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Code Metal

Posted 4 months ago

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Senior Backend Engineer

United StatesRemoteFull-time

AI Summary

Senior Backend Engineer designs and builds robust Python-based backends, focusing on APIs, asynchronous workflows, and scalable architectures. Leads implementation from concept to production with ownership and strong coding discipline.

About this role

Senior Backend Engineer

About the Role

We are looking for a Senior Backend Engineer who is passionate about building robust, scalable backend systems in ** Python **. This role is for someone who thrives in an environment where most of the day is spent ** writing code **, designing clean architectures, and solving hard problems independently.

You’ll develop backend services that handle complex **asynchronous workflows, state machines, and event-driven lifecycles **, powering distributed, data-intensive applications. The systems you build will integrate ** geospatial and temporal data **, enforce ** fine-grained permissions **, and operate across multiple services with high reliability.

You’ll work in a **modern Python environment **, FastAPI, SQLAlchemy, Redis, and Docker, collaborating with a small, high-performing engineering team that values autonomy, clean code, and pragmatic solutions.

This is a **90% hands-on coding position **, ideal for someone who loves to architect, implement, and own their code from design to deployment.

Responsibilities

  • Design and build FastAPI-based services and APIs with a focus on performance, clarity, and maintainability.
  • Implement state machines and ** event-driven workflows** that coordinate asynchronous operations across multiple services.

Work with PostgreSQL to design and query complex relational, geospatial, and temporal data models.

Build pub/sub and task processing patterns using ** Redis** and modern async frameworks.

  • Integrate and extend **authentication and authorization systems **, enabling role-based and attribute-based access to data and endpoints.
  • Deploy and maintain containerized applications using **Docker **, ensuring reliability, observability, and security.
  • Write unit, integration, and performance tests that validate reliability and correctness.
  • Participate in **code reviews and architecture discussions **, contributing to design patterns, tooling, and continuous improvement.
  • Collaborate cross-functionally with other engineers and analysts to define APIs, data contracts, and workflow orchestration patterns.

Requirements

  • 8+ years of professional backend software engineering experience, with a ** strong focus on Python **.
  • Proven ability to design and deliver production-grade APIs and services using frameworks such as ** FastAPI** or Flask.
  • Solid experience with **PostgreSQL **, including schema design, query optimization, and migrations.
  • Practical knowledge of **geospatial and time-series querying **, data modeling, and efficient indexing.
  • Experience building asynchronous systems using Redis (pub/sub, streams, or queues) or similar technologies.
  • Strong foundation in Docker-based development and deployment workflows.
  • Deep understanding of **software engineering best practices **, version control, testing, CI/CD, documentation, and type safety.
  • Demonstrated ability to take full ownership of a complex backend service from concept to production, with minimal oversight.

Nice to Have

  • Experience with event-driven architectures (Celery, FastStream, Kafka, or similar).
  • Familiarity with authentication and authorization standards (OIDC, OAuth2, RBAC).
  • Experience working with geospatial frameworks such as Shapely, GeoAlchemy2, or H3.
  • Understanding of observability and monitoring (e.g., Sentry, structured logging, tracing).
  • Experience deploying to cloud environments (AWS, Azure, GCP).
  • Prior work with async I/O in Python (asyncio, aiohttp, or similar).
  • Knowledge of workflow orchestration and ** message-based inter-service communication **.

Skills

API DesignAsyncIOCeleryCI/CDDockerEvent-driven ArchitecturesFastAPIFlaskGeoAlchemy2Geospatial QueryingH3KafkaMicroservicesOAuth2ObservabilityOIDCPostgreSQLPub/SubPythonRBACRedisSentryShapelySQLSQLAlchemyTesting (unit/integration)Time-series Data ModelingType Safety

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