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Odoo Learning Partner
Official partner credentials across Community and Enterprise delivery.
Growth · Python-native
Python Backend Development
Production APIs and services — layered architecture, PostgreSQL engineering, integrations, Docker/Linux deploys, and maintainable code standards.
Credentials & trust
Proof before promises
We show the delivery record upfront: partner credentials, published case studies, and NDA-friendly engineering work you can review before sending an inquiry.
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Odoo 10–19 expertise
Community & Enterprise Editions implementations, migrations, integrations, and custom modules.
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45+ modules shipped
Custom modules across client projects, integrations, migrations, and partner work.
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6+ years software development experience
Software delivery across employment, freelance consulting, and founder-led projects.
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NDA & white-label ready
Partner-friendly delivery where client names and confidential work stay protected.
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7 published case studies
Migrations, Shopify, POS, manufacturing, logistics, and self-hosted deployments.
Backend authority
Python services built for production traffic — not tutorial APIs
We design and ship Python backends as operable systems: clear boundaries, observable behaviour, and integrations that survive retries. For process automation layered on top of APIs/ERP, see Python Automation.
Need scheduled process/ERP automation rather than an API product? See Python Automation →
Backend architecture
Layered, API-first services that can scale
Boundaries that keep business rules testable and infrastructure replaceable.
Layered architecture
Transport (HTTP) · application/use-cases · domain rules · infrastructure adapters. Route handlers stay thin; business logic is testable without spinning a server.
API-first approach
Schemas, status codes, pagination, and error contracts are designed for clients — mobile, React, partners — before incidental endpoints appear.
Service architecture
Start with a well-structured service. Split only when team or scale boundaries demand it — not because microservices are fashionable.
Scalability principles
Stateless app processes, durable state in the database/queues, connection pooling, and back-pressure on slow dependencies.
Frameworks & APIs
FastAPI, Django, Flask, REST, GraphQL & jobs
Choose tools for the domain — then operate them like production software.
FastAPI
Typed APIs, OpenAPI generation, async I/O for IO-bound services, and clean dependency injection patterns.
Django
Batteries-included admin, ORM maturity, and structured apps when the domain benefits from Django’s conventions.
Flask
Lightweight services and internal tools where minimal framework surface is the right trade-off.
REST APIs
Resource-oriented endpoints, pagination, filtering, and authn/authz consistent across clients.
GraphQL
When clients need flexible reads without chatty REST — with query cost awareness and clear schema ownership.
Background jobs & queues
Celery/RQ/arq-style workers for email, imports, webhooks, and long tasks — with visibility into failures.
Database engineering
Schema, transactions, indexing & tuning
PostgreSQL as the default store — engineered, not treated as a black box.
Schema design
Normalisation where integrity matters, pragmatic denormalisation where read paths demand it — documented either way.
Transactions
Explicit transaction boundaries for multi-step writes. Avoid long transactions that lock hot tables under load.
Indexing
Indexes driven by real queries and EXPLAIN plans — not speculative indexes that slow every write.
Query optimization
Eliminate N+1 patterns, select only needed columns, and paginate large result sets.
Performance tuning
Connection pools, statement timeouts where appropriate, and vacuum/bloat awareness on long-lived PostgreSQL instances.
Migrations
Expand/contract friendly changes, backup awareness, and production migration steps that do not assume silent downtime.
Integrations
ERP, Shopify, payments, APIs & webhooks
Idempotent writes and failure visibility — especially when money or stock moves.
ERP integrations
Odoo and other ERPs via APIs/RPC with respect for accounting and inventory constraints — not only JSON shape.
Shopify
Order, inventory, fulfilment, and product sync patterns with idempotent writes and exception queues.
Payment gateways
Webhook verification, reconciliation-friendly event handling, and careful handling of partial failures.
Third-party APIs
Timeouts, retries with backoff, rate-limit respect, and circuit-breaking when a dependency is unhealthy.
Webhooks
Signature validation, replay safety, and durable processing so a crash mid-handler does not lose events.
Background processing
Move long work off the request path; expose job status and failure visibility to operators.
Security & testing
Authn, authz, hardening & test strategy
Boundaries that keep “logged in” from meaning “allowed everywhere.”
Authentication
Token/session/OAuth patterns matched to the client with short-lived credentials where possible.
Authorization
Object-level permission checks — authenticated does not mean allowed everywhere.
Hardening habits
Input validation, secrets outside source control, least-privilege DB roles, and safe upload handling.
Testing strategy
Unit tests for domain rules, API contract tests, and targeted integration tests for externals.
Deployment
Linux, Docker, reverse proxy, SSL, monitoring
Ship paths that survive the second month — not only the demo day.
Linux servers
Proven layouts for app users, systemd/process managers, and environment separation.
Docker
Reproducible images for app and workers; compose or orchestrated deploys when the environment needs them.
Reverse proxy & SSL
Nginx/Caddy (or equivalent) termination, HTTPS, and sensible upstream timeouts.
Monitoring & logging
Structured logs, health endpoints, latency/error signals, and queue depth visibility for workers.
Code quality
Reviews, docs, standards & maintainability
Boring, explicit code beats clever code that only one person can change.
