JOB   DETAILS

This role sits deliberately at the intersection of software engineering and platform engineering, with a strong focus on the AI infrastructure powering our product.

You will write backend code one day, tune a AWS cost dashboard the next, and own both halves of a feature’s lifecycle. If you are the kind of engineer who shipped a feature and then wished you’d been the one to deploy and observe it, this is the shape of role you’ve been looking for.

The engineering team is small — 5 in Sydney and 3 international — so your work compounds visibly and your voice matters in direction-setting conversations.

You enjoy solving problems with others, sharing what you know and learning along the way. You communicate clearly and follow things through, with a practical approach that makes life easier for your teammates and the people using our product.

To make this happen you will:

Build — approximately 50% of your time

• Design and ship backend services in TypeScript / Node.js — APIs, data model, business logic, LLM integrations
• Design schemas that survive contact with real users and changing requirements
• Own meaningful slices of the product end-to-end — make the calls, ship the work, live with the results

Run — approximately 50% of your time

• Own our AWS infrastructure — Lambda, ECS, RDS, DynamoDB, SQS, VPC, IAM — managed as code with CDK
• Improve CI/CD pipelines so developers can build, test, deploy and roll back with confidence
• Own the AI infrastructure that powers Settify’s LLM features — OpenAI (or equivalent) model access, Langfuse tracing, token/cost/latency monitoring, eval pipelines, rate limits, retries and timeouts
• Build observability into the delivery pipeline itself: alert design, SLI/SLO definition, incident response
• Help take Settify to new regions with repeatable regional deployments
• Keep customer data secure — IAM, secrets, encryption, backups — as part of everyday operations and work toward SOC 2

What you’ll bring

• 8+ years building and shipping production software, ideally including time where you also owned the platform it ran on
• Deep proficiency in Node.js on the backend, and good working experience in TypeScript
• Strong AWS depth: Lambda, ECS/EKS, RDS, DynamoDB, SQS, VPC, IAM — real ownership rather than just familiarity
• Infrastructure-as-code discipline: CDK or Terraform at depth
• CI/CD pipeline design: GitHub Actions, GitLab CI or similar; automated testing, deployments, rollbacks
• Observability fluency: Datadog, Grafana/Prometheus or CloudWatch; alert design
• StrongData modelling instincts — schemas that survived real users and changing requirements
• Database operations — Postgres, DynamoDB or similar; schema design, indexing, migrations
• Hands-onLLM infrastructure experience — API integration, rate limits, retries, timeouts, cost/latency monitoring
• A CS or engineering degree, or the equivalent depth from building things — we care about how you think, not where you learned it
• Light React familiarity — enough to debug or contribute to admin UI, not expert-level

Even better if you have;

• Experience setting up and running multi-region cloud deployments
• LegalTech, FinTech, HealthTech, or other regulated-industry background
• Shipping zero-to-one at an early-stage team — knows the difference between “scrappy” and “sloppy”
• Experience with LLM observability tooling (Langfuse, Phoenix, Helicone) in production
• Security-aware development: auth patterns, OWASP basics, secrets management, PII handling

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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