Product Engineer (Data Indexing)

Skills

About the Role

You will join the data team and build systems for high-scale blockchain data access, indexing, and performance. You will own problems end to end, from understanding user needs to building, shipping, and improving production systems, working on performance-sensitive APIs, large datasets, and distributed systems while applying AI-first development workflows.

Requirements

• 5+ years of professional software engineering experience, preferably in backend, data, infrastructure, or distributed systems roles
• Strong production experience with Go, Rust, or comparable backend or systems languages
• Experience owning complex engineering work end to end
• Strong understanding of distributed systems, APIs, data modeling, concurrency, queues, storage, caching, failure modes, and reliability trade-offs
• Hands-on experience with databases and SQL, including schema design, query performance, consistency, and data quality
• Experience with performance-sensitive systems, including benchmarking, profiling, load testing, bottleneck analysis, and capacity planning
• Comfortable with cloud-native infrastructure, CI/CD, containers, observability platforms, and infrastructure-as-code concepts
• Practical experience using AI coding assistants or agentic development workflows
• Ability to write high-quality specs, technical proposals, acceptance criteria, runbooks, and engineering updates
• Strong product sense
• Excellent written and verbal English

Responsibilities

• Own the strategy, technical direction, delivery, and production quality of data infrastructure features from discovery to rollout
• Understand user pain points around blockchain data access, latency, correctness, historical coverage, reliability, and operational visibility
• Translate product and platform needs into clear specs, epics, user stories, acceptance criteria, implementation slices, and rollout plans
• Build backend and data systems in Go and/or Rust, working across databases, queues, object storage, observability, CI/CD, and infrastructure
• Design and improve indexing, caching, validation, benchmarking, and repair workflows for large-scale blockchain data systems
• Use AI-first development practices to accelerate research, specification, implementation, testing, and documentation
• Collaborate with product, infrastructure, support, and customer-facing teams
• Define and analyze technical and product metrics such as latency, throughput, accuracy, freshness, coverage, error rate, reliability, and operational cost
• Create internal tools, benchmarks, dashboards, alerts, and runbooks
• Review code, specs, and designs with focus on correctness, simplicity, maintainability, performance, and production ownership
• Conduct technical research and competitor analysis to improve data products and infrastructure

Benefits

• Stock options
• AI-first environment
• Flexible schedule
• Remote work
• Diverse, multinational team