Product Reliability Engineer - Iguazio

Who You'll Work With

Iguazio is a leading AI and machine learning company based in Herzliya. Recognized for helping enterprises deliver enterprise-wide analytics at scale, Iguazio’s advanced Machine Learning Operations (MLOps) pipeline enables clients to streamline and manage their AI, from the initial concept all the way to production, in a simplified and automated manner.

The Dev Support Team’s responsibility is to investigate and solve intrinsic problems, find smart and elegant workarounds (written in Python and Bash), build, and characterize support tools and utilities.

What You'll Do

On this role you will develop and maintain effective communication channels with both internal teams and external clients to ensure seamless information flow.

You will gain an in-depth understanding of Iguazio's technology and infrastructure, identifying and mastering the most intricate areas.

You will take full ownership of customers’ technical product issues from initial troubleshooting through to resolution, including writing Root Cause Analyses (RCAs) and communicating findings.

Also, you will develop supportability tools for internal teams and external clients to enhance the usability and maintenance of Iguazio's products.

You will lead problem-solving efforts for the entire technology stack in collaboration with clients and internal teams. Act as a consultant on infrastructure best practices, focusing on reliability and scalability.

You will lead and manage Iguazio's deployments across cloud platforms - AWS, Azure, Google Cloud.

Work closely with developers, product managers, and the architecture team to ensure cohesive operations, while developing and providing comprehensive procedures for the operation and maintenance of Iguazio’s platform.

Create and lead initiatives to improve support processes across the company.

Qualifications

• 5+ years of experience in troubleshooting and recovery procedures, with hands-on experience in L3/ development support
• Extensive work experience with Docker and orchestration systems (e.g Kubernetes), cloud services (AWS, Azure, Google Cloud), and Linux environments
• Strong troubleshooting skills at a developer level, with proficiency in writing scripts (Bash, Python)
• Excellent verbal and written English communication and presentation skills
• Familiarity with MLOps technologies and implementations
• An academic degree in Computer Science, Industrial Engineering, or a related field