πWorldwide
Senior Staff Engineer - Python Full Stack Developer

Nagarro
πRemote - Mexico
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Summary
Join our Digital Product Engineering company as we scale and build inspiring products and services. We are a global team (19000+ experts across 33 countries) with a dynamic and non-hierarchical work culture. This role requires strong programming proficiency in Python and Typescript/React, along with backend web services experience. Experience with cloud services (AWS, Azure), IaC (Terraform), containerization, CI/CD, and application monitoring is essential. Familiarity with service integrations and distributed tasks is also needed. We offer a challenging and rewarding environment for talented individuals.
Requirements
- Demonstrate strong programming proficiency in Python (OOP, Async/Await, etc.)
- Demonstrate strong programming proficiency in Typescript/React and FE development experience
- Possess previous experience building backend web services (FastAPI or similar)
- Possess previous experience with cloud provider managed services (AWS, Azure) and IaC (Terraform)
- Possess previous experience with containerization and container app deployments (Docker, Kubernetes, etc.)
- Possess previous experience with CI/CD concepts and tooling (Github Actions, Gitlab CI, etc.)
- Possess previous experience with application logging/monitoring (Sentry, ELK stack, Datadog, etc.)
- Demonstrate strong knowledge with service integrations and protocols (REST, streams, web sockets, webhooks)
- Demonstrate strong knowledge with distributed tasks using queues and consumers, pub/sub architecture
- Have React (Strong), Python (Expert), Docker (Strong), and AWS skills
Preferred Qualifications
- Have previous experience building a user-facing GenAI/LLM software application
- Have previous experience with vectors and embeddings (pgvector, chromadb)
- Have knowledge of LLM RAG/Agent core concepts and fundamentals
- Have previous experience with MLOps/LLMOps tools (Arize Phoenix, LangSmith, MLFlow, W&B, etc.)
- Have data engineering experience (data modeling, data pipelines, event streaming, etc.)
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