Senior Staff Engineer - Python Full Stack

11 Hours ago • 4-8 Years • Full Stack Development • DevOps

About the job

Job Description

As a Senior Staff Engineer, you will leverage your expertise in Python (OOP, Async/Await), Typescript/React, and backend web services (FastAPI or similar) to build user-facing applications. Experience with cloud services (AWS, Azure), IaC (Terraform), containerization (Docker, Kubernetes), CI/CD, application monitoring (Sentry, ELK, Datadog), and service integrations (REST, streams, websockets) is crucial. You'll work with distributed tasks, pub/sub architecture, vectors/embeddings (pgvector, chromadb), and LLM RAG/Agent concepts. Experience with MLOps/LLMOps tools and data engineering is a plus. Building GenAI/LLM software applications is a significant advantage.
Must have:
  • Strong Python (OOP, Async/Await)
  • Strong Typescript/React
  • Backend web services (FastAPI)
  • AWS/Azure & IaC (Terraform)
  • Docker, Kubernetes
  • CI/CD expertise
  • Application monitoring
  • REST, streams, websockets
Good to have:
  • Vectors/embeddings
  • LLM RAG/Agent concepts
  • MLOps/LLMOps tools
  • Data engineering
  • GenAI/LLM app experience

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

  • Must Have strong programming proficiency in Python (OOP, Async/Await, etc.).
  • Strong programming proficiency in Typescript/React and FE development experience. previous experience Build backend web services (FastAPI or similar).
  • Experience with cloud provider managed services (AWS, Azure) and IaC (Terraform).
  • Experience with containerization and container app deployments (Docker, Kubernetes, etc.).
  • Experience with CI/CD concepts and tooling (Github Actions, Gitlab CI, etc.).
  • Experience with application logging/monitoring (Sentry, ELK stack, Datadog, etc.).
  • Strong knowledge with service integrations and protocols (REST, streams, web sockets, webhooks).
  • Strong knowledge with distributed tasks using queues and consumers, pub/sub architecture.
  • Previous experience with vectors and embeddings (pgvector, chromadb).
  • Knowledge of LLM RAG/Agent core concepts and fundamentals.
  • Previous experience with MLOps/LLMOps tools (Arize Phoenix, LangSmith, MLFlow, W&B, etc.).
  • Data engineering experience (data modeling, data pipelines, event streaming, etc.).

Qualifications

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

Previous experience building a user-facing GenAI/LLM software application is good to have. 

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