דרושים » הנדסה » Big Data Engineer

Were looking for a Big Data Engineer to develop and integrate systems that retrieve, process and analyze data from around the digital world, generating customer-facing data. This role will report to our Team Manager, R&D.
Why is this role so important?
we are a data-focused company, and data is the heart of our business.
As a big data engineer developer, you will work at the very core of the company, designing and implementing complex high scale systems to retrieve and analyze data from millions of digital users.
Your role as a big data engineer will give you the opportunity to use the most cutting-edge technologies and best practices to solve complex technical problems while demonstrating technical leadership.

Required Big Data Engineer Team Lead
We are an innovative technology company led by data scientists and engineers devoted to mobile app growth. Our proprietary ad platform is powered by machine learning and is constantly improving its distribution algorithms.
We deliver valuable results and insights for a fast-growing clientele of major app developers using elite programmatic user acquisition and retargeting technologies.
Our state-of-the-art machine learning technology analyzes 50TB of raw data per day to produce millions of ad recommendations in real-time. This data is used to power our machine learning predictions, business-critical metrics, and analytics to power our decision-making.
As a Big Data Team Lead, you will lead a team focused on building scalable, algorithm-heavy data products rather than owning the underlying data infrastructure.
Your team will be responsible for implementing complex business and optimization logic-often incorporating multiple algorithms using Peta-Byte scale data processing (primarily PySpark). A core part of the role is ensuring these data products are explainable, observable, and trusted by Data Science, BI, Product, and business stakeholders.
You will work closely with the Data Infrastructure TL, Data Science, BI, and Product to turn advanced logic into production-grade, transparent, and measurable systems.
Responsibilities:
Lead development of scalable, algorithm-heavy data products using PySpark and Implement and maintain complex, multi-stage data flows with multiple interacting algorithms.
Translate business and algorithmic requirements into clear, testable data logic. Ensuring explainability of outputs through intermediate artifacts, metadata, and documentation & Defining and monitoring; observability signals for data quality, algorithm health, and business impact.
Mentor engineers on reasoning about complex logic, edge cases, and failure modes.

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.
our company Cloud Storage provides a suite of services like the scalable our company Cloud Storage (GCS) for unstructured data, high-performance managed lustre for AI High-Performance Computing workloads, and the managed Network File System (NFS) service filestore. These offerings are fundamental to our company Cloud's infrastructure, serving as the backbone for storing and accessing the vast datasets required for training and deploying AI models. In the AI era, this storage portfolio is crucial for enabling innovation, supporting compute-intensive tasks, and driving significant value for our company Cloud customers. The performance, scalability, and flexibility of these storage solutions are key to unlocking the potential of AI.
our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Design and implementation of high-complexity features. Deliver robust, production-ready code for storage solutions that address the specific demands of AI/ML workloads.
Architect scalable and performant storage solutions. Make data-driven decisions to optimize system efficiency and reliability.
Provide deep-dive code reviews and technical guidance to the team. Set the standard for engineering excellence and help maintain a high quality bar for all deliverables that addresses the expectations of key our company customers.
Identify and resolve performance bottlenecks and intricate system issues. Develop innovative, practical solutions to technical challenges that arise at the intersection of storage and ML.
Partner with product and engineering stakeholders to translate customer requirements into technical specifications, ensuring the incubations output aligns with broader our company Cloud goals.

We are looking for a talented and dedicated ML & Big Data Analyst who will be a part of the Core Data group.
As part of this role, you will help us process and streamline rich and complicated datasets. Will explore and validate new data sources. Be part of the data science and data engineering force creating new features for our solution.
What does the day-to-day of a ML & Big Data Analyst look like:
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools that will ensure the quality of data and algorithms.
Utilize your deep understanding of data in order to evaluate and improve novel algorithms produced by the data scientists in your team.
Partner with Big Data Engineers to establish an infrastructure to scale solutions.

We are looking for a strong Full Stack Developer with an eye for details. We are building a product with high scalability in mind and solving challenging problems on a daily basis. Our backend architecture is event-based and relies on RabbitMQ. We also really love React hooks!

As a senior developer, you will master the entire development life-cycle from identifying and characterizing the product, including architecture, deployment, development, testing, and up until production.

Be part of a fast-growing engineering team that builds a cutting-edge platform that makes a real impact in the world.
Develop a complex, highly available, distributed, cloud-based solution, and maintains its high level of quality.
Build new features that directly impact the future of our product from the UI to the Database.
Deploy code to production regularly to a SaaS-based solution hosted on the Cloud.
Collaborate with the product team to understand the task requirements.
Plan and lead the Engineering designs.
Write well-designed, elegant, testable, and efficient code.
Mentor other team members and support their professional growth and development.

