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Role overview

This opening is being handled on behalf of a partner company, which will manage the application review and all subsequent hiring steps. The role is for a Product Engineer (Platform) in New Zealand.

This is a high-impact engineering position with a strong product focus, centered on creating and improving core backend systems that support blockchain infrastructure at scale. You will own initiatives from the point of identifying customer needs through solution design, delivery, and ongoing improvement based on real usage. The role blends backend development, platform engineering, and product thinking, with an emphasis on outcomes that can be measured for both the business and the customer. You will work alongside product, DevOps, support, and sales teams to turn complex infrastructure problems into dependable, scalable, and easy-to-use systems. The environment values speed, ownership, and autonomy, making it a strong fit for engineers who like working closely with both users and systems and want visible impact from their work.

Key accountabilities

Take responsibility for product work from initial problem discovery and technical design through implementation, release, measurement, and continuous refinement.
Turn challenging customer and infrastructure issues, including provisioning, reliability, scaling, observability, and cost control, into practical technical plans with clear success measures.
Build backend services, APIs, internal tooling, and platform features that strengthen the provisioning, operation, and scaling of blockchain infrastructure.
Spot system bottlenecks, reliability gaps, and operational waste, then lead improvements from concept to production rollout.
Set and monitor product and engineering metrics such as activation, adoption, provisioning speed, deployment success, incident frequency, and retention.
Work closely with product, DevOps, support, and sales stakeholders so technical choices stay aligned with customer needs and business goals.
Apply AI tools across the development workflow to speed up research, design, coding, testing, and analysis while preserving strong quality standards.

Requirements

At least 5 years of software engineering experience, with substantial backend exposure in product, platform, or distributed systems settings.
Demonstrated ability to independently lead and deliver complex technical initiatives from discovery to production and iteration.
A strong product-oriented mindset, with the ability to connect engineering decisions to customer value and business results.
Practical experience creating and supporting production-ready backend services, APIs, and integrations in a modern programming language.
Strong understanding of distributed systems, including asynchronous and event-driven designs and the trade-offs involved.
Direct experience with messaging or streaming technologies such as Kafka, NATS, RabbitMQ, or similar tools.
Experience running services in containerized environments such as Kubernetes, together with CI/CD and observability practices.
Comfort using AI-assisted development tools while maintaining high engineering discipline and quality expectations.
Excellent written and spoken English communication skills.

Benefits

Competitive compensation paid in USD and aligned to experience and impact.
Equity or stock options that allow participation in the company’s long-term growth.
An AI-first engineering setup intended to reduce repetitive tasks and improve productivity.
A modern technology stack with strong exposure to Web3 and infrastructure innovation.
A flat structure with high autonomy and limited bureaucracy.
Flexible working hours that support deep work and better work-life balance.
Exposure to a fast-growing global blockchain and infrastructure market.
An international, diverse team with strong cross-functional collaboration.

Additional information

This position is part of a partner-led hiring process. Applications are reviewed through an AI-supported matching workflow designed to assess candidates against the role’s core requirements in a quick and fair manner. The shortlist is shared with the hiring company, while interviews, assessments, and final hiring decisions are handled internally by that employer.

Privacy and hiring-process notice

By applying, you consent to the handling of your personal data for candidacy evaluation and for sharing relevant information with the hiring employer, based on legitimate interest and pre-contractual processing where applicable under data protection laws, including GDPR. You may request access, correction, deletion, or objection to processing at any time.

AI tools may be used to support parts of the hiring workflow, including resume review, application analysis, response assessment, and checks for possible inconsistencies or verification signals. These tools assist the recruitment process but do not replace human judgment, and the final hiring decision is made by people.

If you want more detail about how your data is processed, you can contact the hiring team directly.

Product Engineer (Platform)