Tell us a little about you. We review every application and reply to those that look like a good fit.
About the role
DevOps and Platform Engineer (Azure & AWS)
Ahands-on build-and-run role. You'll own the cloud platform our products run onacross Azure and AWS: designing it, automating it, keeping it secure, andmaking releases routine, with real ownership of the deployment path toproduction.
Ata Glance
- Location: India (preferred, Hybrid); otherlocations considered
- Employment type: Full-time, permanent
- Experience: 10+ years in DevOps, platform, or cloud engineering, running productionworkloads on Azure and AWS
- Role type:Hands-onbuild-and-run engineering, not a people-management role
- Core focus: Terraformand Bicep, GitHub Actions with OIDC, container platforms, cloud security, andobservability
- Reports to:Director,Cloud and Applications
- Working hours: Shifted India hours with atleast 4 hours' daily overlap with Australian (Melbourne and Brisbane) businesshours, typically around 7:30am–4:30pm IST, adjusted for Australian daylightsaving
AboutPower Tech Consulting
Power Tech is a data, AI, cloud, andtransformation consultancy serving mining, financial services, hospitality, andgovernment clients across Australia, New Zealand, Fiji, Singapore, and India.We're multi-vendor, so we recommend what's right, not what's easy to sell, andwe're building our own products alongside client work.
Service through contribution. Trustthrough transparency. Accountable from end to end. Join us and help shape whatPower Tech becomes.
Aboutthe Role
Power Tech Nexus is the productcompany of the Power Tech group. We build and run our own AI-driven softwareproducts for businesses in Australia and the region. We are a small teamgrowing deliberately, so every hire shapes how the product and the engineeringpractice turn out.
As DevOps and Platform Engineer,you'll own the cloud platform our products run on, across Azure and AWS. Thisis a build-and-run role: you'll design the platform, automate it, keep itsecure, and make releases routine. You'll work closely with the productengineers and the AI & Cloud Architect, and you'll have real ownership ofthe deployment path to production.
KeyResponsibilities
- Author,review, and apply infrastructure as code in Bicep and Terraform, with everyplan or what-if reviewed before apply.
- Buildand maintain CI/CD in GitHub Actions using federated (OIDC) credentials ratherthan stored secrets.
- Runcontainerised workloads on Azure Container Apps and AWS container services,releasing immutable image versions.
- Ownidentity, secrets, and network security for the platform, with least-privilegeaccess throughout.
- Buildobservability that tells the truth, covering logs, metrics, alerting, andhealth checks.
- Keepproduction and non-production environments properly separated and free ofconfiguration drift.
- Produceevidence for ISO 27001 and ISO 42001 controls as part of normal work.
Must-HaveSkills and Experience
- 10+ years in DevOps, platform, or cloud infrastructure engineering, runningproduction workloads on both Azure and AWS.
- Hands-oninfrastructure as code with Terraform and Bicep, including the discipline ofreviewing every plan or what-if before applying.
- Experiencebuilding CI/CD pipelines in GitHub Actions, including federated (OIDC)authentication to Azure and AWS.
- Experiencerunning containerised workloads in production, such as on Azure Container Apps,Amazon ECS, or EKS, with immutable, versioned images.
- Practicaldepth in cloud identity, secrets management, and network security, applied withleast privilege.
- Experiencebuilding observability with logs, metrics, alerting, and health checks, usingtools such as Azure Monitor, CloudWatch, or Grafana.
- Experienceworking under security or compliance controls and producing evidence auditorscan rely on.
DesirableSkills
- Arecognised certification such as Azure DevOps Engineer Expert (AZ-400), AWSCertified DevOps Engineer Professional, or Terraform Associate.
- Kubernetesexperience.
- Experiencesupporting ISO 27001 or ISO 42001 audits or working with a complianceautomation platform.
- Experiencerunning AI workloads, such as model gateways and vector databases.
- Experiencewith cloud cost management (FinOps).
Education
A bachelor's degree in computerscience, information technology, engineering, or a related field, or equivalentexperience.
WhatSuccess Looks Like
- Releasesare routine: product engineers deploy to production confidently, without manualsteps or late-night fixes.
- Everyinfrastructure change goes through reviewed code, environments stay separatedwith no configuration drift, and control evidence comes out of normal work.
- Thereare no long-lived stored secrets, and access across the platform isleast-privilege and easy to audit.
- Yourobservability catches problems before customers do, and alerts are trustedrather than ignored.
DevOps and Platform Engineer (Azure & AWS)