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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