Senior AI-Native Software Engineer (Claude / .NET) | ZR_1375_JOB

About this role

This is a remote position.

Senior AI-Native Software Engineer (Claude / .NET) | Remote
About PeoplePartners

• AtPeoplePartners, we believe great careers happen when talented people get the opportunity, support, and freedom to do their best work.

• As aGreat Place to Work® certified company, we’ve built a people-first culture where growth isn’t just talked about—it’s part of the experience. You’ll gain valuable global exposure working with an Australian-based technology environment, tackle meaningful engineering challenges, and continue developing alongside people who genuinely want to see you succeed.

• If you’re looking for challenging work, international experience, continuous learning, and a workplace that puts people first, you’ll feel right at home.

Role Overview

• There’s a difference betweenusing AI to code and genuinely knowing how to engineer with AI.

• We’re looking for aSenior AI-Native Software Engineerwho combines strong software engineering fundamentals with genuinely AI-native development practices.

• AI-assisted development isn’t an experiment or a side project here. It’s becoming part of how great software getsplanned, architected, built, tested, verified, documented, monitored, and shipped.

• IfClaude Code, Gemini CLI, or similar AI development toolsalready feel like a natural extension of how you work—but you also know that“the AI said it works”is definitely not a testing strategy—you’ll probably enjoy this one.

• You’ll take work fromticket → plan → implementation → verification → PR → production, using AI to create genuine engineering leverage without outsourcing your engineering judgment to it.

• That means knowing how to work with agents, context, automation, and AI-assisted workflows—and knowing when an AI-generated answer needs to be challenged, corrected, or replaced by a human one.

Key Responsibilities:

• Build, maintain, test, and support production software applications.

• UseClaude Code, Gemini CLI, or similar AI-assisted development toolsas part of daily engineering workflows.

• Own delivery fromticket → plan → implementation → verification → pull request → production.

• Plan and validate technical approaches before generating implementation code.

• Maintain project context files such asCLAUDE.md, reusable prompts, skills, and engineering conventions.

• Build and maintain workflows involvingAI agents, MCP servers, subagents, hooks, and headless or CI-run agents.

• Connect AI agents with development tools, databases, and engineering workflows.

• Review AI-generated code for incorrect assumptions, invented APIs, security issues, and inadequate tests.

• Build meaningfulunit and integration testsagainst actual acceptance criteria, including edge cases.

• ApplyClean Architecture, Domain-Driven Design (DDD), CQRS, and core design patternswhere appropriate.

• Work with relational and NoSQL databases, includingschema design, query tuning, and migrations.

• Build and support services inAWS or Azureenvironments.

• Implement and usestructured logging, metrics, distributed tracing, and meaningful alertingto diagnose production issues.

• Create and maintain design notes,Architecture Decision Records (ADRs), API documentation, release notes, and runbooks.

• Build AI-driven automation for repetitive engineering and operational processes using tools such asn8n or Zapier.

• Integrate applications with third-party APIs and services.

• Contribute to technical planning, estimation, and software delivery.

• Protect sensitive information when using AI tools, includingsecrets, customer PII, and payment/card data.

• Apply appropriate access scoping and security practices when connecting AI agents to systems and data.

• Identify technical, security, privacy, and delivery risks early.

• Own software through deployment, troubleshooting, and production support.

• Share effective AI-assisted engineering patterns and help standardize workflows across the engineering team.

• Coach and mentor engineers on responsible and effective AI adoption.

Requirements

Required Qualifications (Must-Have):

• 5–7+ years of commercial software engineering experience, including experience operating at Senior Software Engineer level.

• Strong commercial experience with.NET / C# and/or React / Next.js.

• Production experience withSQL Server, PostgreSQL and/or MongoDB.

• Database experience coveringschema design, query tuning, and migrations.

• Hands-on experience withAWS or Azure, including deploying, running, and troubleshooting services.

• Experience withClean Architecture, Domain-Driven Design (DDD), CQRS, and core software design patterns.

• Professional experience actively usingClaude Code, Gemini CLI, or similar AI-assisted development tools.

• Experience incorporating AI-assisted development into structured software engineering workflows.

• Experience withAI-assisted testing, code review, documentation, and automation.

• Strong unit and integration testing practices, including verification against acceptance criteria.

• Experience withGitHub and Jiraor equivalent software delivery workflows.

• Experience with production observability, includingstructured logging, metrics, distributed tracing, and alerting.

• Strong technical documentation skills, including design notes, ADRs, API documentation, and runbooks.

• Experience contributing to planning, estimation, and delivery.

• Experience owning software through development, deployment, and production support.

• Understanding of security and privacy requirements when using AI tools with sensitive information.

• Ability to explain architectural decisions and technical trade-offs clearly.

• Ability to mentor engineers and support adoption of effective AI development practices.

• Ability to work consistently duringAEST business hours.

Preferred Qualifications:

• Experience withMCP servers.

• Experience withAI subagents and hooks.

• Experience withheadless or CI-run AI agents.

• Experience…