לוח משרות דרושים הייטק תוכנה בירושלים וסביבתה

Help shape how AI data centers are powered. At our company, we're a global leader in smart energy technology, with over 3,000 employees, offices in more than 20 countries, and millions of installations worldwide. we are expanding its innovation into the fast-growing world of AI data -center power infrastructure. Building on our leadership in solar, Storage, and power electronics, we are creating a next-generation Power Ecosystem - integrating Solid-State Transformers (SST), Battery Energy Storage Systems (BESS as UPS), and advanced power-conversion platforms designed for the AI era. What you will be doing:
* You will develop high-quality code solutions for energy management devices and systems.
* You will design, develop and verify Embedded SW, both in low level and system level.
* You will work with adjacent teams such as hardware, integration, support and ATE
Country:
Israel
City:
Modiin

A leading technology company developing advanced Cyber security solutions for Embedded platforms is seeking an experienced DevOps Engineer to join a multidisciplinary team.

we are Hiring a Tableau Developer  to design, build, and maintain dashboards and reports that drive data -driven decisions across the organization. Youll work with cross-functional teams SQL data warehouses, and Tableau to turn business requirements into actionable insights. Responsibilities:
* Design, develop, and maintain interactive Tableau dashboards and visualizations
* Translate business requirements into clear and insightful data visualizations
* Write and optimize SQL queries for data extraction and analysis
* Work with data warehouses ( DWH ) and large-scale datasets
* Connect Tableau to multiple data sources and ensure data accuracy and performance
* Collaborate with data engineers, analysts, and business stakeholders

Welcome. We are 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.

Were looking for an Applied Data Scientist to help us build and scale the core marketing science products that power our platform. This role sits at the intersection of data science and engineering: owning statistical models end to end, deploying them into production, and turning advanced analytics into reliable, customer‑facing capabilities. Your work will directly influence how thousands of brands measure ROI and allocate millions in marketing spend.

What Youll Do:
Build marketing measurement and optimization products (e.g., attribution models, MMM, incrementality testing, forecasting systems)
Develop and deploy statistical and machine learning models to production
Create scalable data pipelines and APIs that serve real-time analytics
Partner closely with Product, Engineering, and other stakeholders to translate business questions into clear analytical solutions.
Own features end to end from statistical design and validation through deployment, monitoring, and iteration.

Were at a pivotal stage: strong product-market fit, rapidly growing adoption, and ambitious plans to scale our platform significantly. As our product expands, the complexity of our data, integrations, and infrastructure grows with it - and thats where you come in. We need a hands-on backend engineer to help us build and scale the systems that power our data platform: integrating new providers, strengthening our data pipelines, ensuring data accuracy at scale, and evolving our infrastructure to support the next phase of growth. This role is critical to turning momentum into long-term impact, helping shape a product thats already proven its value and is now ready to scale fast and far.

What Youll Do:
Backend, hands-on development, building and maintaining server-side systems at scale.
Integrate data from a wide range of external platforms and providers into the data warehouse, working with diverse APIs and data formats.
Design, build, and operate data pipelines, with a deep understanding of data flow from fetching to ingest to final data house.
Own and maintain integrations with external data providers, including API communication and operational reliability.
Work on systems that handle real-world infrastructure challenges, including rate limiting, state management, data consistency, and scalability.
Work with analytics- and matrix-oriented data structures, writing efficient, reliable code to process and transform data.
Monitor, investigate, and resolve data mismatches.
Define and evolve database schemas, ensuring performance, clarity, and long-term maintainability.

We're looking for a Data Engineer with 4+ year experience to join our Data Engineering team and help us build and scale our production-grade data platform. You'll work on high-performance systems built on self-hosted ClickHouse, optimize complex data pipelines, and collaborate closely with Product, Analytics, and Infrastructure teams to deliver reliable, fast, and scalable data solutions.

This is a hands-on technical role where you'll have a significant impact on how we ingest, model, store, and serve data that powers our analytics and AI-driven products.
Youll play a key role in shaping the direction of our data platform and have meaningful ownership over critical components of our architecture.

