Engineering Team Lead

2 days ago
singapore sg Base Camp Recruitment Pte Ltd Full-time

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.

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