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Senior AI Platform Engineer - Sovereign AI Engineering Mon, 25 May 2026 13:24:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, הנדסה, מהנדס תוכנה בכיר, AI, AI Engineer, AI Engineer
סוג/היקף המשרה:
משרה מלאה
At our company, we redefine cyber defense vision by combining AI and human expertise to create products that protect nations and critical infrastructure. This is more than a job; its a Dream job. we are where we tackle real-world challenges, redefine AI and security, and make the digital world safer. Lets build something extraordinary together.
our company's AI cybersecurity platform applies a new, out-of-the-ordinary, multi-layered approach, covering endless and evolving security challenges across the entire infrastructure of the most critical and sensitive networks. Built as part of a broader sovereign AI platform, our technology is designed to operate in on-premise, private cloud, and air-gapped environments, enabling nations to maintain full control over their data, infrastructure, and AI capabilities. Central to our company's proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity. At our company, our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers. Responsibilities Design and build agentic systems - single and multi-agent workflows with planning, memory, context engineering, and tool use - for both internal automation and product-facing autonomous capabilities operating over long time horizons. Build and operate the AI platform layer - LLM gateways, prompt management, structured output handling, tool-calling infrastructure, and cost/latency optimization - deployed on Kubernetes, consumed by every team for their agentic work. Own the agent framework layer - orchestration primitives, execution environments, state management, and sandboxed tool execution - giving every team at our company the building blocks to create and operate their own agents. Build evaluation infrastructure that gives teams confidence in agent behavior - automated LLM and agent evals for quality, correctness, safety, latency, cost, and regressions, including human-in-the-loop oversight for mission-critical workflows. Productionize and harden backend services (APIs, gRPC, async workers) that integrate LLMs - with proper error handling, retries, circuit breakers, and high-availability patterns. Own RAG pipelines and retrieval systems - indexing, chunking, embedding, vector database management, filtering, and relevance tuning for production retrieval. Optimize performance and cost across the AI stack - model routing, caching, batching, and inference cost management. Ship shared tooling - libraries, SDKs, agent templates, and documentation - while working closely with ML Platform, Data Platform, DevOps, and other teams across the Applied AI Engineering group. Own architecture, documentation, and operations end-to-end. Requirements: 5+ years in backend or distributed systems engineering, with 2+ years focused on production systems that integrate AI/ML models or LLMs. Engineering craft - Strong Python, Go, or Java, system architecture, API design, testing, and secure coding practices. Agentic systems - Experience designing and building agent orchestration, tool-use systems, and autonomous workflows; familiarity with frameworks like LangGraph or similar, or having built equivalent from scratch Backend engineering - Experience building production APIs and services (FastAPI or similar); async programming, service architecture, high-availability, and reliability patterns (retries, circuit breakers, backpressure) LLM integration - Hands-on experience integrating LLMs via SDKs and APIs; context engineering, structured outputs, tool calling, and model routing RAG & retrieval - Experience with embedding pipelines, vector databases (e.g., Milvus, Qdrant, Pinecone), chunking strategies, and relevance tuning Evaluation & observability - Experience designing LLM and agent evals, monitoring AI system quality, and building observability for non-deterministic systems. This position is open to all candidates. |
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Senior ML Platform Engineer - Sovereign AI Engineering Mon, 25 May 2026 13:19:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, מהנדס תוכנה, הנדסה, מהנדס תוכנה, NLP/Machine Learning, AI, AI Engineer, AI Engineer
סוג/היקף המשרה:
משרה מלאה
At our company, we redefine cyber defense vision by combining AI and human expertise to create products that protect nations and critical infrastructure. This is more than a job; its a Dream job. we are where we tackle real-world challenges, redefine AI and security, and make the digital world safer. Lets build something extraordinary together.
our company's AI cybersecurity platform applies a new, out-of-the-ordinary, multi-layered approach, covering endless and evolving security challenges across the entire infrastructure of the most critical and sensitive networks. Built as part of a broader sovereign AI platform, our technology is designed to operate in on-premise, private cloud, and air-gapped environments, enabling nations to maintain full control over their data, infrastructure, and AI capabilities. Central to our company's proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity. At our company, our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers. Responsibilities Build and operate ML training infrastructure - distributed training pipelines, compute scheduling, and reproducible experiment workflows that data scientists rely on daily. Own model serving and inference systems - packaging, deployment, autoscaling, A/B testing, canary rollouts, and latency/cost optimization for production models. Run feature stores, model registries, and dataset versioning - enabling self-serve feature engineering, model lineage, and reproducible experiments across teams. Build experiment tracking and evaluation infrastructure - automated evals, comparison dashboards, drift detection, and monitoring that give teams visibility into model behavior and performance. Build and maintain production pipelines for training, fine-tuning workflows, and serving domain models - owning reliability, reproducibility, and scale. Build and maintain the monitoring and observability layer - model performance tracking, data and prediction drift detection, data quality validation, and alerting. Improve performance and cost across the ML stack - training throughput, inference latency, batch vs. real-time tradeoffs, and compute cost management. Ship shared tooling - libraries, templates, CI/CD for models, IaC, and runbooks - while collaborating across Data Platform, AI, Data Science, Engineering, and DevOps. Own architecture, documentation, and operations end-to-end. Requirements: 5+ years in software engineering, with 2+ years focused on ML infrastructure, MLOps, or data-intensive systems Engineering craft - Strong Python, distributed systems design, testing, secure coding, API design, CI/CD discipline, and production ownership. ML platform & serving - Model serving frameworks (e.g., Triton, TorchServe, vLLM, Ray Serve); model packaging, deployment pipelines, and inference optimization Training infrastructure - Distributed training pipelines (e.g., frameworks like PyTorch, JAX) experiment orchestration and reproducibility ML lifecycle tooling - Feature stores, model registries, experiment tracking (e.g., MLflow, Weights & Biases); dataset versioning and lineage Data pipelines - Building training and inference data pipelines; familiarity with tools like Spark, Airflow/Dagster, and streaming ingestion Comfortable with AI coding tools like Cursor, Claude Code, or Copilot Nice to Have: Experience operating in constrained environments - on-premise, private cloud, or air-gapped deployments Hands-on experience with simulation environments, synthetic data generation, or reinforcement learning workflows Platform & infra - Kubernetes, AWS, Terraform or similar IaC, CI/CD, observability, incident response Hands-on data science or applied ML experience. This position is open to all candidates. |
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System Software Engineer Mon, 25 May 2026 12:48:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, מהנדס מערכת - תוכנה, מהנדס תוכנה, הנדסה, מהנדס תוכנה
סוג/היקף המשרה:
משרה מלאה
Founded in Tel Aviv in 2016, UVeye is a computer vision and data company that creates automatic vehicle inspection systems to encourage road safety and increase transparency across the automotive industry. With key partnerships including General Motors, Volvo, and CarMax among others, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, security checkpoints, and more. Want to be an essential part of setting the standard for safety in the auto industry? Check out the description below to see if you’re a great fit!
