Software Engineer (Corporate Data Tech)

Responsibilities

Design and build full-stack applications using AI coding tools throughout the SDLC and hands-on development.
Build reliable APIs and integrations that connect digital products to enterprise systems.
Deliver high-quality, and maintainable code.
Write and maintain technical documentation (e.g. ADRs and RFCs).
Build CI/CD pipelines and ensure application observability through logging, metrics and monitoring.
Actively contribute to iterative sprint cycles by participating in peer code reviews, engaging with users, and proactively resolving issues.
Contribute to the technical community by sharing best practices, publishing internal tech blogs and leading knowledge-sharing sessions.
Design, build, and maintain robust pipelines to securely and efficiently move, transform, and sync data across disparate networks.

Requirements (Minimum Qualifications)

A degree or professional qualification in Computer Science, Software Engineering, Information Systems, or a related field.

Familiarity with modern web application development using technologies such as Spring Boot, React, Python.

Familiarity with relational databases (e.g. MSSQL), and NoSQL databases (e.g. MongoDB).

Familiarity with Search Engine (e.g. Elasticsearch).

Familiarity with Observability tooling and frameworks (e.g. OpenTelemetry).

Experience in integrating LLM and Agentic AI capabilities is a plus.

Technical expertise in the following areas is a plus: microservices, event-driven architecture, API design, data pipelines, ETL processes, and data synchronization mechanisms across networks.

Comfortable working in a small, fast-moving teams.

Candidates with at least three years of experience in software engineering may be considered for senior positions.