Tech Stack
AWSDjangoGRPCKafkaKubernetesMicroservicesPandasPythonRabbitMQSQL
About the role
- Design and build services for Workflows/Pipelines that power data processing for templates and automations (e.g., rules engine, lookup tables)
- Contribute to the Document Creation Flow (end-to-end document setup) in close collaboration with Product and other CVT teams
- Partner directly with stakeholders to clarify requirements and turn them into production-grade solutions
- Own features end-to-end — from problem definition through delivery, rollout, monitoring, and continuous improvement
- Join on-call rotation and strengthen reliability practices
- Work in a Scrumban process with close Product collaboration and cross-team coordination to ship reliable, scalable backend services that customers use daily
Requirements
- 5+ years of professional experience with Python and delivering scalable, available, maintainable, and performant solutions
- Apply software design patterns thoughtfully for extensibility, adaptability, and quality
- Experience with Django, microservices, and relational databases (SQL, migrations, optimization)
- Experience with message queues (RabbitMQ, NATS, Kafka) and event-driven systems
- Experience with AsyncIO frameworks and Django services with Celery workloads
- Familiarity with AWS and Kubernetes for provisioning and deployments
- Experience with messaging/event tools (NATS, Kafka/Debezium); knowledge of gRPC/Temporal is a plus
- Write unit and end-to-end tests as part of workflow
- Ability to communicate complex technical concepts clearly to product managers, designers, support, and engineers
- Advocate for the customer and shape product experiences
- Use English effectively, written and spoken
- Willingness to join an on-call rotation after onboarding
- Experience working in Scrumban or agile product-driven environments