UVeye is seeking a highly skilled Software Engineer to join our R&D team. The ideal candidate will work closely with hardware engineers to create efficient, reliable, and scalable embedded solutions for various applications. ?Here’s what you’ll be doing: * Implement C++ and Python software for data processing, system-level orchestration, and image acquisition. * Acquire and manage data streams from sensors and imaging devices. * Develop and maintain highly efficient C++ Code in a dockerized Linux environment * Collaborate with HW & FW engineers to ensure seamless integration between software and hardware components. * Develop software that interfaces with embedded systems and MCU-based firmware. * Design and maintain data pipelines to ensure reliable transfer of heavy data (images/video) from the edge device to cloud environments. Requirements: * B.Sc. in Computer Science, Electrical Engineering, equivalent. M.Sc. advantage * 4+ years of programming with proficiency in Python and C++. * Experience in data processing and SW implementation of computer vision * Strong experience working with Linux environments and system-level development (multithreading, processes, memory management). * Experience with Docker and containerized applications. * Basic understanding of embedded systems concepts * Experience interfacing HW with SW via TCP/IP, Ethernet, and Serial. * Familiarity with cloud services and APIs for data storage and processing * Experience with interfacing HW (TCP/IP, rs232) Why UVeye: Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections. Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses worldwide. Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships. UVeye is an equal-opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. This position is open to all candidates. |
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Head of Global Program Mon, 25 May 2026 12:09:00 GMT
מיקום המשרה:
יזרעאל
תחומי המשרה:
תוכנה, מנהל פרויקטים בתוכנה, חומרה, מנהל פרויקטים בחומרה
סוג/היקף המשרה:
משרה מלאה
Role Purpose
Lead end-to-end program execution and product launch orchestration across R&D, Operations, and Business functions. Manage and develop a team of Program Managers to ensure consistent delivery across all programs. Own the integration between development and commercialization, ensuring alignment to timelines, scope and business targets (margin, volume, readiness). Key Responsibilities Lead, develop and manage a team of Program Managers (coaching, performance, structure). Drive execution of multiple cross-functional programs across HW, SW, IoT, App and Cloud and IT. Ensure alignment across R&D, Finance, Operations, Product, Marketing and Regions. Own product launch readiness and Go/No-Go governance. Define and continuously improve PLC (Product Lifecycle) and stage-gate framework. Run executive Steering Committees for prioritization and decision-making. Provide full visibility of risks, dependencies and performance across programs. Embed margin, cost and business trade-offs into program decisions. Success Metrics 90% programs delivered on time, within scope and budget. Full launch readiness at Go decision (no surprises). High-performing and aligned Program Manager team. Improved time-to-market and execution predictability. Contribution to profitability targets (35% GP mindset). Requirements: Required Experience 5+ years in Program Management, Product Development or Operations. Proven experience managing teams of Program Managers (mandatory). Track record managing complex HW & SW / IoT programs. Strong experience in product launch and lifecycle management in global environments. Fluent / excellent English - written and verbal communication with global stakeholders Core Capabilities Strong leadership and people development capability. Ability to scale execution through teams. Execution-driven and structured approach. Business understanding including cost, pricing and margin impact. Ability to simplify complexity into clear decisions. This position is open to all candidates. |
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Support Engineer Mon, 25 May 2026 10:44:00 GMT
מיקום המשרה:
רעננה
תחומי המשרה:
תוכנה, מהנדס תמיכה, מחשבים ורשתות, תמיכה טכנית - מחשבים ורשתות, הנדסה, מהנדס תמיכה, Help Desk - מחשבים ורשתות, Tier 3 תומך/ת טכני/ת
סוג/היקף המשרה:
משרה מלאה
We're looking for a talented and motivated Support Engineer to join our team!
You will be responsible for troubleshooting, identifying issues, and delivering professional service to our customers. Responsibilities: Providing remote Tier 3 support for our Embedded information security solutions to ensure exceptional service delivery to our valued customers. Identifying and efficiently resolving technical issues with a high level of professionalism, ensuring optimal client satisfaction. Collaborating closely with the IT and information security teams of our clients, fostering strong working relationships, and meeting their specific needs. Acquiring an in-depth understanding of security solutions from various manufacturers, enabling you to offer specialized expertise and guidance to customers. Requirements: 2 year of relevant experience in Help desk /IT. Excellent interpersonal and communication skills, enabling effective interactions with clients and internal teams. Analytical and problem-solving abilities, allowing you to tackle complex technical challenges with efficiency. Prior experience in customer service and client-facing roles, demonstrating your ability to provide top-notch support and build positive relationships. The ability to perform well under pressure and meet demanding deadlines, ensuring seamless support even during challenging situations. Excellent command of English, both written and verbal. Experience working with large organizations or enterprises- Advantage. This position is open to all candidates. |
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אנליסט/ית שירות ובקרה Mon, 25 May 2026 10:22:00 GMT
מיקום המשרה:
פתח תקווה
תחומי המשרה:
תוכנה, Data Analyst
סוג/היקף המשרה:
משרה מלאה
מגייסים אנליסט/ית שירות ובקרה ( data Analyst) לחטיבת השירות!
