Technical Lead

TOPPAN Ecquaria Pte Ltd; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A technology company in Singapore is seeking a Technical Development Lead to oversee enterprise software development. This role requires deep technical expertise and leadership to define technical architecture, guide development teams, and integrate AI technologies. Candidates should have extensive experience in software development, ideally 7 years, with a focus on architectural patterns and modern programming languages. Strong communication skills are essential for this pivotal position.

Qualifications

• Minimum of 7 years of experience in software development, with at least 3 years in a technical leadership capacity.
• Proven expertise in designing and deploying large-scale enterprise software applications.

Responsibilities

• Define and champion the technical design and architecture for software applications.
• Drive the evaluation and integration of AI technologies.
• Conduct proof-of-concepts for new technologies and tools.
• Provide hands-on guidance and mentorship to the development team.

Skills

Technical leadership

Software development

Architectural design

Cloud platforms (AWS, Azure, GCP)

Communication skills

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Tools

Java

Python

C#

SQL

NoSQL

Docker

Kubernetes

Job description

The Technical Development Lead will be a pivotal role and key driving force in our Software Engineering team, responsible for the end-to-end technical lifecycle of enterprise software applications. This role requires a blend of deep technical expertise, architectural design proficiency, and leadership capability to guide development teams and ensure the timely, high-quality delivery of robust and scalable solutions. The Lead will bridge the gap between high-level architectural strategy and day-to-day development execution.

• Define and champion the technical design and architecture for new and existing enterprise software applications, ensuring alignment with overall business strategy and technology standards.
• Lead technical discussions, perform design reviews, and ensure the implementation adheres to best practices in coding, performance, security, and scalability.
• Drive the evaluation and integration of Agentic Artificial Intelligence (AI) technologies to enhance application development capabilities and developer productivity.
• Conduct proof-of-concepts (PoCs) for new technologies and tools to determine their applicability to project needs.
• Provide hands‑on technical guidance, mentorship, and code reviews to the development team.
• Oversee the entire development cycle, from initial requirements translation through coding, testing, deployment, and ongoing maintenance/support.
• Act as the primary escalation point for complex technical issues, troubleshooting critical production incidents and leading rapid resolution efforts.
• Manage technical debt and advocate for improvements to system performance and maintainability.
• Lead the planning process for technical tasks, breaking down complex requirements into manageable user stories and assignments.
• Responsible for task allocation and resource management within the development team to optimize delivery timelines and workload distribution.
• Make critical technical decisions on a day‑to‑day basis, resolving roadblocks and delivery issues that impact project velocity.
• Track and report on technical progress, risks, and resource utilization to stakeholders and management.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Minimum of 7 years of experience in software development, with at least 3 years in a technical leadership or lead engineer capacity.
• Proven expertise in designing, developing, and deploying large‑scale enterprise software applications using modern architectural patterns (e.g., Microservices, Event‑Driven Architecture).
• Strong proficiency in a major programming language (e.g., Java, Python, C#) and extensive experience with database technologies (SQL and NoSQL).
• Deep understanding of cloud platforms (AWS, Azure, or GCP) and experience with containerization technologies (Docker, Kubernetes).
• Demonstrated ability to lead technical planning, estimation, and execution within an Agile framework.
• Experience driving the adoption and implementation of AI tools and techniques within a development team.
• Familiarity with ethical AI practices and model governance.
• Strong communication skills, capable of articulating complex technical concepts to both technical and non‑technical audiences.
• Experience in the government systems, financial services, healthcare, or similar highly regulated industry.