Senior Backend Engineer - Python & Databricks

Accountabilities: Design, develop, and evolve backend services and REST APIs using Python and FastAPI, following sound practices for architecture, security, and maintainability. Build and operate a communications dispatch service integrating messaging queues and external APIs, implementing idempotency, retries, rate limiting, and robust error handling. Integrate and orchestrate Azure services, relational databases, third-party APIs, and data processes running on platforms such as Databricks. Design and maintain Azure SQL persistence solutions, including data modeling, migrations, data integrity, and query optimization. Improve production reliability and observability through monitoring, tracing, automated testing, and failure recovery mechanisms. Collaborate with development, data, and IT/DevOps teams on technical decisions, integrations, CI/CD pipelines, and deployments across environments. Maintain clear and useful technical documentation. Requirements: At least 4 years of backend development experience, including building, integrating, and operating production services. Strong proficiency in Python and experience developing REST APIs with FastAPI or equivalent frameworks. Ability to design modular, maintainable software using principles such as SOLID, separation of concerns, and automated testing best practices. Experience integrating APIs and distributed systems, including authentication, timeouts, error handling, retries, and resiliency patterns. Experience with asynchronous processing and messaging systems, including queues, dead-letter handling, and idempotency; Azure Service Bus or equivalent technologies are relevant. Strong SQL and relational database skills, including data modeling, querying, migrations, and ORM usage. SQL Server or Azure SQL experience is preferred. Experience with Docker and deploying containerized services. Hands-on experience with cloud services, preferably Microsoft Azure, as well as monitoring, Git version control, and CI/CD processes. Strong ownership, problem-solving, collaboration, and communication skills. Nice to have: Experience with AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor, or with Spec-Driven Development practices, alongside the ability to validate generated code for quality, security, and maintainability. Experience integrating and orchestrating backend data processes, particularly with Azure Databricks or similar platforms. Familiarity with cloud-based container infrastructure, including Kubernetes/AKS or Azure Container Registry. Knowledge of marketing technology, customer engagement, or digital experimentation platforms, including push, email, in-app messaging, or A/B testing integrations. Benefits: Remote-first culture, with the flexibility to work from anywhere. Full coverage of certifications in AWS, dbt, Google Cloud, Azure, and Databricks. Birthday day off and an additional vacation week. Referral bonuses for successful candidate recommendations. Monthly credits through the Maslow benefits marketplace. Annual team trip. Salary and additional healthcare benefits are not specified in the job description.