הזדמנות אמיתית להשפיע על קבלת החלטות ניהוליות מבוססות נתונים! מה בתפקיד: ניתוח נתונים והפקת תובנות עסקיות בניית דוחות ובקרה שוטפת (Excel / BI ) עבודה מול מערכות CRM ופריוריטי שיפור תהליכים והובלת יוזמות משרה מלאה בפתח תקווה סגולה. יש לציין ציפיות שכר קורות חיים למייל. דרישות: תואר ראשון (כלכלה / הנדסה / מערכות מידע ) ניסיון בתפקיד אנליטי שליטה גבוהה ב-Excel ובכלי BI חשיבה אנליטית ויכולת עבודה עם ממשקים מרובים. המשרה מיועדת לנשים ולגברים כאחד. |
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Product-Oriented Senior FullStack Mon, 25 May 2026 09:23:00 GMT
מיקום המשרה:
באר שבע
תחומי המשרה:
תוכנה, מהנדס תמיכה, הנדסה, מהנדס תמיכה, ניהול ביניים, Senior Full Stack Developer, Senior Full Stack Developer
סוג/היקף המשרה:
משרה מלאה
לחברה טכנולוגית בבאר שבע דרוש/ה Product-Oriented Senior FullStack Developer עם אוריינטציית AI
התפקיד כולל פיתוח מערכות ומוצרים מקצה לקצה ( frontend + backend ) פיתוח פיצרים חדשים משלב האפיון ועד העלאה לפרודקשן עבודה עם טכנולוגיות AI וכלי AI Coding מתקדמים עבודה מול ממשקי Product, UX / UI וצוותי הפיתוח שיפור ביצועים, יציבות וסקיילביליות של המערכת כתיבת קוד איכותי, ביצוע Code Review ושמירה על סטנדרטים מקצועיים השתלבות בתהליכי פיתוח Agile ובסביבת עבודה מהירה ודינמית דרישות: * תואר בהנדסת תוכנה / מערכות מידע * ניסיון של 3 שנים לפחות בפיתוח FullStack * ניסיון משמעותי ב- backend וב- frontend * ניסיון בעבודה עם React * ניסיון בפיתוח (Server Side ( Node.js / PHP * הבנה מערכתית ויכולת עבודה עצמאית גבוהה * ניסיון בעבודה מול APIs ומערכות מורכבות * יכולת למידה מהירה וכניסה לטכנולוגיות חדשות * עצמאות ויכולת הובלה תוך עבודה בסביבה דינמית משתנה יתרונות משמעותיים: - ניסיון בעבודה עם AI / LLMs - עבודה עם כלי AI Coding Assistants - ניסיון עם RAG / Agents - ניסיון בעבודה בסביבת Cloud - ניסיון בהובלת פיצרים או תהליכים טכנולוגיים - היכרות עם סביבות Production פעילות המשרה מיועדת לנשים ולגברים כאחד. |
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Technical Project Manager Mon, 25 May 2026 08:18:00 GMT
מיקום המשרה:
תחומי המשרה:
תוכנה, מנהל פרויקטים בתוכנה
סוג/היקף המשרה:
משרה מלאה
Technical Project Manager – Cloud Division abra’s Cloud Division is looking for a mid-level Technical Project Manager to lead cloud-related projects for internal teams and external customers. We are looking for a technically oriented project manager to lead cloud project delivery, drive alignment across teams, and ensure successful execution across AWS and Microsoft Azure environments. The role includes managing end-to-end project delivery, coordinating between cloud architects, engineers, customers, and business stakeholders, tracking timelines and risks, leading meetings and follow-ups, and building clear project routines within the division. We are looking for a strong people person-someone who can build trust, engage teams, drive alignment, and move projects forward without direct authority.
Requirements: * 3–5 years of experience in technical project management, delivery, infrastructure, cloud, IT operations, DevOps, professional services, or similar. * Technical background or strong technical orientation. * Proven experience using project management tools such as Jira, Monday.com, or similar platforms to manage tasks, timelines, dependencies, and project visibility. * Experience working with engineers, architects, customers, and cross-functional stakeholders. * Strong communication, ownership, organization, and follow-up skills. * Ability to manage multiple projects simultaneously. * Hebrew and English fluency. Advantages: * Experience with AWS and/or Microsoft Azure. * Experience in cloud migration, infrastructure, managed services, or professional services. * Experience in a customer-facing technology environment. * Relevant certifications such as AWS Cloud Practitioner, Azure Fundamentals, PMP, CAPM, or Scrum Master. This is a great opportunity for a technically minded project manager who wants to grow in the cloud world and take a meaningful role in shaping delivery processes inside a leading cloud division. This position is open to all candidates. |
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Product Manager, Data Export Sun, 24 May 2026 19:52:00 GMT
מיקום המשרה:
הרצליה
תחומי המשרה:
תוכנה, מהנדס מחשבים, אינטרנט ודיגיטל, הנדסה, מהנדס מחשבים, מנהל מוצר - תוכנה, מנהל מוצר - אינטרנט, מוצר, Product Manager
סוג/היקף המשרה:
משרה מלאה
We're looking for a Product Manager to own all of data export products end-to-end. This is a hands-on role with high customer exposure: you'll work directly with enterprise clients to understand their data access needs, partner closely with internal stakeholders across the organization, and ship improvements across multiple product surfaces in parallel. If you thrive on juggling priorities, communicating clearly across audiences, and turning customer feedback into shipped products, this role is for you.
