We are creating value for global customers with AI. Now, we are looking for a seasoned
Python Backend Developer
to join our development team. You will be responsible for building scalable, resilient server-side logic and managing application lifecycles in a
Kubernetes-orchestrated
environment.
As an ideal candidate,
you don't just write code
; You understand the business needs (use cases), and how that code behaves in production, how to automate its journey through a
CI/CD pipeline
, and how to leverage
AI-assisted development
tools to boost velocity and code quality.
Core Responsibilities
* Architect & Develop:
Design and maintain high-performance, low-latency Python applications using frameworks like FastAPI or Django.
* Orchestration & Scaling:
Deploy and manage microservices within
Kubernetes (K8s)
, ensuring proper resource allocation, service discovery, and monitoring.
* Automation (CI/CD):
Own the "build-test-deploy" cycle by configuring and optimizing pipelines (GitLab, GitLab pipeline, GitLab CI, or Jenkins).
* System Design:
Integrate various data storage solutions (PostgreSQL, Redis, MongoDB) and message brokers (RabbitMQ, Kafka).
* AI Integration:
Utilize AI-driven tools (e.g., Claude, Cursor, or LLM APIs) to accelerate refactoring, documentation, and unit test generation.
Technical Requirements/Skills
Languages
Python AsyncIO, Type Hinting), Optional: Java, JavaScript, Rust
Frameworks
FastAPI, Pydantic, SQLAlchemy, Optional: Celery, Pytest, Strawberry (GraphQL)
Databases
PostgreSQL, Optional: SQL Server, MongoDB
Infrastructure
Kubernetes, Docker, Helm, ArgoCD, Optional: Terraform, Pulumi (IaC)
CI/CD
GitLab, GitLab CI, Optional: Canary/Blue-Green deployment logic
Observability
Prometheus, Grafana, ELK Stack, Optional: OpenTelemetry integration
Preferred Experience: The "AI-Enhanced" Developer
We value candidates who embrace the future of coding. You should have:
* Experience using
AI pair programmers
to reduce boilerplate and catch edge cases.
* An understanding of how to integrate
LLMs
into backend workflows (prompt engineering, RAG, or fine-tuning APIs).
* A "DevOps mindset"—you believe that "done" means the code is running smoothly in production, not just passing on your local machine.
* You know how to benefit from Claude, Perplexity, CoPilot, and others to create better code faster.
Why Join Us?
You'll work in a high-trust environment where we prioritize
clean code
,
automated testing
, and
continuous learning
. We don't just use Kubernetes because it's trendy; we use it to solve complex scaling problems, and we want you to help us steer that ship.
Our Philosophy:
We believe in "boring" infrastructure and "exciting" features. We automate the mundane so you can focus on solving the hard problems.