What You'll Do:
Data Modeling & Architecture
Design and evolve data models that reflect business logic and support analytical use cases
Collaborate with the BI and Analytics teams to understand data requirements and translate them into efficient schemas
Performance Optimization
Optimize ClickHouse schemas, partitioning strategies, indexing, and compression
Profile and tune slow queries to improve performance and reduce costs
Implement systems that ensure data quality, consistency, and operational efficiency (e.g., deduplication, validation, anomaly detection)
Monitor pipeline health, data freshness, and query performance with appropriate alerting mechanisms
SQL Compiler Development
Develop and maintain the SQL Compiler layer that translates high-level queries into optimized ClickHouse execution plansImplement query optimization and rewriting strategies to improve performanceDebug and resolve compiler issues to ensure accurate and efficient query translation

Data Pipeline Development & Collaboration
Review and advise the Integration team on pipeline architecture, performance, and best practices.
Provide guidance on data modeling, schema design, and optimization for new data sources.
Troubleshoot and maintain existing pipelines when issues arise or optimization is needed
Ensure data freshness, reliability, and quality across all ingestion pipelines.
Collaboration & Support
Work closely with the Integration team to ensure smooth data ingestion from new sources.
Partner with Infrastructure to support high availability and disaster recovery
Support other teams across the company in accessing and using data effectively.

t. As our products grow in complexity and usage, we need engineers who can think in systems, build reusable foundations, and ensure performance and quality remain high across the entire UI. Your experience building well-architected, high-performance frontend components will directly impact how quickly teams can ship, how consistent our products feel, and how confidently we can continue to innovate at scale.

What Youll Do:
Build and maintain shared frontend foundations used across products, with a strong focus on scalability, performance, and long-term maintainability.
Build, document, and maintain a shared UI components library used across products.
Develop high-performance data visualization components and reusable interface patterns.
Collaborate with design and product teams to transform Figma designs into functional React components.
Take ownership of projects and collaborate effectively across teams to deliver production-grade UI solutions.
Participate in the modernization and technical health of the frontend by refactoring, improving architecture and state management, enforcing code quality standards, and continuously optimizing rendering, bundling, and build workflows
Leverage AI tooling to assist with frontend development workflows, including code generation and refactoring, performance analysis and design-to-code alignment, while applying strong engineering judgment to review and productionize results.

Were looking for an experienced and highly motivated Full Stack Engineer to join our Billing Team.

billing platform supports paying customers, making it a mission-critical system at the core of our business. The Billing team is responsible for implementing pricing and packaging decisions, ensuring they are accurately and reliably reflected across our billing infrastructure. This role is highly execution-focused and closely tied to Sales and Customer Success enablement, building and maintaining back-office systems that support day-to-day operations and scale with the business. A significant portion of the work involves integrating with and maintaining workflows in HubSpot, helping ensure smooth, consistent, and efficient revenue processes. If you enjoy hands-on implementation, operational impact, and building systems that directly support revenue and go-to-market teams, this role offers meaningful, visible ownership.

What You'll Do:
Design, develop and maintain features used across multiple teams.
Build and maintain cross-team systems that support scalability, reusability, and consistency.
Develop and evolve shared UI infrastructure and internal tools.
Collaborate with product and engineering teams to identify platform needs and deliver high-impact solutions.
Ensure code quality, scalability, and performance across all layers of the stack.
Write clean, testable, and maintainable code following best practices.
Provide occasional evening support (e.g., responding to Slack inquiries when needed).

Were looking for a hands-on Full Stack Client Oriented Developer who also has a strong backend mindset and is excited to build, improve, and scale customer-facing features end to end. As we expand our web app and introduce new onboarding experiences, we need someone who enjoys diving into existing code, fixing bugs, refactoring thoughtfully, and building new features that customers touch every day.

This role is about turning complexity into clarity for our users and for the systems behind the scenes.

What Youll Do:
Build and evolve customer-facing features across the web app.
Develop new screens and flows (such as onboarding wizards) and refactor existing features for scale, performance, and maintainability.
Own features end to end from initial design and database schema definition through implementation and production deployment.
Work closely with Product and Design to translate changing requirements into pragmatic, high-quality technical solutions.
Design and implement backend endpoints to support frontend functionality, ensuring clean APIs and reliable data flow.
Debug and resolve issues in existing codebases