Product Engineer (Data Indexing)
Are you a strong backend engineer who enjoys building high-performance systems and owning products end to end? Join Chainstack and help power the next generation of blockchain data infrastructure.
About us
Chainstack powers global blockchain applications across fintech, DeFi, wallets, custodians, analytics, and everything in between. Teams cut time-to-market, cost, and risk with one platform for nodes in the cloud, offered through preferred service providers, or self-hosted. Standardized node management puts reliability on autopilot and keeps performance predictable, giving operators control and transparency while developers get a consistent way to build and scale.
About the role
We are looking for a Product Engineer to join our data team and build systems for high-scale blockchain data access, indexing, and performance. In this role, you will own problems end to end, from understanding user needs to building, shipping, and improving production systems. You will work on performance-sensitive APIs, large datasets, and distributed systems, while applying AI-first development workflows.
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, and work across databases, queues, object storage, observability, CI/CD, and infrastructure when needed.
- 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 while maintaining a high verification bar.
- Collaborate with product, infrastructure, support, and customer-facing teams to gather context, make trade-offs, and close the loop after release.
- 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 that make system behavior observable and easier to operate.
- Review code, specs, and designs with focus on correctness, simplicity, maintainability, performance, and production ownership.
- Conduct technical research and competitor analysis to identify opportunities for improving data products and infrastructure.
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: requirements, design, implementation, testing, release, observability, and iteration.
- 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 working with cloud-native infrastructure, CI/CD, containers, observability platforms, and infrastructure-as-code concepts.
- Practical experience using AI coding assistants or agentic development workflows for non-trivial engineering tasks.
- Ability to write high-quality specs, technical proposals, acceptance criteria, runbooks, and concise engineering updates.
- Strong product sense with ability to connect technical work to user impact and measurable outcomes.
- Excellent writte