דרושים » הנדסה » Backend Engineer (Platform team)

We are looking for an experienced and hands-on Backend Engineer to be a key player in building high-scale Data Platforms and Products for our business teams.

This role involves working with large datasets and scalable systems, and developing internal tools to enable data-driven decision-making across the company.

Key Responsibilities:

Develop internal tools for various teams .
Build and maintain microservices and APIs to support diverse workflows.
Operate in a real-time, event-driven environment.
Create and manage data pipelines.
Take ownership of multiple systems and products.
Develop and deploy machine learning pipelines to production in an event-driven architecture.
Work in a multi-cloud environment (Azure/GCP/AWS).
Integrate third-party tools with our platform.
Translate business requirements into technical specifications.

Shape the Future of Data - Join our mission to build the foundational pipelines and tools that power measurement, insights, and decision-making across our product, analytics, and leadership teams.
Develop the Platform Infrastructure - Build the core infrastructure that powers our data ecosystem including the Kafka events-system, DDL management with Terraform, internal data APIs on top of Databricks, and custom admin tools (e.g. Django-based interfaces).
Build Real-time Analytical Applications - Develop internal web applications to provide real-time visibility into platform behavior, operational metrics, and business KPIs integrating data engineering with user-facing insights.
Solve Meaningful Problems with the Right Tools - Tackle complex data challenges using modern technologies such as Spark, Kafka, Databricks, AWS, Airflow, and Python. Think creatively to make the hard things simple.
Own It End-to-End - Design, build, and scale our high-quality data platform by developing reliable and efficient data pipelines. Take ownership from concept to production and long-term maintenance.
Collaborate Cross-Functionally - Partner closely with backend engineers, data analysts, and data scientists to drive initiatives from both a platform and business perspective. Help translate ideas into robust data solutions.
Optimize for Analytics and Action - Design and deliver datasets in the right shape, location, and format to maximize usability and impact - whether thats through lakehouse tables, real-time streams, or analytics-optimized storage.
You will report to the Data Engineering Team Lead and help shape a culture of technical excellence, ownership, and impact.

We are looking for a Senior Fullstuck Engineer, a highly motivated professional leader with strong interpersonal skills who possesses a can-do approach to lead diverse and big technical initiatives based on high standards in a fast-paced environment, based on our goals.
As a Senior Fullstack Engineer, you will make an impact on growth by developing business applications for Operations, CRM, CS, analytics, and more. You will partner with cross-functionally and different stakeholders to prioritize resources according to the business needs, working closely with Product Managers, Engineers, DevOps, and others.
Roles & Responsibilities:
Lead core business operations: Oversee the entire process from customer purchase to delivery.
Approve design documents and code reviews: Ensure adherence to technical standards and best practices.
Collaborate with third-party vendors and services, both internally and externally.
Build new infrastructure from scratch: Develop a robust backend system using Node.js and TypeScript.
Manage efficiency processes of large-scale data.

Were looking for a Senior Full-stack Engineer to join our growing team and help us scale to the next level. Youll work on mission-critical systems actively used by 10,000+ customers, tackling complex engineering challenges while shaping the future of cyber risk management.

This is a hands-on role where youll collaborate with product managers, designers, QA experts, architects, and fellow engineers to deliver innovative, high-impact solutions in a modern, cloud-native environment.

Responsibilities
Build and scale our Security SaaS platform, delivering reliable and secure solutions to thousands of active users.

Design, develop, and maintain robust, well-tested backend and full-stack features in a cloud-based, microservices environment.

Own features end-to-end: from architecture and implementation to deployment, monitoring, and continuous improvement.

Collaborate closely with cross-functional teams (Product, Design, QA, Architecture) to ship high-quality solutions quickly.

Maintain high standards of code quality, proactively troubleshoot issues, and ensure smooth operation of new and existing systems.

