Staff AI Platform Engineer

Pushpay Holdings Limited; Auckland; On-site; NZD 180,000 - 240,000; Full time

Job summary

Pushpay Holdings Limited is seeking a Staff AI Platform Engineer to architect, run, and scale our internal agentic platforms and developer tooling, with autonomy to own operational discipline, cost governance, and reliability in production.

You will focus on production-grade non-determinism, observability, SLOs/SLIs, and eval-driven testing, partnering with teams to reduce SDLC friction and drive adoption of advanced tooling.

Qualifications

• 8+ years of experience in software engineering, with time spent in technical leadership across Platform/Infrastructure/DevEx.
• Production agentic experience: operating non-deterministic workloads in production, with cost governance and observability.
• Backend & cloud mastery with strong AWS-native expertise (Lambda, API Gateway, Bedrock, IAM/KMS) and proficiency in C# or Python.

Responsibilities

• Architect and build internal agentic systems, supervisor loops, router patterns, and state machines using Claude Agent SDK and AWS Bedrock.
• Run workloads at scale by defining SLOs, latency targets, and token efficiency; own observability and incident response.
• Elevate developer experience by optimizing build/CI, local dev setups, and serverless architectures.
• Set the bar for AI safety and quality with reusable component models, RAG architecture, and guardrails.

Skills

Software Engineering

Agentic Production

C# / Python

AWS Cloud

Tools

C# / Python

AWS

Job description

Most companies are still experimenting with AI wrappers in local environments. At Pushpay, we are building production-grade agentic systems that directly amplify how our entire engineering organization builds, ships, and operates software.

As a Staff AI Platform Engineer, you will operate with significant autonomy to architect, run, and scale our internal agentic platforms and developer tooling (like PR review agents, SDLC copilots, and context engines). You won't just build these systems—you will own their operational discipline, cost governance, evaluation suites, and reliability in production, acting as a force multiplier for every engineer across Pushpay.

Why This Role is Different

True Engineering Leverage: You aren't building internal gimmicks. You are designing systems that fundamentally transform our SDLC and reduce friction for every product team.

Production-Grade Non-Determinism: You treat agents as distributed, operational workloads—implementing token budgets, trace-level observability (OTEL, Langfuse), SLOs/SLIs, and eval-driven regression testing before code hits main.

Influence Without Dictatorship: You won't enforce top-down mandates. You will drive org-wide adoption of tools like Claude Code and custom MCP implementations through technical credibility, pairing with teams, and building platforms engineers want to use.

What You'll Do

Architect & Build Agentic Systems: Design internal supervisor loops, router patterns, and state machines using the Claude Agent SDK, AWS Bedrock, and frameworks like LangGraph.

Run Workloads at Scale: Establish SLOs for agent success rates, latency, and token efficiency. Take point on observability, prompt versioning, and incident response when agents misbehave or hallucinate.

Elevate Developer Experience: Identify SDLC bottlenecks, optimize build/CI performance, refine local dev setups (LocalStack, .NET Aspire), and tune AWS serverless architectures (Lambda cold-starts, SnapStart).

Set the Bar for AI Safety & Quality: Define reusable component models, context retrieval (RAG) architecture, and guardrails to ensure autonomous systems degrade safely.

What We Are Looking For

8+ Years in Software Engineering with significant time spent as a technical lead in Platform, Infrastructure, or DevEx.

Production Agentic Experience: You have actually operated non-deterministic LLM/agentic workloads in production—managing cost governance, tracing, and eval pipelines, not just building prototype wrapper apps.

Backend & Cloud Mastery: Deep proficiency in C# or Python paired with strong AWS cloud-native expertise (Lambda, API Gateway, Bedrock, IAM/KMS).

Developer Empathy & Leadership: A track record of driving tool adoption and technical standards across multiple teams through pairing, mentorship, and clear communication rather than authority.

Tech Stack You'll Touch

Ready to build the platform that powers the future of our engineering organization?

You MUST be eligible to work in NZ to be considered for this role.