Top AWS Jobs in Singapore

Serve as a senior technical advisor to enterprise customers using Imperva’s data security suite. Lead customer enablement, health checks, executive reviews, security roadmaps, compliance assessments, and incident escalations. Advise stakeholders on database security, cloud security, risk management, and regulatory frameworks. Analyze trends, support audits, provide training, maintain account processes, and relay customer feedback to Product and Engineering teams.

Drive Lakebase revenue across strategic Greater China enterprise accounts by identifying, qualifying, and closing complex opportunities. Partner with account executives, solution architects, product, marketing, and partners to sell managed Postgres for operational and AI-driven applications. Lead discovery, value selling, POCs, negotiations, migrations, and executive engagements while enabling the field and shaping market strategy. Success requires enterprise SaaS sales expertise, technical architecture fluency, strategic account leadership, and Mandarin proficiency.

Develop and deploy production-grade AI and machine learning solutions, including agentic and multi-agent systems. Design scalable microservices, APIs, event-driven architectures, ML pipelines, and MLOps processes. Lead technical design, mentor engineers and data scientists, conduct code reviews, and collaborate across product and platform teams. Apply advanced AI techniques across areas such as NLP, computer vision, recommendations, and predictive analytics while ensuring system performance, reliability, and maintainability.

Develop and deliver software solutions and system integrations for Wealth Core Banking. Design, implement, deploy, and optimize RESTful microservices, ensuring scalability, performance, reliability, and observability. Work with Temenos Transact, cloud-native architectures, containers, CI/CD, APIs, application servers, messaging platforms, and Java-based frameworks. Collaborate with cross-functional teams to translate requirements into clean, efficient, maintainable applications.

Own and improve multi-cloud production infrastructure across GCP, AWS, and Azure. Build developer platforms, CI/CD pipelines, deployment automation, Terraform modules, and production Kubernetes environments. Lead incident response, root-cause remediation, observability, networking, security, cost optimization, and reliability initiatives. The role requires hands-on automation and programming, collaboration with security and application teams, mentoring, global on-call participation, and regular overlap with U.S. Pacific Time.

Designs and maintains scalable batch and real-time data pipelines, data warehouses, lakes, marts, and APIs. Extracts, cleans, transforms, and integrates data using cloud platforms and big-data frameworks. Develops reliable ETL/ELT solutions, supports backend applications, applies data governance and security practices, and collaborates with architects, analysts, developers, designers, and project managers in an Agile environment.

Responsible for quality assurance of domestic and cross-border payments and FX workflows in Asia Pacific. Performs functional, integration, regression, API, exploratory, and end-to-end testing; validates SWIFT and ISO 20022 messaging; develops automated tests for APIs, UIs, and backend services; and uses Java, Python, JavaScript, or TypeScript with AWS and CI/CD tools. Investigates defects across payment messages, databases, APIs, and logs while collaborating with engineering and business teams.

Own reliability, availability, performance, observability, incident response, and recovery for a major product. Build resilient application and infrastructure systems on AWS, define SLOs and error budgets, reduce operational toil through automation, and develop an agentic SRE platform with secure runbooks, audit trails, rollback, and escalation. Establish production practices, lead incidents, and collaborate across global engineering teams.

Serve as the primary post-sales delivery lead for strategic Singapore public sector customers. Orchestrate Microsoft and partner resources, develop customer success plans, manage program reviews, align technology adoption with business outcomes, track consumption milestones, improve product usage, and identify retention risks. Build stakeholder relationships and provide consultative guidance across Microsoft cloud platforms and services.

Lead enterprise technical presales for Okta’s identity security platform across ASEAN. Partner with account executives, advise senior stakeholders, conduct discovery, design identity and cybersecurity solutions, deliver demonstrations, workshops, and proofs of concept, and address technical objections. Guide customers on IAM, Zero Trust, cloud security, AI security, and identity governance while collaborating with partners, Product Management, Engineering, and global Solutions Engineering teams.

Designs and delivers secure, scalable enterprise architectures across cloud, hybrid, web, mobile, backend, data, and AI/ML environments. Partners with financial services clients on digital transformation, leads architecture reviews and proofs of concept, documents systems using industry modeling methods, and guides engineering teams through delivery. The role also mentors engineers, supports agile teams, and ensures architectural quality across complex, regulated environments.

Leads customer-facing technical engagements across discovery, solution design, architecture, demonstrations, proofs of concept, and platform adoption. Builds production-quality data and AI solutions using Databricks, cloud platforms, Python, SQL, and distributed data technologies. Partners with account executives on technical strategies, presents competitive differentiation, develops reusable technical assets, and supports customers in the Greater China Region in Mandarin.