Contribute to the technical direction of the team, sharing best practices and mentoring when needed.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Waze Engineering Productivity (EngProd) team is the multiplier for all of Waze engineering.
In this role, you will design, build, and own the foundational systems that empower developers to ship with speed, quality, and confidence. You will be maintaining systems and leading the charge on Waze's technical initiatives.
Waze is where people and technology meet to solve transportation challenges. It's a platform that empowers users to contribute road data and edit Waze maps to improve the way we move about the world. As the social navigation pioneer, Waze leverages mobile technology and a passionate global community to redefine expectations of todays maps.
Responsibilities
Develop and maintain back-end services and libraries, in the Java ecosystem, that form the support of the development environment.
Take ownership of components within technical initiatives, such as the company-wide migration to our company3 or the rollout of new Artificial Intelligence (AI)-powered developer tools.
Deploy and manage mission-critical services on our company Cloud Platform (GCP) using technologies like Kubernetes and Docker, ensuring high availability and performance.
Collaborate with engineering teams across Waze to understand their issues, gather requirements, and deliver solutions that make their workflows efficient.
Work with Java, Python and our company's internal tooling to select the right technology for the job.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We’re hiring a hands-on Principal Software Architect o lead end-to-end architecture across our web stack. In this role, you’ll design and code critical paths, set technical direction, and help teams deliver secure, observable, high-performance products. A key requirement is experience owning a large end-to-end web application from 0 to production at a meaningful scale.
Our current stack
* Frontend: Angular, RxJS, Bootstrap-based UI components.
* Backend: Node.js/TypeScript, serverless on GCP, NestJS in new services.
* Data: Firestore as primary store, object storage for images.
* Tooling: NX monorepo, CI/CD, automated testing, observability with centralized logs/metrics/traces.
?A day in the life and how you’ll make an impact:
* Own system architecture for customer-facing apps and internal platforms end-to-end: frontend, backend, data, and cloud.
* Design clear interfaces and a mediated API layer between services and clients.
* Lead decisions on scalability, observability, reliability, cost, and security for high-volume, low-latency workloads.
* Write production code in TypeScript/Node and Angular, pairing with teams on complex features.
* Establish guardrails: coding standards, architecture principles, testing strategy, CI/CD, trunk-based development.
* Create simple, composable designs that favor KISS over unnecessary abstraction.
* Drive event-driven patterns where useful, including pub/sub and event sourcing.
* Champion great DX: reusable libraries, tooling, documentation, and fast feedback loops.
* Partner with product and research to ship measurable business impact, not just diagrams.
* Mentor engineers and unblock teams with pragmatic reviews and hands-on help.

We are looking for a highly motivated Security Operations (SecOps) Engineer to join our growing security team. The ideal candidate will bring 34 years of hands-on experience in cybersecurity operations and incident response, with strong expertise in cloud environments. You will play a key role in designing, implementing, and managing security monitoring, detection, and response capabilities that safeguard our organizations assets, data, and customers.


Key Responsibilities
Design and maintain monitoring flows and detection use-cases across SIEM and related systems.
Develop, optimize, and tune security rules, alerts, and dashboards.
Integrate threat intelligence feeds into monitoring tools.
Lead and support security investigations, from triage to remediation.
Coordinate with internal teams and external partners to contain and resolve incidents.
Create and maintain playbooks, runbooks, and IR documentation.
Build and maintain security automation and orchestration workflows to accelerate response.
Ensure compliance with security policies, frameworks, and regulatory requirements (SOC 2, ISO 27001, GDPR, etc.).
Maintain clear documentation of procedures, incidents, and improvements.

Artlist is a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io Artlist is looking for a Senior Backend Engineer to join our new Platform Infrastructure team. In this foundational role, you’ll help build the shared backend systems, frameworks, and tooling that power every product across the company. If you’re passionate about solving hard technical problems, shaping internal architecture, and scaling best practices across teams — we want to hear from you. Wake Up for This
* Build for builders: Design and develop the backend infrastructure that other teams will rely on — from shared services and APIs to internal developer tools and performance optimizations.
* Engineer at scale: Work across modern backend stacks, building reusable systems that balance flexibility with consistency.
* Drive technical standards: Partner with tech leads, designers, and developers across the company to define best practices and guide architectural decisions.
* Lead by example: Mentor other engineers, support their growth, and help raise the overall bar for backend quality and maintainability.
* Create real impact: Your work will improve development velocity, code quality, and user experience for millions of creators and countless internal users.

Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructuresomeone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacksits about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakesdesigned for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object storebacked data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.