Senior Software Engineer - Deployment Reliability & AI Automation
📍 Australia | Remote Contract | 6-Month Initial Engagement with renewal potential
About the Company
Join one of the world's leading enterprise software innovators, trusted by hundreds of thousands of organisations globally to power collaboration, software development, service management, and productivity. This Australian-founded technology success story has grown into a globally recognised SaaS leader, serving teams ranging from fast-growing startups to Fortune 500 enterprises. Their products help millions of users streamline workflows, accelerate software delivery, and improve team effectiveness through cutting-edge cloud technologies and AI-driven innovation.
About the Opportunity
We are seeking an experienced Software Engineer to join a specialist engineering team focused on improving deployment reliability across a large-scale cloud platform.
This team is building the future of deployment recovery by combining software engineering expertise with emerging AI agent technologies. You'll troubleshoot complex deployment failures, improve platform resilience, and create documented solutions that become training data for next-generation AI-powered automation systems.
This is a unique opportunity to influence how software deployments are managed at scale while helping shape the future of AI-assisted engineering operations.
What You'll Be Doing
- Diagnose and resolve CI/CD deployment failures across cloud-based services
- Investigate logs, metrics, health checks and deployment pipelines to identify root causes
- Develop fixes through pull requests and collaborate with engineering teams
- Improve deployment verification tests, health checks and monitoring systems
- Create structured documentation of failure patterns, resolutions and outcomes
- Contribute recurring failure patterns into automated AI recovery workflows
- Help develop engineering playbooks and operational best practices
- Work closely with platform engineering teams to improve deployment success rates
- Participate in technical reviews, knowledge sharing and project updates
Required Experience
Technical Skills
- 5+ years' commercial software engineering experience
- Strong debugging and troubleshooting skills across complex systems
- Hands-on experience with CI/CD pipelines and deployment tooling
- Experience with platforms such as Spinnaker, Argo CD, Harness, Jenkins or similar
- Solid Kubernetes and containerisation experience
- AWS infrastructure provisioning knowledge including Terraform or CloudFormation
- Experience working with application logs, metrics and monitoring platforms
- Strong development capabilities in at least one of:
- Java/Kotlin
- Python
- Go
- TypeScript
- Experience using AI-powered engineering tools such as GitHub Copilot, Cursor, Claude Code or similar
- Excellent written documentation skills
Nice to Have
- Container security and vulnerability remediation experience
- Experience within large-scale SaaS or platform engineering environments
- Exposure to AI agent frameworks, evaluation datasets or LLM-based automation systems
- Experience operating within mature engineering organisations using code review and approval processes
What Makes This Role Different?
- Work on highly visible platform engineering initiatives
- Help define how AI agents automate deployment recovery
- Direct impact on engineering productivity and reliability at global scale
- Fully remote opportunity within Australia
- Opportunity to work with modern cloud-native technologies and AI-driven engineering practices
- Collaborate with some of the industry's leading platform engineers
Ideal Background
We'd love to hear from engineers currently working within:
- Large-scale SaaS organisations
- Cloud infrastructure businesses
- E-commerce technology platforms
- Developer tooling companies
- Global technology organisations with strong DevOps and platform engineering practices
If you're passionate about solving complex deployment challenges, cloud infrastructure, Kubernetes, and the future of AI-assisted software engineering, we'd love to speak with you.
Apply now or reach out for a confidential discussion
