Remote Technical Lead — AI-Driven Cloud/SaaS

Re-Leased

Auckland

Hybrid

NZD 140,000 - 190,000

Full time

5 days ago
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Benefits offered by this job

Health insurance
EAP service
Wellness allowance
Parental leave
Flexible working

Job summary

Re-Leased seeks a Technical Lead to steer software engineering, AI-assisted development, and platform excellence for a cloud-based real estate SaaS. Based in Napier or fully remote from NZ cities, you will provide day-to-day technical leadership, shape architecture, and drive CI/CD, security and observability across squads.

Collaborating with Engineering Manager and Product Manager, you’ll ensure delivery plans are clear and executed safely, while mentoring engineers and advancing AI-in-code

Qualifications

  • 7+ years of software engineering experience or equivalent
  • Proven experience leading the technical direction of a team or squad
  • Strong grounding in software engineering practices and architectural patterns (SOLID, YAGNI)

Responsibilities

  • Provide day-to-day technical leadership for the squad across design, development and deployment
  • Architect services and systems with scalable patterns for future growth
  • Lead code reviews and establish AI-assisted coding standards
  • Drive monitoring, observability, and production hygiene
  • Mentor engineers and foster knowledge sharing across the team

Skills

Technical leadership
Cloud/SaaS architecture
Azure
Frontend frameworks
CI/CD
AI-assisted development
Mentoring

Education

Bachelor's degree or higher or Microsoft Certification

Tools

Azure DevOps
Terraform

Job description

Re-Leased seeks a Technical Lead to steer software engineering, AI-assisted development, and platform excellence for a cloud-based real estate SaaS. Based in Napier or fully remote from NZ cities, you will provide day-to-day technical leadership, shape architecture, and drive CI/CD, security and observability across squads.

Collaborating with Engineering Manager and Product Manager, you’ll ensure delivery plans are clear and executed safely, while mentoring engineers and advancing AI-in-code

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