Registry · PA-44DA2D

Senior Backend Engineer, AWS Serverless, Node.js and Python

Five years building production backends for payments SaaS, energy operations and enterprise retail, lately for a Fortune 1 retailer. Node.js, NestJS and Python on AWS Lambda and SQS or on GCP, with PostgreSQL at the core. Takes a Stripe webhook or a queue-driven pipeline from design to production and stays on it after launch.

Availability

Available nowProfiles presented within 48 hours

Seniority

Senior ยท 5 years

Stack

Node.jsTypeScriptNestJSPythonFastapiDjangoAws lambdaSqsPostgreSQLMongodbRedisGCPKubernetesStripe

Languages

Spanish (native)English (B2)
  1. 2025 to 2026 Backend Engineer (contract) US retail enterprise, through a staffing partnerOct 2025 to Aug 2026
    • Built a centralized, auditable file-distribution API on NestJS, PostgreSQL and Google Cloud Storage.
    • Contributed to Spark ETL pipelines on GCP orchestrated in Airflow.
    • Built REST and GraphQL services for a surplus-management system on Express and TypeORM.
  2. 2024 to 2026 Senior Backend Engineer conversational sales SaaSAug 2024 to Jun 2026
    • Unified the webhooks of two Stripe accounts into one billing and reconciliation pipeline, and raised MRR 22% with subscriptions and add-ons.
    • Scaled a multi-tenant WhatsApp platform from zero to 4,000 daily active users.
    • Made search 28 times faster with Typesense, and cut deploys from 10 minutes to under 30 seconds with Kubernetes rolling updates.
  3. 2025 to 2026 Python Backend Developer (contract) energy company (Mexico)Apr 2025 to Mar 2026
    • Designed a serverless reporting pipeline on AWS Lambda and SQS, provisioned as code with the Serverless Framework.
    • Cut processing time from 30-40 seconds to 6-13 by moving the pipelines to Polars.
  4. 2022 to 2024 Technical Lead software development firm (Spain)Jan 2022 to Aug 2024
    • Led 6 developers across 8 concurrent projects and cut production incidents by a third with CI/CD and code reviews.
    • Took a 2-million-record workflow from 4 hours to 15 seconds with parallel LINQ in C#.

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