Product Engineer, Chainstack

• 5+ years of software engineering, ideally in backend, product, platform, or distributed-systems roles
• A track record of owning projects end to end: discovery, design, build, test, deploy, measure, iterate
• Strong product sense. You connect technical work to customer value, commercial impact, and measurable outcomes
• Solid backend experience building production services, APIs, and integrations in a modern language
• Real understanding of distributed systems, asynchronous and event-driven architecture, and the reliability trade-offs
• Hands-on with at least one message broker or event-streaming tool (NATS, Kafka, RabbitMQ, or similar)
• Experience designing, deploying, and operating services in Kubernetes and containerized environments
• Comfortable operating what you ship: CI/CD, observability, and basic production ownership
• A practical AI-native workflow. You use coding and research agents and debugging assistants to speed up design, implementation, testing, and analysis, without dropping your bar for correctness
• Excellent written and spoken English

Desirable

• We're looking for a Product Engineer to own customer and business problems end-to-end behind blockchain infrastructure: understand the opportunity, shape the solution, ship it, measure the outcome, and keep improving it in production
• You'll work across backend services, infrastructure workflows, developer experience, and customer-facing product, partnering with product, platform, DevOps, support, and sales to turn real customer and operational needs into simple, scalable products
• This is a product-first role. Strong product judgment and end-to-end backend ownership are the core. Platform and infra depth (Kubernetes, IaC, on-call) is a strong plus, not a gate
• We care that you understand what customers are trying to do, how your decisions move revenue, retention, adoption, and support load, and how to turn that into shipped work
• Own product initiatives end to end: from problem definition through spec, build, rollout, measurement, and iteration
• Turn ambiguous customer and operational problems (provisioning, reliability, scalability, observability, deployment, pricing, usage) into clear plans and measurable outcomes
• Build backend services, APIs, internal tools, and customer-facing capabilities that make blockchain infrastructure easier to provision, operate, and scale
• Spot friction, reliability risks, scaling limits, and missed opportunities, then drive practical fixes from concept to production
• Define and improve the metrics that matter: activation, adoption, provisioning time, deployment success rate, operational cost, incident frequency, support volume, retention
• Use AI across the workflow (research, specs, implementation, testing, analysis) to move faster, with a high bar for verifying what it produces
• Work across product, engineering, DevOps, support, and sales, and communicate decisions, trade-offs, and risks clearly in writing