Top Tech Jobs & Startup Jobs in Singapore

The Staff Systems Engineer will support and enhance development tools for Visa's Development community by engineering vendor products, maintaining developer tools, enforcing governance on CI/CD practices, and supporting complex technical issues. The role includes interfacing with Cybersecurity, managing tool performance, and participating in a support rotation.

As a Client Care Support at Visa, you will respond to customer inquiries related to Visa products via inbound calls, ensuring a positive customer experience. Responsibilities include processing requests, providing information on services, and collaborating with peers to meet quality standards.

The Senior Manager, Sales Engineering at Visa is responsible for leading technical pre-sales consultations and implementations of payment processing solutions. This includes collaborating with sales and product teams, conducting presentations, and providing technical expertise for card present solutions to various stakeholders, ensuring client integration and revenue growth.

The Senior Software Test Engineer at Visa is responsible for identifying and resolving issues of simple to moderate complexity. They design, create, execute, and report on functional tests against multiple applications, research technical solution alternatives, and follow quality control processes. This role also involves identifying software defects, troubleshooting system issues, and collaborating with various teams to ensure timely and quality delivery of testing deliverables.

As an Implementation Analyst at Visa, you will manage project implementations for clients, analyze card program requirements, and communicate complex technical concepts. You'll coordinate with stakeholders, maintain project documentation, and ensure project delivery aligns with client expectations. Building positive relationships and contributing to a collaborative team culture is key.

The Senior Software Engineer at Visa is responsible for designing and developing AI-based solutions for reliability engineering, focusing on creating scalable, low-latency AI processing systems. The role involves mentoring junior team members, implementing innovative software architectures, and leading algorithm development and problem-solving in AIOPS contexts.