Technical Lead

EROAD

Auckland

Hybrid

NZD 180,000 - 240,000

Full time

3 days ago
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Benefits offered by this job

Hybrid work arrangement
Continued learning support

Job summary

EROAD is seeking a Tech Lead for a Manila delivery squad to steer design and delivery while remaining hands-on with code. You’ll guide high-performing developers, decompose tasks between AI agents and humans, and ensure robust production-grade software on EROAD’s SaaS platform.

Bring real-world AI tooling experience, strong Java/C# backend skills, microservices expertise and a passion for observability, testing and CI/CD.

Qualifications

  • Real-world experience using AI coding tools or agents in production engineering work.

Responsibilities

  • Lead developers through design, implementation, review and delivery.
  • Unblock engineers and keep design decisions moving.
  • Decompose engineering tasks between AI agents and human judgement.
  • Review AI-generated code and catch failure modes before they reach production.
  • Coach the squad on using AI tools well without lowering the quality bar.
  • Stay hands-on with implementation across EROAD’s SaaS platform.

Skills

AI tools in production
Java / Spring
C# / .NET
Microservices
RESTful API design
MongoDB
PostgreSQL / SQL Server
Automated testing
CI/CD
Git
Observability
Agentic workflows
JavaScript / React integration
AWS Kinesis / SQS / DynamoDB
Kubernetes
Terraform

Tools

AWS
Azure

Job description

ABOUT THE COMPANY

EROAD is a global fleet management technology company, providing GPS tracking, video telematics, compliance automation and driver safety tools to fleet operators, and this Tech Lead role is opening within a Manila delivery squad as the team builds AI-native ways of working into its engineering practice.

WHAT YOU’LL DO

As Tech Lead you’ll sit inside a delivery squad and stay close to the code while shaping how the team works.

  • Lead developers through design, implementation, review and delivery
  • Unblock engineers and keep design decisions moving
  • Decompose engineering tasks between AI agents and human judgement
  • Review AI-generated code and catch failure modes before they reach production
  • Coach the squad on using AI tools well without lowering the quality bar
  • Stay hands-on with implementation across EROAD’s SaaS platform
WHAT YOU NEED

To thrive in this role you’ll bring hands-on technical leadership plus real depth in modern backend engineering.

  • Real-world experience using AI coding tools or agents in production engineering work
  • Production experience with Java and/or C#
    Cloud-native development experience on AWS with Java/Spring, or Azure with .NET
  • Microservice architecture and RESTful API design experience
  • Experience with MongoDB, PostgreSQL or SQL Server
  • Automated testing design and implementation across unit, component and integration levels
  • Experience with Git, trunk-based development and CI/CD
  • Beyond the essentials, we’d love to see basic monitoring and observability experience, and any exposure to agentic workflows such as task decomposition, context management or multi-step agent use is a genuine plus. JavaScript or React front-end integration, event-driven AWS services like Kinesis, SQS or DynamoDB, GIS, payments or high-throughput transactional systems, and Kubernetes or Terraform would all round out the profile nicely, though none of these are essential.

    WHY JOIN

    This is a genuine individual-contributor technical leadership track, not a people-management role, giving you scope to shape design and delivery while staying hands-on.

    • Work at the leading edge of AI-native engineering, with real influence over how the squad adopts AI tools and agents
    • Be part of a high-growth, publicly listed technology company operating across New Zealand, Australia, the Philippines and the USA
    • Work alongside a talented and collaborative engineering team
    • Continuous learning support, EAP offerings and AI tooling to help you grow
    • Competitive benefits package
    • Hybrid work arrangement: 4 days onsite (Monday to Thursday) and 1 day work from home (Friday)
    • 6:00 AM to 3:00 PM PHT shift with a semi-flexible start and end time , subject to team and business requirements.
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