Product Engineer, Data Indexing

Job not on LinkedIn

🔥 13 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 57 days.
• No salary listed.

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Chainstack 🛠️💙

WebsiteLinkedInAll Job Openings

51 - 200 employees

🌐 Web 3

₿ Crypto

💰 $6M Venture Round on 2024-05

Web 3 • Crypto

Chainstack is a platform offering blockchain infrastructure solutions designed to make the deployment and management of nodes efficient and accessible. Specializing in Web3 development, Chainstack provides services including cloud hosting, private networking, and decentralized storage solutions like IPFS. The company emphasizes reliability and flexibility, catering to enterprises and developers with scalable and customizable infrastructure capabilities.

📋 Description

• 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 specs, epics, user stories, acceptance criteria, implementation slices, and rollout plans • Build backend and data systems in Go and/or Rust 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 for research, specification, implementation, testing, and documentation while maintaining verification standards • Collaborate with product, infrastructure, support, and customer-facing teams • Define and analyze metrics including latency, throughput, accuracy, freshness, coverage, error rate, reliability, and operational cost • Create internal tools, benchmarks, dashboards, alerts, and runbooks • Review code, specifications, and designs for 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 written and verbal English • Nice to have: experience with blockchain infrastructure, blockchain data, RPC APIs, archive data, indexing, or node operations • Nice to have: experience with high-volume data pipelines, event streaming, workflow orchestration, analytical databases, or object storage • Nice to have: experience with spec-first workflows such as RFCs, ADRs, or similar engineering planning practices • Nice to have: experience building internal tools, diagnostic CLIs, benchmark suites, repair workflows, or operational automation • Nice to have: familiarity with AI tools for research, documentation, data analysis, code generation, and verification • Nice to have: experience working in infrastructure teams with direct ownership of reliability and performance outcomes

🏖️ Benefits

• Stock options • AI-first environment using AI to reduce repetitive work • Cutting-edge tech stack and modern infrastructure • Flat structure with no bureaucracy • Flexible schedule • Global, fast-growing market • Diverse, multinational team

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