Lead Backend Engineer
- Role
- Backend
- Experience
- Lead
- Employment
- Full-time
The listing doesn't say where it hires from. Check the description or the employer's site before applying.
No BS summary
Lead Backend Engineer, 5+ yrs experience, strong in TypeScript/Node.js. Must have experience with data pipelines and SQL. Remote work, familiarity with blockchain/DeFi is a plus.
Required skills
Optional skills
Shaik A.’s Post
4d
We're Hiring: Lead Engineer | Remote | Full-time We're building something ambitious — a platform that sits at the intersection of structured knowledge work, AI agents, and data integrity. If you're a backend engineer who wants to work on genuinely hard problems across data infrastructure, AI agent systems, and cryptographic provenance — read on. This is a hands-on lead role. You'll architect and build, not just review. 🏗️ What You'll Build: Phase 1 — Workflow Automation & Data Infrastructure Deterministic importers with hierarchy, integrity validation, and JSON exporters Scope selection, block-ID mapping, change tracking, and hierarchical diffing Automated proposal generation with citations and traceability Reliable data pipelines against blockchain nodes, DEX APIs, price feeds, and lending protocol data Schemas for chain data, market data, and DeFi protocol state with data quality checks Data substrate that AI agents can query for risk analysis Monitoring, alerting, and validation layers built for determinism Phase 2 — Deep Knowledge-Work IDE Foundations Large-tree virtualisation, multi-select, conflict detection, and structure linting Side-by-side hierarchical diff, evidence/citations sidebar, rationale tracing Novel cognitive interfaces — graph-outline hybrids, spatial canvases, dynamic lenses AI agent execution environments: MCP-based agents, tool definitions, provenance tracking, and guardrails Cryptographic proof systems for data integrity — merkle trees, commitment schemes Event-sourcing architecture for complete provenance and temporal queries Identity and permission systems that scale across agents and analysts ✅ What We're Looking For: 5+ years building production backend/server-side systems Strong TypeScript/Node.js proficiency Experience with Python, Go, Rust, or Java Advanced SQL and relational modelling Experience building data pipelines against third-party APIs End-to-end ownership mindset — you architect, build, and stay accountable ⭐ You'll Stand Out If You Have: Experience with blockchain data infrastructure or DeFi protocol integrations Background in event-sourcing or CQRS architectures Familiarity with MCP-based AI agent frameworks Experience with cryptographic systems — merkle trees, commitment schemes, ZK proofs Knowledge-management or structured document tooling experience 📍 Remote | Full-time | Lead-level 💬 If this sounds like the kind of problem space you want to live in, DM me directly or drop your CV in the comments. Happy to share more about the roadmap and team.#BackendEngineer #LeadEngineer #TypeScript #NodeJS #Hiring #RemoteJobs #RemoteWork #DataEngineering #AIAgents #Web3 #DeFi #BlockchainDev #HiringNow #SoftwareEngineer #TechJobs #EventSourcing #DataInfrastructure #FullStack
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What you'll do
- Architect and build backend systems for data infrastructure, AI agent systems, and cryptographic provenance
- Build deterministic importers with hierarchy, integrity validation, and JSON exporters
- Implement scope selection, block-ID mapping, change tracking, and hierarchical diffing
- Build automated proposal generation with citations and traceability
- Create reliable data pipelines against blockchain nodes, DEX APIs, price feeds, and lending protocol data
- Design schemas for chain data, market data, and DeFi protocol state with data quality checks
- Build an AI-queryable data substrate for risk analysis
- Develop monitoring, alerting, and validation layers for determinism
- Build large-tree virtualisation, multi-select, conflict detection, and structure linting
- Implement side-by-side hierarchical diff, evidence/citations sidebar, and rationale tracing
- Develop cognitive interfaces such as graph-outline hybrids, spatial canvases, and dynamic lenses
- Build AI agent execution environments with MCP-based agents, tool definitions, provenance tracking, and guardrails
- Implement cryptographic proof systems for data integrity
- Design event-sourcing architecture for provenance and temporal queries
- Build identity and permission systems for agents and analysts
What they require
- 5+ years building production backend/server-side systems
- Strong TypeScript/Node.js proficiency
- Experience with Python, Go, Rust, or Java
- Advanced SQL and relational modelling
- Experience building data pipelines against third-party APIs
- End-to-end ownership mindset
- Hands-on lead role with architecture and building responsibilities
Building a platform at the intersection of structured knowledge work, AI agents, and data integrity.