דרושים » ניהול ביניים » Senior Backend Engineer, Data Infrastructure

Were looking for a Senior Backend Engineer - Data Infrastructure to design and optimize high-performance infrastructure capable of handling massive data volumes. In this role, youll lead backend development, architect scalable data pipelines, and ensure seamless data processing. Your expertise in distributed systems and performance optimization will drive innovation, transforming intricate security challenges into efficient, resilient solutions.

Responsibilities
Be a significant part of the development of backend infrastructure to efficiently handle, process, and store vast volumes of data.
Architect and build a scalable, high-performance backend system that supports various services within the platform.
Translate intricate requirements into meticulous backend design plans, maintaining a focus on software design, code quality, and performance.
Collaborate with cross-functional teams to implement backend and data-handling techniques.
Apply your expertise to create robust backend solutions.
Leverage your proficiency in cloud platforms such as AWS, GCP, or Azure to drive strong backend engineering practices.
Demonstrate strong debugging skills, identifying issues such as race conditions and memory leaks within the backend system. Solve complex backend problems with an analytical mindset and contribute to a positive team dynamic.
Bring your excellent interpersonal skills to foster collaboration and maintain a positive attitude within the team.

We are seeking an experienced Senior Backend Engineer with a passion for tackling complex challenges across a diverse range of technologies. Your role will involve a deep commitment to software design, code quality, and performance optimization. As part of our Engineering team at Dream, your mission will be to empower critical infrastructure by enabling the detection, investigation, and response to complex attacks and data breaches on their networks.

As a Senior Backend Engineer, you will take a lead role in developing the backend infrastructure to efficiently handle, process, and store massive volumes of data. Your expertise will play a crucial part in building a scalable, high-performance backend system that serves as the foundation for other services within the platform. Additionally, you will be responsible for translating intricate requirements into meticulous and actionable backend designs.

Responsibilities
Be a significant part of the development of backend infrastructure to efficiently handle, process, and store vast volumes of data.
Architect and build a scalable, high-performance backend system that supports various services within the platform.
Translate intricate requirements into meticulous backend design plans, maintaining a focus on software design, code quality, and performance.
Collaborate with cross-functional teams to implement backend and data-handling techniques.
Apply your expertise to create robust backend solutions.
Leverage your proficiency in cloud platforms such as AWS, GCP, or Azure to drive strong backend engineering practices.
Demonstrate strong debugging skills, identifying issues such as race conditions and memory leaks within the backend system. Solve complex backend problems with an analytical mindset and contribute to a positive team dynamic.
Bring your excellent interpersonal skills to foster collaboration and maintain a positive attitude within the team.

We are seeking an experienced Senior Backend Engineer to join our Data Services team. The Data Services team manages, provides and processes the large volumes of data, used by our Scientists and customers.

In this role, you will be responsible for building new cloud and on-prem data systems and infrastructure, as well as maintaining, improving, and enhancing serving systems, in order to provide highly usable, robust, and efficient data services.

Responsibilities:
Participate in the development of state-of-the-art auto-driving systems by managing the data required for training and validation.
Build efficient services to manage and provision large quantities of visual and other types of data.
Design, develop, and implement robust cloud and on-prem services.
Contribute to the selection and utilization of new AI technologies, databases, and third-party services.

We are looking for a Staff Data Engineer to join our Platform group as part of the Data Infrastructure team. This is a senior individual contributor role for someone who combines deep technical expertise with a passion for building scalable, high-impact data infrastructure.
In this role, you will take ownership of designing, implementing, and evolving the data systems that power data orchestration, distributed storage, and streaming capabilities - with a focus on architecture, reliability, and performance. Youll collaborate across teams, influence engineering best practices, and help scale our infrastructure to support growing data needs across the organization.

Were looking for a Senior Software Engineer to join our ML Data Group. In this role, youll be at the forefront of building our next-generation data platformfrom the ground up. Youll play a key role in shaping our new data offerings and evolving our existing Feature Store, a core component that helps machine learning teams access and manage large-scale, high-quality datasets with ease and speed.Youll work in a fast-paced, collaborative environment alongside other top-tier engineers and data experts. This is a high-impact opportunity to define architecture, implement best practices, and deliver production-grade solutions that will accelerate ML experimentation and deployment at scale.
As a Senior Software Engineer you will...
Design and implement our new ML data offerings from scratch
Improve and scale the existing Feature Store Data Pipelines for performance, reliability, and usability
Develop efficient, scalable data storage solutions for datasets and features
Build robust APIs and services to manage the full lifecycle of datasets and featuresincluding versioning and access control
Ensure data integrity, security, and validation across our platforms
Define and uphold engineering best practices in data management and software development
Collaborate cross-functionally with product, ML, and platform teams
Mentor junior engineers and help shape our engineering culture.

We are looking for a skilled and highly motivated software engineer to join and play an integral role on the Runtime team, part of the MLOps group. This team is responsible for building high-quality, enterprise-grade deployment and serving infrastructure for classic ML models and LLMs ensuring they are efficiently deployed, monitored, and scaled to handle millions of requests across multiple cloud platforms, including GPU-powered machines.
As a core member of the team, youll tackle meaningful and engaging challenges across a diverse technological stack.
We value creative, fast learners and independent thinkers who are proactive, collaborative, and capable of driving tasks from concept to production.
As a Back-End Engineer you will...
Be an integral part of a highly skilled team working to build the leading MLOps platform in the industry.
Maintain and evolve the Runtime teams products, ensuring their reliability and scalability.
Design and develop a complete hosting system that supports various types of inference, analytics, monitoring, distribution, and more enabling customers to run large-scale real-time, batch, and streaming ML pipelines.
Play a key role in shaping our cross-company engineering culture.
Conduct high-quality design reviews with a strong emphasis on scalability, maintainability, security, and sound use of design patterns.
Write maintainable, well-tested code in multiple programming languages.
Continuously improve the efficiency, scalability, and stability of critical system components.