We are seeking a passionate and proactive Intermediate Backend Engineer(or an experienced Junior ready for the next step) to join one of our core development team. This is a high-impact role for a fast learner and natural problem-solver who has mastered the basics, is genuinely excited about technology and building robust, scalable systems and ready to take full ownership of complex features.
We are looking for someone who doesn't just code, but who lives and breathes technology. The ideal candidate is up-to-date with industry trends, has a history of writing substantial code, and has worked on interesting, complex systems-whether in a professional environment, the army, or through significant personal projects. If you are self-motivated, eager to take ownership, and thrive on getting things done, we want to hear from you.
What You'll Do:
Be an active, hands-on member of the software development lifecycle, from product and software design to implementation and testing.
Write high-quality, maintainable, and efficient code, primarily in Python.
Quickly learn and gain a deep understanding of our product architecture, design patterns, and development processes.
Develop, deploy, test and maintain robust RESTful APIs and (mostly)backend services. You will design and implement scalable microservices within an event-based ecosystem..
Collaborate on maintaining our 24/7 live production environment, troubleshooting and resolving issues as they arise.
Collaborate with DevOps and infrastructure teams to ensure smooth deployment and reliability.

we are looking for a Lead/Principal Backend Software Engineer.
As a Backend Software Engineering, your job responsibilities will include:
Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
Develop high-quality, production-ready code that can be used by millions of users of our cloud platform.
Make design decisions on the basis of performance, scalability, and future expansion.
Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment
Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level)
JR325990

Join a core team of experts responsible for developing innovative cyber-attack techniques for Cloud-based environments (AWS, Azure, GCP, Kubernetes) that integrate into fully automated attack simulation.

This role provides the opportunity to lead end-to-end design & implementation of advanced server-side features using a wide range of technologies: Apache Spark, Apache Airflow, Scala, k8s, Node.js (JS/Typescript) with MongoDB, Redis, Kafka, Dockers and Flink (Big Data Stream Processing)

Were seeking a strategic and hands-on Head of Engineering to lead and scale our technical organization.

In this role, you will turn our product vision into a strong, scalable engineering foundation, build efficient processes, and drive technical excellence. You should be passionate about technology, user value, and high-quality execution. Success means challenging assumptions, diving into details, and shaping both the product and the team that builds it.

Responsibilities
Lead and scale of 20-30 engineering organizations (Frontend + Backend) through two Group Leads.
Own the technical strategy and roadmap, ensuring strong alignment with product goals and long-term company vision.
Design and oversee scalable, reliable system architecture across image processing, AI model serving, and data pipelines.
Remove bottlenecks to improve development velocity and overall engineering efficiency.
Drive hiring, mentoring, career development, and a culture of ownership and excellence.
Roll up your sleeves when needed and set the standard for hands-on technical leadership.
Enforce engineering best practices across code quality, CI/CD, testing, deployment, and observability.
Partner closely with Product, AI/ML, and Design teams to translate business needs into technical solutions.
Make key technology decisions and evaluate new tools, frameworks, and services.
Define and track engineering KPIs to ensure system performance, uptime, and team productivity.

We are looking for a highly skilled and motivated Senior II Software Engineer to join the Operational Experience engineering team. The team is part of the Customer Experience group, which is responsible for the platform, tools, and customer-facing experiences that power how our customers interact with our ecosystem. This is a high-impact, hands-on role, in which youll be working closely with product managers, designers, customer-facing teams, and engineering partners across the company.

You will operate at the intersection of backend engineering, data-intensive systems, platform development, and customer experience. The ideal candidate brings strong expertise in Node.js and TypeScript, along with deep experience working with large-scale data stores, event-driven pipelines, data models, and high-throughput infrastructure. You will work closely with cross-functional partners to design and implement robust backend services, data-access patterns, and operational workflows that power the portal and internal tools. As we invest heavily in Agentic AI, you will also play a central role in shaping and implementing AI-driven capabilities across the platform. While the role is primarily backend, you will occasionally contribute across the full stack when it supports end-to-end delivery.

If you enjoy owning complex problems end to end, improving systems at scale, and building experiences that bring real value to customers, we would love to meet you.

What you'll be doing:
Drive technical direction and architecture within the OX team and across the broader CX organization. You will proactively identify opportunities to improve performance, resilience, cost, scalability, and developer experience, primarily in backend systems but with influence across the stack.
Lead the development of AI-driven and Agentic AI capabilities. Define how LLMs integrate into our platform, build AI-powered workflows, and establish strong engineering patterns for safe and reliable adoption.
Own and evolve the data foundations behind the portal. Optimize pipelines, improve data quality and freshness, and design resilient data-access patterns across Snowflake, Elasticsearch, Kafka, Redis, MySQL, and related systems.
Work closely with product, design, customer-facing teams, and partner engineering groups. Turn ambiguous problems into clear execution plans and ensure alignment with customer and business goals.
Shape shared standards and platform best practices. Guide other teams on backend services, data integration patterns, portal development approaches, and AI-enabled workflows.
Mentor and elevate engineers across the CX group. Promote engineering excellence, share knowledge openly, and help teams adopt effective modern development practices.
Own delivery of high-impact initiatives. Contribute hands-on when needed, remove blockers, maintain execution momentum, and drive projects from concept to production.