דרושים » תוכנה » Quantitative Developer

Our detection engine is a large Python codebase running PySpark over cloud, SaaS, and identity data at scale on Databricks. Youll own its engineering quality - hardening whats there and extending it - working alongside the cyber investigators who define what it should catch.

In this role, you will:

Harden and extend a large production Python codebase: refactoring, module and API design, typing, test coverage.

Own and optimize critical PySpark workflows processing massive security datasets across multi-cloud environments - correctness and cost both.

Design the data models and queries the engine depends on, and fix the slow ones.

Work directly with cyber investigators to turn attacker behavior into detection logic that holds up in production.

Build with AI as a core tool: AI coding agents daily, and the AI tooling the team runs on - agentic and automated workflows (n8n or similar) and LLM-backed services on Bedrock or vendor APIs.

Raise the bar on engineering practice - code review, CI, and the standards the team holds each other to.

Contribute to architectural decisions and technical direction as the platform evolves.An empty job that is used for creating requisitions 'from scratch'

We are looking for a top-of-the-line Senior Python Backend Engineer to develop state-of-the-art enterprise platforms, cloud solutions, and data engines. In this role, you will design mission-critical, high-availability distributed systems, build advanced APIs, and deploy software across diverse cloud and infrastructure ecosystems
Teams:
Management Team: Enterprise Control Panel: Builds the end-to-end REST-to-RPC API pipeline to process complex client requests. Core Infrastructure: Manages storage, network, and virtualization layers, utilizing concurrent Python for cluster deployments and system upgrades.
Data Engine Services: focuses on a modern cloud-native ecosystem, demanding specialization in Kubernetes orchestration, event-driven architectures, and asynchronous Python (FastAPI/Async I/O)
Cloud Team: focuses on cloud-hosted SaaS platforms, bridging low-level Python system architecture with multi-cloud deployments across major hyper-scalers (AWS, Azure, GCP).

Required Software Engineer- Data Platform
Tel Aviv, Israel
About us
A global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, we provide comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy.
About the Role :
The Data Engineering team is a cross-functional team responsible for data integration, monitoring, and quality. This includes automating data flows, alerting, fetching, and checking across various stages of data transformation and projection.
Key Responsibilities:
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Develop data architecture for data ingestion, validation, and processing.
Identify, design, and implement process improvements, such as automating manual tasks, optimizing data delivery, and redesigning infrastructure for enhanced scalability.
Create and maintain optimal data pipeline architecture using microservices.
Work with other members of the data team, including data architects, data analysts, and data scientists.
Key Takeaways:
Use the tools and languages that are best suited to the job - Complete flexibility to problem-solving with novelty and creativity encouraged.
Be around very bright and lovely people.
Your intellectual curiosity and hard work contributions will be welcome to our culture of knowledge sharing, transparency, and shared fun and achievement.
Provide education and documentation to empower team members to make the most of technical resources.
Contribute to our software engineering culture of writing correct, maintainable, elegant, and testable code.
Utilize AWS services and tools such as S3, EventBridge, Athena, and DynamoDB to build a robust and scalable data architecture for data ingestion, processing, and storage.
Collaborate on data infrastructure that supports LLM-driven workflows - leveraging tools like Cursor to accelerate code development, enhance reproducibility, and streamline iteration on intelligent systems.

we are looking for a Senior Backend Engineer.
Here, you define your tech journey: choose the technologies you want to master, set your own growth path, and gain the hands-on experience to become a Backend Tech Lead.
Work with top-tier companies, tackle complex engineering challenges, and leave your mark on large-scale systems - all while staying at the forefront of technology.
This is a hybrid position.
What Youll Do:
Architect, design, and build high-performance, scalable backend systems.
Work with advanced algorithms, data structures & distributed computing.
Design and implement robust, secure APIs.
Use best practices to ensure flexibility, extensibility, and maintainability.
Develop SQL & NoSQL persistence solutions with optimal data modeling & performance.
Build and scale cloud-based infrastructures.

If youre ready for the next big step in your software development career - read on.
In this role, youll focus on building robust, scalable, and efficient backend
solutions that enable developers to create production-grade AI Agents. You will design and optimize the platforms architecture, implement new features, and ensure seamless integration with APIs, making it easier to build reliable and capable AI Agents for any use-case. This is a hands-on role that combines backend engineering with shaping the future of AI-driven development, involving both research and navigating ambiguity.
Responsibilities:
Design, develop, and maintain the core backend architecture of our AI-driven platform.
Take ownership of end-to-end development processes, from design to deployment. Yes, this means brand new pillars in the platform.
Build and deploy scalable APIs, micro-services, and systems that enable seamless AI Agent workflows.
Research and integrate advanced technologies to improve system scalability and reliability.
Ensure code quality through testing, code reviews, and best practices.

Design, scale, and operate high-throughput, low-latency services to support high scale of ingestion, augmentation, continuous ML training, and real-time prediction.
Design, implement, deploy, and own E2E cloud clusters, services, and infrastructure to support extreme workloads and traffic flow while maintaining a lean design and low-maintenance architecture.
As all our systems are data-driven, you will have an analytical aspect in measuring your modules both business- and performance-wise.
Build internal simulation tools and validation endpoints that let the team test changes against live traffic before they ship.
Work side by side with data scientists and researchers - designing, implementing, and owning entire areas of the system from prototype to production.
Technological superiority is what gives us our edge, so you'll work and stay up to date with the latest tech and trends.