Melio Data Infra Tech Lead 

Israel, Tel Aviv District, Tel Aviv-Yafo 

604514155

Qualifications:

• 7+ years of experience in data infra or backend engineering.
• Strong knowledge of data services architecture, and ML Ops.
• Experience with cloud-based data infrastructure in the cloud, such as AWS, GCP, or Azure.
• Deep experience with SQL and NoSQL databases.
• Experience with Data Warehouse technologies such as Snowflake and Databricks.
• Proficiency in backend programming languages like Python, NodeJS, or an equivalent.
• Proven leadership experience, including mentoring engineers and driving technical initiatives.
• Strong communication, collaboration, and stakeholder management skills.

Bonus Points:

• Experience leading teams working with serverless technologies like AWS Lambda.
• Hands-on experience with TypeScript in backend environments.
• Familiarity with Large Language Models (LLMs) and AI infrastructure.
• Experience building infrastructure for Data Science and Machine Learning.
• Experience collaborating with BI developers and analysts to drive business value.
• Expertise in administering and managing Databricks clusters.
• Experience with streaming technologies such as Amazon Kinesis and Apache Kafka.

A day in the life and how you’ll make an impact:

You will:

• Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
• Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
• Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
• Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
• Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
• Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
• Partner with cross-functional teams to integrate data and machine learning models into products and services.
• Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
• Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.

About the hiring department:

Read more about our Engineering department