Senior AI-Native R&D Engineering Lead

Nerdio; Melbourne; On-site; AUD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive Base and Incentive Plan

Stock Options

Health and Welfare Plans

Life and Disability Plans

Retirement Plan

Unlimited Flexible PTO

Job summary

Nerdio is seeking a Senior Engineering Manager in Melbourne to lead an AI-native R&D team of 10+ engineers. This dual-track role blends people leadership with hands-on coding, architecture, and delivery, including responsible AI practices and production readiness.

You’ll own end-to-end execution, apply AI coding agents, and ensure quality, security, and reliable architectures while enabling rapid, responsible innovation.

Qualifications

• 7+ years of professional software engineering experience with design to production ownership.
• 4+ years in engineering management with coaching, performance, and team health responsibility.
• Hands-on with prototypes, architecture, and productionization of concepts.
• Strong backend fundamentals in distributed systems and API design.
• Experience using AI coding assistants and agentic workflows in real projects.
• Proficient in C#/.NET and capable of rapid productivity in C# with LLM/API integration.
• Experience with Azure/AWS/GCP and containerized development with Docker and Kubernetes.

Responsibilities

• Lead and mentor a 10+ engineer R&D team with ownership and accountability.
• Balance people leadership with hands-on engineering and architecture.
• Drive end-to-end R&D initiatives from concept to production readiness.
• Define and enforce high engineering standards, security, and testing.
• Partner with Product, Architecture, Security, and Eng to validate concepts.

Skills

People management

Hands-on coding

C#/.NET

Cloud platforms (Azure/AWS/GCP)

Docker

Kubernetes

AI coding assistants / agents

Code quality & security

Observability & monitoring

Architectural design

Tools

Docker

Kubernetes

LLM APIs

Job description

Nerdio is seeking a Senior Engineering Manager in Melbourne to lead an AI-native R&D team of 10+ engineers. This dual-track role blends people leadership with hands-on coding, architecture, and delivery, including responsible AI practices and production readiness.

You’ll own end-to-end execution, apply AI coding agents, and ensure quality, security, and reliable architectures while enabling rapid, responsible innovation.