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4 ימים
חברה חסויה
Location: Merkaz
Job Type: Full Time
abra R&D is looking for a Backend Platform AI Engineer! ab ra R&D is looking for a Backend Platform Engineer to help build the next?generation Database built from scratch for AI Agents This role focuses on building the developer-facing platform around the core database engine- enabling seamless integration with AI agent frameworks (LangChain, PydanticAI, and others), as well as external systems via connectors, plugins, and SDKs What You’ll Do
* Design and build MCP APIs and core backend services
* Develop and maintain SDKs (Python, TypeScript, Go, Rust)
* Build connectors and plugins for AI agent platforms (LangChain, PydanticAI, others)
* Design clean, scalable, and ergonomic developer-facing APIs
* Own integration infrastructure (auth, streaming, event pipelines, webhooks)
* Build and optimize real-time data flows between agents, services, and the database
* Collaborate closely with database engineers to expose powerful capabilities through well-designed APIs
* Ensure reliability, observability, and performance of all external-facing systems
Requirements:
* 5+ years of experience in backend or platform engineering
* Strong proficiency in at least one of: Python, TypeScript, Go, or Rust
* Experience designing and building production-grade APIs and SDKs
* Strong understanding of distributed systems and service architecture
* Experience with event-driven systems, streaming, or real-time architectures
* Solid understanding of API design best practices (REST/gRPC, versioning, developer experience) Strong Plus
* Experience building developer platforms or public SDKs
* Familiarity with AI/LLM ecosystems (LangChain, agents, tool calling)
* Experience with plugin architectures or extensibility frameworks
* Background in data platforms, databases, or infrastructure tooling
* Experience with async systems, concurrency, and high-throughput services
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required AI Backend Engineer
Tel Aviv-Yafo, Gush Dan, Israel
We offer the industrys only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
About the Role:
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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5 ימים
חברה חסויה
Location: Herzliya
Job Type: Full Time
Power the Future with us! At our company, we're a global leader in smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery Storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. our company offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. We are looking for a Senior backend Engineer to join our cloud platform team. In this position, you will take ownership of end-to-end delivery for critical data -driven features, orchestrating complex logic across cloud and Embedded systems. An ideal candidate is a highly motivated system thinker with a strong background in distributed systems, event-driven architecture, and handling large-scale telemetry data. Responsibilities:
* Design and develop high-performance, event-driven microservices for mission-critical IoT platforms.
* Lead the architecture and production rollout of complex backend features involving Real-Time data streams and dynamic algorithms.
* Build and maintain scalable prediction platforms, facilitating Machine Learning model integration, data pipelines, and Real-Time inference.
* Write well-designed, testable, and efficient code, primarily using JAVA and Python.
* Collaborate with algorithm, Embedded, and frontend teams to orchestrate Real-Time logic for thousands of active connected devices.
* Take ownership of the full software lifecycle, from system design to production deployment and monitoring.
* Provide high-level production support.
* Mentor junior engineers and drive architectural best practices within the team.
Country:
Israel
City:
Herzliya
Requirements:
* BS/MS degree in Computer Science, Software Engineering, or a related subject.
* 6+ years of backend development experience, with strong expertise in JAVA and the Spring Boot framework.
* Proven experience designing and building large-scale distributed systems and event-driven architectures.
* Hands-on experience with Apache Kafka for Real-Time data streaming.
* Solid understanding of database technologies and data access optimization, including SQL (MariaDB) and NoSQL (Cassandra, Redis).
* Experience with containerization and orchestration using Docker and Kubernetes.
* Excellent communication skills and a proven ability to work in cross-functional environments. Advantages:
* Proficiency in Python (FastAPI, Pandas) and data orchestration pipelines like Apache Airflow.
* Previous experience working with IoT platforms, hardware orchestration, or algorithmic optimization systems.
* Familiarity with operationalizing ML models or building scalable data platforms.
* Experience with AI-assisted development tools.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are revolutionizing maritime operations with cutting-edge computer vision, augmented reality, and autonomous technologies. Our mission is bold: make ocean shipping safer, more efficient, and significantly greener.
From real-time navigation assistance to AI-driven insights that reduce fuel consumption and prevent collisions, were building a future where ships sail smarter. Join our growing team and help shape the next generation of intelligent maritime systems used by leading fleets across the globe.
The Role
Were looking for a Senior Software Engineer with a passion for solving tough technical challenges, working across the stack, and building systems that matter. This is your opportunity to work on an advanced, real-world product involving computer vision, edge computing, and scalable cloud architecture.
What Youll Do
Design and implement robust, scalable components across the software stack.
Take end-to-end ownership of complex features-from concept to deployment.
Collaborate with product managers, system engineers, and AI researchers to build integrated solutions.
Contribute to a high-performance platform that combines real-time sensor data, video analytics, and cloud services.
Build and maintain CI/CD pipelines and automated test frameworks.
Lead with quality-writing clean, testable code and applying TDD principles.
Mentor teammates, share knowledge, and help set best practices across the team.
Requirements:
5+ years of software engineering experience, with at least 2 years in Python.
Experience building back-end services using microservices architecture.
Proficiency with both SQL and NoSQL databases.
Strong background in designing scalable, distributed systems
Hands-on experience in CI/CD environments and modern testing frameworks.
Solid understanding of TDD and a quality-first engineering mindset.
Excellent communication skills in English.
Bonus Points For
B.Sc. in Computer Science, Engineering, or equivalent experience.
Startup experience or work in multidisciplinary tech environments.
Experience with multi-threaded or multi-tasked applications.
Hands-on with AWS (e.g., Lambda, SQS, CloudFront, EKS).
Familiarity with Docker, Kubernetes, and RESTful services.
Exposure to computer vision or AI-driven systems.
Background in video systems (streaming, encoding, media servers).
This position is open to all candidates.
 
