ANALYST PROGRAMMER

Westrama Management S; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Westrama Management S in Singapore is seeking a highly specialized Analyst Programmer to architect, develop, and maintain mission-critical trading and transit logistics systems. This role blends deep engineering with domain knowledge in international transit operations and financial data modelling for low-latency transaction platforms.

You will design scalable architectures, implement secure APIs, and lead modernization of legacy platforms toward cloud-native microservices (AWS/Azure).

Qualifications

• Master’s degree and 3+ years in enterprise software in trading/logistics/finance.
• Expert backend in Java/C++/Python; strong frontend in React/Angular.
• Experience with TDD, CI/CD, Agile/Scrum environments.

Responsibilities

• Design and deploy scalable, low-latency enterprise apps to support trading and transit operations.
• Develop and maintain secure API integrations (REST, SOAP, EDI, FIX) with global partners.
• Engineer time-series data pipelines for real-time analytics and route optimization.
• Lead legacy modernization to cloud-native microservices (AWS/Azure).
• Perform performance tuning and query optimization to ensure high uptime.
• Ensure PDPA compliance and align with international trading standards.
• Provide Tier-3 escalation support for critical outages, with occasional on-call.

Skills

Java

C++

Python

React

Angular

TDD

CI/CD

Docker

Kubernetes

Security

Education

Master’s degree in Computer Science or related field

Tools

Jenkins

PostgreSQL

Oracle

Time-series Databases

REST APIs

SOAP

EDI

FIX protocol

AWS

Azure

Linux

Job description

RoleOverview

We are seeking a highly specialized Analyst Programmer to architect, develop, and maintain mission-critical proprietary trading and transit logistics systems. This role requires a hybrid profile combining deep technical engineering with complex domain knowledge in international transit operations and financial data modelling. You will handle full-stack development for low-latency transaction platforms, requiring rigorous adherence to security, data integrity, and cross-border regulatory compliance.

Core Responsibilities

• System Architecture & Development: Design and deploy highly scalable, low-latency enterprise applications to support high-volume transit and trading operations.
• Complex Integrations: Develop and maintain secure API integrations (e.g., REST, SOAP, EDI, and FIX protocols) between internal trading systems, global shipping operators, and financial clearinghouses.
• Data Modelling & Quantitative Analysis: Engineer complex data pipelines and utilize time-series databases to support real-time algorithmic trading decisions and transit route optimization.
• Legacy Modernization: Lead the technical migration of legacy logistics platforms to secure, cloud-native microservices architectures (AWS/Azure).
• Performance Tuning: Conduct aggressive performance profiling, memory leak analysis, and query optimization to ensure 99.99% system uptime during peak global trading hours.
• Security & Compliance: Implement rigorous data encryption protocols and ensure all systems comply with the Personal Data Protection Act (PDPA) and international financial trading standards.
• Technical Leadership: Act as the Tier-3 escalation point for critical system outages, requiring occasional on-call availability during overlapping global market hours.

Minimum Requirements

• Education: Master’s degree in science, engineering management, computer science, Software Engineering, Quantitative Finance, or a deeply related technical discipline.
• Experience: A minimum of 3 years of hands‑on, post‑graduate experience specifically developing enterprise software within the trading, maritime logistics, or financial services sectors.
• Advanced Tech Stack: Demonstrable expert‑level proficiency in backend languages (Java, C++, or Python) and frontend frameworks (React or Angular).
• Database Mastery: Deep expertise in relational databases (PostgreSQL, Oracle) and experience with time‑series or NoSQL databases tailored for high‑frequency data.
• Domain Expertise: Proven understanding of trade lifecycles, global supply chain data standards, and electronic trading protocols (e.g., FIX).
• Methodology: Strong background in Test-Driven Development (TDD), CI/CD pipelines (Jenkins, Docker, Kubernetes), and strict Agile/Scrum environments.
• Aptitude: Ability to translate complex quantitative models and transit logistical requirements into deployable production code under strict deadlines.