Senior Integration Engineer

TLG manages the Marketplace ecosystem: connecting catalogs, pricing, inventory, and orders between SFCC/internal systems and dozens of third-party marketplaces (Zalando, Miinto, Nordstrom, Amazon, Mirakl, Farfetch, and others), with production deployments running on Kubernetes.

The tlg-mkt repository is a multi-submodule monorepo (Bitbucket) containing shared libraries, platform services, database connectors, and one submodule per marketplace (mktps/mkt-marketplace-). Each integration exposes microservices and jobs (catalog connector, order connector, feed export, Kafka consumers, cron jobs).

What you'll do:

• Develop and maintain marketplace connectors (catalog, inventory, orders, RMA, feed export) in Python, leveraging the core shared libraries.

• Extend the product connector and ingestion/feed export flows (JSONata mapping, feed caching, batch jobs, metrics).

• Collaborate on PostgreSQL migrations (Alembic in mkt-marketplace-db) and brand/channel-specific configurations.

• Integrate and troubleshoot event-driven workflows (Kafka, consumer groups, KEDA on Kubernetes clusters).

• Contribute to data quality and parity initiatives (comparison of enrichment strategies, feed equivalence, coverage/diff reporting) as required by the product roadmap.

• Write tests (pytest), comply with type checking (basedpyright), and follow the team's branching and release model.

• Support deployments and troubleshooting across development, staging, and production environments (Helm, environments, secrets, logs).

What we're looking for:

• 3+ years (Mid-level) or 5+ years (Senior-level) experience developing Python backend applications in production environments.

• Solid understanding of distributed systems concepts (idempotency, retries, dead-letter queues, backpressure).

• Ability to navigate large legacy codebases, ADRs/internal documentation, and effectively reduce scope (targeted fixes, no over-engineering).

• Clear communication skills in Italian and/or English when collaborating with Product, Operations, and other developers on marketplace integrations.

• Ability to independently set up a local development environment: Poetry, PostgreSQL in Docker, Git submodules, .env configuration, and integration testing.

Technical Stack (Must-Have):

• Python 3.11+

• Poetry, Poe (task runner), pytest

• FastAPI / Starlette (where applicable), microservices architecture patterns

• PostgreSQL, SQLAlchemy, Alembic migrations

• Apache Kafka (producer/consumer patterns, schema evolution)

• JSONata (feed export and catalog mapping)

• Kubernetes, Helm (mktp-base-chart), KEDA, Docker

• Bitbucket Pipelines, Azure Artifacts (private PyPI repository)

• basedpyright, Black/Ruff repository conventions

Nice to have:

• Experience with B2B2C e-commerce, marketplaces, or PIM/product catalog systems (variants, price books, inventory).

• Knowledge of Salesforce Commerce Cloud (SFCC), SCAPI, or OCAPI (orders, catalog management).

• Familiarity with Mirakl or similar marketplace APIs.

• Experience working with monorepos, Git submodules, and multi-repository release processes.

• TypeScript and edge workers (e.g., Cloudflare) if the team expands ingestion pipelines alongside the Python core.

• Experience with observability tools (Prometheus, Pushgateway) and cloud operations (AWS/Azure — depending on team alignment).

What you'll find in the project (real examples)

• 20+ marketplace integrations under mktps/, each with dedicated connectors.

• Shared libraries: mkt-marketplace-core-lib, products-core, orders-core, mirakl-lib, test-core.

• Platform components: APIs, admin tools, monitoring, centralized database, and shared Helm deployments.

• Typical work includes: launching a new marketplace channel, fixing feed exports, building file/API ingestion jobs, maintaining order consumers, tuning batch processes, and configuring databases for specific brands (e.g., LN-CC, Cavalli, etc. — subject to confirmation with the team).

Current Initiative (example)

Comparative analysis of catalog enrichment strategies (V1 shopper vs. V2 admin_primary), including side-by-side PostgreSQL schemas, payload canonicalization, and feed-critical parity reporting. This is particularly relevant for candidates with a strong interest in data quality, catalog pipelines, and product data governance.

What we offer:

• Benefits: monthly lunch tickets, discounts to our owned brands and brand partners, and additional perks in the form of local discounts and offers.

• Learning & Development: continuous learning experience with TLG University and other projects.

• Workplace & People: be part of the young (31 on avg.) and international (30+ nationalities) #TLGpeople group and work in a dynamic and fast-moving environment.