Skip to content
SettingsLog inSign up
Menu
Esc
Internships in Canada
New-grad roles in Canada
Remote roles
Roles that show pay
Postings at high ghost risk
PayWhat student tech roles in Canada pay
Check a linkPaste a posting to see its real age and ghost risk
JobsEvery open tech role
CompaniesWho fills fastest, who leaves postings up
Hiring calendarWhen employers open intern and new-grad roles
Skills gapWhat postings ask for that you don't have
Your resumeScore and fixes
Your matchesOpen roles ranked by your resume
ApplicationsSaved, applied, interviewing, offers
SettingsTheme, text size, motion
How it works

↑ ↓ to move, Enter to open? every shortcut

Keyboard shortcuts

CtrlKor/
Search employers, postings and pages
JorK
Next or previous posting in a list
O
Open the posting's page
Enter
Open it in the preview, on wide screens
S
Save or unsave it
?
This list
Esc
Close
Pushpay

Staff AI Platform Engineer

  • Seen live on Pushpay's site today
  • Senior
Pay
Not stated
Location
Auckland
Open for
12+ days
First seen
Oct 23, 2026
Apply on Pushpay's site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Pushpay's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Pushpay, so its true age is longer.

Last checked Nov 4, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

Upload your resume

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

The Role in 60 Seconds

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

Claude Agent SDK • AWS Bedrock • LangGraph / LangChain • OTEL • Langfuse • New Relic • C# / .NET • Python • AWS Lambda • .NET Aspire • LocalStack

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

Apply now to join Pushpay's Enablement team as our Staff AI Platform Engineer!

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

Something wrong with this posting?