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23/03/2026
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 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.

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.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.
Requirements:
What qualifications and skills will help you to be successful?
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.
This position is open to all candidates.
 
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05/04/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Senior Backend Engineer, you will play a pivotal role in scaling and evolving the core systems that power our company's agentic AI platform. With a product already live in production, you will work closely with our engineering leadership to take our infrastructure to the next level- from real-time orchestration and automation logic to scalable APIs and data pipelines.
You'll work at the heart of our stack, combining Node.js and Python to build high-performance, reliable backend services that power our voice and digital agents, analytics, and AI integrations. This is a hands-on role for a highly self-sufficient builder who loves elegant systems, clean code, and moving fast without breaking things.
What You'll Do
Drive Execution: Act autonomously to define your own technical tasks, prioritize effectively, and push features to the finish line while collaborating seamlessly with a tight-knit core team.
Build & Scale: Collaborate on system architecture and build out scalable backend services in Node.js and Python for our growing production workloads.
Orchestrate AI: Integrate large language models (LLMs) and build multi-step, reasoning-based AI agent workflows using frameworks like LangGraph (a strong plus).
Enhance Infrastructure: Own backend performance, observability, and infrastructure scalability, optimizing services in a cloud-native environment (AWS / GCP).
Cross-Functional Collaboration: Work closely with frontend, AI, and product teams to design and implement impactful cross-functional features.
Data & Delivery: Manage databases, caching, and distributed systems with strong data modeling practices, while upholding rigorous engineering standards and CI/CD practices.
Requirements:
Experience: 7+ years of backend engineering experience building and scaling production-grade systems.
Startup DNA: Previous experience as a founding engineer or a proven track record of thriving in a small, early-stage startup environment is a huge plus.
Extreme Ownership: You are fiercely self-reliant. You don't wait for a ticket to be perfectly scoped; you can navigate ambiguity, define the work that needs to be done, and execute.
Technical Deep Expertise: Deep knowledge of Node.js and Python, with a solid understanding of async and concurrency.
Cloud & Architecture: Proven experience with cloud platforms (AWS, GCP) and managing microservices-based architectures with real production workloads.
Database Mastery: Strong knowledge of databases (SQL + NoSQL), caching, and distributed architectures.
AI Familiarity: Experience with LLM integration, LangGraph, or other agent orchestration frameworks is a strong plus.
Education: BSc in Computer Science, Software Engineering, or equivalent.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for an AI Platform Engineer to revolutionize engineering productivity and drive AI-powered innovation across the organization. This role is part of our Platform Engineering initiative, focused on enabling engineers and product teams with cutting-edge AI tools, intelligent automation, and scalable AI platforms.
If youre an innovator at heart, passionate about applying AI to solve complex engineering problems, and thrive in an environment that values experimentation, ownership, and entrepreneurship-this role is for you.
Responsibilities
Develop and integrate AI-powered solutions that enhance engineering productivity, automate workflows, and improve developer efficiency across the organization.
Evaluate, prototype, and implement state-of-the-art AI platforms using latest models and frameworks (e.g., ChatGPT, Claude, Gemini, LangGraph, Librechat, AWS Agentcore Bedrock) to address engineering and operational challenges.
