driven cybersecurity workflows
Develop scalable backend services, APIs, and orchestration layers for applications and agent systems
Build intuitive frontend experiences for complex workflows, data exploration, and operational tooling
Collaborate with AI and platform engineers to integrate LLMs, retrieval systems, and agent capabilities into production applications
Own features end-to-end, from technical design and implementation to deployment, monitoring, and ongoing improvement
Improve platform reliability, observability, and performance across frontend and backend systems
Contribute to engineering standards, architecture reviews, testing practices, and CI/CD workflows
Work closely with Product and Design teams to rapidly iterate on new AI product experiences.
Requirements:
5+ years of experience as a Full Stack Engineer in production environments
Strong backend development experience with Python, Node.js, Go, or similar modern backend technologies
Familiar with frontend experience with React, TypeScript, and modern frontend frameworks
Experience designing and consuming REST APIs, event-driven systems, and distributed services
Solid understanding of cloud-native architectures and scalable web applications
Experience working with or integrating AI systems, LLMs, or agent-based architectures.
Strong product mindset and ability to work closely with cross-functional teams
Excellent debugging, problem-solving, and communication skills
Nice to Have
Experience with agent orchestration, context management, or retrieval-augmented architectures
Experience with Kubernetes, Docker, Terraform, or modern DevOps practices
Background in cybersecurity, data-intensive systems, or highly regulated 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
8664622
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דיווח על תוכן לא הולם או מפלה
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
3 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a driven, technically curious Staff Backend Developer to join a cutting-edge team focused on Agentless Scanning within Cortex Cloud, our company's next-generation cloud security platform. Based in our Tel Aviv (TLV) office, you will be at the forefront of cloud security innovation. Our team's mission is to help Cortex Cloud customers discover, understand, and fix security vulnerabilities in their workloads across all major cloud providers. This role is ideal for a proactive engineer with a strong "can-do" attitude, a passion for solving complex technical problems, and a desire to grow rapidly alongside experienced mentors. If you love digging into backend systems and want to see your code directly impact global enterprise customers, we want to hear from you!
Your Impact
Hands-on Backend Development: Contribute to the design, development, testing, and deployment of features and core components within the Agentless domain.
Feature Ownership: Collaborate closely with senior team members and partners across Cortex Cloud to deliver high-quality features from inception to production.
Customer-Centric Problem Solving: Help build robust solutions that address the day-to-day security challenges faced by our customers.
Continuous Learning & Collaboration: Actively participate in team-wide engineering practices, including code reviews, technical discussions, and agile processes, to continuously elevate your skills.
Requirements:
Backend Engineering: 2+ years of professional experience contributing to production-grade backend services. You should be comfortable navigating existing codebases and delivering features independently.
Languages: Experience in at least one major backend language (Go, Java, Python, Rust, C#, or Node.js). While Go (Golang) is our primary stack, we value polyglot engineers who are excited to master Go and write idiomatic, clean code.
Engineering Fundamentals: Solid understanding of data structures, algorithms, and the basics of RESTful API design. You should have an understanding of distributed systems design.
Quality Standards: A "test-first" mindset. Experience writing unit and integration tests and a commitment to participating in (and learning from) rigorous code reviews.
Cloud & Infrastructure: Familiarity with at least one major cloud provider (AWS, GCP, or Azure).
Education: B.Sc. in Computer Science, Software Engineering, or equivalent technical/military experience.
Advantages
Reliability & Debugging: Experience using observability tools (e.g., Datadog, Prometheus, or ELK stack) to troubleshoot issues in a production environment.
Go Fundamentals: Experience with Gos concurrency model (goroutines/channels) or a strong desire to dive deep into the language.
SaaS Curiosity: Experience working on a multi-tenant product or a keen interest in distributed systems architecture.
AI Interest: Hands-on experimentation with LLMs or an interest in how AI agents are integrated into backend 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
8705440
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