What you'll do: Own all of data export products throughout their lifecycles, from discovery and definition through delivery, adoption, and iteration Partner directly with enterprise customers and internal stakeholders to understand data export pain points and translate them into clear requirements Prioritize effectively across multiple product surfaces and competing stakeholder needs Drive cross-functional alignment with engineering and business teams to deliver high-quality features on time Define and communicate product roadmap, trade-offs, and decisions clearly, both to internal teams and customer-facing audiences Continuously improve usability, reliability, and documentation based on customer feedback and usage data Strengthen and expand data export products as the foundation for customers' AI and advanced analytics initiatives by ensuring we deliver the right data, in the right format, at the right cadence Requirements: 3-5 years of experience as a Product Manager Bachelor's degree in a technical field such as Computer Science or Engineering, or equivalent practical experience Experience working on user-facing B2B products and services Excellent English communication skills, written and verbal, with comfort presenting to customers and internal stakeholders Experience managing multiple concurrent workstreams with competing priorities Experience working closely with customer-facing teams and incorporating their input into product decisions Familiarity with data pipelines, APIs, or SaaS data infrastructure Strong execution skills with the ability to mobilize cross-functional teams Team player with a "can-do" approach: takes ownership, acts with urgency, operates independently Bonus Points: Practical knowledge of digital marketing and advertising technologies Experience as a Data Analyst, Data Engineer, BI Engineer, or similar Experience with Big Data technologies and infrastructure Experience with data export, ETL, or data delivery products This position is open to all candidates. |
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Senior Product Manager - Analytics Sun, 24 May 2026 19:44:00 GMT
מיקום המשרה:
הרצליה
תחומי המשרה:
תוכנה, Data Scientist, מוצר, ניהול ביניים, Senior Product Manager, Senior Product Manager
סוג/היקף המשרה:
משרה מלאה
We are looking for a Senior Product Manager to join our Analytics team within the Measurement group. In this role, you will own a core analytics domain used daily by global advertisers to measure, interpret, and optimize their marketing performance. You will work at the intersection of large-scale data, attribution complexity, privacy-driven measurement changes, and AI-powered capabilities - shaping how customers understand and rely on their marketing data.
This is a high-impact, highly visible role with direct influence on customer trust, product strategy, and the evolution of AppsFlyers analytics platform. What youll do: Own a core Analytics domain end-to-end - from discovery and strategy definition to execution, launch, and continuous improvement. Define and drive the roadmap for dashboards, metrics, and data experiences serving enterprise marketing teams. Balance stability, scalability, and innovation in a complex, data-intensive environment. Lead initiatives that modernize and consolidate analytics capabilities across multiple attribution sources. Shape the integration of AI-powered capabilities into analytics experiences, enhancing how customers interpret performance data. Work closely with R&D (Backend, Frontend, Data Engineering) to build scalable, high-performance analytics products. Partner with Sales and Customer Success to understand customer needs, support adoption, and strengthen trust in our measurement solutions. Engage directly with customers to validate product direction and identify opportunities to improve clarity, usability, and performance insights. Drive prioritization in a high-demand environment with multiple stakeholders and competing initiatives. Requirements: 5+ years of product management experience, ideally in data-heavy B2B SaaS environments. Proven experience building and scaling analytics, BI, or data-driven products. Strong analytical mindset with the ability to define KPIs, interpret data, and use data to guide product decisions. Experience working closely with engineering and data teams on complex, scalable systems. Ability to operate in ambiguity and structure complex problem spaces. Strong stakeholder management skills and experience working cross-functionally in large organizations. Excellent communication skills, with the ability to explain complex analytical concepts clearly to technical and non-technical audiences. Experience in AdTech, marketing analytics, attribution, or mobile measurement - strong advantage. Bonus points Familiarity with attribution models, SKAN, privacy-related measurement challenges. Experience consolidating legacy systems or leading platform modernization efforts. Experience integrating AI or automation into analytics workflows. Technical background in analytics, data science, or engineering. This position is open to all candidates. |
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Senior Support Engineer Sun, 24 May 2026 19:38:00 GMT
מיקום המשרה:
הרצליה
תחומי המשרה:
תוכנה, מהנדס תמיכה, הנדסה, מהנדס תמיכה
סוג/היקף המשרה:
משרה מלאה, לדוברי אנגלית
We are looking for a Senior Support Engineer to join our Israel-based support team. This role is critical to maintaining excellent service for our English and Hebrew-speaking customers, handling complex technical and customer-facing issues independently, and helping the team adapt to the next generation of AI-enabled support workflows.
