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03/05/2026
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17/06/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a Senior Backend Engineer - Data Platform to join our expanding team and play a crucial role in designing, building, and maintaining robust and scalable data pipelines and infrastructure. In this role, you will directly enable data-driven decision-making and support the development and deployment of AI/ML products that power our Health.

Youll collaborate closely with engineering, product, and data science teams to ensure our data systems are high-quality, resilient, and scalable as we grow. As a Senior Backend Engineer on our Data Platform team, you will drive efforts to deliver reliable, efficient, and consistent data services across the organization. You will also help enable the rapid development and deployment of advanced features, insights, and AI-driven capabilities that improve outcomes for clinicians and clients.

How will you contribute?
Design, implement, and maintain scalable and reliable data pipelines and backend systems supporting both operational and analytical needs, with a focus on ML/AI product enablement.
Ensure data processing is optimized for speed, efficiency, and fault tolerance, enabling seamless integration with AI/ML workflows and reliable performance across all our Health products.
Monitor and improve uptime, reliability, and observability of our data infrastructure and pipelines.
Build and maintain systems to ensure data quality, consistency, and usability across the organization, enabling advanced analytics and AI solutions.
Work closely with product and engineering teams to deliver new features rapidly and with a high standard of technical excellence.
Drive innovation in how we build, measure, and optimize data features, backend services, and AI product integrations.
Participate in on-call rotations with a service-oriented approach and fast responsiveness.
Lead scalability efforts to support increasing data volumes, expanding AI/ML initiatives, and new product launches.
דרישות:
Who are you?
You are a seasoned backend or data engineer with experience working on production-grade ML/AI-powered products. You thrive in fast-paced, high-ownership environments and are passionate about building scalable and reliable systems. You understand the unique requirements of delivering AI/ML features in production, and you are comfortable working with modern technologies in the LLM/RAG ecosystem.
You pride yourself on delivering high-quality solutions quickly, without sacrificing design or reliability. Youre known for your responsiveness, collaborative spirit, and service-oriented mindset-especially when youre on-call and the stakes are high.

At least 5 years of experience with Python in backend or data engineering roles, designing and operating large-scale data pipelines, backend services, and data infrastructure in production environments.
Hands-on experience working on ML/AI-powered products in production, with strong understanding of requirements for integrating data platforms with AI features.
Familiarity with modern LLM (Large Language Model) and RAG (Retrieval-Augmented Generation) technologies, and experience supporting their deployment or integration.
Familiar with or have worked with these technologies (or alternatives):
Data Processing & Streaming: Apache Spark, DBT, Airflow, Airbyte, Kafka
API Development: FastAPI, micro-service architecture, SFTP
Data Storage: Data Lakehouse architectures, Apache Iceberg, Vector Databases, RDS
ML/AI: ML/LLM libraries and frameworks (such as Gemini, Hugging Face, etc.)
Cloud Infrastructure: AWS stack (S3, Firehose, Lambda, Athena, etc.), Kubernetes (K8s)
Demonstrated ability to optimize performance and ensure high availability, scalability, and reliability of backend/data systems.
Strong foundation in best practices for data quality, governance, security, and observability.
Ability to collaborate effectively with engineering, data science, and product teams in a cross-functional setting.
Track record of innovative thinkin המשרה מיועדת לנשים ולגברים כאחד.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a AI Backend Engineer.
As the AI Backend engineer , you will join a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll utilize technical skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.
This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.
What youll do:
Design, develop, and maintain backend services for AI agents and tool integrations using latest technologies
Build scalable APIs and microservices that interface with LLMs and AI frameworks
Implement agent orchestration systems, tool calling mechanisms, and workflow engines
Optimize performance and reliability of AI-powered applications at scale
Develop data pipelines for training, evaluation, and monitoring of AI systems
Integrate with various LLM providers (OpenAI, Anthropic, etc.) and manage API interactions
Requirements:
Excellent coding skills in Python/TypeScript, with at least 5 years of hands-on experience building reliable backend services, agents and tooling. Familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) is a strong advantage.
Experience designing, deploying, and maintaining production systems that integrate ML components, including APIs, microservices, model serving layers, feature pipelines, monitoring, and CI/CD/MLOps workflows.
Solid experience with AI related contexts Understanding of prompt engineering and LLM optimization techniques, RAG architecture
Solid understanding of distributed systems concepts, performance optimization, observability, and operating services at scale.
Strong communication skills, with the ability to bridge technical, product, and business perspectives.
Prior experience in cybersecurity, fraud prevention, or identity management is a plus, especially with secure system architectures or ML-augmented decisioning systems.
Advantages
Experience integrating with LLM APIs (OpenAI, Anthropic Claude, etc.)
Experience with agent frameworks (LangChain, LlamaIndex, AutoGPT)
Background in ML/AI concepts and model deployment
Experience with message queues (RabbitMQ, Kafka) and event-driven architectures
Experience with function calling and tool use patterns in LLMs
This position is open to all candidates.
 
