Full Stack Developer

Posted last month

Worldwide

Summary

Full-Stack Developer — Orchestration Engine (Backend-Heavy) We are building a production-grade Orchestration Engine (OE) — a runtime governance, decision, audit, and escalation platform. The system receives triggers from industrial and enterprise sources (IoT, SCADA, MES, ERP, CV, and manual APIs), applies versioned policy, creates governed outbound task intents, manages timers and escalations, and maintains an immutable audit trail with deterministic replay capability. Primary Stack: FastAPI · PostgreSQL · Celery · Redis · Docker · OpenAPI Project Structure: 10 Milestones × 10 Deliverables — $60 per milestone — $600 total | # | Milestone | Key Deliverables | |---|-----------|-----------------| | 1 | Foundation & Repo Baseline | Service boundary, health/readiness endpoints, module structure, OpenAPI, migrations, Docker Compose, test framework, developer README | | 2 | Runtime Intake & Source Registry | Source registry, raw event table, API key/HMAC auth, schema/contract validation, idempotency, batch intake, rejection logging | | 3 | Context Resolution & Fusion | Context snapshot tables, resolver interface, configurable shift/schedule model, freshness thresholds, ambiguity handling, context quality endpoint | | 4 | Policy Engine & Decisioning | Versioned immutable policy bundles, severity classifier, suppression rules, structured decision model, deterministic decision fingerprint, audit mode | | 5 | Workflow Resolver & Outbound Intents | Workflow runtime references, outbox-backed task creation, idempotency, retry/dead-letter worker, simulated task consumer with full callback contract | | 6 | Callback Reconciliation & Evidence Governance | Task state machine, full callback lifecycle, invalid transition rejection, evidence reference model (hash/URI only), policy-driven evidence closure | | 7 | Timer, SLA & Escalation Engine | Persisted timer types (SLA, evidence, shift, escalation), restart recovery, breach handling, escalation paths, staffed-shift timing, accuracy tests | | 8 | Incidents, Cases, Correlation & Camera Access | Case/incident tables, policy-driven correlation, absence detection, operator events, writeback governance, camera access decisioning with full audit | | 9 | Immutable Audit, Replay & Compliance | Append-only audit ledger, hash chaining, override/intervention governance, replay bundle model, evidence pack assembly, GDPR redaction controls | | 10 | Integrations, Observability & Production Readiness | Simulated source adapters, observability endpoints, kill-switch controls, dead-letter tooling, admin APIs, AI-advisory-only schema (non-authoritative by constraint) | What we're looking for: - Strong Python/FastAPI backend experience - PostgreSQL schema design (constraints, triggers, immutability patterns) - Celery + Redis worker patterns - Event-driven / outbox architecture experience - Comfortable working from detailed technical specs - Clean, tested, production-ready code from day one - No hardening

  • $600.00

    Fixed-price
  • Intermediate
    Experience Level
  • Remote Job
  • Ongoing project
    Project Type
Skills and Expertise
Mandatory skills
PostgreSQL
Redis
FastAPI
Activity on this job
  • Proposals:20 to 50
  • Last viewed by client:last month
  • Interviewing:
    0
  • Invites sent:
    0
  • Unanswered invites:
    0
About the client
Member since Oct 30, 2023
  • United Kingdom
    Wembley Park12:29 PM
  • $3.4K total spent
    34 hires, 10 active
  • Manufacturing & Construction
    Individual client

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