Senior AI-Native Software Engineer (Claude / .NET) | ZR_1375_JOB at PeoplePartners Inc. | ZeeCV Jobs
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Jobs / Senior AI-Native Software Engineer (Claude / .NET) | ZR_1375...

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

United States Sep 27, 2026
Software-Engineer .NET-Developer AI-Engineer Full-Stack-Developer Senior-C#-.NET-Software-Engineer Senior-Software-AI-Engineer Senior-AI-Software-Engineer Senior-AI-Software-Developer Senior-C#-Developer-With-Azure Senior-.NET-Azure-Developer Senior-.NET-Core-Engineer AI-Native-Software-Engineer

Job Description

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 withcontext engineering, including project context files such asCLAUDE.md. Experience creating reusable AI prompts, skills, and engineering conventions. Experience connecting AI agents withJira, GitHub, databases, and development workflows. Experience withn8n. Experience withZapier. Experience withCI/CD-integrated AI tooling. Experience withOpenTelemetry. Experience with advanced observability tooling and distributed tracing platforms. Blazordevelopment experience. Framerexperience. Third-party API integration experience. Experience working infintech, payments, or another regulated environment. Familiarity withISO 27001 environments. Familiarity withPCI DSS compliance requirements.
Why Join PeoplePartners? This is an opportunity to work at the intersection ofserious software engineering and genuinely practical AI adoption. AtPeoplePartners, you’ll be part of aGreat Place to Work® certifiedculture where people, learning, and career development matter. You’ll gain international exposure supporting an Australian environment while enjoying the advantages of aremote, work-from-home setup. You’ll have opportunities to keep developing your technical capabilities, experiment with emerging AI engineering practices, participate in employee engagement activities, and learn alongside people who believe better ways of working are worth sharing. And this isn’t a role where success is measured by how much code AI can generate. Success means deliveringreliable production software, meaningful tests, sound architectural decisions, clear documentation, stronger engineering workflows, responsible AI adoption, and outcomes you’re prepared to own. If youthink before you generate, verify before you ship, raise risks early, and know when AI needs a human engineer to take over, we want to hear from you. Ready to build software with AI rather than simply ask AI to build software for you?Apply throughPeoplePartnersand show us how AI has changed the way you plan, build, test, verify, and ship.
Work Details Work Setup:Remote / Work from Home. Country Coverage:Australia. Schedule:Monday to Friday. Working Hours:8:00 AM–5:00 PM AEST.
Benefits Permanent Work-from-home setup Company-provided equipment Secondary Wi-Fi Modem 21 Leave Credits Annually - Leave benefits begin on Day 1. 100% conversion of UNUSED leave credits HMO on Day 1 13th Month Pay Monthly Gift Voucher Milestone Tokens (Birthday/Anniversary/Christmas). A Life Beyond the Screen #WorkLifeBalance. Active employee engagements physically such as Christmas Party & Team Building, and virtual events such as town-hall with prizes.

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