Top Tech Jobs & Startup Jobs

Design, deploy, and maintain AWS and hybrid infrastructure across development, staging, and production. Administer cloud, virtualization, container, monitoring, security, and Infrastructure as Code platforms. Improve reliability through SRE practices, automation, observability, disaster recovery, and resilience testing. Troubleshoot platform issues with development teams while maintaining documentation and runbooks.

Design and deploy production-ready agentic AI systems for public-sector fraud detection. Build LLM workflows for emerging risk identification and detection logic, integrate AWS and enterprise data platforms, and develop tested Python applications and APIs. Establish evaluation, monitoring, CI/CD, observability, governance, security, human oversight, and responsible-AI safeguards while collaborating with data scientists, analysts, engineers, and business stakeholders.

Build and operate reliable production ML and AI systems across AWS and Databricks. Responsibilities include developing MLOps components, productionizing models, creating data and feature pipelines, optimizing Spark and SQL workloads, automating CI/CD and retraining, implementing governance and security controls, and establishing monitoring, evaluation, rollback, and incident-response practices. The role also supports generative AI, recommendation, and search workloads while improving reusable engineering patterns and transferring knowledge to internal teams.

Design, build, and operate production-grade batch and streaming data pipelines across AWS and Databricks. Develop lakehouse architectures, data models, quality controls, orchestration, lineage, monitoring, and security practices. Optimize Spark and SQL workloads, establish engineering standards, review designs and code, mentor engineers, and collaborate with data owners, analysts, data scientists, architects, and governance stakeholders. Support reliable, well-governed data products for analytics, reporting, and machine learning.

Develop and validate fraud-risk models for public training subsidies. Responsibilities include recalibrating thresholds, engineering features, evaluating model performance, monitoring data and concept drift, investigating anomalies, assessing emerging fraud schemes, and documenting analytical methods. The role requires collaboration with technical and policy stakeholders, clear communication of trade-offs, and reproducible Python and SQL workflows. Preferred experience includes imbalanced data, delayed labels, dashboards, MLOps, cloud data platforms, graph analytics, and public-sector datasets.

Leads large-scale technology project and program portfolios, overseeing delivery quality, financial performance, risk, governance, client relationships, and account growth. Manages executive stakeholders, project escalations, cross-functional delivery teams, and Project Managers. Supports bids, tenders, proposals, and strategic client engagements while ensuring commercial objectives, contractual commitments, customer satisfaction, and operational efficiency.

Monitor applications, infrastructure, and systems in a rotating 24x7 NOC environment. Respond to alerts, investigate and escalate incidents, manage support tickets, perform operational checks and maintenance, document incidents, coordinate with technical teams, and follow issues through resolution or handover. The role is suitable for fresh graduates with strong communication, ownership, analytical, problem-solving, and learning skills.

Senior QA Engineer responsible for advancing automation-first quality engineering across web, mobile, API, and backend systems. Duties include designing test strategies, building automated frameworks and suites, integrating tests into CI/CD pipelines, conducting API and regression testing, identifying quality risks, improving QA processes, and mentoring team members. Requires 5+ years of manual and automated testing experience, automation tool expertise, API testing, CI/CD experience, and programming or scripting knowledge.

Manages the full lifecycle of AWS cloud platforms across engineering, operations, and security. Responsibilities include infrastructure provisioning with IaC, CI/CD, Linux and Windows administration, networking, monitoring, patching, backup and disaster recovery, incident and change management, security controls, compliance, vulnerability remediation, and L2/L3 support. The role also supports automation, workload migrations, audits, and adherence to Singapore Government cloud and cybersecurity requirements.

Develop and execute B2B marketing strategies supporting revenue growth and expansion in Malaysia and Thailand. Own demand generation, pipeline targets, localized go-to-market plans, digital marketing, content, events, campaigns, partner relationships, and marketing analytics. Collaborate with sales, country managers, and leadership to generate qualified leads, improve funnel conversion, optimize investments, and measure marketing’s impact on pipeline, opportunities, and revenue.