Junior Platform Engineer

TRUEWATCH TECHNOLOGY INC PTE. LTD.; Singapore; On-site; SGD 42,000 - 66,000; Full time

Job summary

TrueWatch Technology Inc. Pte. Ltd. is seeking a Junior Executive Platform Engineer to build and operate cloud-native infrastructure and AI-driven observability across AWS, Cloudflare, and Microsoft 365 environments. You will work hands-on with Kubernetes, infrastructure as code, and automated incident response.

You will contribute to scalable, self-healing systems and collaborate with senior engineers to advance DevOps, SRE, and AI-enabled cloud infrastructure capabilities.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Security, Data Science, or a related field.
• 0–2 years of experience with Docker and Kubernetes.
• Good understanding of time-series data, system metrics, and log analysis.
• Hands-on experience with at least one major cloud platform such as AWS, Azure, or GCP.
• Familiarity with Terraform and CI/CD pipelines (GitHub Actions or GitLab CI).
• Working knowledge of machine learning concepts (linear regression, clustering, neural networks).
• Proficiency in Python or Golang.
• Experience with generative AI APIs or related AI tools for scripting/automation.
• Experience with observability frameworks such as Prometheus, ELK, or OpenTelemetry.

Responsibilities

• Deploy, manage, and maintain containerized workloads on Amazon EKS.
• Implement intelligent autoscaling and predictive HPA.
• Develop AI-driven monitoring and alerting for anomalies.
• Integrate AI-assisted code analysis and security checks in CI pipelines.
• Provision and manage infrastructure using Terraform.
• Apply generative AI tools to generate and validate infrastructure code.
• Build and maintain automated runbooks and self-healing scripts.
• Use AI tools to analyze incident reports and aid remediation.
• Configure observability tools like Prometheus, ELK, and OpenTelemetry.
• Collaborate with senior engineers on cloud infrastructure, automation, reliability, and security.

Skills

Python

Golang

Problem solving

Analytical thinking

Education

Bachelor’s or Master’s degree in CS/CE/Info Security/Data Science

Tools

Docker

Kubernetes

Terraform

GitHub Actions

GitLab CI

Prometheus

ELK Stack

OpenTelemetry

Job description

Job description:
As a Platform Engineer (Junior Executive), you will build and operate cloud-native infrastructure and AIOps solutions at TrueWatch. Working alongside senior engineers, you will take ownership of automated, scalable, and self-healing systems across AWS, Cloudflare, and Microsoft 365 environments.

You will work hands-on with Kubernetes, infrastructure as code,AI-driven observability, CI/CD automation, anomaly detection, and automated incident response. This role is ideal for early-career engineers looking to grow in DevOps, Site Reliability Engineering, artificial intelligence, and next-generation cloud infrastructure.

Responsibilities

• Deploy, manage, and maintain containerized workloads on Amazon EKS,ensuring availability and performance.
• Implement and tune intelligent autoscaling solutions, such as KEDAand predictive horizontal pod autoscalers.
• Develop and maintain AI-driven monitoring and alerting systems thatdetect anomalies in system logs and performance metrics.
• Integrate and maintain AI-assisted code analysis, vulnerabilityscanners, and security checks in GitHub Actions or GitLab CI pipelines.
• Provision and manage infrastructure across cloud environments usingTerraform, following infrastructure-as-code best practices.
• Apply generative AI tools to generate, validate, and reviewinfrastructure code.
• Build and maintain automated runbooks and self-healing remediationscripts.
• Use LLM-based tools or agents to analyse incident reports andrecommend remediation actions, and take part in incident response andpost-incident reviews.
• Configure and operate observability tools and frameworks such asPrometheus, the ELK Stack, and OpenTelemetry.
• Collaborate with senior engineers and cross-functional teams on cloudinfrastructure, automation, reliability, and security initiatives, and documentsystems and processes.

Requirements

• Bachelor’s or Master’s degree in Computer Science, ComputerEngineering, Information Security, Data Science, or a related field.
• 0–2 years of experience (including internships or substantialprojects) working with Docker and Kubernetes.
• Good understanding of time-series data, system metrics, and loganalysis.
• Hands-on experience with at least one major cloud platform, such asAWS (preferred), Microsoft Azure, or Google Cloud Platform.
• Familiarity with Terraform or other infrastructure-as-code tools, andwith CI/CD pipelines such as GitHub Actions or GitLab CI.
• Working knowledge of machine learning or deep learning concepts, suchas linear regression, clustering, or neural networks.
• Proficiency in Python or Golang.
• Experience using generative AI APIs, Model Context Protocol tools, orsimilar AI technologies to build scripts or automation tools.
• Experience with observability or monitoring frameworks such asPrometheus, ELK Stack, or OpenTelemetry.
• Strong interest in AIOps, DevOps, Site Reliability Engineering, andthe CNCF ecosystem.
• Strong analytical and problem-solving skills.
• Proactive and able to take ownership of tasks in a fast-paced,collaborative environment.