Design, build, and maintain AI-driven internal platforms, including knowledge management systems, AI-enhanced coding assistants, intelligent automation tools, and AI-powered chatbots.
Collaborate closely with engineering, DevOps, and product teams to embed AI capabilities into everyday development workflows.
Lead Proof-of-Concept (PoC) initiatives, experimenting with LLMs, generative AI, and automation frameworks to deliver tangible business impact.
Research emerging AI trends, tools, and models, and translate them into practical, production-ready solutions.
Build and operate scalable AI infrastructure that integrates with cloud environments and existing engineering toolchains.
Promote a culture of innovation by empowering teams to adopt AI-driven solutions and sharing knowledge and outcomes across the organization.
Requirements:
Must:
BSc in Computer Science or related degree, or equivalent practical experience.
7+ years of hands-on experience as a software Engineer
Strong proficiency in Python and experience with AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face).
Experience with AI APIs (OpenAI, Anthropic, Google AI, Microsoft AI) and integrating them into engineering workflows
Hands-on experience with developer productivity tools, AI-enhanced automation, and knowledge management systems
Strong problem-solving skills and ability to build AI-powered solutions that engineers love to use.
Nice to Have:
Deep understanding of LLMs, RAG (Retrieval-Augmented Generation), fine-tuning, and prompt engineering.
Experience with data pipelines, embeddings, and vector databases for AI-powered search and automation.
Experience working with cloud-based AI platforms and scalable AI architectures
Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for deploying AI applications.
Experience with AI Ops, observability tools, and monitoring AI applications in production.
Familiarity with LangChain, AutoML, MLOps frameworks, and workflow automation tools.
A background in software engineering, DevOps, or developer tooling.
Strong entrepreneurial mindset, able to identify opportunities, move fast, and drive AI adoption in a high-impact environment.
Published research, open-source contributions, or side projects demonstrating innovative AI applications.
This position is open to all candidates.
 
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05/04/2026
Location: Petah Tikva
Job Type: Full Time
We are seeking an experienced Staff Backend Engineer to lead the engineering efforts behind our homegrown platform for serving and operating production-grade AI models and AI based algorithms.

This is a mission-critical role for someone passionate about building highly-scalable, GPU-aware, cloud-native systems that act as the connective tissue between algorithm research and product innovation. You will play a pivotal part in re-designing and evolving the platform, while supporting both research and application teams across the organization, and contributing to MLOps initiatives.
Key Responsibilities

Platform Ownership
Own the architecture, stability, scalability, and performance of the system.
Design and implement platform features that support both synchronous low-latency and asynchronous compute-heavy algorithm execution.
Enhance GPU management, scheduling, and resource allocation for optimal performance and cost-efficiency.
Ensure robust Kubernetes-based deployment and observability for a highly dynamic system.

Cross-Team Collaboration
Act as the technical bridge between Research and Application teams by translating requirements into scalable system designs.
Collaborate closely with algorithm developers to streamline model deployment processes.
Partner with backend engineers (primarily working in Ruby and Go) to integrate the research group algorithms into services.

Engineering Excellence
Advocate for high standards in code quality, observability, testing, and security.
Guide engineering integration efforts when consuming the different platform APIs.
Provide mentorship, support, and best practices to other engineers interacting with the platform.
Take part in general R&D efforts, supporting a broader production environment.

