Top Tech Jobs & Startup Jobs

Design, deploy, and optimize secure, scalable cloud environments on AWS and Kubernetes; automate infrastructure with IaC; build CI/CD pipelines; implement observability; troubleshoot containers and distributed systems; and work directly with enterprise customers to deliver and support production-grade deployments.

Develop, deploy, and maintain scalable microservices and data-heavy applications using Kubernetes, Go, Python, Protobuf, gRPC, REST APIs, and streaming technologies. Optimize large datasets, work with Kafka and Helm, and collaborate with senior engineers to deliver reliable enterprise solutions.

Lead customer-facing, end-to-end AI engagements: design and ship agentic AI systems, LLM applications, and production ML pipelines; build scalable backend services and integrations; implement guardrails and monitoring; coordinate cross-functional delivery; mentor junior engineers; and represent H2O.ai in technical briefings and pre-sales activities.

Lead end-to-end technical engagements to design, build, and deploy agentic AI and LLM-powered applications (RAG, fine-tuning, multi-agent systems). Own full ML lifecycle, backend services, integrations across cloud/on‑prem, and production LLMOps. Coordinate cross-functional teams, mentor junior engineers, and represent H2O.ai in customer workshops and executive briefings to deliver production-grade, compliant AI solutions.

Lead development of automation frameworks and tools to automate system, acceptance, and integration tests. Design, build, deploy scalable microservices using Go/Java/Python, Kubernetes, Protobuf/gRPC and REST. Optimize large datasets, work with streaming data (Kafka), deploy with Helm, debug and maintain high-quality code, and mentor engineers.

Customer-facing role delivering end-to-end Generative/Agentic AI solutions: problem definition, data prep, model development, deployment, monitoring, LLM selection/fine-tuning/RAG, training workshops, and solution design using H2O tools to translate technical outputs into business value.

Design, deploy, and maintain secure, scalable cloud environments and production-grade Kubernetes clusters on AWS. Automate infrastructure with IaC (Terraform/Ansible/CloudFormation), build CI/CD pipelines, implement observability, troubleshoot containers and distributed systems, and work directly with enterprise customers to support deployments and incident resolution.

Support Singapore marketing team with event coordination, administrative tasks, social media and content scheduling, marketing data tracking, collateral creation, and partner portal/build tasks while gaining exposure to B2B tech marketing and generative AI.

Lead pre-sales technical engagements for enterprise AI adoption: run discovery, design architectures and agentic/GenAI solutions, execute demos/POCs, guide cloud/Kubernetes deployments, and influence product direction while supporting sales and customers through pilots to production.

Design, build, and maintain scalable back-end services (Python/Java/Go) and responsive front-end interfaces (React/TypeScript). Translate product concepts into technical designs, implement CI/CD pipelines, perform code reviews and testing, monitor and optimize production systems, and collaborate with cross-functional teams to deliver reliable cloud-native, microservices-based software.