דרושים » ניהול ביניים » Principal Software Engineer, Neo4j&Graph Databases(CIEM)

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05/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an experienced Backend / Graph Database Engineer with experience in Neo4j to join our team.
You will be part of building a large-scale cloud security (CIEM) platform for enterprise customers, where graph-based modeling and computation are at the core of how we analyze identities, permissions, and access paths.
This role combines strong backend engineering with advanced graph thinking - transforming traditional compute-heavy permission analysis into efficient, scalable graph-based solutions.
Your Impact
Take part in the development of a large and complex cloud security (CIEM) platform for enterprise organizations
Design and implement graph-based models to represent identities, permissions, roles, and resource relationships
Build scalable services using Neo4j for real-time and batch graph processing
Optimize complex Cypher queries for performance at scale
Write clean, testable, readable, and maintainable code that performs well for thousands of customers
Design systems that meet high standards of scalability, reliability, and security
Collaborate across teams to define and deliver graph-driven security features.
Requirements:
Your Experience
5+ years of backend software engineering experience
Hands-on experience with Neo4j Graph database
Experience with building scalable, distributed systems (microservices architecture)
Strong problem-solving skills and the ability to quickly learn new domains
Team player with excellent communication skills
Computer Science degree or equivalent practical experience
Advantage
Strong Java experience (Spring Boot preferred)
Experience with working with, or building for GCP
Experience with IAM for managing identities access and permissions modeling.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an experienced Backend / Graph Database Engineer with experience in Neo4j to join our team.
You will be part of building a large-scale cloud security (CIEM) platform for enterprise customers, where graph-based modeling and computation are at the core of how we analyze identities, permissions, and access paths.
This role combines strong backend engineering with advanced graph thinking - transforming traditional compute-heavy permission analysis into efficient, scalable graph-based solutions.
Your Impact
Take part in the development of a large and complex cloud security (CIEM) platform for enterprise organizations
Design and implement graph-based models to represent identities, permissions, roles, and resource relationships
Build scalable services using Neo4j for real-time and batch graph processing
Optimize complex Cypher queries for performance at scale
Write clean, testable, readable, and maintainable code that performs well for thousands of customers
Design systems that meet high standards of scalability, reliability, and security
Collaborate across teams to define and deliver graph-driven security features.
Requirements:
Your Experience
5+ years of backend software engineering experience
Hands-on experience with Neo4j Graph database
Experience with building scalable, distributed systems (microservices architecture)
Strong problem-solving skills and the ability to quickly learn new domains
Team player with excellent communication skills
Computer Science degree or equivalent practical experience
Advantage
Strong Java experience (Spring Boot preferred)
Experience with working with, or building for GCP
Experience with IAM for managing identities access and permissions modeling.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking an experienced and talented backend principal software engineer to work with Java in a Spring Boot framework and a microservices architecture. You will face challenges in algorithmics, architecture, and scalability, requiring you to master new technologies and become productive in a short time. You will work with cutting-edge technologies bound to become the next standards in the security industry.
More on CIEM see here(opens in new window)(opens in new window)
Your Impact
Take part in the development of a large and complex cloud security solution for large organizations.
Master cloud security to develop the most advanced cloud security solution in the market.
Write clean, testable, readable, scalable and maintainable Java code that scales and performs well for thousands of customers.
Develop using the most advanced Java technologies to date.
Design your features in an advanced architecture model built to meet the scalability requirements by our large customers.
Requirements:
Your experience:
5+ years experience in building complex, high scale SaaS solutions.
Experience with working with, or building for any of the public cloud providers with - AWS, Azure, GCP and OCI.
Hands-on experience with relational and non-relational databases.
Flexible and passionate to learn new domains.
Team player, collaborative and with high communication skills.
Computer science or an equivalent degree or equivalent military experience.
Nice to have:
Experience with Java using Spring framework.
Experience with working with, or building for GCP.
Experience with IAM for managing identities access and permissions modeling.
Experience with Neo4j graph database management system.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a seasoned and accomplished Software Engineer to join the Identity Security organization. Identity is the new perimeter, being the leading attack vector in modern breaches. You will be part of the Identities Team, a group of talented engineers dedicated to solving the complex problem of securing identities across hybrid and SaaS landscapes.
