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Job Details
we are a leading provider of cloud infrastructure management and monitoring solutions. We empower organizations to efficiently manage their cloud resources, identify issues, and gain insights. Our service enables businesses to optimize their cloud usage, improve security, and achieve greater operational efficiency.
Role Description
This is a full-time, on-site role for a Data Engineer at our company Ltd., located in Haifa. The Data Engineer will design, build, and maintain scalable data pipelines, implement robust Extract, Transform, Load (ETL) processes, and develop efficient data models to support business intelligence and data analytics needs. The role also involves building and improving data warehousing solutions and collaborating with cross-functional teams to ensure data integrity and optimize workflows.

A True Problem Solver Were looking for a Senior DS who thrives on End-to-End ownership. You aren't just given a dataset; you identify the business opportunity, architect the mathematical solution, and write the high-quality, production-ready code that brings it to life. This is the ultimate "DS Candy Store" for those who love research but live for the adrenaline of seeing their code drive real revenue.
What Youll Do:
End-to-End Ownership: Own the entire lifecycle: from defining the business problem and KPI to deploying and monitoring the solution in production
High-Scale Architecture: Design and implement ML models & handling high-cardinality data at massive scale
Engineering Excellence: Write clean, modular, and scalable code. We believe great Data Science is built on a foundation of great Software Engineering
Strategic Leadership: Mentor the team through complex technical hurdles and contribute directly to our algorithmic roadmap

Responsibilities
Engage with prospect organizations to position Cloud solutions through strategic value-based solution proposals, references, and analyst data.
Work with Vendor account teams to develop and drive pipeline, providing additional guidance.
Serve as the primary customer contact during bid submission, pilot test, legal review, and procurement. Keep records of customer interactions and provide quarterly projections.
Building and cultivating lasting relationships.
Build a pipeline of customers within selected verticals.
Leverage our company Engineering and Marketing resources, and provide input on current collateral materials and ideas on how to improve them.

As a Senior Backend Engineer on the Exchange Engine team at our company, you will be a driving force behind the core systems of our massive mobile advertising platform. You will tackle complex architectural challenges where every millisecond counts, building real-time, highly concurrent systems that process millions of requests per minute. In this position, your impact extends beyond feature implementation; you will take charge of major initiatives, architect core systems, and raise the bar for engineering excellence across the entire team.

Key Responsibilities
Architectural Design & Execution: Lead the end-to-end design, development, and delivery of complex, scalable, and highly available backend services for our real-time ad exchange. Architect systems with a focus on long-term maintainability, ensuring that large-scale changes and migrations are predictable and low-risk.

Performance Optimization: Profile, tune, and optimize system performance to ensure ultra-low latency and high throughput under massive concurrent loads.

Technical Mentorship: Act as a technical multiplier by mentoring junior and mid-level engineers, conducting rigorous code reviews, shaping technical standards, and promoting software engineering best practices.

Cross-Functional Leadership: Collaborate directly with Product Managers, Data Scientists, and other engineering squads to translate complex business requirements into robust technical solutions and to understand the revenue journey, ensuring technical decisions directly support market competitiveness and platform growth.

Production Excellence: Own the lifecycle of your services in production. Implement advanced monitoring, alerting, and observability to troubleshoot and resolve deep-system production incidents.

Infrastructure Collaboration: Work closely with DevOps to optimize our deployment pipelines and cloud infrastructure (Kubernetes, GCP).

AI-Driven Engineering: Leverage modern AI coding assistants and agentic tools to accelerate development velocity, automate routine tasks, and free up cognitive load for complex architectural challenges.

At our company, were passionate about what we do. We work as a team and embrace new ideas, wherever they come from. We also enjoy all the benefits of a startup environment.

Feel youre up for the challenge? We encourage you to apply!

About the position:
we are looking for a team leader to lead the Data Pipeline engineering team. Our team is made up of strong, all-around players, well-experienced, highly motivated, independent, innovative, fast learners, great problem solvers, and great people to work with.

Our engineering challenges involve big data and stream processing in super high-scale environments, which keeps on increasing as the customers increase their usage and new customers join. Furthermore, we are seeking better ways to accurately analyze traffic patterns, identify attackers and attack vectors, and provide customers with improved visibility into their security posture.