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DevOps Engineer

Australia, Sydney · Job Posted April 11, 2026
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Job Description

You'll sit at the intersection of infrastructure and engineering - deploying, monitoring, and managing cloud applications in a fast-moving, technically diverse environment. If cutting-edge work is what drives you, this is the role.

Job Responsibility

  • Own Brighte's AWS cloud infrastructure, CI/CD pipelines (GitHub Actions) and IaC (Terraform), ensuring environments are secure, scalable, reliable and consistently reproducible across all stages
  • Monitor and maintain system performance and reliability using Datadog, manage database operations, respond to incidents, and ensure application security across authentication, authorisation and the broader AWS stack
  • Design AI-augmented DevOps workflows - agentic pipelines connecting AI models via AWS Bedrock to GitHub, Jira and Slack and embed AI coding assistants (Claude Code, GitHub Copilot) with appropriate guardrails into the engineering workflow
  • Partner with squad and cross-functional engineering teams on architecture, production readiness and platform decisions, while mentoring the DevOps team through code reviews, best practice enforcement and knowledge sharing

Requirements

  • Minimum 3 years in DevOps with hands-on experience across AWS cloud infrastructure
  • CI/CD pipelines (CodePipeline, GitLab or equivalent)
  • IaC (Terraform, CloudFormation or CDK)
  • Strong scripting in Python or Bash
  • Proven ability to design and deliver complex cloud transformation projects on AWS across serverless (Lambda), microservices, event-driven architectures, VPC, IAM, and both SQL and NoSQL databases
  • Strong AWS and cloud security knowledge including network configuration best practices, ACSC ISM application, and the ability to embed security proactively into squad workflows through threat modelling, shift-left testing and compliance-aware architecture decisions
  • Working knowledge of monitoring and error reporting tools including AWS CloudWatch, Wiz Portal and Sentry
  • Hands-on experience with AI-assisted development workflows such as Claude Code, GitHub Copilot or equivalent including repo-level access controls, coding standards for AI output, and critical review of AI-generated code
  • Familiarity with AWS Bedrock or equivalent managed AI services, building LLM-connected operational pipelines, prompt engineering, and AI-specific security risks including prompt injection, data leakage and supply chain vulnerabilities in AI tooling

What we offer

  • Flexible working arrangements
  • Hybrid work model (3 days in office, 2 WFH)
  • Free lunch on Mondays
  • Weekly Thursday social events
  • Employee Share Option Plans (ESOP)
  • Stocked pantry with snacks
  • Wine and beer on tap
  • End-of-trip facilities with towel service and hair dryers
  • Anniversary leave

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