Senior Staff Engineer - Python Full Stack

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

Job Summary

Job Description

Senior Staff Engineer specializing in Python Full Stack development. Responsibilities include building backend web services (FastAPI or similar), utilizing cloud services (AWS, Azure) and IaC (Terraform), containerization (Docker, Kubernetes), CI/CD (Github Actions, Gitlab CI), application monitoring (Sentry, ELK stack, Datadog), service integrations (REST, streams, web sockets, webhooks), distributed tasks, and experience with cloud infrastructure for AI/ML, LLM guardrails, monitoring, and security. Strong proficiency in Python (OOP, Async/Await), Typescript/React, and generative AI fundamentals are required.
Must have:
  • Expert Python (OOP, Async/Await)
  • Strong React & Typescript
  • Backend Web Services (FastAPI)
  • AWS/Azure & Terraform
  • Docker, Kubernetes
  • CI/CD (Github Actions etc.)
  • Application Monitoring
  • REST, Streams, WebSockets
  • Generative AI Fundamentals
  • LLM Guardrails & Security

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

  • Strong programming proficiency in Python (OOP, Async/Await, etc.).
  • Strong programming proficiency in Typescript/React and FE development experience.
  • Previous experience building backend web services (FastAPI or similar).
  • Previous experience with cloud provider managed services (AWS, Azure) and IaC (Terraform).
  • Previous experience with containerization and container app deployments (Docker, Kubernetes, etc.).
  • Previous experience with CI/CD concepts and tooling (Github Actions, Gitlab CI, etc.).
  • Previous 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.
  • Experience with cloud infrastructure for AI/ML.
  • Experience with LLM guardrails.
  • Exeperience with LLM monitoring and observability - Experience with security related to LLM integration.

Qualifications

Must have Skills: React (Strong), Python (Expert), Generative AI Fundamentals (Strong), AWS, RAG.

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