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26/05/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Platform Engineer to join our engineering team. This is a hybrid role sitting at the intersection of backend software development and infrastructure engineering. You will own the design and delivery of platform capabilities - from backend services and APIs to the internal developer tooling, CI/CD systems, and Kubernetes-based infrastructure that power our engineering organization.

You will partner closely with software engineering teams, acting as both a builder and an enabler: shipping production-quality backend services while also raising the bar for developer experience, deployment reliability, and infrastructure scalability.

What You'll Be Doing

Design, build, and maintain production-grade backend services, APIs, and microservices.
Develop background workers, event-driven systems, and async processing pipelines.
Define and enforce backend architecture patterns - API design standards, service boundaries, data modeling, and error handling.
Collaborate with product and feature teams to deliver shared platform services (auth, notifications, integrations, etc.).
Integrate and operate AI agents within engineering workflows, using them as active development tools to accelerate delivery and improve code quality.
Contribute to the design and development of corporate AI-agent tooling - building the infrastructure, APIs, and platform abstractions that power our internal LLM-based tools.
Work closely with large language models (LLMs) - including prompt engineering, API integration, and building reliable pipelines around model inference.
Own and evolve our Kubernetes infrastructure, including Helm chart management, workload configuration, RBAC, and cluster operations.
Design and manage CI/CD pipeline templates shared across engineering teams - covering build, test, security scanning, and deployment stages.
Develop internal developer platform tooling that improves self-service capabilities and deployment velocity.
Drive observability best practices using tools like Datadog, OpenTelemetry, and Prometheus.
Requirements:
What We're Looking For
6+ years of backend engineering experience with strong proficiency in Python and/or TypeScript / Go / Java.
Hands-on experience with Kubernetes - beyond basic deployments; you understand scheduling, resource management, networking, RBAC, and cluster-level operations.
Proven experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, or similar).
Strong background in designing and operating distributed backend systems, including microservices, message brokers (Pub/Sub, Kafka, RabbitMQ), and relational/NoSQL databases.
Experience developing internal developer tooling and platform abstractions.
Practical experience working with LLMs and AI agents - whether through API integrations (OpenAI, Anthropic, etc.), agentic frameworks (LangChain, LangGraph, CrewAI, or similar), or building tooling around model inference.
A DevOps mindset - you care about deployment safety, rollback strategies, and the lifecycle of code from commit to production.
Advantages

Experience with GitOps workflows (ArgoCD, Flux).
Experience with cloud platforms (GCP preferred, AWS).
Contributions to open-source infrastructure tooling.
Experience building or productionizing agentic systems, including tool use, memory, and multi-step reasoning pipelines.
Familiarity with LLM infrastructure concerns - model hosting, context management, cost optimization, or evaluation frameworks.
This position is open to all candidates.
 
