Senior Staff Engineer - Python Full Stack

Nagarro; United States; Remote; USD 80,000 - 130,000; Full time

Job summary

An innovative digital product engineering company is looking for talented developers to join their dynamic team. This role offers the opportunity to work with cutting-edge technologies, including Python, React, and cloud services. You will be responsible for developing robust applications and services that inspire and delight users. With a focus on containerization and CI/CD practices, you will play a key role in delivering scalable solutions. Join a rapidly growing global team of experts and contribute to exciting projects that push the boundaries of digital experiences.

Qualifications

• Strong programming proficiency in Python, including OOP and Async/Await.
• Experience in developing frontend applications using Typescript/React.
• Data engineering skills including data modeling and pipelines.

Responsibilities

• Developing frontend applications and backend web services.
• Implementing containerization and managing CI/CD pipelines.
• Integrating services using protocols such as REST and websockets.

Skills

Python

React

Docker

AWS

Typescript

FastAPI

Terraform

Kubernetes

CI/CD

Data Engineering

Tools

Github Actions

Gitlab CI

Sentry

ELK stack

Datadog

Arize Phoenix

LangSmith

MLFlow

Weights & Biases

Job description

Company Description

We are a Digital Product Engineering company that is scaling rapidly! We build products, services, and experiences that inspire, excite, and delight. Our work spans all devices and digital mediums, with a global team of over 19,000 experts across 33 countries. Our culture is dynamic and non-hierarchical. We are seeking talented new colleagues — that could be you!

Job Responsibilities include:

1. Demonstrating strong programming proficiency in Python, including OOP and Async/Await.
2. Developing frontend applications using Typescript/React and building backend web services with frameworks like FastAPI.
3. Utilizing cloud provider managed services (AWS, Azure) and Infrastructure as Code tools such as Terraform.
4. Implementing containerization and deploying containerized applications using Docker and Kubernetes.
5. Managing CI/CD pipelines with tools like Github Actions or Gitlab CI.
6. Setting up and maintaining application logging and monitoring with tools like Sentry, ELK stack, or Datadog.
7. Integrating services using protocols such as REST, streams, websockets, and webhooks.
8. Handling distributed tasks with queues, consumers, and pub/sub architectures.
9. Experience with vectors and embeddings (pgvector, chromadb) is a plus.
10. Understanding of LLM RAG/Agent core concepts and fundamentals.
11. Experience with MLOps/LLMOps tools like Arize Phoenix, LangSmith, MLFlow, and Weights & Biases.
12. Data engineering skills including data modeling, pipelines, and event streaming.

Qualifications:

Must have skills: React (Strong), Python (Expert), Docker (Strong), AWS.

Experience in building user-facing GenAI/LLM applications is advantageous.