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À propos
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 .
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Compétences linguistiques
- English
Avis aux utilisateurs
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