Tech Lead Python Engineer

WE ARE LOOKING FOR YOU, TECH LEAD PYTHON ENGINEER¡¡HeyDonto is seeking a Tech Lead Python Engineer to lead the development of our healthcare data synchronization platform. You’ll guide a team of engineers in building cloud-native microservices to orchestrate complex, event-driven data flows. This role emphasizes hands-on engineering, mentorship, and strong system design—with a particular focus on Kafka-based event processing, asynchronous Python, and FHIR-compliant healthcare data pipelines on Google Cloud Platform.Technical Responsibilities:System Design & LeadershipLead the development of microservices using FastAPIand Uvicorn/Uvloop in an asynchronous architectureGuide system design for Kafka-based, event-driven workflows with exactly-once and idempotent semanticsArchitect and implement the outbox pattern for reliable event publishing and distributed consistencyCollaborate cross-functionally to define scalable and fault-tolerant system boundariesAdvocate for observability, CI/CD hygiene, and defensive programming practicesBackend EngineeringDevelop and maintain type-safe, asynchronous Python (Python 3.10+) using mypy in strict modeImplement robust retry logic with Stamina and structured error handling with SentryCreate scalable API endpoints with OpenAPI documentation and testable interfaces via dependency injectionWrite concurrent HTTP clients for high-throughput web scraping and data extractionAutomate data capture tasks using Playwright for browser-based workflowsUse Attrs (instead of dataclasses) for structured, immutable data modelingData Engineering & Healthcare IntegrationDesign and build ETL pipelines that ingest and transform FHIR healthcare dataWork with FHIR Resources (v8.0.0) and the GCP FHIR Store for secure, standards-compliant data exchangeValidate and serialize healthcare data using Pydantic-Avro and schema-driven approachesEnsure data lineage, provenance, and schema transformation integrity across the pipelineImplement entity resolution and high-throughput data mapping mechanismsInfrastructure & Platform OperationsContainerize services using Docker, optimizing for reliability and reproducibilityCollaborate on CI/CD pipelines, ensuring test coverage and deployment safetyMonitor and trace production systems with structured logging and Sentry error trackingDeploy and scale services on Google Cloud Platform (GCP) using KubernetesConfigure service health checks, metrics, and autoscaling policiesTechnical RequirementsCore Languages & FrameworksExpert Python (6+ years) with deep async programming and type safety practicesFastAPI, SQLAlchemy, and PostgreSQL (via psycopg2-binary)pytest with parameterized, integration, and mocking test strategiesDistributed Systems & Event-Driven ArchitectureProficient in Apache Kafka, including:Designing idempotent consumers and event processorsHandling message serialization, ordering, and partitioningImplementing the outbox pattern for reliable message deliveryFamiliar with CQRS, event sourcing, and asynchronous message orchestrationData & Healthcare IntegrationHands-on experience with FHIR data models and healthcare interoperability standardsWorking knowledge of Google Cloud FHIR Store and GCP data servicesExperience with schema validation, Avro serialization, and data integrity in distributed systemsTooling & InfrastructureDocker and multi-stage container buildsGoogle Cloud Platform (GCP) for deployment and data servicesKubernetes scaling and configuration strategiesObservability tooling including logging, metrics, health checks, and SentryFamiliarity with Uvicorn/Uvloop, Stamina, Attrs, and Pydantic-AvroLeadership & CollaborationProven ability to mentor and unblock team membersStrong communication across engineering, product, and opsSkilled at code reviews, system documentation, and technical planningOwnership mindset with a focus on team productivity and technical qualityTechnical Skills Assessment AreasKafka event stream design with idempotent and fault-tolerant processingType-safe, async Python with concurrency and high reliabilitySchema transformation and validation for FHIR-compliant dataDesign of retry strategies and distributed error handlingCI/CD automation and deployment on GCPTestability and observability of complex backend servicesThis role is ideal for a senior engineer ready to lead a team through complex challenges in healthcare data integration, distributed systems, and event-based architecture—with a hands-on approach to engineering excellence.ENGLISH LEVEL: ADVANCED OR NATIVEHiring Details:Work Type: HybridCity: Guadalajara, Jalisco, MexicoSalary Range: 90k to 140k MXN per month + Sign-in bonusPTO Relocation bonusIf you are interested in applying, please send your CV in English to maria@, mentioning the name of the position you are applying for in the subject of the email. In the body of the email, please include the following information:Salary expectationsAvailability for interviewAvailability to join the team

Creado: Jue, 01 de Ene de 1970