Leads client-facing data transformation initiatives for high-profile financial services clients. Responsibilities include gathering business requirements, translating needs for technical teams, managing data projects, developing client solutions, building teams, supporting RFPs, and applying expertise in finance, data integration, ETL, and data modeling. The role also drives strategic improvements, maintains executive client relationships, and advises stakeholders on emerging technologies and industry trends.

Leads strategic data transformation initiatives for high-profile financial services clients. Responsibilities include managing client relationships, gathering business requirements, guiding data integration and modeling solutions, overseeing delivery, building teams, supporting RFPs, and advising on finance and fund administration data solutions. The role requires strong leadership, client-facing communication, financial services expertise, and knowledge of data technologies.

Manage and grow customer relationships across Japan and APAC, oversee support escalations, negotiate long-term commitments, identify cloud workload and cost-optimization opportunities, generate new-logo sales, conduct quarterly business reviews, and coordinate with cloud vendors and engineering teams. The role requires Japanese and English fluency, technical aptitude, and occasional regional travel.

Develop and deliver software features across architecture, design, implementation, testing, security, performance, and documentation. Collaborate with Product Owners and multinational agile teams to deliver regular product increments, contribute to automated testing, and support technical quality. The role also involves learning and applying cloud, containerization, cybersecurity, data lake, and agentic development technologies.

Develop and deploy Java microservices for Trading Technology using reactive programming, Kafka, IBM MQ, Kubernetes, Redis, and AWS. Contribute to API and domain-driven design, testing, code reviews, scalability validation, monitoring, security, and technical documentation. Apply CI/CD, DevOps, TDD/BDD, distributed systems, and enterprise-approved AI-assisted development practices while supporting secure, scalable, event-driven applications.

Owns the SOC capability roadmap, backlog, technology portfolio, vendor strategy, budget, KPIs, and governance alignment. Translates business risk, compliance obligations, and threat intelligence into prioritized detection, automation, monitoring, and analyst-enablement capabilities. Leads stakeholder engagement, sprint planning, vendor evaluations, reporting, operational reviews, detection lifecycle improvements, and post-incident remediation. Requires deep SOC operations knowledge, cybersecurity experience, strategic product or SOC leadership experience, and familiarity with SIEM, SOAR, EDR, cloud security, and regulated environments.

Provide client-facing SAP Basis consulting across implementation, upgrades, support, troubleshooting, root cause analysis, cloud migration, and database administration. Manage SAP environments including ECC, S/4HANA, HANA, PI/PO, BW/4HANA, Fiori, and Cloud Integration across AWS, Azure, on-premise infrastructure, Windows, and Microsoft SQL Server. Collaborate with technical and business teams while supporting maintenance, enhancements, and change requests.

Develop and govern cybersecurity assurance requirements for autonomous vehicles, including CSMS, TARA, UN R155/R156 compliance, supply-chain risk, monitoring, and incident response. Secure CAM’s digital products through architecture reviews, secure SDLC practices, CI/CD security, automated testing, and remediation. Establish policies, standards, playbooks, and security tooling while advising stakeholders, engaging regulators and industry partners, and mentoring engineers.

Designs, builds, and supports data pipelines, analytics platforms, and Generative AI solutions. Responsibilities include solution delivery, testing, deployment, production monitoring, troubleshooting, incident resolution, and applying data governance, security, and privacy controls. The role collaborates with analysts, data scientists, engineers, and business users while contributing to enterprise data and AI platform improvements.

Design, build, and operate production AI applications, agentic workflows, RAG systems, evaluation frameworks, and data pipelines. Own systems end to end, including architecture, testing, deployment, observability, reliability, and on-call support. Partner with analytics and business teams to deliver practical solutions, improve AI performance, and maintain robust data and context infrastructure. Mentor engineers and contribute to technical design, code reviews, and engineering standards.

Support DataOps and MLOps initiatives by building data pipelines, designing database schemas, implementing data quality monitoring, and assisting with model tracking, versioning, and deployment. Contribute to CI/CD workflows using GitHub Actions or Jenkins, investigate AI and data platform features, and document findings. The role provides hands-on experience while collaborating with experienced AI and data platform engineers.

The role involves conducting security risk assessments, application security reviews, and cloud security assessments, assisting with security policies, and collaborating with team members for project delivery.

The role involves overseeing IT platforms, managing technology and applications, ensuring compliance, leading teams, and driving digital workplace projects.