Top Tech Jobs & Startup Jobs

Provide advanced technical support for Microsoft 365 services, resolving complex SharePoint, PowerApps, and Microsoft Teams issues. Investigate outages, performance problems, integrations, and root causes using logs and diagnostic tools. Administer SharePoint permissions, site collections, and workflows; tune PowerApps performance and security; and manage Teams governance and call quality. Coordinate with Microsoft Support, document incidents and solutions, participate in post-mortems, and communicate updates to stakeholders.

Develop and maintain web applications using C#, SQL, Web API, MVC, Entity Framework, Clean Architecture, and unit testing frameworks. Collaborate with senior developers and cross-functional teams, apply standard software development practices, document code, solve technical problems, meet deadlines, and continuously build expertise in the development practice area.

Develop and maintain Python backend services, scalable web scraping systems, data pipelines, and customer-facing web services. Process large datasets, integrate third-party APIs, optimize SQL and NoSQL queries, ensure data quality and security, and write testable code. The role requires asynchronous programming, cloud services, performance optimization, independent work, and fluent English communication.

Own the full-cycle B2B sales process for the APAC market, from prospecting mid-market and PE-backed accounts through discovery, solution shaping, negotiation, and close. Build pipeline, meet revenue quotas, conduct consultative discovery, position digital product development engagements, coordinate with solution and delivery teams, mentor SDR activity, and forecast accurately. The role requires familiarity with Singapore and APAC markets, comfort with longer multi-stakeholder sales cycles, and the ability to work independently in a hybrid Singapore office environment.

Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory and Microsoft Fabric. Develop and optimize SQL queries, procedures, and functions; administer databases; improve data quality and performance; monitor and troubleshoot pipelines; use Azure services for data storage and processing; and collaborate with teams to deliver reliable data solutions.

Lead the company’s learning and development strategy, including technical and non-technical curricula, GenAI enablement, knowledge management, training programs, team leadership, vendor and budget management, and learning analytics. Build scalable learning infrastructure, identify skill gaps, measure program effectiveness, partner with executives and technical leaders, and foster continuous employee development and internal mobility.

Design and implement Databricks data pipelines, ETL processes, and large-scale data solutions. Collaborate with client technical teams, optimize clusters for performance and cost, troubleshoot workflows, ensure data quality and security, and advise on Databricks best practices and innovations.

Lead analytics and business intelligence activities supporting payment reconciliation, bank reporting, Finance year-end reporting, data pipelines, and occasional product A/B testing. Monitor and troubleshoot AWS DMS and Fivetran pipelines, maintain dbt-based analytics workflows, identify data issues, and deliver accurate insights. The role partners cross-functionally with Finance, Product, and Operations and requires strong SQL, data modeling, stakeholder management, communication, and business acumen without people-management responsibilities.

Build and manage the APAC top-of-funnel sales pipeline by researching target accounts, identifying decision-makers, executing outbound calls, email, and LinkedIn sequences, qualifying inbound leads, and routing opportunities. The role requires credible business-problem conversations involving operations, cost, AI, and custom systems, while maintaining accurate CRM data and partnering with account executives and delivery leads to advance qualified opportunities.

Design, develop, and maintain scalable data pipelines, models, transformations, and analytics solutions using Python, SQL, Snowflake, Azure, and Fivetran. Optimize queries and data platforms, integrate APIs and external systems, automate workflows, troubleshoot failures, and implement security, governance, testing, and documentation. Collaborate with stakeholders and engineering teams while leading initiatives that improve data platform performance and capabilities.