Senior Staff Engineer - Python Developer

1 Week ago • 4-8 Years • Backend Development

Job Summary

Job Description

Join a team as a developer to build new APIs for various data sources using Python. Responsibilities include developing with FastAPI/Pydantic, Boto3, SQL Alchemy, and LangChain; writing unit tests; building and maintaining resilient, scalable, distributed microservices; designing and building RESTful APIs; working with Swagger, JSON, HTTP(s), GenAI, LLMs, and RAG; utilizing ChatGPT, GitHub Copilot, and vector search; supporting team AI development; and utilizing AWS services (S3, SQS, DynamoDB) and Kubernetes. Experience with Datadog for logs, dashboards, and metrics is also required.
Must have:
  • Microservices architecture (MSA)
  • FastAPI
  • Docker
  • AWS
  • Python Programming
  • Unit Testing
  • API Development
  • Boto3
  • SQLAlchemy
  • LangChain
Good to have:
  • Generative AI Fundamentals
  • Experience with different APIs (Python focus)
  • Microsoft and 3rd party data sources
  • Kubernetes
  • Datadog

Job Details

Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

Join an existing team as a developer and develop new APIs for various data sources using python.

Below you will find the proficiency levels required for your responsibilities. These are divided on a level of 1 to 5, with 1 being new to something and 5 being an expert.

Proficiency of 4 out of 5:

  • Python Programming. 
  • Apply your experience with FastAPI / Pydantic or similar web frameworks, Boto3, SQL Alchemy, and Lang Chain.
  • Write Python unit tests.
  • Build and Maintain Resilient Scalable Distributed Microservices.

Proficiency of 3 out of 5:

  • Apply your experience with Distributed Systems, Resilient Programming, Self-Correcting Code, etc..
  • Design and build RESTful APIs.
  • Apply your previous experience with Swagger, Json, HTTP (s), GenAI, LLMs, Rag. 
  • Write code with ChatGPT, Github Co-Pilot, Vector Search.
  • Support the rest of the development team to become AI first developers AWS Services.
  • Code S3, SQS, DynamoDB using boto3 Kubernetes.
  • Evidence basic Kubernetes Knowledge
  • Apply your Datadog experience.
  • Work with logs, dashboards, and metrics.

Qualifications

Must have Skills: Microservices architecture (MSA) (Strong), FastAPI (Expert), Docker (Strong), AWS.

Good To Have Skills:

  • Generative AI Fundamentals (Capable).
  • Experience with different APIs (ideally with python focus).
  • Microsoft, 3rd party data sources.

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