The ideal candidate is a strong hands-on problem solver, an excellent communicator in Hebrew and English, and a senior team player who can elevate team quality, partner closely with leadership, and contribute to improving our internal tools, AI-based workflows, and support processes. This is a hands-on senior individual contributor role with broad impact. In addition to resolving complex customer issues end to end, this person will help shape how support operates in an evolving environment that increasingly includes automation and AI-assisted workflows and tools. What youll do: Own complex technical and product-related support cases from investigation through resolution. Provide high-quality support to customers in Hebrew and English across written and live interactions. Handle ambiguous, high-impact, or cross-functional issues with strong judgment and minimal supervision. Act as a senior point of contact for escalations, sensitive customer situations, and priority cases. Mentor teammates by sharing knowledge, setting a high bar for case handling, and helping improve team practices. Use AI-based tools and internal tools effectively in day-to-day work to improve speed, quality, and consistency. Help to define, maintain and improve support agents, AI-assisted tools, bots, workflows, automations and documentation to improve support effectiveness. Identify opportunities to reduce friction, improve self-service, and optimize internal support flows. Collaborate with Product, R&D, Customer Success, TPE, and other internal stakeholders to resolve issues and improve the customer experience. Requirements: 5+ years of experience in technical support, support engineering, or similar customer-facing technical roles in a SaaS or technology environment. Strong troubleshooting and problem-solving skills, with the ability to work through complex cases independently. Strong SQL skills and experience writing complex queries for investigation and troubleshooting. Experience working with logs and performing deep technical and data analysis. Experience working with APIs, including reading documentation, testing requests, and troubleshooting integrations. Excellent written and verbal communication skills in Hebrew and English. Ability to manage ambiguity, prioritize effectively, and maintain sound judgment under pressure. A proactive, ownership-driven mindset with a strong focus on customer impact. Comfort using AI tools in daily workflows, with curiosity about how automation and AI-assisted work can improve support. Willingness to test new tools, challenge existing processes, and help the organization learn how to work better with AI. Bonus Points: Familiar with the Ad Tech industry Introduced by an AppsFlyer employee This position is open to all candidates. |
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Principal Architect Sun, 24 May 2026 16:41:00 GMT
מיקום המשרה:
ירושלים
תחומי המשרה:
תוכנה, ארכיטקט מערכת תוכנה, ניהול ביניים, Senior Software Architect, Senior Software Architect, Principal Engineer
סוג/היקף המשרה:
משרה מלאה, עבודה היברידית
As the Principal Architect at our company, you will serve as the technical authority for the architecture and infrastructure of our platform. This is a hands-on, individual contributor role with no people management duties, working closely with the Software Engineering Lead.
You will define, evolve, and personally implement system architecture, cloud infrastructure, and operational tooling. This role requires deep technical expertise across cloud platforms, distributed systems, and CI/CD, along with strong judgment, clear communication, and a bias toward execution. This role requires someone who thrives in complexity, communicates clearly, and balances technical rigor with practical delivery. The Principal Architect is expected to take ownership of initiatives from concept through implementation, deployment, documentation, and handoff. This is not a primarily advisory or review-only role - hands-on delivery is expected. What you'll do Hands-On Development Contribute production-quality code primarily in Python and Java across services, pipelines, and infrastructure tooling. Actively implement the architectural patterns, systems, and integrations you design - not delegate them. Build and iterate on prototypes, proof-of-concepts, and production components end-to-end. Investigate and resolve complex production issues across distributed systems and cloud environments. Review and maintain code across repositories as a GitHub maintainer, enforcing architectural consistency. AI Execution Design and implement AI-powered features, from prototyping through production deployment and monitoring. Architect systems that integrate LLMs (e.g., OpenAI, Anthropic, Gemini) into product workflows, including context management, retrieval pipelines, and output validation. Build and maintain retrieval-augmented (RAG) and agent-based systems using modern frameworks (e.g., LangChain or equivalent). Design model hosting and inference patterns on AWS (e.g., Bedrock, SageMaker, Lambda-based endpoints). Establish evaluation and observability patterns for AI systems, including latency, output quality, and failure handling. Contribute to the evaluation and adoption of AI platforms, tools, and AI-driven development workflows to improve team productivity דרישות: Education: Bachelors degree in Computer Science, Engineering, or related field OR equivalent deep practical experience. Experience & Skills: 5+ years of professional software engineering experience, including significant architectural responsibilities. Proven track record of hands-on delivery - consistently writing and shipping production code, not just designing systems Expert-level understanding of AWS (ECS, Lambda, networking, IAM, API Gateway, scaling strategies). Strong experience with CI/CD pipelines, containerization, infrastructure-as-code, and automated deployments. Proficiency in Python for systems, services, and tooling development. Strong understanding of distributed systems, microservices architecture, and message brokers (e.g., SQS, Kafka, RabbitMQ). Experience designing for scalability, reliability, resilience, and cost efficiency. Hands-on experience with APM tooling (e.g., New Relic, Datadog, OpenTelemetry, etc.). Strong API design and integration experience, with a focus on operational best practices. Experience integrating AI/LLM capabilities into applications (e.g., APIs, workflows, or internal tools). Regular use of AI-assisted development tools (e.g., GitHub Copilot, Cursor) to improve engineering productivity Proven ability to create effective diagrams, architecture maps, and system documentation. Comfortable with GitHub maintainership, code review, repository ownership, and release processes. Ability to work independently with high trust, full-production-access responsibilities, and strong ethics. Excellent communication skills and a collaborative, mature, and solutions-oriented mindset.#E המשרה מיועדת לנשים ולגברים כאחד. |
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Manager, Field Engineering Israel Sun, 24 May 2026 16:32:00 GMT
מיקום המשרה:
הרצליה
תחומי המשרה:
תוכנה, ניהול תוכנה, מערכות מידע, מנהל פרויקטים במערכות מידע, מנהל פיתוח
סוג/היקף המשרה:
משרה מלאה
As a Field Engineering Manager, you will lead a team of technical pre-sales Solutions Architects and Solutions Engineers in Israel. Your experience partnering with the sales organization will help drive revenue with the right approach whilst coaching sales and pre-sales teams to work together.
