Backend Engineer - ML Platform Team

About Us

• Founded by serial entrepreneurs who have successfully exited three companies
• Secured $17M seed funding led by Cyberstarts (seed investor for Wiz, Cyera, and Noname Security) and Boldstart (Snyk, BigID)
• Developing cutting-edge LLM agents, advanced data analytics, and cybersecurity research solutions
• Located in Tel Aviv, adjacent to the Hashalom train station

Position Overview
We are looking for a Senior Backend Engineer to join our ML Platform Team, responsible for building the foundational systems that power data-intensive workflows across the organization. This role will focus on orchestration of complex data pipelines, designing and implementing a robust SDK for security researchers, and building infrastructure to support machine learning experimentation, training, and deployment workflows. You’ll collaborate closely with security researchers to enable scalable, reliable, and secure systems that bridge security research, backend engineering and ML/DevOps.

Responsibilities

• Data Pipeline Orchestration: Design and implement scalable, observable, and maintainable data pipelines using orchestration frameworks (e.g., Dagster, Airflow, Prefect) that handle data loading, transformation, lineage tracking and machine learning models training and serving
• Security Research SDK: Develop and maintain a Python-based SDK used by security researchers to access datasets, annotate and enrich data, track experiments, and interact with model outputs and evaluations
• ML Experiment Infrastructure: Build backend systems for tracking ML experiments, versioning datasets and models, managing metadata, and integrating with model training/serving workflows
• ML Platform Engineering: Partner with research and DevOps teams to productionize ML pipelines, build feature stores, manage model artifacts, and enable reproducibility in on-prem and cloud environments

Required Skills & Experience

• Backend System Design: Strong experience designing and developing modular backend systems, with a focus on extensibility, data handling, and security compliance. Proficiency in python - advantage.
• Data Pipeline Engineering: Deep understanding of ETL/ELT concepts, orchestration frameworks, and handling large-scale, multi-source data flows with high availability, fault tolerance and observability
• SDK and API Development: Proven track record of building user-friendly, well-documented SDKs and APIs consumed by internal teams or external clients
• Performance & Scalability: Expertise in tuning backend systems for high throughput, low latency, and high availability in cloud and/or on-prem architectures
• DevOps & Observability: Working knowledge of DevOps tooling, monitoring and logging system

Why Join Us?

• Impactful Role: Build a foundational system from scratch in a high-stakes environment
• Innovative Culture: Collaborate with a talented, experienced team at the forefront of technology
• Career Growth: Play a pivotal role in shaping our engineering foundation and cutting-edge technology stack