Top Tech Jobs & Startup Jobs in Singapore

Design and implement core features for Apache Ozone, Apache Ratis, and HDFS. Develop scalable distributed storage systems, contribute to open-source projects, and work on storage access layers supporting large-scale data platforms. Apply strong backend engineering, Java or C++ programming, data structures, algorithms, and knowledge of distributed systems, computer architecture, storage, networking, and I/O subsystems.

Provides technical and business consultation throughout the sales process, including customer discovery, requirements workshops, solution architecture, technical presentations, competitive positioning, and account strategy. The role designs and demonstrates enterprise data solutions, translates customer feedback into product roadmap input, supports evangelism, develops enablement materials, and mentors associate engineers. Candidates need extensive enterprise software and Big Data experience, strong Linux and architecture skills, and familiarity with data engineering, infrastructure, security, and governance.

Designs, investigates, and optimizes infrastructure for production AI workloads across GPU environments, on-premises datacenters, private infrastructure, and public clouds. Diagnoses Linux, GPU, container, networking, storage, and hardware issues; develops benchmarking, diagnostic, deployment, and validation tooling; improves inference performance, GPU utilization, reliability, and scalability; and translates technical findings into product capabilities in collaboration with engineering and product teams.

Embed with strategic customers to prototype, build, and productionize full-stack AI and agentic applications; advise on AI strategy, codify repeatable architectures and playbooks, mentor teams, and feed product feedback to improve enterprise AI platforms.

Drive customer adoption and success for strategic enterprise accounts by acting as trusted advisor. Plan and execute Success Plans, coordinate internal teams, manage escalations, analyze customer data, and ensure product adoption and project delivery.

Lead quote-to-cash and order management activities: review and approve quotes, process orders in the CRM, support deal calculations, troubleshoot systems, train sales teams, maintain data integrity, build reports, and partner cross-functionally to implement policies and improve sales operations.