Senior Platform Engineer — Backend & Data (NXJ-73)

We’re looking for a Senior Platform Engineer (Backend & Data) to join the Data Hub team and help drive a bold shift to a GenAI‑powered data ecosystem—replacing manual data flows with autonomous agents. This is a high‑ownership role for someone who can take initiatives from concept to production, make strong architectural decisions, and stay close to product thinking when it helps deliver the right outcomes. The team develops a strategic internal data platform that provides shared tooling and infrastructure, enabling analytics and machine learning stakeholders (and future AI‑driven workflows) to securely manage, transform, and process large‑scale data—powering key capabilities across the business.

Responsibilities

• Platform Abstraction & Tooling: Design and implement high‑quality, large‑scale cloud data infrastructure, self‑service tooling, and microservices that abstract complexity. This enables data users to build their own pipelines and transformation logic efficiently
• Infrastructure Ownership: Own the underlying AWS infrastructure and services, ensuring optimized performance, scalability, reliability, and cost‑efficiency (FinOps) for our batch workloads
• Governance Engineering: Design and implement platform features that enforce strict operational concerns, including Data Quality, Data Security, Compliance, and Data Governance programmatically
• Collaborate with cross‑functional teams, including analysts, data scientists, and product managers, to gather requirements and define the platform roadmap
• Drive and coordinate cross‑R&D product workflows and initiatives
• Participate in code reviews and ensure adherence to coding standards and best practices

Requirements

• BSc in Computer Science, Engineering, or equivalent.
• 5+ years of hands‑on experience in Platform Engineering, Software Engineering, or Data Infrastructure roles, focusing on building large, complex, and scalable data infrastructures
• Solid understanding of Big Data paradigms (distributed systems, partitioning, data modeling) and experience optimizing performance in data warehouses like Snowflake (or similar)
• Strong proficiency in a programming language (Python preferred) for building scalable backend services
• Deep experience with AWS infrastructure and services that support data platforms
• Experience implementing operational platform features related to Data Governance, Data Security, FinOps, and Data Quality
• Solid understanding of software design principles (concurrency, synchronization, memory management, data structures, cost analysis)
• A high degree of autonomy, a strong sense of ownership, and the ability to drive technical initiatives independently

Will be a plus

• Experience or strong interest in applied Generative AI for data automation
• Experience with containers and orchestration (Docker, Kubernetes)
• Deep experience with SQL
• Experience with self‑service transformation tools like dbt
• Experience with Frontend development (e.g., React, Angular) as we build the platform's UI end‑to‑end

What we offer

• Competitive salary and benefits package
• Medical insurance
• Top equipment kit
• Full Remote
• Collaborative and innovative work environment
• Career growth and development opportunities
• A chance to work with a talented and driven team of professional

About the project

This AI‑first company helps modern businesses shift from growth‑at‑all‑costs to efficient, responsible growth, with a strong focus on unit economics. Its platform removes guesswork from customer value creation by turning data into clear, actionable recommendations—helping teams acquire, nurture, and retain the customers who matter most, at the right time and with the right actions. The solution is trusted by well‑known digital brands and is used across major ad networks and customer engagement tools to improve acquisition efficiency, optimize incentives, and time lifecycle moments like upsells—often delivering meaningful ROI uplift. The company is venture‑backed, has been growing rapidly year over year, and operates with a globally distributed team across multiple hubs in the US and Israel.

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