Customer Support Engineer

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH.

H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users.

H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. 

About This Opportunity

As a Customer Support Engineer at H2O.ai, you will play a critical role in ensuring our customers have a seamless experience deploying and managing machine learning models in production. You will be the bridge between our engineering teams and customers, providing hands-on technical support, troubleshooting complex issues, and helping users optimize their MLOps workflows.

This role is ideal for someone who enjoys problem-solving, has a deep understanding of Kubernetes-based architectures, and thrives in a customer-facing environment. You will work closely with our developers, data scientists, and DevOps teams to ensure smooth deployments and high availability of models. Additionally, you will have the opportunity to contribute to our platform's evolution by providing valuable insights from customer interactions.

If you're excited about working on cutting-edge cloud-native solutions, enabling real-time AI applications, and being part of a highly skilled team pushing the boundaries of MLOps, we’d love to hear from you!

This position is based in Bangalore, India.

What You Will Do

• Engage with customers to identify and troubleshoot issues they face and answer technical questions.
• Analyze bug reports, reproduce issues, determine the root cause,  and provide fixes.
• Provide design for new features focusing on the approach and patterns to solve the problem.
• Responsible for writing code along with relevant unit test cases.
• Contribute to end-to-end automated tests by ensuring that the newer changes have relevant test cases. Knowledge of Python would be beneficial in this area.
• The company uses Kubernetes widely and working with Kubernetes would be an important aspect of the job.
• Review the design and code of other developers. Be engaged in the best software development practices and engage in improving the engineering efficiency of the team.
• Write Infrastructure Code using Terraform and Helm charts for any changes to infrastructure.

• Strong knowledge: Linux, Bash, File systems, Logging, Linux file permissions.
• 2+ years of Kubernetes and Docker.
• 2+ years of Software Engineering.
• At least one of: AWS, Azure, GCP.
• At least one of: GoLang, Python, C++, Java.
• Terraform and Helm.
• Relational Databases (e.g. SQL).
• Networking concepts and fundamentals (e.g. SSL, UDP/TCP, firewalls, and reverse proxies).
• Strong communication skills and comfortable being in a customer-facing role.
• Bachelor’s or a higher education degree in Computer Science/Engineering or related field.

• Experience with gRPC.
• Experience with Scala and Akka.
• Experience with Druid Database.
• Understanding of mainstream machine Machine Learning frameworks such as sklearn, pytorch and data science libraries like numpy and pandas.

• Market leader in total rewards
• Remote-friendly culture
• Flexible working environment
• Be part of a world-class team
• Career growth