Remote-capable backend engineering - Business systems that can be operated

Python Backend / API Automation for business workflows.

I turn one messy workflow into a backend-owned slice: FastAPI endpoint, PostgreSQL model, admin queue step, REST/OpenAPI contract, API/CRM mapping, pytest/API smoke check, logs, docs, and handoff notes.

GitHub recruiter handoff OpsDesk Reviewer Replay LinkedIn profile signal LinkedIn recruiter packet First backend fit PDF resume

Role signal Primary target: remote-capable Junior Python Backend / API Automation. Python backend/API automation first; QA/API, CRM/API integration, application support, and internal tools as adjacent lanes.

First work sample OpsDesk Reviewer Replay proves synthetic webhook intake -> duplicate idempotency -> operator queue -> status handoff -> outbox dispatch -> metrics -> OpenAPI checks with CI and privacy audit. DriveDesk Business Intake API Handoff shows the real-work API/admin/outbox handoff with synthetic public evidence.

First result One FastAPI endpoint, data model, admin queue step, API/CRM mapping, pytest/API smoke check, SQL check, or runbook gap.

Team fit English-first or Russian-speaking async review, distributed delivery, privacy boundaries, CI, runbooks, and handoff quality.

Recruiter Review Notes

Best first message: send the role title and one useful success condition. Remote setup, stack/systems, timeline, and compensation band can follow after fit is clear. I will answer with fit risks, the strongest work sample, and the smallest useful first slice I would own.

Message me first when there is one messy workflow, one risky integration boundary, or one Python/backend automation, API/CRM, QA/API, support-diagnostics, or internal-tools slice that should become testable, logged, documented, and handed off.
First reply promise fit read, risky assumptions, smallest responsible first slice, work sample to inspect, and the right next path: remote-capable role screen, technical review, scoped project, or no-fit.
Recruiter offer triage send role title and one useful success condition first; add remote setup, stack/systems, team surface, first-month ownership, hiring timeline, and compensation band after fit is clear.
Suggested recruiter path GitHub recruiter handoff -> OpsDesk Reviewer Replay -> DriveDesk Business Intake API Handoff -> LinkedIn Recruiter Packet -> First Backend Role Fit -> PDF resume. Use the recruiter review pack only after the role fit is clear. Message on LinkedIn with the role title and one useful success condition.

AI-assisted delivery boundary: AI tooling helps with discovery, implementation options, debugging, docs, tests, and review, while state boundaries, privacy checks, tests, logs, Docker/CI handoff, runbooks, and shipped quality stay reviewable.

Search-fit keywords: Python, FastAPI, PostgreSQL, REST/OpenAPI, SQL, pytest, Docker Compose, GitHub Actions, CRM/API integration, admin workflows, Telegram workflows, RAG workflow evidence, audit logs, retries, runbooks, and handoff notes.

Fast Decision Snapshot

Remote-capable full-time role

Best fit: Junior Backend Developer, Junior Python Developer, Back End Developer, Python Developer, Python automation, QA Automation Python, integrations, internal tools, Python/FastAPI/PostgreSQL, Docker/CI handoff.

Open role targets

Technical review

Fast review: code, CI, live smoke, runtime boundaries, adapter contracts, runbooks, and public-safe evidence.

Open technical review path

Scoped project after role fit

Secondary route after a hiring fit screen: one messy workflow, one success condition, and a working slice with tests, logs, docs, and a handoff path.

Work with me

Fast fit checklist

Strongest match: remote-capable or async-reviewed work with a concrete success condition, real systems, and a useful first slice. Not a fit: onsite-only roles, pure prompt/content tasks, isolated static websites, student/course assignments, standalone game clones, generic mobile/ecommerce apps without backend/integration ownership, or undefined outcomes.

Open start route

Risk-to-review map

Workflow state, automation output, CRM handoff, and remote delivery risks are mapped to validation checks, approvals, outbox, retries, CI, smoke checks, runbooks, and handoff notes.

Open hiring decision

Review Directory

Pinned Evidence Repositories

First Backend Role

Bounded Python/backend tasks, reviewable diffs, tests or smoke checks, docs, handoff, and public-safe evidence.

First-role bridge Python Review

Autoschool Intake/Admin

Public-safe business workflow evidence: Telegram request, backend validation, database record, admin queue, operator status workflow, and privacy boundary.

Python Admin Privacy

DriveDesk Core

Operations and integration backend foundation: tenants, RBAC, audit/outbox, adapters, OpenAPI, CI, docs and public demo.

FastAPI PostgreSQL OpenAPI

AI Ops Workflow Kit

Deeper workflow backend evidence: document/CRM/call intake, first-slice playbook, privacy redaction before RAG/approval/CRM handoff, RAG retrieval, transcript analysis, lead scoring, Telegram approval callback, dry-run CRM handoff, idempotent outbox, live PostgreSQL/pgvector state, restart persistence, Docker, CI, reviewer acceptance report, and n8n integration boundaries.

RAG Docker Workflows

DeployMate

Docker/CI reliability evidence: FastAPI, Next.js, PostgreSQL, SSH runtime tooling, CI/CD, health checks, evidence bundles, review packet, runbooks and incident handling.

Docker / CI SSH Evidence

MPlusForm

Validation and trust-boundary evidence around client-side data, Python/Lua sync, Windows automation and operator docs.

Python Validation Windows

Deeper Workflow Sample

DriveDesk AI/RAG workflow is deeper backend/API evidence after the first-role backend/API fit is clear: import documents, upload a transcript or CRM lead, transcribe call audio, run RAG and call analysis, approve the draft in Telegram, then create a CRM task/comment through a reliable adapter contract.

Open AI/RAG workflow case / Open DriveDesk backend workflow

Backend-Owned Workflow

The selling point is not gluing nodes together. The backend owns state, RAG, audit, retries, idempotency, quality checks and adapter contracts; n8n stays the orchestration layer.

Review scoped project offers

First Month Ownership

First 48 hoursMap workflow, technical surface, risks and first provable slice.
Week 1Stabilize boundaries, smoke checks, contracts and first implementation plan.
Week 2Ship one working API/admin/integration/QA or support-diagnostics slice with evidence.
Weeks 3-4Harden, document, demo and turn findings into the next slices.

Open the first month delivery plan

Best-Fit Work

Remote rolesPython backend/API automation, QA/API Python, integration/API/CRM, support-with-Python, and internal tools.
Scoped projectsSecondary RAG, integration, QA/API and Docker/CI handoff packages after backend/API fit.
Operating styleUse AI-assisted review carefully, then verify with code, tests, logs, docs and runbooks.
EvaluationSend one messy workflow plus one success condition.