You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions, support complex sales cycles, and build relationships with important partners in large corporations. The impact you will have: Hire, mentor and grow the pre-sales team in Israel Build a motivated collaborative culture within a hyper-growth team to embody and promote Databricks customer-obsessed, teamwork and diverse culture Support increased return on investment of SA involvement in sales cycles Ensure a solution and value-based selling within the field-engineering organization Display an understanding of needs and revenue potential for accounts in the assigned region Engage with key customer executives to build and strengthen strategic partnerships Ensure close alignment with partners and internal services to secure implementation strategies within accounts Continue to build Databricks' brand as a member of the Leadership team in partnership with Marketing and Sales teams across the region Requirements: What we look for: Experience managing a team of successful Big Data, Cloud, or SaaS professionals Experience in consumption based business environments Have experience mentoring and scaling technical teams Success in instituting processes for technical field members to lead efficiency and product focus Ability to partner and collaborate with Sales and other cross-functional leaders Passionate about data and AI market and Cloud software models and being able to deliver a strong POV on the value of Databricks solutions Technical or consulting background either in Data Engineering, Database technologies or Data Science Strong communication skills. Hebrew native-speaker and fluent in English. This position is open to all candidates. |
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AI-first Software Engineer Sun, 24 May 2026 16:28:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, מהנדס תוכנה, הנדסה, מהנדס תוכנה, AI, AI Engineer, AI Engineer
סוג/היקף המשרה:
משרה מלאה
We are looking for an AI-first Software Engineer who is highly product-oriented and excited about building customer-facing systems using modern AI tooling to dramatically increase development speed and operational automation.
What youll do? Build and ship end-to-end product features (backend, frontend, integrations, automation). Use AI tools and build the AI infrastructure to accelerate development through scalable workflows, including multi-agent approaches. Build AI agents that fully automate customer-facing sales and service flows, in a business with a massive volume of textual interactions. Requirements: What were looking for? Strong software engineering fundamentals (from coding to system design). Strong product and customer mindset, you care about UX, edge cases, and real user outcomes. Deep proficiency with AI development tooling and a passion for using AI as a true productivity multiplier. Ownership mentality and the ability to execute independently within a small team. This position is open to all candidates. |
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Senior Full-stack Software Engineer Sun, 24 May 2026 16:21:00 GMT
מיקום המשרה:
פתח תקווה
תחומי המשרה:
תוכנה, ניהול ביניים, Senior Backend Developer, Senior Full Stack Developer, Senior Backend Developer, Senior Full Stack Developer
סוג/היקף המשרה:
משרה מלאה
We are seeking an experienced and passionate Senior Full-stack Software Engineer to join our dynamic team. In this role, you will support the development effort of a full-stack team and guide and mentor the other team members. The ideal candidate combines strong technical expertise in modern frontend frameworks with solid backend knowledge, enabling you to guide the team end-to-end. You will play a key role in driving team velocity, fostering best practices, and delivering reliable, scalable, and user-centric applications.
Responsibilities: Guide the team in building scalable, reliable applications using cloud infrastructure. Share knowledge and best practices across the R&D department. Support backend development efforts in Golang and Node.js Support frontend development efforts with React & TypeScript Drive continuous improvement in team velocity and delivery quality. Coordinate with cross-functional teams to align development efforts. Partner with product managers, designers, and backend/core teams to deliver seamless user experiences. Contribute to company-wide technical initiatives. Collaborate on design and implementation of new features and services. Requirements: Bachelors degree in Computer Science, Engineering, or a related field. 5+ years of experience as a software developer. Backend experience in Go/Node/Python Experience with AWS or other cloud platforms. Familiarity with CI/CD and modern DevOps practices is a plus. Proficient in English. Excellent communication and cross-team collaboration skills. Preferred: Education: Bachelors degree in Computer Science or a related technical field. This position is open to all candidates. |
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Sales Development Representative- USA Sun, 24 May 2026 16:20:00 GMT
מיקום המשרה:
פתח תקווה
תחומי המשרה:
תוכנה, מכירות, איש מכירות בינלאומי, SDR /BDR
סוג/היקף המשרה:
משרה מלאה
we are seeking a motivated and results-driven Sales Development Representative (SDR) to join our dynamic team in the USA. In this role, you will be instrumental in driving growth by identifying and developing new business opportunities, qualifying leads, and setting appointments for our sales team. As an SDR, you will utilize your excellent communication and interpersonal skills to build relationships with potential clients and contribute to the overall success of our company innovative solutions.
Responsibilities: Identify and research potential leads through various channels including social media, online platforms, and networking events. Qualify leads by conducting initial outreach via phone calls, emails, and social media to assess their needs and interests. Schedule meetings for the sales team with qualified leads to drive the sales process forward. Maintain accurate records of lead interactions and sales activities in the CRM system. Collaborate with the sales and marketing teams to develop effective outreach strategies. Meet and exceed monthly and quarterly lead generation targets. Provide feedback to improve the sales process and lead generation strategies. Requirements: Bachelor's degree in Business, Marketing, or a related field. Minimum of 1-2 years of experience in a sales development or lead generation role. Strong communication skills, both verbal and written, with the ability to engage potential clients effectively. Proficiency in using CRM software and sales tools to track leads and manage customer relationships. Ability to work independently and as part of a team in a fast-paced environment. Demonstrated problem-solving skills and a proactive approach to lead generation. This position is open to all candidates. |
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AI/ML Applied Researcher - Insights & Recommendations Sun, 24 May 2026 15:32:00 GMT
מיקום המשרה:
תל אביב יפו, חיפה
תחומי המשרה:
תוכנה, חשמל ואלקטרוניקה, מהנדס חשמל, מדעים מדוייקים, פיזיקאים, מתמטיקאים, הנדסה, מהנדס חשמל, NLP/Machine Learning, AI, חוקר בינה מלאכותית
סוג/היקף המשרה:
משרה מלאה, עבודה היברידית
we are looking for a AI/ML Applied Researcher.