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14/06/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior II Software Engineer to join the CX Platform team, the foundational engineering team powering our entire Customer Experience group. This is a high-impact, hands-on role at the intersection of backend engineering, AI infrastructure, and customer-facing product.
You'll work across the full platform stack (backend services, data pipelines, security, cost, and scale) with a meaningful and growing focus on AI infrastructure. We own the agentic platform for the entire Product Offering group: from building the LLM infrastructure and agentic workflows to ensuring they're reliable, observable, and safe in production.
Why should you join us?
AI isn't a side project. It's a strategic priority, and the CX Platform team sits at the center of it. We own the AI infrastructure for the entire Product Offering group, which means your work has wide reach and real stakes.
You'll be working with modern agentic patterns, like AWS Bedrock and LangChain, building features that are genuinely novel and not just wrapping someone else's chatbot. If you want a role where backend depth, product instinct, and AI engineering all matter equally, this is it.
What you'll be doing:
Own AI infrastructure for the Product Offering group. Design, build, and evolve the shared AI platform (agentic workflows, LLM integrations, observability, and guardrails) that CX product teams build on.
Ship agentic features end to end. Lead development of AI-driven capabilities using LangChain, LangFuse, and AWS Bedrock, from architecture through production deployment and monitoring.
Drive platform architecture. Set the technical direction for the CX backend (services, data pipelines, API patterns) with an eye for scalability, reliability, and developer experience.
Own core data foundations. Design resilient data-access patterns across Snowflake, Elasticsearch, Kafka, Redis, and MySQL; keep pipelines fast, fresh, and reliable.
Mentor and elevate. Help engineers across the CX group grow in backend craft, AI engineering, and system design thinking.
Collaborate cross-functionally. Work with product, design, and customer-facing teams to turn ambiguous problems into well-scoped, high-quality solutions.
Requirements:
6+ years of backend engineering experience with strong expertise in Node.js and TypeScript.
Hands-on experience building or integrating LLM-powered features or agentic workflows into a production product (not just internal tooling).
Experience with distributed systems and event-driven architectures, and comfort with stores like Kafka, Redis, Elasticsearch, MySQL, and Snowflake.
Strong familiarity with cloud-native environments. AWS experience is a significant advantage.
Deep systems thinking: you design for scale, resilience, and maintainability from the start.
Experience building customer-facing products alongside product managers and designers.
Excellent communication: you can align engineers, product, and non-technical stakeholders around a technical decision.
Proven ability to own and drive complex initiatives with minimal oversight.
Itd be really cool if you also have:

Experience with LangChain, LangGraph, LangFuse, or similar orchestration and observability tooling
Hands-on experience with AWS Bedrock or other LLM provider APIs
Experience designing or running AI evaluation frameworks (evals, LLM-as-judge, regression suites)
Familiarity with MCP (Model Context Protocol) or building tools for coding agents
Experience with React, Next.js, or micro-frontend architectures
Knowledge of Python for AI/data workflows.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and English Speakers
We are looking for a talented, passionate and experienced Senior Backend Software Engineer to join our team. You will help design and build the backend and data pipeline behind leading XDR platform, operating at large scale and under real-world production constraints. Were looking for someone with strong distributed systems fundamentals, high coding standards, and a collaborative, hands-on approach.
Responsibilities:
Lead the design and implementation of key backend components in flagship product
Build and operate a high-throughput data pipeline handling terabytes of data per day, with a focus on performance, reliability, and cost
Drive engineering best practices (testing, observability, CI/CD, code review, technical design) and contribute to product/technical innovation
Mentor engineers and help grow a strong engineering culture; learn and collaborate across teams
Requirements:
5+ years of backend engineering experience building production systems
3+ years of professional Python experience
Proven experience designing and building large-scale, performant distributed systems
Strong experience with Docker and Kubernetes, and with a cloud provider (preferably AWS)
Experience with one or more modern data stores / data platforms such as Snowflake, PostgreSQL, Redis and data lake formats (e.g., Parquet/Iceberg)
Strong communication skills and ability to clearly articulate technical ideas and tradeoffs
High proficiency in English (written and spoken)
Collaborative, responsible team player who enjoys working in a dynamic, business-oriented environment
Advantage:
Microservices architecture experience
Experience applying AI tools/assistants to engineering workflows (e.g., productivity, code quality, debugging, automation)
Experience in cybersecurity / security products
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 Senior Backend Engineer to join our team and implement advanced AI solutions in our travel and expense management products. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies.
You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.
What Youll Do
Design and develop scalable, high-performance backend services and APIs.
Implement integrations with AI platforms and services.
Work with AI specialists to translate AI capabilities into production-ready features.
Ensure high reliability, performance, and security of AI-powered systems.
Collaborate with product and engineering teams to gather requirements and deliver solutions.
Requirements:
5+ years of professional backend engineering experience.
Strong proficiency in at least one backend programming language (Java etc).
Experience building and maintaining production-grade APIs and microservices.
Solid understanding of distributed systems, data structures, and algorithms.
Experience with SQL and NoSQL databases.
Track record of delivering consumer-facing products at scale.
Experience with AI/ML platforms and services (OpenAI, Hugging Face, etc.)
Familiarity with LLMs, RAG, or conversational AI.
Knowledge of vector databases and embedding technologies.
Experience with cloud platforms (AWS, GCP, Azure).
Understanding of AI/ML concepts and implementation patterns.
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 Senior Backend Engineer to join our team and implement advanced AI solutions in our travel and expense management products. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies.
You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.
What Youll Do
Design and develop scalable, high-performance backend services and APIs.
Implement integrations with AI platforms and services.
Work with AI specialists to translate AI capabilities into production-ready features.
Ensure high reliability, performance, and security of AI-powered systems.
Collaborate with product and engineering teams to gather requirements and deliver solutions.
Requirements:
5+ years of professional backend engineering experience.
Strong proficiency in at least one backend programming language (Java etc).
Experience building and maintaining production-grade APIs and microservices.
Solid understanding of distributed systems, data structures, and algorithms.
Experience with SQL and NoSQL databases.
Track record of delivering consumer-facing products at scale.
Experience with AI/ML platforms and services (OpenAI, Hugging Face, etc.)
Familiarity with LLMs, RAG, or conversational AI.
Knowledge of vector databases and embedding technologies.
Experience with cloud platforms (AWS, GCP, Azure).
Understanding of AI/ML concepts and implementation patterns.
This position is open to all candidates.
 
