Platform Engineer

EAMES CONSULTING GROUP (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

EAMES Consulting Group (Singapore) Pte. Ltd. is partnering with a mature organisation to strengthen its internal engineering platforms.

The role focuses on leading site reliability and software engineers, driving automation, and delivering self-service capabilities for technology teams. You will stay close to code to set engineering standards and measure adoption through reliable platforms. You will design scalable architectures, own a set of internal automation products, and collaborate with

Qualifications

• 8+ years in software engineering, incl. leading engineers or major initiatives.
• Strong full-stack development: Python/Django and a modern front-end (Angular).
• Experience building APIs, microservices and enterprise applications.
• Hands-on with Kubernetes or OpenShift in private cloud or on-premise environments.
• Solid DevOps and CI/CD practice, plus monitoring, logging and reliability engineering.
• Confident working with several stakeholder groups in a large organisation.
• Nice to have: platform/product from scratch; Terraform or Ansible; Grafana, Prometheus, Splunk, Dynatrace or Datadog; background in enterprise infra/ops.
• Degree in computer science, engineering, IT or related field.

Responsibilities

• Lead, coach and grow a team of site reliability and software engineers. Set the standards for code quality, reviews, testing and documentation.
• Own a set of internal automation products. Shape the roadmap with business and technology stakeholders, drive adoption, and track reliability and efficiency.
• Design and build full-stack tools, APIs and reusable services that turn manual operations tasks into automated, self-service workflows.
• Run the platforms on containerised private cloud infrastructure. Own observability, performance, incident response and root cause analysis.
• Lead architecture and design decisions, including integration patterns and API standards.

Skills

Leadership experience

Full-stack development

APIs & microservices

DevOps & CI/CD

Stakeholder management

Education

CS/Engineering degree

Tools

Kubernetes

OpenShift

Terraform

Ansible

Grafana

Prometheus

Datadog

Splunk

Job description

We are partnered with an established organisation that is investing in its internal engineering platforms. The aim is less manual operations work and more self-service for technology teams. You will internal platform products from first idea to live operation. You will also stay close enough to the code to set the engineering standard. It suits someone who enjoys building software and running reliable systems, and who wants their work measured by real adoption.

Key responsibilities

• Lead, coach and grow a team of site reliability and software engineers. Set the standards for code quality, reviews, testing and documentation.
• Own a set of internal automation products. Shape the roadmap with business and technology stakeholders, drive adoption, and track reliability and efficiency.
• Design and build full-stack tools, APIs and reusable services that turn manual operations tasks (deployment, recovery, routine work) into automated, self-service workflows.
• Run the platforms on containerised private cloud infrastructure. Own observability, performance, incident response and root cause analysis.
• Lead architecture and design decisions, including integration patterns and API standards.

Requirements

• 8 years in software engineering, including leading engineers or major technical initiatives
• Strong full-stack development: a Python web framework (Django preferred) and a modern front-end framework (Angular preferred)
• Experience building APIs, microservices and enterprise applications
• Hands-on with Kubernetes or OpenShift in private cloud or on-premise environments
• Solid DevOps and CI/CD practice, plus monitoring, logging and reliability engineering
• Confident working with several stakeholder groups in a large organisation
• Nice to have: has built a platform or product from scratch; Terraform or Ansible; Grafana, Prometheus, Splunk, Dynatrace or Datadog; a background in enterprise infrastructure and operations
• Degree in computer science, engineering, IT or a related field