Remote Senior Python Backend Engineer (FastAPI)

OpenKrill; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Vacation and public holidays

Health insurance or health care

Professional development

Semi‑annual performance reviews

Remote‑first with team events

Job summary

SplitMetrics, a global software company, is seeking a Senior Backend Engineer (Python) to design and scale backend services using FastAPI. You will implement async job execution, integrate with LLM services, and manage data pipelines and MCP servers for third‑party AI agents.

Ideal candidates have 4+ years of Python backend experience, strong FastAPI, PostgreSQL and S3 skills, plus experience with Redis, Kafka, and Docker/Kubernetes in a microservices environment.

Qualifications

• 4+ years Python backend experience.
• Strong FastAPI experience.
• Solid PostgreSQL + S3 experience.
• Experience with async task queues (Celery, Redis, Kafka).
• Production experience with microservices and long‑running jobs.
• Hands-on with agentic AI and MCP servers.

Responsibilities

• Design and build backend services in Python (FastAPI).
• Implement async job execution and status tracking (Redis/Celery/Kafka).
• Integrate with LLM services (internal & external).
• Store, version, and serve creative assets efficiently.
• Build and maintain external MCP servers that expose our platform to third‑party AI agents and clients.
• Develop ETL pipelines and ensure data quality across ingestion, transformation, and storage.
• Ensure stability, observability, and cost‑efficient inference.

Skills

Python

FastAPI

Cross-functional teamwork

AWS

Observability

Tools

PostgreSQL

S3

Redis

Kafka

Celery

Docker

Kubernetes

LangChain

Job description

SplitMetrics, a global software company, is seeking a Senior Backend Engineer (Python) to design and scale backend services using FastAPI. You will implement async job execution, integrate with LLM services, and manage data pipelines and MCP servers for third‑party AI agents.

Ideal candidates have 4+ years of Python backend experience, strong FastAPI, PostgreSQL and S3 skills, plus experience with Redis, Kafka, and Docker/Kubernetes in a microservices environment.