# Software Engineer / Platform Engineer at AvePoint

> Singapore · Unspecified · Backend · open. Source: https://alderhq.app/jobs/greenhouse%3Aavepoint%3A7738463 (read 2026-11-05).

## Facts (observed)

- Company: [AvePoint](https://alderhq.app/companies/avepoint)
- Location text: Singapore; Singapore
- Where it can be done from (inferred): Singapore (evidence: "Location: Singapore; Singapore")
- Posted: 2026-03-20 (230 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://www.avepoint.com/careers/job-detail?gh_jid=7738463
- Skills listed (inferred): Python, Kubernetes, Docker, Terraform

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

### Software Engineer / Platform Engineer (Openshift/Kubernetes Specialist)

### Key Responsibilities

•Design, engineer, and automate the lifecycle of OpenShift clusters, treating infrastructure as software.

•Develop robust automation for cluster provisioning, upgrades, and scaling using Ansible, Terraform, or Python.

•Implement and maintain OpenShift components such as OVN-Kubernetes networking and OpenShift Data Foundation (ODF) storage.

•Engineer reliability and performance optimizations to ensure high availability of the container platform.

•Implement GitOps workflows for cluster configuration management.

### Requirements

•Experience: Intermediate: 3+ years

•Strong expertise in Red Hat OpenShift and Kubernetes internals.

•Proficiency in scripting and automation using Bash or Python.

•Experience with Infrastructure as Code (IaC) tools like Terraform or Ansible.

•Knowledge of storage (Ceph/ODF) and networking (SDN, OVN) in a containerized environment.

•Familiarity with GitOps principles and tools.

Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aavepoint%3A7738463 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.