Senior Staff Engineer

Summary

Join our dynamic and rapidly growing Digital Product Engineering company as we build innovative products and services. We are a global team of 19,000+ experts across 33 countries. This role requires strong programming skills in Python and Typescript/React, along with experience in backend web services, cloud services, and CI/CD. Experience with containerization, application monitoring, and service integrations is also essential. Ideal candidates will also possess experience with AI/ML cloud infrastructure, LLM guardrails, and LLM monitoring and security.

Requirements

• Possess strong programming proficiency in Python (OOP, Async/Await, etc.)
• Possess strong programming proficiency in Typescript/React and have front-end development experience
• Have previous experience building backend web services (FastAPI or similar)
• Have previous experience with cloud provider managed services (AWS, Azure) and IaC (Terraform)
• Have previous experience with containerization and container app deployments (Docker, Kubernetes, etc.)
• Have previous experience with CI/CD concepts and tooling (Github Actions, Gitlab CI, etc.)
• Have previous experience with application logging/monitoring (Sentry, ELK stack, Datadog, etc.)
• Possess strong knowledge of service integrations and protocols (REST, streams, web sockets, webhooks)
• Possess strong knowledge of distributed tasks using queues and consumers, pub/sub architecture
• Have experience with React (Strong), Python (Expert), Generative AI Fundamentals (Strong), AWS, and RAG

Responsibilities

• Develop and maintain backend web services using FastAPI or similar frameworks
• Utilize cloud provider managed services (AWS, Azure) and IaC (Terraform)
• Implement containerization and container app deployments using Docker, Kubernetes, etc
• Design and implement CI/CD pipelines using tools like Github Actions or Gitlab CI
• Implement application logging and monitoring using tools like Sentry, ELK stack, or Datadog
• Develop and maintain service integrations using REST, streams, web sockets, and webhooks
• Implement distributed tasks using queues, consumers, and pub/sub architecture
• Develop and maintain cloud infrastructure for AI/ML
• Implement LLM guardrails
• Implement LLM monitoring and observability
• Implement security measures related to LLMs

Preferred Qualifications

• Have experience with cloud infrastructure for AI/ML
• Have experience with LLM guardrails
• Have experience with LLM monitoring and observability
• Have experience with security related to LLM