Platform Extension and MLOps
Contribute to the evolution of our platform to support a wider range of algorithmic workloads and model types.
Help shape tooling and infrastructure for model versioning, rollout, monitoring, and testing.
Collaborate with DevOps and Infrastructure teams to maintain operational excellence, system observability, and robust infrastructure support
Requirements:
8+ years of experience in software engineering, with 3+ years working on infrastructure/platforms involving ML/AI, GPU, or data-heavy systems.
Proficiency in Python and familiarity with backend languages such as Ruby and/or Go.
Strong understanding of Kubernetes internals and experience running GPU workloads in production environments.
In-depth knowledge of AWS services.
Experience architecting systems that support both real-time and asynchronous processing pipelines.
Familiarity with the ML lifecycle and MLOps practices, including CI/CD for models, monitoring, and rollback strategies.
This position is open to all candidates.
 
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4 ימים
חברה חסויה
Job Type: Full Time
Welcome to Chargeflow Chargeflow is at the forefront of fintech + AI innovation, backed by leading venture capital firms. Our mission is to build a fraud-free global commerce ecosystem by leveraging the newest technology, freeing online businesses to focus on their core ideas and growth. We are building the future, and we need you to help shape it. Who We're Looking For - The Dream Maker We're in search of an exceptional Backend Engineering Team Leader , someone with a wealth of hands-on software engineering expertise. As part of our core product team, you'll be at the forefront of crafting a groundbreaking solution that leverages cutting-edge technology to combat fraud. Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud. Your Arena - Know your impact ??
* Take a leading role in the team of talented engineers, share your experience and demonstrate your expertise building our market-leading product
* Design and implement the infrastructure of the system including the ingestion, algorithms, performance optimizations, and interactive applications
* Build a highly scalable data platform for diversified and complex data flows
* Have end-to-end ownership: Design, build, ship, measure, and maintain our backend services. You build it - you own it
* Work closely with our fantastic Product team that created an industry-leading SaaS Product-Led-Growth offering
* Join us in building a professional, fun company and engineering culture with the highest standard.
Requirements:
Qualifications:
* 3-4 years of managerial experience, leading small to medium engineering teams - Must
* 7+ years of experience building production-grade backend systems , with deep expertise in TypeScript and Node.js - Must
* Strong track record designing and evolving distributed, event-driven architectures (microservices, asynchronous systems, serverless where appropriate) - Must
* Experience building cloud-native systems on AWS , with a strong understanding of tradeoffs in scalability, reliability, and cost - Must
* Hands-on experience using Kafka in real production environments , with a strong understanding of internals (partitioning, ordering, consumer groups, delivery semantics, scaling, failure modes) - Must
* Practical experience with Docker-based workflows and modern containerized development practices - Must
* Familiarity with Kubernetes (including EKS) and/or ECS , and understanding how services behave when deployed and scaled in container orchestration environments - Must
* Strong experience working with both NoSQL (MongoDB) and relational databases (Postgres) , with a clear understanding of data modeling and tradeoffs - Must B.Sc . in Computer Science or equivalent experience AI-driven engineering practices
* Experience using AI-assisted development tools (ChatGPT, Claude, GitHub Copilot, Cursor, etc.) as part of daily engineering workflows - Must
* Experience leveraging LLMs to improve productivity in coding, design exploration, technical writing, and analysis - Must
* Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and having built small tools or integrations using them
* Ability to critically assess AI-generated output and apply strong engineering judgment
* Interest in emerging AI tooling and how it can enhance, not replace , strong software engineering practices Our Story Chargeflow is a leading force in fintech innovation, tackling the pervasive issue of chargeback fraud that undermines online businesses. Born from a deep passion for technology and a commitment to excel in eCommerce and fintech, we've developed an AI-driven solution aimed at combating the frustrations of credit card disputes. Our diverse expertise in fintech, eCommerce, and technology positions us as a beaco
This position is open to all candidates.
 
