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You will join the R&D team building the next generation of our AI-powered metadata and context management. This system is the backbone that enables instant, actionable answers via our MCP and agentic use cases by translating complex business questions into secure, cost-aware data queries.

This is a high-impact, data-intensive role requiring production-grade backend development expertise, focused on quality, governance, and low-latency retrieval across complex data sources.

What youll do:
This role focuses on the end-to-end backend development and engineering quality for our core AI retrieval plane:
Design and Scale Context Retrieval: Develop and deploy services for our hybrid RAG/GraphRAG systems, combining lexical and vector search on data from various sources.
Implement Governance Gates: Build mission-critical backend logic to enforce data security policies, ensuring customer data and internal business data are filtered, masked, or isolated based on policy tags before context is ever generated.
Own the Quality Lifecycle: Design and implement automated evaluation to continuously measure the precision, recall, and faithfulness of the retrieved context against golden metrics.
Optimize Performance and Cost: Architect backend solutions for performance, including designing semantic caching strategies, memory, and context compression.
Data Modeling & APIs: Contribute to the graph model and APIs for retrieving metadata (glossary terms, lineage, schemas), enabling sophisticated context assembly for the agent.
Full Observability: Implement comprehensive tracing and monitoring for every agent component and tool call, ensuring high service reliability and quick root-cause analysis.

As part of the Audiences team, youll work on highly scalable systems, tackle real-time challenges, and contribute to a platform that directly impacts the success of our customers campaigns.

Our team mixes disciplines from back-end, data, AI and front-end engineers and were looking for a great back-end data oriented developer that is passionate about what they do, who want to dive into the worlds of big data, microservices and production management at our scale, to help us reach our vision and goals

What youll do:
Solve diverse, complex problems at a large scale.
Collaborate with Product Managers, data scientists and Software Engineers to deliver innovative, user-facing products.
Independent - cradle to grave, own a feature from scratch to production.
Analyze and improve performance, scalability and stability of our products, environments and tools.
Continuously learn and evaluate new technologies in the everlasting effort to perfect our products and adapt to the ever-growing scale.

Our efficiency-driven Backend Team develops and optimizes algorithms, enabling our solutions to handle large-scale data processing with impressive speed and low latency.
Join us in pushing the boundaries of fraud prevention and making a meaningful impact.

What youll do:
Take full ownership of products and features, from initial design to final production, empowering you to have a tangible impact throughout the entire development process.
Thrive on solving diverse and complex problems at scale, even when faced with limited clarity on the optimal solution approach. Your ability to navigate and conquer such challenges will be highly valued.
Collaborate closely with Product Managers, Analysts, Data Scientists, and Software Engineers, working together to deliver exceptional value to our customers. Your contributions will directly contribute to shaping the success of our products.
Dive deep into the analysis and optimization of performance, scalability, and stability across our product portfolio, as well as the environments and tools supporting them. Your insights and improvements will have a significant impact on ensuring our technological excellence.
Embrace a continuous learning mindset, constantly exploring and evaluating new technologies. This commitment to innovation ensures that our products and systems remain at the forefront of the industry, effortlessly adapting to the ever-growing scale of our operations.
Elevate your impact by mentoring others, leading projects, and advocating for engineering best practices within your team. Your influence will extend beyond your own work, fostering a culture of growth and excellence.
Rise to the challenge of sharing your expertise with the wider tech community. Whether speaking at meetups/conferences, penning insightful blog posts, contributing to existing open-source projects, or releasing new open-source software, your voice will shape and inspire others.

Were looking for a data scientist to join our team and further improve fraud detection capabilities.
This position involves analyzing evolving fraud patterns, developing and deploying advanced prevention components, and leveraging domain expertise, data tools, and modern AI methods to stay ahead of emerging threats.

A partial list of our tech stack: Python (and its related scientific stack), Spark, TensorFlow/PyTorch, Kafka, AWS services, Airflow, Scala, BigQuery, and more

What you'll do:
Mine massive data sets to uncover fraud patterns and prevention opportunities.
Develop and productionize large-scale ML, DL, and AI models to detect and prevent fraudulent activity.
Translate business and product needs into scientific, explainable, and high-impact solutions.
Design and maintain end-to-end ML pipelines - from data ingestion and feature engineering to serving and monitoring in production.
Collaborate closely with product, engineering, and business teams to drive data-driven decisions.
Stay current with AI and ML research and evaluate new technologies to strengthen Protect360s algorithms.

As part of the Audiences team, youll work on highly scalable systems, tackle real-time challenges, and contribute to a platform that directly impacts the success of our customers campaigns.

Our team mixes disciplines from back-end, data, AI and front-end engineers and were looking for a great back-end data oriented developer that is passionate about what they do, who want to dive into the worlds of big data, microservices and production management at our scale, to help us reach our vision and goals.

What youll do:
Solve diverse, complex problems at a large scale.
Collaborate with Product Managers, data scientists and Software Engineers to deliver innovative, user-facing products.
Independent - cradle to grave, own a feature from scratch to production.
Analyze and improve performance, scalability and stability of our products, environments and tools.
Continuously learn and evaluate new technologies in the everlasting effort to perfect our products and adapt to the ever-growing scale.

Were looking for a Big Data Engineer who loves turning massive, messy datasets into scalable, reliable systems. Youll design and maintain data pipelines, ensure data quality, and collaborate with data scientists and product managers to bring new insights to life.

What youll do:
Design, build, and optimize scalable data pipelines and ETL processes
Own data products from design to production.
Ensure data accuracy, integrity, and performance across large datasets.
Collaborate with data scientists and engineers to deliver production-grade experiment.

Our teams deploy fast and often, having code deployed in production shortly after it was written, focusing on safety, robustness and proper architecture of our backend that handles over a hundred of billions of events daily at a fast pace.

Backend developers shape and improve our microservices architecture daily to provide the leading mobile analytics solution. To do this, we use cutting-edge technologies such as Clojure, Go, Kafka, Redis, BigQuery, GraphQL, SQL and NoSQL databases, in addition to hosted solutions that AWS and GCP have to offer and more

We encourage engineering excellence and promote industry best practices, and were looking for great backend developers with a passion for challenging themselves while solving technical problems at a large scale.

What youll do:
Own and develop our products and features end-to-end - from design to production.
Solve diverse, complex problems at a large scale.
Collaborate with Product Managers and Software Engineers to deliver value to customers.
Analyze and improve performance, scalability and stability of our products, environments and tools.
Continuously learn and evaluate new technologies in the everlasting effort to perfect our products and adapt to the ever-growing scale.

we are seeking a skilled FPGA Engineer with strong capabilities in system and hardware-level design.
The engineer will play an integral role , requiring an experienced, self-driven engineer with great initiative.
The individual will be responsible for selection, development, and integration of FPGAs that implement functionality on prototypes: spanning from low-level hardware control & status for embedded systems, to high speed links, to high level IP blocks, to custom hardware-accelerated algorithms & filters.
This role offers an incredible opportunity to work with and learn from world-class experts in multiple disciplines, while working on exciting design applications.