Software Engineer (Golang)

EAMES CONSULTING GROUP (SINGAPORE) PTE. LTD.; Singapore; Presencial; SGD 120.000 - 180.000; Jornada completa

Descripción de la vacante

EAMES CONSULTING GROUP (SINGAPORE) PTE. LTD. is seeking an experienced Software Engineer to lead end-to-end development of scalable, secure systems for high-volume data exchange across strategic ecosystems.

It is a prime opportunity to drive technical architecture, build resilient backend services, and shape key foundational platforms within a collaborative product engineering team. Responsibilities include owning full life cycle deployment, guiding system design, and mentoring peers while

Formación

• At least 5 years of professional experience building and maintaining full stack applications in production environments.
• Strong hands on proficiency with Golang, Node.js, TypeScript, and React.
• Solid grasp of relational database architecture, schema design, and advanced SQL querying.
• Practical exposure to public cloud platforms such as AWS, GCP, or Azure, alongside Infrastructure as Code tooling like Terraform.
• Proven background in automated testing frameworks across unit, integration, and end to end scopes.
• Relevant academic qualification in Computer Science, Software Engineering, or related technical disciplines.
• Background in high throughput transactional systems, event streaming with Kafka, or analytical datastores is a clear advantage.

Responsabilidades

• Own the full life cycle architecture and deployment of performant, distributed web applications and data services.
• Direct system design choices, author technical specifications, and champion engineering standards through peer reviews and mentorship.
• Collaborate closely with cross functional product managers and designers to deliver iterative software updates.
• Ensure operational excellence by baking observability, telemetry, and automated unit or integration tests into all production services.
• Investigate emerging tooling, including machine learning workflows, to streamline internal delivery and maintain high code quality.

Conocimientos

Golang

Node.js

TypeScript

React

Kafka

SQL

Educación

Bachelor's degree in Computer Science or Software Engineering

Herramientas

Terraform

AWS

GCP

Azure

Descripción del empleo

This organisation is expanding its core engineering function and seeking an experienced Software Engineer. In this role, you will lead the end to end development of scalable, secure systems that facilitate high volume data exchange across strategic industry ecosystems. It is a prime opportunity to drive technical architecture, build resilient backend services, and shape key foundational platforms within a collaborative product engineering team.

Key Responsibilities

• Own the full life cycle architecture and deployment of performant, distributed web applications and data services.
• Direct system design choices, author technical specifications, and champion engineering standards through peer reviews and mentorship.
• Collaborate closely with cross functional product managers and designers to deliver iterative software updates.
• Ensure operational excellence by baking observability, telemetry, and automated unit or integration tests into all production services.
• Investigate emerging tooling, including machine learning workflows, to streamline internal delivery and maintain high code quality.

Requirements

• At least 5 years of professional experience building and maintaining full stack applications in production environments.
• Strong hands on proficiency with Golang, Node.js, TypeScript, and React.
• Solid grasp of relational database architecture, schema design, and advanced SQL querying.
• Practical exposure to public cloud platforms such as AWS, GCP, or Azure, alongside Infrastructure as Code tooling like Terraform.
• Proven background in automated testing frameworks across unit, integration, and end to end scopes.
• Relevant academic qualification in Computer Science, Software Engineering, or related technical disciplines.
• Background in high throughput transactional systems, event streaming with Kafka, or analytical datastores is a clear advantage.