Customer Support Engineer

Overview

Customer Support Engineer – H2O.ai

Location: Bangalore, India | Job Type: Full-Time | Remote: Flexible

Company Overview

Founded in 2012, H2O.ai is at the forefront of democratizing Generative AI. Our cutting-edge AI solutions, including:

• Enterprise h2oGPT
• Document AI
• AutoML Driverless AI

We have transformed over 20,000 global organizations, including Fortune 500 companies like AT&T, Commonwealth Bank of Australia, Chipotle, ADP, Workday, Progressive Insurance, and AES.

Our “AI for Good” initiative supports nonprofits in advancing education, healthcare, and environmental conservation, helping in disaster prediction and species protection.

H2O.ai is recognized as a Visionary in the 2024 Gartner® Magic Quadrant™ for Data Science & Machine Learning Platforms. We are the only provider offering both Predictive AI and Generative AI on-premise and air-gapped, supporting all cloud environments.

Learn more at www.H2O.ai

About the Role – Customer Support Engineer

As a Customer Support Engineer, you will play a key role in ensuring customers have a seamless experience in deploying and managing ML models in production. Acting as a bridge between engineering teams and customers, you will provide hands-on support, troubleshoot complex issues, and help optimize MLOps workflows.

If you thrive in a customer-facing role, enjoy solving technical challenges, and have a strong background in Kubernetes-based architectures, this role is for you!

Key Responsibilities

• Engage with customers to identify and troubleshoot issues, providing technical support.
• Analyze bug reports, reproduce issues, determine root causes, and implement fixes.
• Design and develop new features, ensuring best coding practices.
• Write code with unit test cases and contribute to end-to-end automated tests (Python knowledge beneficial).
• Work extensively with Kubernetes for deployments and infrastructure management.
• Review and improve design and code from other developers.
• Enhance engineering efficiency by following best software development practices.
• Write Infrastructure as Code using Terraform and Helm charts.

Required Skills & Qualifications

• 4+ years of Software Engineering experience
• 1+ years of experience in Kubernetes & Docker
• Strong expertise in Linux, Bash, File Systems, Logging, File Permissions
• Experience with at least one cloud provider (AWS, Azure, or GCP)
• Proficiency in at least one programming language: GoLang, Python, C++, or Java
• Experience with Terraform and Helm
• Understanding of Relational Databases (SQL)
• Strong knowledge of Networking concepts (SSL, UDP/TCP, Firewalls, Reverse Proxies)
• Strong communication skills and ability to work in a customer-facing role
• Bachelor’s or higher degree in Computer Science, Engineering, or related field

Preferred (Stand-Out) Skills

• Experience with gRPC
• Knowledge of Scala and Akka
• Familiarity with Druid Database
• Understanding of Machine Learning frameworks like sklearn, PyTorch and data science libraries like NumPy, Pandas

Why Join H2O.ai?

✔ Market Leader in AI & Machine Learning
✔ Remote-Friendly & Flexible Work Culture
✔ Career Growth & Learning Opportunities
✔ Be Part of a World-Class Team (Work alongside top Kaggle Grandmasters)
✔ Diverse & Inclusive Work Environment

H2O.ai is committed to creating an inclusive and diverse culture, offering equal opportunities regardless of race, ethnicity, religion, gender, sexual orientation, age, or disability.

If you’re passionate about AI, cloud-native solutions, and customer success, we’d love to hear from you!