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חברה חסויה
Job Type: Full Time
we are looking for a Data Infrastructure Engineer.
Responsibilities:
Design and build data solutions that support core business goals, from enabling capital market transactions (loan sales and securitization) to providing
reliable insights for reducing the cost of capital.
Develop advanced data pipelines and analytics to support finance, accounting, and product growth initiatives.
Create ELT processes and SQL queries to bring data to the data warehouse and other data sources.
Develop data-driven finance products that accelerate funding capabilities and automate accounting reconciliations.
Own and evolve data lake pipelines, maintenance, schema management, and improvements.
Create new features from scratch, enhance existing features, and optimize existing functionality.
Collaborate with stakeholders across Finance, Product, Backend Engineering, and Data Science to align technical work with business outcomes.
Implement new tools and modern development approaches that improve both scalability and business agility.
Ensure adherence to coding best practices and development of reusable code.
Constantly monitor the data platform and make recommendations to enhance architecture, performance, and cost efficiency.
Requirements:
4+ years of experience as a Data Engineer.
4+ years of Python and SQL experience.
4+ years of direct experience with SQL (Redshift/Snowflake), data modeling, data warehousing, and building ELT/ETL pipelines (DBT & Airflow preferred).
3+ years of experience in scalable data architecture, fault-tolerant ETL, and data quality monitoring in the cloud.
Hands-on experience with cloud environments (AWS preferred) and big data technologies (EMR, EC2, S3, Snowflake, Spark Streaming, Kafka, DBT).
Strong troubleshooting and debugging skills in large-scale systems.
Deep understanding of distributed data processing and tools such as Kafka, Spark, and Airflow.
Experience with design patterns, coding best practices, and data modeling.
Proficiency with Git and modern source control.
Basic Linux/Unix system administration skills.
Experience with AI tools and a strong interest in continuously exploring and applying them in everyday work are highly valued.
Nice to Have:
Familiarity with fintech business processes (funding, securitization, loan servicing, accounting).- Huge advantage
BS/MS in Computer Science or related field.
Experience with NoSQL or large-scale DBs.
DevOps experience in AWS.
Microservices experience.
2+ years of experience in Spark and the broader Data Engineering ecosystem.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Were looking for a Senior Software Engineer to join the AZ Team in Tel Aviv - a group of passionate developers building the secure, scalable backbone of our Customer Experience (CX) Platform.
Our CX organization is one of the companys fastest-growing and most innovative groups, crafting a first-in-class digital experience for our customers and partners everywhere they connect with us. The CX Platform supports diverse business requirements using emerging technologies, including predictive and generative AI, to drive customer success and accelerate time to value.
Were at the epicenter of developing modern, cloud-native technologies that keep us agile and adaptable in a constantly evolving market. The AZ Team does it from A to Z - for developers, by developers. We own everything from user management, authentication, and authorization to the data consumption layer that enables developers to build securely and efficiently. Our mission is to deliver seamless, scalable, and developer-friendly foundations that make it easy to create, connect, and innovate - ensuring that every part of the platform, from login to data insights, just works.
Your Impact
As a key member of the AZ Team, youll play a pivotal role in shaping the foundations of our CX Platform - driving features and architectural decisions from concept to production-grade solutions. Youll design and build secure, scalable systems for user management, authentication, authorization, and data access that serve thousands of developers across.
You will:
Design, develop, and build platform-wide authentication and authorization services, creating a cohesive identity fabric that integrates seamlessly with multiple identity vendors and systems.
Lead the evolution of the data consumption layer, enabling governed, efficient, and context-aware access to data across the CX ecosystem.
Drive architectural decisions from concept to production, ensuring solutions are secure, scalable, and optimized for both developer experience and operational excellence.
Leverage AI and automation to enhance access control, anomaly detection, and developer productivity - turning complex platform insights into actionable intelligence.
Collaborate cross-functionally with product, data, and infrastructure teams to build interoperable solutions that power our next-generation developer platform.
Influence platform-wide engineering standards, promoting robust design, observability, and maintainability across services.
Champion developer experience, crafting APIs, SDKs, and tools that simplify integration and accelerate innovation.
Mentor and guide engineers, fostering a culture of technical depth, curiosity, and impact-driven innovation.
Requirements:
Minimum Qualifications
8+ years of professional software engineering experience, with proven ability to design, implement, and deliver complex distributed systems in production.
Strong problem-solving, debugging, and system-design skills, with a focus on scalability and maintainability.
Validated experience in backend or full-stack development using one or more of the following languages: Java, TypeScript/Node.js, Go, or Python.
Proven understanding of distributed systems, microservices architecture, and RESTful or GraphQL APIs.
Hands-on experience with cloud-native development on AWS, including containerized workloads runnig on EKS (Kubernetes).
Proficiency with databases - relational (e.g., PostgreSQL) or NoSQL (e.g., MongoDB, Redis, OpenSearch) - and familiarity with data-driven application design.
Deep understanding of authentication, authorization, and modern identity and access management concepts.
Familiarity with streaming and messaging systems, such as Apache Kafka.
Preferred Qualifications:
Experience building or integrating with multiple identity providers (e.g., Okta, Azure AD, Ping) and designing identity fabric or zero-trust architectures.
This position is open to all candidates.
 
