Top Tech Jobs & Startup Jobs in Singapore

Design, build, and optimize distributed infrastructure systems and API services for internal developers. Automate repetitive tasks, implement observability and monitoring, apply security best practices, and develop documentation and test cases. Work under mentorship on a defined infrastructure platform project.

Research network-device vulnerabilities and exploits, demonstrate how exploitation compromises devices, and develop a detection tool to identify vulnerabilities and active exploitation. The intern will investigate at least one vulnerability, troubleshoot and debug software, present findings, and demonstrate the tool. Applicants should be proficient in programming and scripting, Linux, operating-system concepts, and basic vulnerability discovery and exploitation. Experience with firewalls or other network devices is advantageous.

Under the guidance of a mentor, the intern will design, build, and improve workplace technology platforms and end-user services. Responsibilities include developing deployable prototypes, applying software, security, DevOps, and SRE practices, improving platform reliability, researching technologies, documenting findings, and presenting solutions to management and users.

Software Engineering Interns will clarify project requirements, conduct technology scans and proofs of concept, and design, develop, test, and deliver software systems under mentorship. Projects may include web applications, internal workflow interfaces, data visualizations, content search and filtering, backend microservices, object storage, and graph databases. Interns will present completed systems to management and users.

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.

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.