Product Engineer (Data Team)

Full-Time Remotemid

EngineeringProduct Engineer

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Quick Summary

Requirements Summary

requirements, design, implementation, testing, release, observability, and iteration. Strong understanding of distributed systems, APIs, data modeling, concurrency, queues, storage, caching,

Technical Tools

EngineeringProduct Engineer

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.

Chainstack powers global blockchain applications across fintech, DeFi, wallets, custodians, analytics, and everything in between.

About the Role

~1 min read

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

~1 min read

→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

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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 written and verbal English.

Nice to Have

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Experience with blockchain infrastructure, blockchain data, RPC APIs, archive data, indexing, or node operations.
Experience with high-volume data pipelines, event streaming, workflow orchestration, analytical databases, or object storage.
Experience with spec-first workflows such as RFCs, ADRs, or similar engineering planning practices.
Experience building internal tools, diagnostic CLIs, benchmark suites, repair workflows, or operational automation.
Familiarity with AI tools for research, documentation, data analysis, code generation, and verification.
Experience working in infrastructure teams with direct ownership of reliability and performance outcomes.

What We Offer

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At Chainstack, we invest in our people and provide a work environment that fosters growth, flexibility, and innovation:

✓Competitive salary in USD - Fair, transparent compensation based on experience and impact.

✓Stock options - Share in Chainstack's growth and long-term success.

✓AI-first environment - Use AI practically and responsibly to reduce repetitive work, improve workflows, and focus more time on judgment, product insight, customer understanding, and shipping.

✓Cutting-edge tech stack - Work with modern infrastructure and stay close to Web3 innovation.

✓Flat structure, no bureaucracy - Take ownership, move fast, and make decisions with real impact.

✓Flexible schedule - Work when you are most productive and maintain balance.

✓Global, fast-growing market - Build in a rapidly evolving industry with real customer demand.

✓Diverse, multinational team - Collaborate with people across countries, backgrounds, and functions.