[Hiring] Senior AI-Native Software Engineer @People Partners

Role Description

This is a remote position.

We’re looking for a Senior AI-Native Software Engineer who 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 gets planned, architected, built, tested, verified, documented, monitored, and shipped.

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

• Build, maintain, test, and support production software applications.
• Use Claude Code, Gemini CLI, or similar AI-assisted development tools as part of daily engineering workflows.
• Own delivery from ticket → plan → implementation → verification → pull request → production .
• Plan and validate technical approaches before generating implementation code.
• Maintain project context files such as CLAUDE.md , reusable prompts, skills, and engineering conventions.
• Build and maintain workflows involving AI 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 meaningful unit and integration tests against actual acceptance criteria, including edge cases.
• Apply Clean Architecture, Domain-Driven Design (DDD), CQRS, and core design patterns where appropriate.
• Work with relational and NoSQL databases, including schema design, query tuning, and migrations .
• Build and support services in AWS or Azure environments.
• Implement and use structured logging, metrics, distributed tracing, and meaningful alerting to 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 as n8n 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, including secrets, 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.

Qualifications

• 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 with SQL Server, PostgreSQL and/or MongoDB .
• Database experience covering schema design, query tuning, and migrations .
• Hands-on experience with AWS or Azure , including deploying, running, and troubleshooting services.
• Experience with Clean Architecture, Domain-Driven Design (DDD), CQRS, and core software design patterns .
• Professional experience actively using Claude Code, Gemini CLI, or similar AI-assisted development tools .
• Experience incorporating AI-assisted development into structured software engineering workflows.
• Experience with AI-assisted testing, code review, documentation, and automation .
• Strong unit and integration testing practices, including verification against acceptance criteria.
• Experience with GitHub and Jira or equivalent software delivery workflows.
• Experience with production observability, including structured 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 during AEST business hours .

Requirements

• Experience with MCP servers .
• Experience with AI subagents and hooks .
• Experience with headless or CI-run AI agents .
• Experience with context engineering , including project context files such as CLAUDE.md .
• Experience creating reusable AI prompts, skills, and engineering conventions.
• Experience connecting AI agents with Jira, GitHub, databases, and development workflows .
• Experience with n8n .
• Experience with Zapier .
• Experience with CI/CD-integrated AI tooling .
• Experience with OpenTelemetry .
• Experience with advanced observability tooling and distributed tracing platforms.
• Blazor development experience.
• Framer experience.
• Third-party API integration experience.
• Experience working in fintech, payments, or another regulated environment .
• Familiarity with ISO 27001 environments .
• Familiarity with PCI DSS compliance requirements .

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.