Top AWS Jobs in Singapore

As a kdb+ Engineer, you will develop and maintain applications, support project delivery, analyze time-series data, and mentor junior developers.

Lead design, implementation, and management of low-latency, highly available network infrastructure across colocation and data centers. Oversee 24/7 operations, incident response, monitoring, security, and collaboration with trading and development teams to optimize performance and reliability.

Lead technical delivery of projects, design kdb+ architectures for time-series data, mentor developers, and drive innovation in kdb+ systems.

Lead design, development, and deployment of scalable AI/ML applications and microservices on Kubernetes. Build end-to-end MLOps pipelines, mentor AI engineers, evaluate emerging LLM and GenAI tools, ensure observability and governance, and produce technical documentation and runbooks.

Lead enterprise sales for professional and managed services across ASEAN, leveraging established senior relationships to generate pipeline, manage complex multi-stakeholder deals, exceed quotas, and collaborate with internal teams and partners on cloud and data platform opportunities.

Lead enterprise sales for cloud and professional services across ASEAN. Build and execute account and territory strategies, generate qualified pipeline from an established network, manage multi-stakeholder long sales cycles, close complex deals, and partner with internal teams and alliances to exceed quotas.

Manage end-to-end delivery of IT solution projects for government and enterprise clients. Responsibilities include planning schedules and budgets, managing risks, resources, vendors, contracts, stakeholders, governance, quality, and project financials. Lead cross-functional technical teams and oversee delivery using Agile, Waterfall, or hybrid methodologies. The role requires technical literacy across cloud, enterprise applications, data, AI/ML, low-code solutions, and integrations, without requiring hands-on development.

As a Lead Data Scientist, you will improve dynamic pricing systems, lead ML projects, collaborate with teams, and analyze data for business impact.

Leads end-to-end delivery of large-scale application projects and programmes, managing scope, schedules, budgets, quality, risks, compliance and financial performance. Provides leadership and development for delivery teams, manages client and stakeholder relationships, supports presales and solutioning, and drives delivery governance and process improvement. The role requires experience with Agile or hybrid methodologies, Singapore public-sector projects, application technologies, cloud platforms and delivery certifications.

Maintain and deploy mission-critical applications and infrastructure across on-premise and cloud environments. Monitor system performance, troubleshoot incidents, support client infrastructure provisioning and upgrades, and provide escalation support to regional teams. Use Infrastructure as Code, automation, CI/CD pipelines, and observability tools to improve reliability and resolve recurring issues. Collaborate with security, development, and project teams while supporting global shift-based operations.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Leads the Solutions Architecture function across direct sales, cloud, partner, and solution-provider channels. Hires, coaches, and develops SAs; owns technical coverage, deal velocity, PoC win rates, technical qualification, escalations, playbooks, and pre-sale to post-sale handoffs. Partners with Sales, Partnerships, Engineering, Product, TAM, and Customer Engineering while contributing to strategic evaluations and team-wide ARR bookings.

Own the React Native application end to end, including architecture, performance, releases, app-store presence, and roadmap. Lead and mentor two mobile engineers, establish technical direction, and collaborate on engineering and product strategy. Deliver polished iOS and Android experiences, run experiments, measure growth and retention impact, and iterate rapidly. The role may help expand the mobile team as the app grows.

As a Senior Data Scientist, you will develop and deploy advanced AI models in deep learning, focusing on computer vision, voice, and text processing. Responsibilities include model optimization, performance evaluation, and collaboration with engineering teams.

The Lead Data Scientist will develop multilingual AI models, focusing on dataset creation and model training, while collaborating with product and engineering teams for deployment.

Lead and mentor a Singapore-based software engineering team building and operating high-throughput payout APIs and backend microservices. Own platform architecture, scalability, security, availability, SLA compliance, testing, documentation, and code quality. Drive Agile delivery, CI/CD automation, infrastructure provisioning, monitoring, and zero-downtime deployments. Collaborate with architecture, product, and global engineering teams to translate business needs into technical roadmaps.

Provides cybersecurity advisory and oversight for AWS cloud architectures and enterprise IT systems. Defines cloud security standards, conducts architecture reviews, manages vulnerabilities, incidents, risks, regulatory compliance, security roadmaps, budgets, and remediation. Leads security solutions across threat intelligence, identity and access management, data protection, privacy, and cyber program management while advising business and technology leaders.

Design, build, scale, and maintain cloud infrastructure for an enterprise reconciliation platform. Lead infrastructure architecture, deployment, availability, security, and continuous improvement across AWS and Azure environments. Provide technical direction and mentorship, own feature delivery, and establish engineering standards for architecture, coding, testing, and deployment. Work with distributed systems, Kubernetes, Terraform, Ansible, containerization, data infrastructure, and high-volume transactional workloads.

Design, develop, and maintain scalable Java backend applications and secure REST APIs using Spring Boot, microservices, and event-driven architecture. Build cloud-native data solutions, implement automated testing and CI/CD, manage Kubernetes deployments and production releases, and provide on-call support. Lead incident resolution, root cause analysis, observability, performance optimization, code reviews, mentoring, documentation, and continuous improvement.

Leads complex data platform initiatives spanning engineering, product, software, and bioinformatics teams. Owns program scope, schedules, budgets, staffing, risks, dependencies, quality, and delivery commitments. Partners with architects, product managers, engineers, stakeholders, and senior leaders to make technical tradeoffs, resolve issues, and govern execution. Drives agile software delivery, AI-enabled development, process improvement, and enterprise-scale programs in a regulated environment, with genomics or scientific data experience preferred.

Lead end-to-end implementation and adoption of Black Duck application security solutions for customers across China and Asia. Design implementation approaches, configure and validate solutions, integrate them with SDLC, CI/CD, and DevOps workflows, advise on secure development and vulnerability management, troubleshoot technical issues, and support customer adoption. Collaborate with account teams and global services stakeholders while managing delivery, risks, and customer relationships.

Lead customer implementations and adoption of Black Duck application security solutions. Design implementation approaches, configure and validate deployments, integrate security tools into SDLC, CI/CD, and DevOps workflows, advise on secure development and vulnerability management, troubleshoot technical issues, and guide customers toward effective adoption. Collaborate with account teams and global services stakeholders while supporting customers across China and Asia.

Designs and maintains conceptual, logical, physical, analytical, and dimensional data models supporting reporting, analytics, AI, and business decisions. Develops source-to-target mappings, transformation logic, data dictionaries, and integrated data assets. Profiles data sources, creates analytics tables, supports ingestion and transformation processes, and contributes to data quality, metadata, lineage, and governance. Collaborates with analysts, technology teams, and data platform teams to deliver scalable, reusable enterprise data solutions.

Develop and deploy end-to-end AI solutions for industry partners, from scoping and feasibility assessment through maintenance. Mentor AI apprentices through technical coaching, project delivery, and recruitment activities. Apply machine learning, generative AI, LLMs, software engineering, MLOps, and cloud technologies. Collaborate with external organizations to define requirements and deliverables, while supporting AI Singapore’s outreach, talent development, and ecosystem-building initiatives.

Support and enhance Exposure Management platforms, handle support tickets, configure, deploy, maintain products, and collaborate with cybersecurity teams.