Key Responsibilities
Drive Strategic Vision: Contribute to and execute the long-term roadmap for our Identity solutions, ensuring our tech stack evolves alongside industry best practices and global business goals.
Lead Innovation: Research and develop cutting-edge technologies to solve the "Identity Perimeter" problem, turning complex security research into tangible product features.
Architect Scalable Solutions: Design and implement robust, secure architectures capable of managing identities across fragmented SaaS and on-premise ecosystems at enterprise scale.
Foster a Culture of Excellence: Engage in a high-caliber engineering environment through mentorship, collaborative code reviews, and a shared commitment to continuous technical growth.
Collaborate Cross-Functionally: Partner with Product, Platform, and DevOps teams to bridge the gap between complex security requirements and seamless user experiences.
Own Your Career Path: Take on high-impact initiatives and leadership opportunities tailored to your experience level, with access to the resources needed to become a subject matter expert in Identity Security.
Requirements:
7+ years of hands-on experience in Software Engineering
Experience with modern backend technologies.
B.Sc. or M.Sc. in Computer Science, Software and Computer Engineering, or equivalent military experience
Experience leveraging AI-assisted development tools (Gemini, Claude) to accelerate the software development lifecycle, including code generation, debugging, and unit test creation
Experience in building and managing distributed cloud-based SaaS applications
Deep understanding of cloud-native technologies like Kubernetes, Docker, Microservices architecture, and Public Cloud (AWS/GCP/Azure)
Experienced with monitoring, profiling and enhancing system performance
Excellent written and verbal communication skills
Preferred Qualifications
Proficiency in Go / Python.
Familiarity with Graph Databases (e.g., Neo4j, Neptune, ArangoDB) is an advantage
Identity Knowledge: Deep understanding of Identity concepts (Users, Groups, Roles, Permissions)
Domain Expertise: Experience in Cybersecurity, specifically in domains like IAM (Identity and Access Management), CIEM (Cloud Infrastructure Entitlement Management), SSPM (SaaS Security Posture Management), or ITDR (Identity threat detection response).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
05/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a seasoned and accomplished Software Engineer to join the Identity Security organization. Identity is the new perimeter, being the leading attack vector in modern breaches. You will be part of the Identities Team, a group of talented engineers dedicated to solving the complex problem of securing identities across hybrid and SaaS landscapes.
Key Responsibilities
Drive Strategic Vision: Contribute to and execute the long-term roadmap for our Identity solutions, ensuring our tech stack evolves alongside industry best practices and global business goals.
Lead Innovation: Research and develop cutting-edge technologies to solve the "Identity Perimeter" problem, turning complex security research into tangible product features.
Architect Scalable Solutions: Design and implement robust, secure architectures capable of managing identities across fragmented SaaS and on-premise ecosystems at enterprise scale.
Foster a Culture of Excellence: Engage in a high-caliber engineering environment through mentorship, collaborative code reviews, and a shared commitment to continuous technical growth.
Collaborate Cross-Functionally: Partner with Product, Platform, and DevOps teams to bridge the gap between complex security requirements and seamless user experiences.
Own Your Career Path: Take on high-impact initiatives and leadership opportunities tailored to your experience level, with access to the resources needed to become a subject matter expert in Identity Security.
Requirements:
7+ years of hands-on experience in Software Engineering
Experience with modern backend technologies.
B.Sc. or M.Sc. in Computer Science, Software and Computer Engineering, or equivalent military experience
Experience leveraging AI-assisted development tools (Gemini, Claude) to accelerate the software development lifecycle, including code generation, debugging, and unit test creation
Experience in building and managing distributed cloud-based SaaS applications
Deep understanding of cloud-native technologies like Kubernetes, Docker, Microservices architecture, and Public Cloud (AWS/GCP/Azure)
Experienced with monitoring, profiling and enhancing system performance
Excellent written and verbal communication skills
Preferred Qualifications
Proficiency in Go / Python.
