Senior Backend Python Developer
1 мес. назад
ArgentinaLATAMSeniorRemote
python
Senior Backend Python Developer role focused on building scalable and reliable microservices for an AI platform in the banking sector.
О компании
- 🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀 At , we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning. We're looking for a proactive, technically strong Senior Backend Python Developer to join our team 🐶🚀. You'll work on a strategic project for one of our banking clients, designing and maintaining the microservices that power our AI platform — including model gateway, agent orchestration, and retrieval APIs — with a strong focus on clean architecture, scalability, and reliability. This role requires strong ownership, solid architectural judgment, and the ability to build system
Обязанности
- Design and maintain the platform's core microservices: model gateway, agent orchestration, and retrieval APIs.
- Apply clean/hexagonal architecture principles to ensure maintainable, testable, and scalable systems.
- Implement resilience and scalability patterns: caching, rate limiting, retries, and event-driven/message queue architectures.
- Own the full lifecycle of services: design, implementation, testing, deployment, and monitoring.
- Collaborate with architects, DevOps, and other engineering teams to define technical solutions aligned with business needs.
- Ensure code quality through testing, code reviews, and adherence to engineering best practices.
- Contribute to technical decision-making regarding infrastructure, tooling, and system design.
- Participate in incident response and troubleshooting for production systems.
Будет плюсом
- Experience integrating LLMs (streaming, LiteLLM, LangGraph, RAG).
- Familiarity with Langfuse.
- Experience with Kafka or SQS.
- Knowledge of API security standards (OAuth2/JWT).
- Experience with Terraform.
- Previous experience working in the banking/financial industry.
Условия
- 🌍 Remote-first cultur e – work from anywhere!
- 🚀 In-Company English Lessons.
- 💪 Wellhub or sports club stipend to stay active
- 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- 🍕 Food credits via Pedidos Ya – because great work deserves great food.
- 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)
- 🤝 Referral bonuses – help us grow the team & get rewarded!
- ✈️ 🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
- 👶 Monthly Childcare Reimbursement – Because supporting families matters too
Другое
- Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
- Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
- Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
- Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
- Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
- Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.
- Amazon Web Services
- Astronomer
- Databricks
- 📊 We are Data Nerds
- 🤗 We are Open Team Players
- 🚀 We Take Ownership
- 🌟 We Have a Positive Mindset
- 5+ years of backend experience in Python, with microservices running in production.
- Strong experience with FastAPI (or an equivalent async framework).
- Hands-on experience applying hexagonal / clean architecture in real production systems.
- Experience with scalability and resilience patterns: caching, rate limiting, retries, message queues / event-driven architecture.
- Experience with relational databases (PostgreSQL) and NoSQL databases (e.g., DynamoDB).
- Experience with Docker, Kubernetes, CI/CD, and observability tools — ideally on AWS.