Engineering / Tech Lead Python Engineer [Synchronizer]

WE ARE LOOKING FOR YOU ¡¡HeyDonto is seeking aTech Lead Python Engineerto 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 onKafka-based event processing ,asynchronous Python , andFHIR-compliant healthcare data pipelinesonGoogle Cloud Platform .

Technical Responsibilities

System Design & Leadership

Lead the development of microservices usingFastAPIandUvicorn/Uvloopin an asynchronous architecture

Guide system design forKafka-based, event-driven workflowswithexactly-once and idempotent semantics

Architect and implement theoutbox patternfor reliable event publishing and distributed consistency

Collaborate cross-functionally to define scalable and fault-tolerant system boundaries

Advocate for observability, CI/CD hygiene, and defensive programming practicesBackend Engineering

Develop and maintain type-safe, asynchronous Python (Python 3.10+) usingmypyin strict mode

Implement robust retry logic withStaminaand structured error handling withSentry

Create scalable API endpoints with OpenAPI documentation and testable interfaces viadependency injection

Write concurrent HTTP clients for high-throughput web scraping and data extraction

Automate data capture tasks usingPlaywrightfor browser-based workflows

UseAttrs(instead of dataclasses) for structured, immutable data modelingData Engineering & Healthcare Integration

Design and build ETL pipelines that ingest and transformFHIR healthcare data

Work withFHIR Resources (v8.0.0)and theGCP FHIR Storefor secure, standards-compliant data exchange

Validate and serialize healthcare data usingPydantic-Avroand schema-driven approaches

Ensuredata lineage, provenance, and schema transformationintegrity across the pipeline

Implemententity resolutionand high-throughput data mapping mechanismsInfrastructure & Platform Operations

Containerize services usingDocker , optimizing for reliability and reproducibility

Collaborate onCI/CD pipelines , ensuring test coverage and deployment safety

Monitor and trace production systems with structured logging andSentryerror tracking

Deploy and scale services onGoogle Cloud Platform (GCP)using Kubernetes

Configure service health checks, metrics, and autoscaling policiesTechnical Requirements

Core Languages & Frameworks

Expert Python (6+ years) with deep async programming and type safety practices

FastAPI, SQLAlchemy, andPostgreSQL(via psycopg2-binary)

pytest with parameterized, integration, and mocking test strategiesDistributed Systems & Event-Driven Architecture

Proficient InApache Kafka , Including

Designingidempotent consumers and event processors

Handlingmessage serialization , ordering, and partitioning

Implementing theoutbox patternfor reliable message delivery

Familiar withCQRS ,event sourcing , andasynchronous message orchestrationData & Healthcare Integration

Hands-on experience withFHIR data modelsand healthcare interoperability standards

Working knowledge ofGoogle Cloud FHIR Storeand GCP data services

Experience with schema validation, Avro serialization, anddata integrity in distributed systemsTooling & Infrastructure

Docker and multi-stage container builds

Google Cloud Platform (GCP) for deployment and data services

Kubernetes scaling and configuration strategies

Observability tooling including logging, metrics, health checks, andSentry

Familiarity withUvicorn/Uvloop ,Stamina ,Attrs , andPydantic-AvroLeadership & Collaboration

Proven ability to mentor and unblock team members

Strong communication across engineering, product, and ops

Skilled at code reviews, system documentation, and technical planning

Ownership mindset with a focus on team productivity and technical qualityTechnical Skills Assessment Areas

Kafka event stream design with idempotent and fault-tolerant processing

Type-safe, async Python with concurrency and high reliability

Schema transformation and validation for FHIR-compliant data

Design of retry strategies and distributed error handling

CI/CD automation and deployment on GCP

Role

Testability and observability of complex backend servicesThis role is ideal for a senior engineer ready to lead a team through complex challenges inhealthcare data integration ,distributed systems , andevent-based architecture —with a hands-on approach to engineering excellence.Hiring Details:

Work Type: On-Site

City: Guadalajara, Jalisco, Mexico

Salary Offer: Negotiable

English Level: Native or AdvancedIf you are interested in applying, please send your CV in English ******,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 expectations

Availability for interview

Availability to join the team