As AI Applied Scientist, youll be at the intersection of advanced technology and meaningful impact with clear business cases. You will have access to real-time (RT) big data from multiple Sensors & Data sources, and a chance to discover, explore, research, and develop cutting-edge solutions that directly impact industrial manufacturers around the globe. As part of the Applied AI/ML Science team, you will have the opportunity to continuously grow and learn while building and deploying advanced models directly into our products, and stay at the forefront of the technologies in the world, witnessing firsthand their impact on our customers. A Day In Your Life: Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models. Research, design, and build anomaly classification, predictive, insights, recommendations, and other types of models from various data sources, including sensor time-series data, textual data, images, and more. You will Ensemble multi-modalities by exploiting and enriching the most from our data collections platform and feature extraction and store phases, using classic statistical methods, deep learning, Transformers, Graphs, Foundations Modules (as TSFM, Graph Transformer, TGNN), and any available technology to extract recommendations for taking real-world, life-changing actions. Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data. Work with cloud-based big data platforms for training, distributed processing & experiments tracking (e.g., Metaflow, Grafana, Outerbounds, Databricks). Partnering and contributing to modern technologies: LLMs and agents (GPT, Claude, Gemini), defining & building Gurdrails, reasoning chain as function call, planning, ML-based vectorization and embeddings, and stream analysis. As part of our hybrid working policy, you will be expected to work from the office at least twice weekly, which includes at least one day in Haifa. Requirements: M.Sc., or Ph.D. in Electrical Engineering, Computer Science, Physics, Mathematics, or a related field. 4+ years of experience in ML applications, including research on time-series data, ML-based vectoring, and Embeddings (as Transformers, TGNN, TSFM, Graph Transformer, GNN, CNN, etc.) Proficiency in Python (Pytorch, Pandas, NumPy, PyG - nice to have), and Applied Science SDLC - Discovery, Research, development, fidelity, deployment, monitoring, Training, and fine-tuning Experience in anomaly detection, abnormal behavior, outliers, pushing recall, precision, and tail metrics KPIs boundaries Experience working with ML infrastructure such as MLFlow, Vertex AI, Sagemaker etc. The ability to translate research into scalable, production-ready solutions. Experience working on Agile teams with a passion for fast iterations, feedback, and continuous learning. Proven ability to collaborate with diverse, cross-functional groups, including product managers, infrastructure, and data engineering teams. Experience in feature engineering-based signal processing - a big advantage. This position is open to all candidates. |
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Experienced AI Software Engineer Sun, 24 May 2026 15:29:00 GMT
מיקום המשרה:
חיפה
תחומי המשרה:
תוכנה, מהנדס תוכנה, הנדסה, מהנדס תוכנה, מהנדס תוכנה בכיר, AI, AI Engineer, AI Engineer
סוג/היקף המשרה:
משרה מלאה, עבודה היברידית
You are a Senior AI Software Engineer looking to join a GenAI Infrastructure team and build production-grade GenAI capabilities and the infrastructure behind them. You will be a hands-on engineer focused on AI agents, RAG pipelines, tool-calling workflows, backend services, data access layers, evaluation, observability, and reusable GenAI infrastructure used across product teams. You will not be focused solely on model research or prompt design. Instead, you will be a strong software engineer who can design, build, ship, and operate reliable AI-powered systems in production.
A Day In Your Life Build reusable infrastructure, SDKs, and internal frameworks for AI-powered product capabilities. Design and implement AI agents, RAG flows, tool-calling workflows, and LLM orchestration pipelines. Build production-grade GenAI services, APIs, and backend infrastructure. Integrate LLM workflows with internal microservices, data platforms, vector search, and event-driven systems. Design secure data-access patterns that enforce authorization, tenant separation, and user-level scope. Implement evaluation, tracing, monitoring, and quality-control mechanisms for GenAI systems. Improve latency, reliability, fallback behavior, cost efficiency, and production readiness. Work on customer-facing AI experiences, including conversational and proactive agentic product flows. Collaborate with backend engineers, product managers, data engineers, AI/ML engineers, and domain experts. Requirements: 6+ years of professional software engineering experience. Strong Python development skills. Strong backend engineering background, including APIs, services, integrations, or microservices. Proven experience designing, shipping, or operating LLM-powered applications or GenAI systems. Experience with RAG, AI agents, tool/function calling, prompt orchestration, evaluation, and observability. Experience with microservices, distributed systems, and production backend architecture. Strong understanding of system design, reliability, security, scalability, latency, and maintainability. Ability to work with complex data models and expose them safely through AI systems. Ability to operate in ambiguous technical areas and turn prototypes into production-ready systems. Strong communication skills and ability to explain technical decisions clearly. Preferred Qualifications: Experience with LangChain, LangGraph, or LangSmith. Experience with Go, MongoDB, Databricks, Kubernetes, Docker, REST APIs, vector search, or event-driven systems. Experience with Azure OpenAI, Gemini, or similar LLM platforms. Experience building or using knowledge graphs, GraphRAG, or graph databases such as Neo4j. Experience building multi-agent systems or orchestrating multiple specialized agents/tools in production. Experience building internal platforms, SDKs, developer tools, or shared engineering infrastructure. Experience with authorization, data segregation, multi-tenant systems, or user-level data scoping. Experience in industrial, IoT, predictive maintenance, manufacturing, or operational-data domains. This position is open to all candidates. |
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IoT Embedded Linux Engineer Sun, 24 May 2026 15:25:00 GMT
מיקום המשרה:
חיפה
תחומי המשרה:
תוכנה, מחשבים ורשתות, מתכנת ++C, מתכנת C, איש לינוקס Linux, מהנדס תוכנה Embedded
סוג/היקף המשרה:
משרה מלאה, עבודה היברידית
Were looking for an IoT Embedded Linux engineer to design, build, and own the software stack that powers our edge devices in the field. Youll craft resilient Linux-based systems (from bootloader to application), ensure secure and reliable connectivity to the cloud, and work closely with hardware, manufacturing, and backend teams to deliver production-ready devices at scale.
