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Why This Role Exists
AI adoption inside this SaaS organisation is growing at speed. They’re building new internal tools, new customer-facing capabilities and experimenting heavily across multiple squads. To keep up, they need someone who can own the AWS infrastructure powering all of this AI work.
This isn’t a research role.
It’s a hands-on engineering position where you build, run and scale the platforms that make AI possible.
Where You’ll Make the Biggest Impact
If you want to work with AWS AI tools every day and help shape the AI infrastructure of a high-growth global SaaS platform, we’d love to hear from you.
Click Apply Now or contact us directly for a confidential chat.
AWS DevOps Engineer
| Location: | Wellington |
| Discipline: | Digital agencies |
| Job type: | Permanent |
| Salary: | 140000 |
| Contact name: | Matt Frizzell |
| Contact email: | matt@placeme.nz |
| Job ref: | 1247638 |
| Published: | 1 day ago |
AI adoption inside this SaaS organisation is growing at speed. They’re building new internal tools, new customer-facing capabilities and experimenting heavily across multiple squads. To keep up, they need someone who can own the AWS infrastructure powering all of this AI work.
This isn’t a research role.
It’s a hands-on engineering position where you build, run and scale the platforms that make AI possible.
Where You’ll Make the Biggest Impact
- Standing up secure, high-quality AI environments in AWS.
- Deploying and supporting AI workloads using Bedrock, Bedrock Studio and SageMaker.
- Creating scalable patterns, landing zones and automation that engineering teams rely on.
- Working across AI, software, DevOps and product groups to unblock delivery.
- Improving reliability, observability and compliance in a regulated environment.
- Joining a low-frequency on-call rotation backed by a collaborative engineering team.
- Strong background as a DevOps / Cloud / SRE Engineer in AWS.
- Real-world experience with:
- AWS Bedrock
- Bedrock Studio
- AWS SageMaker
- Ability to design, deploy and support AI platform infrastructure at scale.
- Solid grounding in AWS networking, security and architecture.
- A practical mindset—comfortable building, troubleshooting and iterating quickly.
- AWS Machine Learning – Specialty certification.
- Familiarity with RAG, vector indexing, knowledge graphs or ML pipelines.
- Experience in regulated environments (health, finance, SaaS etc.).
- Curiosity and willingness to experiment with new AI tools.
- You enjoy solving complex infra challenges with modern AWS tooling.
- You like collaborating with engineers, product, AI specialists and architects.
- You prefer working in a fast-moving environment rather than bureaucratic processes.
- You are honest about what you know (and don’t) and love learning fast.
- You have a low-ego, team-first approach.
- Must already hold NZ work rights – no sponsorship available.
- Ideal locations: Wellington or Palmerston North, but strong NZ-remote applicants welcome.
- On-call is shared, infrequent, and fully supported by the wider team.
If you want to work with AWS AI tools every day and help shape the AI infrastructure of a high-growth global SaaS platform, we’d love to hear from you.
Click Apply Now or contact us directly for a confidential chat.
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