Familiarity with Graph Databases (e.g., Neo4j, Neptune, ArangoDB) is an advantage
Identity Knowledge: Deep understanding of Identity concepts (Users, Groups, Roles, Permissions)
Domain Expertise: Experience in Cybersecurity, specifically in domains like IAM (Identity and Access Management), CIEM (Cloud Infrastructure Entitlement Management), SSPM (SaaS Security Posture Management), or ITDR (Identity threat detection response).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo
Job Type: Full Time
As a Senior Software Engineer on the Cortex Platform Application team, you will be a hands-on technical leader responsible for designing, building, and operating critical backend platform services used across Cortex. This role is for an engineer who can combine deep platform/backend expertise with strong ownership, practical execution, and cross-team influence. You will help build scalable and reliable services, guide technical decisions, improve engineering methods, mentor engineers, and raise the quality of how the team designs, ships, documents, tests, and operates its systems. The team owns a broad set of platform capabilities, including areas such as application configuration, dashboards and reporting infrastructure, metrics, multi-tenant and MSSP infrastructure, log forwarding, notifications, auditing, access and permission engines, filtering and querying infrastructure, and other shared application platform domains. We are looking for someone who is not only strong technically, but also enjoys joining a high-performing team, taking ownership from within, and helping turn strong execution into repeatable engineering practice. A successful candidate will quickly become a trusted part of the team by shipping meaningful work, learning the team's domains, and helping others move faster. Over time, this person will help the team increase delivery capacity while also improving how work is designed, documented, tested, operated, and shared across the organization. The right person will not act as an external advisor or abstract architect. They will join the team's day-to-day work, earn trust through execution, and help create organized technical influence from inside the team.
Key Responsibilities
Design, build, and operate scalable, reliable, and secure backend services for the Cortex Platform.
Act as a hands-on technical leader, writing and reviewing production code for critical platform services.
Lead technical design for complex backend and platform domains, balancing long-term architecture with practical delivery.
Own and improve core platform capabilities used by internal engineering teams and Cortex customers.
Drive operational excellence, including observability, monitoring, alerting, incident response, reliability, and participation in on-call.
Improve engineering methods around documentation, testing, design reviews, ownership models, and production readiness.
Mentor senior, mid-level, and junior engineers through design guidance, code reviews, production work, and day-to-day collaboration.
Collaborate closely with product managers, architects, security experts, QA, DevOps, and other engineering teams.
Help internal customers use platform capabilities correctly by creating clarity, alignment, and practical technical guidance.
Identify gaps in systems, processes, and ownership, and lead improvements without adding unnecessary process or friction.
Contribute to a calm, practical, low-ego engineering culture focused on ownership, execution, and continuous improvement.
Requirements:
5+ years of professional experience in backend/platform software development.
Strong hands-on experience with backend development using languages such as Go, Javascript, C++, C#, Ruby, Python, or similar.
Proven experience designing, building, and operating large-scale distributed systems in production.
Strong understanding of software architecture, data modeling, APIs, reliability, observability, and production operations.
Experience working in cloud-based environments.
Ability to lead technical decisions while staying close to the code and implementation details.
Strong ownership mindset, including accountability for production behavior, quality, and long-term maintainability.
Experience mentoring engineers and raising technical standards within a team.
Strong communication skills and ability to influence across teams without relying on authority.
Practical, collaborative, low-ego working style.
This position is open to all candidates.
 
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
09/08/2026
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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הגשת מועמדותהגש מועמדות
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
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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10/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Principal Software Architect
About the Role:
This is a rare, high-leverage role at the intersection of deep technical craft and strategic platform thinking. As our Principal Software Architect, you will own the technical vision for our foundational infrastructure and shape how engineering works across every team in R&D.
You won't be embedded in a single product team - you'll operate across the entire R&D organization, tackling the hardest architectural challenges: data modeling at scale, integration system design, enterprise readiness, performance, and cost efficiency. You'll report directly to the VP of R&D and serve as a technical force-multiplier for our directors and team leads.
If you want to architect systems that serve thousands of engineering organizations - and leave fingerprints on every layer of a fast-scaling SaaS platform - this role is for you.
What You'll Do:
System Design & Scaling:
Architect robust, high-performance, and scalable systems across our entire platform.
Lead the design of resilient, performant, and maintainable core infrastructure as we evolve our SaaS ecosystem.
Design a more robust, performant, and generic integration layer - making our 3rd-party integrations more scalable, easier to build, and higher quality.
