- Location
- SG
- Workplace
- Remote, Hybrid
- Type
- Full-time
- Department
- Healthcare
- Seniority
- Lead
- Closing date
- Today
- Source
- Vincere
Description
Engineering Team Lead
Job Type: Permanent
Location: Singapore, Hybrid Work Model
Salary: SGD 168,000 – 180,000 per annum + Insurance Benefits
Job Summary:
We are seeking an experienced and hands-on Engineering Manager to lead a high-performing team delivering scalable, data-intensive applications. This role requires a strong balance of technical leadership, people management, and strategic thinking, with the ability to stay close to the code while driving engineering excellence.
You will play a key role in shaping architecture, improving engineering practices, and ensuring the successful delivery of high-quality software in a fast-paced, globally distributed environment. Collaboration across EU and US time zones will be required.
Job Responsibilities:
Technical Leadership: Define architecture and platform strategy, drive best practices in scalability, performance, and reliability, and contribute hands-on to development and code reviews.
Data & Platform Engineering: Design and optimize data models, pipelines, and analytical workloads across large-scale systems, ensuring high performance and maintainability.
Stakeholder Management: Translate business needs into technical solutions, communicate trade-offs clearly, and coordinate delivery across global teams (EU & US time zones).
People Leadership: Lead, mentor, and grow a high-performing engineering team, driving hiring, performance management, and a culture of ownership and continuous improvement.
Required Technical Skills & Experience:
Core Engineering:
- Strong experience with TypeScript across Back-End and Front-End development.
- Expertise in building and maintaining RESTful and/or GraphQL APIs.
Data Engineering & Databases:
- Hands-on experience with analytical/columnar databases (e.g., ClickHouse, BigQuery, Redshift, DuckDB).
- Strong proficiency in PostgreSQL and MS SQL Server, including performance tuning and query optimization.
- Experience designing and optimizing large-scale data processing systems.
DevOps & Infrastructure:
- Strong experience with Kubernetes (deployment, scaling, troubleshooting in production).
- Hands-on experience with Helm and containerized application deployment.
- Familiarity with cloud platforms (preferably Azure, but AWS/GCP also relevant).
- Experience building and maintaining CI/CD pipelines using GitHub Actions.
Preferred:
- Experience working with OMOP CDM (Observational Medical Outcomes Partnership Common Data Model), including data modelling, ETL pipelines, and schema design.
- Exposure to healthcare data standards (e.g., HL7 FHIR, ICD, SNOMED, LOINC) is a plus.
- Experience working with large-scale unstructured data or analytics platforms.
- Familiarity with modern Front-End frameworks and analytics-driven UI components.
- Background in data-intensive platforms, research, or real-world data applications.
- Contributions to open-source projects is a plus.
