Top Tech Jobs & Startup Jobs

Design, implement, and manage large-scale Big Data infrastructure, including Hadoop, Spark, data lakes, storage systems, clusters, and Kubernetes environments. Optimize performance, scheduling, scalability, security, governance, and availability. Support data engineers and scientists, manage capacity planning and infrastructure deployments, and lead engineering teams. The role also involves building streaming and batch pipelines, supporting search workloads, and deploying AI/ML infrastructure.

Leads undergraduate scholarship and internship programmes from recruitment and award administration through development, deployment, onboarding, and completion. Manages programme strategy, budgets, policies, operations, analytics, stakeholder engagement, and continuous improvement. Provides scholar and intern support, oversees team performance, and reports programme outcomes to senior management.

Manage Human Capital Management operations, including policy implementation, process reviews, stakeholder partnerships, senior-management support, and end-to-end appointment administration. Represent the community in policy discussions and coordinate with HR stakeholders to support effective staffing and long-term organizational outcomes.

Develop and maintain ETL data pipelines, optimize data flow and delivery, automate manual processes, and design scalable data infrastructure. Gather telemetry data to improve system efficiency and business metrics. Collaborate with cross-functional teams on requirements and data products, using databases, workflow tools, microservices, and APIs. Preferred experience includes Agile development, monitoring, fault-tolerant pipelines, big data technologies, and search engines.

Build and maintain full-stack, cloud-native enterprise applications supporting finance and procurement workflows. Responsibilities include developing APIs and integrations, writing maintainable code, creating CI/CD pipelines, implementing observability, documenting technical decisions, participating in agile delivery and code reviews, collaborating with users and cross-functional teams, and contributing to internal engineering knowledge sharing. AI-enabled features and enterprise systems integrations are also part of the role.

Design and build full-stack, cloud-native enterprise applications that manage corporate data from ingestion through serving. Develop APIs, integrations, data pipelines, CI/CD pipelines, observability, and secure data synchronization across networks. Participate in agile sprints, code reviews, documentation, issue resolution, and technical knowledge sharing. The role may also involve integrating LLM and agentic AI capabilities.

Build full-stack, cloud-native web applications and enterprise integrations supporting HR and employee experience platforms. Develop APIs, maintain high-quality code, create CI/CD pipelines, implement observability, document technical decisions, participate in agile sprints and code reviews, resolve issues, and share engineering best practices. The role also involves integrating systems such as SAP and potentially adding LLM and agentic AI capabilities.

Lead end-to-end development of IoT and IIoT products, including system architecture, embedded hardware, firmware, PCB design, sensors, connectivity, edge computing, and cloud integration. Drive prototypes through mass production, validate and optimize system performance, collaborate across software, quality, operations, and external partners, and manage technical planning and risks. Apply cybersecurity, compliance, change control, and global IoT standards throughout product development.

Manage end-to-end recruitment for cybersecurity, data analytics and software engineering roles: partner with hiring managers, source and screen candidates, manage offers and placements, and maintain talent pipelines and scholarship management.

Build scalable full-stack applications and high-performance APIs using JavaScript, TypeScript, Python, or Java. Integrate AI capabilities including RAG, autonomous agents, LLM interfaces, vector search, and embeddings. Design MongoDB and Elasticsearch data solutions, manage cloud-native infrastructure and CI/CD pipelines, and collaborate with designers, data engineers, and product managers. The role supports Singapore national security analytical platforms and requires Singapore citizenship.