Architect high-throughput data and messaging pipelines to support robust, real-time data ingestion and event-driven architectures.
Data Modeling & Analytics:
Redesign and optimize our data modeling layer - including hierarchies, entity types, and relationships - to improve flexibility and scale.
Architect a comprehensive data analytics pipeline capable of handling large-scale data source processing and aggregated metric calculations.
Design effective engineering metrics delivery pipelines - enabling framework-level measurement of developer productivity and platform health.
Enterprise Readiness & Security:
Drive technical planning, tracking, and execution of cross-functional enterprise initiatives including FedRAMP compliance and SSDLC practices.
Design and implement robust security frameworks aligned with enterprise customer requirements.
Reliability & Quality:
Conduct deep-dive root cause analyses on production incidents and drive structural improvements to system reliability.
Design and implement a comprehensive end-to-end load and performance testing ecosystem.
FinOps & Cost Architecture:
Analyze cloud infrastructure spend and identify architectural changes that optimize cost without compromising performance.
Challenge existing storage and infrastructure decisions - asking the right questions about where data lives, why, and at what cost.
Technology Strategy & Mentorship:
Periodically review and recommend technologies, SDKs, and platforms to support our evolving architectural standards.
Mentor and uplevel technical leads across R&D teams, raising the bar for engineering quality and architectural thinking.
Push for the adoption of AI-SDLC practices within R&D to improve engineering velocity.
Participate in senior technical hiring to help us attract world-class engineers.
דרישות:
Experience: 10+ years of software engineering experience, including at least 5 years in architect / staff / principal roles.
Enterprise SaaS track record: Proven experience architecting and scaling enterprise-grade, multi-tenant B2B cloud SaaS services.
Polyglot engineering: Deep software development experience across multiple languages - strong proficiency in Node.js/TypeScript, Go, Python, and React.
Data & streaming ecosystems: Extensive experience with diverse database systems (SQL and NoSQL) and event-driven / message-streaming architectures (Kafka, Kinesis, SQS, etc.).
Cloud & platform engineering: Strong background in multi-cloud environments (AWS, GCP, Azure), modern DevOps practices, and Platform Engineering principles.
AI Native: Deeply comfortable building with AI-first principles, with a mindset for leveraging AI המשרה מיועדת לנשים ולגברים כאחד.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Are you passionate about harnessing cutting-edge data science techniques to protect the world from cyber threats? Do you thrive in the dynamic world of cybersecurity? If so, we invite you to join our innovative and forward-thinking team at Palo Alto Networks, where you'll have the opportunity to shape the future of cybersecurity and impact millions of customers.
As a Senior Principal Data Scientist, you will be a technical leader and hands-on architect, bridging the worlds of advanced data science, robust software engineering, and next-generation AI. You will bring a deep, diverse background in classical machine learning algorithms alongside cutting-edge LLM agent architectures to build resilient, production-grade defense techniques against cyber-villains. Operating as a premier technical authority, you will drive the vision, design, and large-scale development of our groundbreaking, Agentix LLM-based security solutions that block attacks even before they begin.
Key Responsibilities
Serve as a hands-on technical compass for a diverse, elite product-oriented research team, pioneering state-of-the-art technologies and setting the engineering standards for AI/ML excellence across the organization.
Design, implement, and optimize robust Agentic LLM solutions and multi-agent workflows engineered to autonomously counter modern, sophisticated cyber threats.
Oversee and actively contribute to the entire end-to-end lifecycle, moving seamlessly from ambiguous research concepts and POCs to high-throughput, low-latency production deployments.
Build and enforce comprehensive frameworks for continuous real-time monitoring, evaluation, and guardrails to track model drift, latency, and agent behavior in production environments.
Decompose highly complex, multi-layered algorithmic problems into actionable technical roadmaps and strategic insights for both deeply technical engineers and executive business stakeholders.
Requirements:
A proven track record as an experienced architect who leads by example, capable of writing core, production-critical code, conducting rigorous architecture reviews, and mentoring senior technical staff.
At least 3 years of hands-on experience building, scaling, and optimizing Agentic LLM systems. This includes deep familiarity with common frameworks (e.g., LangChain, LangGraph, AutoGen) and a sophisticated understanding of tool-use optimization, memory management, and deterministic behavioral alignment.