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7 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are seeking an Senior AI Engineer to design, build, and deploy AI-powered capabilities within our product.

This role focuses on integrating machine learning models and large language models (LLMs) into scalable software systems and delivering reliable AI-driven features to production.

The AI Engineer works at the intersection of software engineering, AI systems, and infrastructure. transforming AI technologies into practical applications.

Responsibilities:
Build applications powered by machine learning and large language models (LLMs).
Implement capabilities such as intelligent assistants, semantic search, automation, and recommendation systems.
Integrate AI functionality into backend services and product workflows.
Design and implement retrieval pipelines, embedding pipelines, and inference workflows.
Build Retrieval-Augmented Generation (RAG) systems and AI-driven services.
Create scalable AI architectures capable of handling production workloads.
Package and deploy AI models as production services.
Optimize inference performance, scalability, and latency.
Monitor AI services to ensure reliability and performance.
Develop backend services and APIs that expose AI capabilities.
Integrate AI systems with databases, internal services, and external APIs.
Contribute to system architecture and microservices design.
Implement logging, metrics, and observability for AI systems.
Track model performance and system reliability in production environments.
Work closely with product managers, engineers, and data scientists.
Requirements:
5+ years of programming skills in one or more modern languages (such as Python, Java, Go, or similar).
Experience building backend services and APIs.
Experience integrating machine learning models or LLMs into applications.
Understanding of microservices architecture and distributed systems.
Experience with Docker and containerized applications.
Familiarity with Kubernetes or cloud infrastructure.
Experience working with databases and data processing pipelines.

Preferred Qualifications:

Experience building LLM-based applications.
Experience with RAG architectures and embeddings.
Experience with vector databases or semantic search systems.
Familiarity with model serving frameworks or inference platforms.
Experience working in production AI environments.

Strong Advantage:
Experience working with local or self-hosted AI models (e.g., Llama, Mistral, or similar).
Experience deploying AI models in on-premise or private cloud environments.
Familiarity with running LLM inference locally using frameworks such as Ollama, vLLM, or Hugging Face Transformers.
Experience optimizing models for GPU/CPU inference and resource-constrained environments.
This position is open to all candidates.
 
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