Required Principal Backend Engineer, Platform Foundations
What Youll Do:
Youll be part of the group responsible for our main products. You will impact the work of developers in the group by designing, building and maintaining the core infrastructure of our solution and leading the research and development of new technologies as well as maintaining code standards and practices.
What does the day to day of Infrastructure Engineer look like:
You will be working on our core B2B platform that serves tens of thousands of customers, serving hundreds of terabytes in production. Our backend engineers are responsible for the entire data lifecycle - from our endless datatlakes, through choosing the right serving methods and databases, all the way to our api services.
Your role will include:
Design and implement scalable backend services and libraries that are reusable and maintainable, serving as the foundation for various applications across the company.
Build and maintain tools that streamline development workflows, enabling product teams to focus on delivering business value.
Define and promote best practices for code quality, performance, and reliability, ensuring healthy production environments and rapid development cycles.
Lead the adoption and integration of AI tools to assist in code generation, testing, documentation, and debugging, thereby accelerating development processes.
Perform proof-of-concepts (POCs) on emerging technologies, including AI agents and platforms, to assess their applicability and benefits to our development ecosystem.
Drive cross-team technical projects aimed at improving infrastructure scalability, reliability, and developer experience.
Analyze and resolve complex production issues, ensuring minimal downtime and optimal performance.
Contribute to the evolution of our system architecture, ensuring it supports rapid development and scaling needs.

Realize your potential by joining the leading performance-driven advertising company!
As a Senior User Data Engineer in the Demand group in our Tel Aviv office youll play a vital role in developing one of the largest real time big data operations in the world to support over 40TB of new data every day.
Our Tech Stack: Java, JS, TS, Python, Reactive, Spark, Kafka, Hadoop, Cassandra, Vertica, ES, MySQL, Memcached, HDFS, Iceberg, BigQuery, Druid, Kusto, Docker, K8S, Linux, Prometheus, Grafana, Airflow
Gen AI: Cursor, Junie, GitHub Copilot, Langfuse and much more
How youll make an impact:
As a Senior Software Engineer, youll bring value by:
Design, develop, and address scalability challenges in our user data pipeline and identity graph, ensuring efficient handling of high-throughput, high-performance systems
Have end to end ownership: Design, build, ship, measure and maintain our frontend and backend services
Collaborate with the brightest software engineers team members
Influence directly on the way billions of people discover the internet
Develop at unimaginable scale, serving thousands of requests per second
Work on innovative projects that are the next growth engines for our company
Here are some of the things software developers in our group did in the last several months:
A unique data pipeline for processing and managing user data signals
Driving our companys data advantage by leveraging real-time user signals to uncover intent and boost key business performance metrics
Develop a complete user identities graph and find deterministic and probabilistic methods to enrich it
An algorithmic model to predict the performance potential of a specific audience
Infrastructure to create unique audiences for advertisers based on various signals (behavioral, contextual, etc)
An A/B tests system to explore variations and experiments over audiences
Understand and use big data algorithms to estimate key business metrics over billions of impressions
Build user interface using React that serve thousands of users.

Required Senior Software Engineer
About the Fraud Prevention Squad:
The Fraud Prevention Squad is a highly skilled and collaborative team of engineers, data scientists, and analysts working to develop cutting-edge fraud detection and prevention systems. The team is passionate about building secure financial products and fosters a culture of learning and mentorship, where everyone is encouraged to share their expertise and grow their skills.
What Youll Do:
As a Senior Backend Engineer on our Fraud Prevention Squad, you will play a key role in ensuring the integrity and security of our product offerings. Your main responsibility will be to design, build, and enhance advanced backend systems to detect, prevent, and manage fraudulent activities across all our products. You will collaborate with a multidisciplinary team of engineers, data scientists, and data analysts to develop effective fraud prevention strategies and tools. Additionally, you will continuously improve existing technologies, integrate fraud prevention measures seamlessly into our products, and provide mentorship to junior engineers.
Key Responsibilities:
Contribute to the development of our Fraud Prevention Platform, ensuring high-quality products and services.
Solve complex architectural problems, utilizing your deep understanding of system architecture.
Collaborate with other team members, sharing your expertise and facilitating a culture of learning.
Maintain our system architecture, ensuring smooth operation and quality user experience.
Be an advocate for clean, efficient, and maintainable code.
Provide mentorship to junior team members, nurturing their growth and development.

We are seeking a talented Backend Engineer to help bring advanced AI/ML features to our travel and expense management platform. This position is perfect for a strong backend developer whos excited to work with the latest AI/ML technologies in a fast-moving, cross-functional environment.
About the Position
As a Backend Engineer, youll design and build high-performance backend systems that enable large language models (LLMs), retrieval-augmented generation (RAG), and conversational assistants in our consumer products. You will collaborate closely with experts in AI/LLM and product teams to translate concepts into robust, scalable solutions for our end users.
What Youll Do:
Build and maintain scalable backend APIs and microservices supporting AI/LLM-powered features
Connect backend systems to AI/LLM services and platforms
Work with AI/LLM specialists to deliver production-ready, machine learning-driven functionality
Ensure all systems are reliable, high-performing, and secure
Partner with product and engineering teams to define requirements and deliver innovative features.