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8469793
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22/03/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a Senior/Backend Engineer for our Cortex Platform team to build and scale the systems that power the future of cybersecurity. You will help prevent, detect, and respond to threats by working on an integrated endpoint, network, and cloud data platform, ultimately reducing noise and allowing focus on real threats.
Key Responsibilities
Design, build, and maintain a highly scalable, distributed cloud infrastructure capable of processing billions of events per second.
Own the complete software development lifecycle, from requirement analysis and design to development, deployment, and ongoing support.
Write clean, testable, readable, and maintainable code with a focus on performance and scalability.
Proactively collaborate and exchange information with cross-functional teams to accomplish shared objectives and build industry-leading cyber products.
Analyze and solve complex engineering problems at scale, ensuring the reliability and efficiency of our data storage and processing systems.
Requirements:
Bachelor's degree in Computer Science, a related technical field, or equivalent military or practical experience.
4+ years of professional software engineering experience.
Proven experience in developing and maintaining distributed cloud products.
Experience in designing, building, and maintaining scalable server-side applications.
Hands-on experience with a variety of database technologies such as MySQL, Cassandra, Google BigQuery, Amazon Redshift, Elasticsearch, or Neo4j.
Preferred Qualifications
Experience with Go and/or Python.
Familiarity with Google Cloud Platform (GCP).
Knowledge and experience within the cybersecurity domain.
Experience with containerization and orchestration technologies like Docker and Kubernetes.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8587440
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
29/03/2026
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are looking for an experienced Full-Stack Engineer with strong backend expertise to join our growing Sales R&D team in Tel Aviv. This is a backend-leaning role focused on building and maintaining high-performance systems while contributing across full-stack services. As part of our team, youll drive the evolution of our Sales platform, take end-to-end ownership of impactful features, and contribute to an AI-first engineering culture that embraces automation, intelligent tooling, and continuous improvement. You will play a key role in improving product quality, engineering productivity, and system reliability as we support rapid business growth.
Responsibilities:
Design and deliver end-to-end features across backend services and frontend applications, with strong emphasis on backend architecture, data integrity, and system reliability.
Develop and maintain SPA web applications for admin and product platforms using React + TypeScript and Next.js, including contributing to the modernization of legacy Ruby components.
Develop and maintain backend services across Python (FastAPI) and Node.js (NestJS) microservices, ensuring strong performance, robust data management, and ongoing modernization efforts.
Design, implement, and maintain reliable REST APIs with clear contracts, validation, and consistent error handling.
Work with complex relational data models, continuously improving query performance and data reliability.
Lead investigations and root-cause analysis for performance, optimization, and production-related issues, driving long-term improvements.
Collaborate closely with frontend, backend, QA, and product teams in a multi-repo environment, including active code reviews and cross-site collaboration with our Boston engineering team.
Take ownership of code quality and production stability by writing automated tests (e.g., pytest, Jest) and driving issues from investigation through resolution and prevention.
Requirements:
B.Sc. in Computer Science or Software Engineering from a top-tier academic institution (Technion, TAU, BGU, HUJI, or the Open University)
3+ years of professional software engineering experience building and maintaining production web application systems.
Strong backend experience with Python or TypeScript, working within service-oriented architectures.
Experience developing frontend web applications using TypeScript and modern frameworks such as React.
Solid production experience with relational databases, including schema design, query optimization, and performance tuning.
Experience working with AWS and cloud-based infrastructure, and improving developer workflows in multi-repo environments.
Experience designing and maintaining REST APIs used by web applications.
Strong debugging skills and experience troubleshooting performance and reliability issues in production systems.
Proven experience leading the full dev lifecycle: from driving technical design and scaling product requirements, to hands-on execution with high standards for code reviews, documentation, and incremental delivery.
Strong communication skills and an ownership mindset.
Advantages:
Hands-on experience with FastAPI and/or NestJS.
Strong experience with PostgreSQL, including advanced schema design, indexing strategies, and performance optimization.
Experience writing automated tests (unit + integration) and end-to-end testing using tools such as Playwright.
Experience working with observability and monitoring tools such as Coralogix and Sentry.
Experience with performance testing tools (e.g., JMeter, k6) and monitoring stacks (e.g., Prometheus, InfluxDB, Grafana).
Experience working in a monorepo environment with shared code and coordinated cross-project changes.
Experience with Redis, RabbitMQ, or Kafka.
This position is open to all candidates.
 
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