Clean architecture habits
Dependencies point inward to domain rules. Infrastructure details stay replaceable.
Code reviews
Reviews catch correctness, security, and maintainability — not only formatting.
Documentation
README for run/deploy, env vars, critical flows, and integration contracts that outlive Slack threads.
Version control & standards
Meaningful commits, protected main, linting/formatting, and coding conventions the team can enforce.
Long-term maintainability
Prefer boring, explicit code over clever shortcuts that only the author understands six months later.
Support & maintenance
How backends stay healthy after go-live
Stabilise, document, then retain — so ownership does not evaporate.
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Stabilise after launch
Watch error rates and slow endpoints in the first weeks; fix defects before they become folklore.
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Dependency & security cadence
Scheduled updates for libraries and base images with staging verification.
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Operational runbooks
How to restart workers, replay failed jobs, and diagnose common integration failures.
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Retainer path
Ongoing care moves to Maintenance (or Odoo Support when ERP-centric) so ownership does not evaporate.
SLA plans and broader retainers: Maintenance & Support →
Code quality
Maintainability over clever shortcuts
Clear boundaries
Separate transport, domain rules, and infrastructure so systems stay testable.
Code reviews
Reviews catch correctness, security footguns, and long-term cost — not only style.
Technical debt visibility
Debt is named and burned down deliberately — not ignored until the next outage.
Boring by design
Explicit code that the next engineer can change beats clever one-liners.
Security habits
Least privilege and safe change control
Secrets hygiene
Credentials stay out of repositories and use least-privilege accounts.
Authz on the server
UI may hide actions; permissions are enforced where they matter.
Input validation
Reject bad payloads early — especially on public APIs and webhooks.
Controlled deploys
Risky changes get staging verification and an agreed production window.
Why trust this engagement
Signals that matter for this service
Relevant proof only — full credentials and portfolio remain available site-wide.
API-first backends
Contracts clients can rely on.
PostgreSQL engineering
Schema, indexes, and transactions treated seriously.
Integration literacy
ERP, Shopify, payments, webhooks.
Operable deploys
Linux, Docker, proxy, SSL, monitoring.
Related case studies
View full portfolio →
Shopify–Odoo automation
Shopify–Odoo integration & product automation
Shopify storefronts connected to Odoo operations — connector sync, stock-aware merchandising, multi-website infrastructure, and custom Product Automation with logging and Manual Run.
Logistics & warehouse
Logistics, barcode & shipping automation
Odoo for high-volume trading and distribution — barcode-driven warehouse picking, shipping automation, and clearer stock states from purchase through delivery.
Related reading in the Knowledge Hub
Published guides, tools, and comparisons — no manual URL required.
Next step
Automating processes on top of the API?
Backend is the service layer — Python Automation covers scheduled ERP and ops workflows.
Frequently asked questions
FastAPI or Django — how do you choose?
FastAPI when you want typed API-centric services and async IO. Django when admin, batteries, and convention speed matter. We choose based on domain and team, not fashion.
Do you build GraphQL by default?
No. REST remains the default for many business APIs. GraphQL is used when client flexibility justifies schema and cost-control complexity.
How does this relate to Python Automation?
Backend is the service layer. Automation is the scheduled/process layer that may call those APIs or ERP. Overlap is normal; the pages stay separate so scope stays honest.
Can you take over an existing Python service?
Yes — after a baseline of tests, secrets, deploy path, and failure modes. Fragile unowned scripts may need a rewrite plan.
How do you approach ERP and Shopify integrations?
Idempotent writes, clear mapping documents, exception queues for bad payloads, and respect for stock/accounting side effects — especially when Odoo is involved.
What about real-time features?
WebSockets/SSE or queue-driven pushes when needed. We keep real-time surfaces narrow and authenticated.
How is the backend maintained after go-live?
Launch stabilisation first, then optional Maintenance retainers for monitoring, patches, and controlled enhancements. See the Maintenance page for SLA plans.
Who owns the source code?
You do. Deliverables land in repositories and environments you control. We do not lock work behind proprietary hosting you cannot leave.
Do you provide documentation?
Yes — run/deploy notes, integration contracts, and handover packages. Documentation is part of delivery, not an unpaid afterthought.
What if requirements change mid-project?
We re-estimate impact on timeline and cost, then confirm before expanding scope. Support retainers separate break/fix from enhancements so incident capacity stays honest.
What happens after delivery?
Knowledge transfer, then a 30-day complimentary window for implementation bugs in our delivered work. Ongoing care moves to a maintenance or Odoo Support retainer if you want continuous coverage.
After you contact us
What happens next
Clear expectations reduce buying uncertainty — no mystery black box after you hit submit.
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We review your inquiry
Within one business day we confirm understanding, ask for missing access/context, and propose the right engagement type.
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We recommend a path
Project, dedicated capacity, support retainer, or rescue assessment — matched to your constraint, not a generic package.
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You decide next
Scoped next step, commercial terms, and kickoff checklist. No hostage tooling — your repos and credentials stay yours.
Discuss a production Python backend
Share API consumers, data stores, and integration dependencies.