A Day In Your Life : Own the embedded Linux platform: BSP, kernel configuration, device tree, bootloaders (e.g., U-Boot), systemd services, and startup/upgrade flows. Develop user-space applications using object-oriented principles (C++/Go/Rust/Similar) to implement core device logic and features, leveraging available libraries and frameworks. Build production images using Yocto or Buildroot, manage layers/recipes, and maintain reproducible builds for multiple hardware variants. Implement secure OTA updates (e.g., Mender, RAUC, SWUpdate), with A/B partitions, rollback, and signing-targeting zero‑touch fleet upgrades. Harden devices for security: filesystem permissions, sandboxing (e.g., AppArmor/SELinux), secure boot/TPM, key management, CVE tracking, and update policies. Deliver robust connectivity: Ethernet/Wi‑Fi/Cellular (LTE), BLE gateway roles, MQTT/HTTPS, VPN/WireGuard; optimize reliability, roaming, and reconnection logic. Instrument and debug in the field: journald, core dumps, remote shell, metrics/health checks; trace with strace/perf/tcpdump and diagnose with Wireshark. Collaborate across disciplines: work with HW, manufacturing, QA, backend, and product to define requirements, provisioning flows, and factory test automation. Raise the bar on quality: CI/CD for cross‑compilation, unit/integration tests, static analysis, reproducible builds, and fleet-safe release practices. Requirements: 3-5 years of Embedded Linux experience shipping devices to production at scale. Strong proficiency in object-oriented programming (OOP) principles and multi-threading experience, with hands-on skills in C/C++/GO/Rust/Similar in user space (some kernel familiarity) and scripting (Bash, Python); expertise with build systems (CMake/Make, BitBake). Hands-on with Buildroot or Yocto Project (preferably Buildroot), including custom layers, recipes, and SDKs. Solid understanding of Linux kernel basics, device trees, drivers/BSP integration, bootloaders (U‑Boot), and systemd service design. Networking fundamentals: TCP/IP, DHCP/DNS, TLS, MQTT/HTTPS, VPN; experience with Wi‑Fi/cellular modules and AT command stacks is a plus. Proven experience with OTA frameworks, partitioning strategies, and rollback-safe update flows. Git fluency and experience with CI (GitHub Actions, GitLab CI or similar) for cross builds and test automation. BSc in EE/CE/CS (or equivalent practical experience). Nice to have Device security: secure boot, TPM, disk encryption, SBOM/CVE remediation workflows. Real-time and performance: PREEMPT_RT, scheduling, latency tuning, power management. Edge packaging: containers (Docker/Podman) on ARM, OCI/CRUN, rootless strategies. Cloud & IoT: AWS IoT/Azure IoT, device identity/provisioning, fleet management tooling. Language breadth: Go or Rust for system services; protobuf/gRPC. Manufacturing flows: factory provisioning, E2E traceability, and end-of-line testing. This position is open to all candidates. |
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Senior Technical Services Engineer Sun, 24 May 2026 15:20:00 GMT
מיקום המשרה:
תל אביב יפו
תחומי המשרה:
תוכנה, מהנדס תמיכה, מחשבים ורשתות, הנדסה, מהנדס תמיכה, Tier 3 תומך/ת טכני/ת, Tier 4 תומך/ת טכני/ת
סוג/היקף המשרה:
משרה מלאה
We are looking for an experienced Senior Technical Services Engineer to join our dynamic team based in Israel. You will play a critical role in ensuring the smooth operation of our technical infrastructure and product flows. Your responsibilities will include providing tier 3 technical support for escalated issues, taking charge of building monitors, maintaining continuous vigilance over the production environment, and taking the lead in coordinating incident response efforts across different departments.
A day in the life and how youll make an impact: Lead cross-functional efforts to identify, analyze, and address intricate technical challenges, fostering seamless collaboration between various support teams and engineering units. Additionally, assume responsibility for addressing complex support tickets and ensuring adherence to stringent SLAs, all while maintaining a commitment to meeting service level objectives. Lead cross-functional efforts to tackle complex technical challenges, ensure smooth collaboration between support and engineering teams, handle complex support tickets, and meet SLAs. Continuously monitor diverse processes across our systems, proactively identifying potential issues before they escalate. Additionally, engage in thorough research of issues arising from these monitoring activities and collaborate closely with the R&D team to develop effective resolutions. Simultaneously, contribute to ongoing improvements to our monitoring systems to elevate their efficacy and reliability. Monitor system processes to spot potential issues early, research problems, collaborate with R&D for solutions, and enhance our monitoring systems. Take an active role in incident management efforts while also contributing to continuous improvements in R&D processes. Diligently track key metrics and maintain proactive oversight to ensure sustained optimization. Develop monitoring tools and drive process improvement initiatives to ensure smooth system operations and enhanced operational efficiency. Requirements: 5+ years of experience in Tier 3/4 Technical Support, Production Engineering, or a highly technical SRE-adjacent role. A strong technical background with proven experience in troubleshooting and debugging complex issues. Troubleshooting Specialist: Expert at using debugging tools, browser dev tools, Postman, and log aggregators (Datadog/Splunk/ELK). Experience in incident management, including leading cross-domain incident management efforts. SQL Expert: Strong proficiency in SQL with experience handling complex relational databases in a production setting. Proactive approach, taking the initiative to start processes and spot potential issues before they come up Proven ability to read and understand code (JS/TypeScript/Python) to assist in bug isolation. Incident Management: experience with managing the lifecycle of production incidents. Communication: English and Hebrew; ability to translate complex technical "noise" into clear, actionable signals for R&D. Ability to thrive in a fast-paced, dynamic environment. Bonus points: Experience in the Fintech industry (understanding of ledgers, payments, or clearing). Familiarity with AWS Lambda and serverless architecture. Prior experience as a Software Developer who transitioned into high-level support/production engineering. This position is open to all candidates. |