At least 5 additional years of deep experience in data science, with expert-level command of classical machine learning algorithms applied to complex, real-world data landscapes.
At least 5 additional years of experience as a software engineer with high proficiency in Python and querying languages. You possess deep knowledge of software design patterns, concurrency, CI/CD pipelines, and writing clean, scalable, maintainable code.
BSc in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Mathematics, or a related field from a top university. An advanced degree is highly preferred.
Demonstrated expertise in deploying and operating ML/LLM workloads at enterprise scale. You have a comprehensive understanding of containerization (Docker, Kubernetes), high-throughput data pipelines, and proactive system monitoring.
Exceptional ability to run end-to-end research-to-production initiatives, showcasing an analytical mindset capable of translating raw data into highly accurate, real-time defensive actions.
Extensive, hands-on experience utilizing, fine-tuning, and optimizing open-source generative AI frameworks and libraries (e.g., Hugging Face, PyTorch, vLLM, DeepSpeed) to build and deploy high-performance models.
Proven experience architecting data solutions and working within major cloud and big data ecosystems (e.g., GCP, AWS, Snowflake) to ingest, process, and analyze high-velocity, petabyte-scale datasets.
This position is open to all candidates.
 
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06/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Principal MLOps Engineer with a deep focus on ML Platforms and Infrastructure to join our Data & AI group at Cortex Research. Our team is responsible for designing, building, and scaling the foundational MLOps and LLMOps platforms that power both our Data Scientists and Security Researchers. You will architect the high-performance core infrastructure that enables these roles to build, train, and deploy advanced AI systems-ranging from optimized Small Language Models (SLMs) to complex agentic workflows and RAG systems. If you are passionate about building scalable compute platforms and automating the full ML lifecycle to solve complex data and security challenges, we want to hear from you.
Key Responsibilities
Scale Distributed Training: Design and optimize infrastructure for training and fine-tuning LLMs and SLMs, leveraging distributed GPU workloads, efficient clustering, and compute optimization.
Automate the ML Lifecycle: Architect robust, automated pipelines for continuous training (CT) and deployment (CD) of models, ensuring a seamless flow from raw data collection to production environments.
Build Model Infrastructure: Own the serving architecture for LLMs/SLMs, balancing latency, throughput, and GPU utilization under production traffic.
Implement Advanced Monitoring: Establish comprehensive observability systems to monitor live model performance, data drift, and computational metrics, feeding insights back into the automated training loops for continuous improvement.
Collaborative Architecture: Partner closely with data scientists and security researchers to productize complex model architectures and streamline their workflows, while collaborating with our DevOps team to integrate with core cloud infrastructure.
Requirements:
Core Engineering: 4+ years experience as a Senior ML Engineer, MLOps Engineer, or Backend Platform Engineer (Hands-On) working with cloud environments.
Model Lifecycle Engineering: Hands-on experience managing the technical lifecycle of diverse model architectures, spanning classic ML, LLMs/SLMs, and agentic/RAG systems. This includes engineering scalable data preparation and processing pipelines as well as implementing infrastructure for model training, fine-tuning, optimization, and high-throughput production serving.
Distributed Training & Compute: Strong foundational knowledge of Deep Learning concepts (neural network architectures, training dynamics, optimization techniques) paired with proven experience setting up and optimizing distributed training workloads across multiple GPUs (using PyTorch, DeepSpeed, Megatron-LM, or cloud-native training infrastructure).
Cloud & Infrastructure Architecture: Strong infrastructure knowledge within a major cloud provider ecosystem (GCP, AWS, or Azure), specifically leveraging managed AI platforms and services.
Python Expertise: Expert-level Python skills focused on ML infrastructure, pipelines, and automation frameworks.
CI/CD Integration: Experience with modern CI/CD patterns (such as GitLab CI or GitHub Actions) for automating software and model delivery loops.
AI Tooling & Development: Proficient in leveraging day-to-day AI tools and ecosystems (e.g., Claude, Gemini, MCPs, custom skills, and markdown formatting) to generate, review, and test code dynamically within your development cycle.
Preferred Qualifications
Strong GCP ecosystem experience.
Background in data science or deep learning workflows.
Cybersecurity domain knowledge.
This position is open to all candidates.
 
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