Product Engineer (Platform)

Jobgether

New Zealand

On-site

NZD 205,000 - 307,000

Full time

11 days ago
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Benefits offered by this job

Equity / stock options
AI-first engineering environment
Global, diverse team
High autonomy & ownership

Job summary

Jobgether in New Zealand is seeking a Product Engineer (Platform) to own backend systems powering blockchain infrastructure, taking features from discovery to production, and measuring outcomes.

You will work with cross-functional teams to emphasize reliability, observability, and cost optimization, and apply AI-assisted development tools while shipping scalable services.

Qualifications

  • 5+ years of software engineering experience with strong backend exposure in product/platform environments.
  • Ability to own complex technical projects from discovery through production.
  • Strong product mindset with a focus on customer value and business impact.
  • Experience building production-grade backend services and APIs.
  • Understanding of distributed systems and async/event-driven architectures.
  • Experience with messaging/streaming systems (e.g., Kafka, NATS, RabbitMQ).
  • Experience with containerized deployments (Kubernetes) and CI/CD.
  • Comfort using AI-assisted development tools while maintaining quality.

Responsibilities

  • Own end-to-end product initiatives from discovery to deployment and iteration.
  • Translate infra and customer challenges into clear technical solutions with measurable outcomes.
  • Design and build backend services, APIs, and platform capabilities for blockchain infra.
  • Identify bottlenecks and reliability risks, driving improvements to production.
  • Define and track product and engineering metrics like activation and adoption.
  • Collaborate with product, DevOps, support, and sales to align decisions with needs.
  • Leverage AI tools throughout the development lifecycle while maintaining quality.

Skills

Backend engineering
Distributed systems
Product mindset
English communication
Ownership of complex projects

Tools

Kubernetes
CI/CD
Observability tools
Kafka
RabbitMQ

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Product Engineer (Platform) based in New Zealand.

This is a high-impact, product-first engineering role focused on building and evolving critical backend systems that power blockchain infrastructure at scale. You will take full ownership of features and initiatives, from identifying customer problems to designing solutions, shipping production-ready services, and iterating based on real-world feedback. The role sits at the intersection of backend engineering, platform thinking, and product development, with a strong emphasis on measurable business and customer outcomes. You will work closely with cross-functional teams including product, DevOps, support, and sales to translate complex infrastructure challenges into simple, reliable, and scalable systems. The environment is fast-paced, ownership-driven, and oriented toward autonomy and impact. This position is ideal for engineers who enjoy working close to both users and systems, and who want to see the direct effect of their work on product adoption and reliability.

Accountabilities:
  • Own end-to-end product initiatives, from problem discovery and technical design through implementation, deployment, measurement, and continuous iteration.
  • Translate complex customer and infrastructure challenges (such as provisioning, reliability, scalability, observability, and cost optimization) into clear technical solutions and measurable outcomes.
  • Design and build backend services, APIs, internal tools, and platform capabilities that improve the provisioning, operation, and scaling of blockchain infrastructure.
  • Identify system bottlenecks, reliability risks, and operational inefficiencies, and drive improvements from concept to production.
  • Define and track key product and engineering metrics such as activation, adoption, provisioning time, deployment success rates, incident frequency, and retention.
  • Collaborate closely with cross-functional stakeholders (product, DevOps, support, sales) to align technical decisions with business and customer needs.
  • Use modern AI tools throughout the development lifecycle to accelerate research, design, implementation, testing, and analysis while maintaining high quality standards.
Requirements
  • 5+ years of software engineering experience, with strong backend exposure in product, platform, or distributed systems environments.
  • Proven ability to independently own and deliver complex technical projects from discovery through production and iteration.
  • Strong product mindset, with the ability to connect engineering decisions to customer value and business impact.
  • Solid experience building and maintaining production-grade backend services, APIs, and integrations in a modern programming language.
  • Deep understanding of distributed systems concepts, including asynchronous and event-driven architectures and associated trade-offs.
  • Hands-on experience with messaging or streaming systems (e.g., Kafka, NATS, RabbitMQ, or similar).
  • Experience deploying and operating services in containerized environments such as Kubernetes, including CI/CD and observability practices.
  • Comfortable using AI-assisted development tools while maintaining strong engineering rigor and quality standards.
  • Excellent written and verbal communication skills in English.
  • Competitive USD-based compensation aligned with experience and impact.
  • Equity / stock options enabling participation in long-term company growth.
  • AI-first engineering environment designed to reduce repetitive work and enhance productivity.
  • Modern, cutting-edge tech stack with strong exposure to Web3 and infrastructure innovation.
  • Flat organizational structure with high autonomy and minimal bureaucracy.
  • Opportunity to build in a rapidly growing global infrastructure and blockchain market.
  • Diverse, international team with strong cross-functional collaboration.
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