Senior Backend Platform Engineer: Data Pipelines & LLMs

Connecteam; United States; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Connecteam is seeking an experienced Backend Engineer to build high-scale data platforms and products for business teams. You will work on internal tools, APIs, data pipelines, and LLM-backed flows in a real-time, high-volume setting.

The role emphasizes ownership across multiple systems and tight collaboration with cross-functional teams. The ideal candidate has 8+ years in backend engineering, deep Python expertise, and strong SQL skills, plus experience with multi-cloud environments and

Qualifications

• 8+ years as a Backend Engineer.
• Strong Python expertise with extensive API development.
• Proven production services at scale with data volumes and reliability.
• SQL proficiency and data pipeline experience.

Responsibilities

• Develop internal tools and products for teams across Connecteam.
• Build and maintain services and APIs that support complex, multi-step workflows.
• Operate in a real-time, event-driven environment at high volume.
• Create and manage data pipelines with data quality checks.
• Design and ship LLM and agent features, balancing cost, latency and quality.
• Use coding agents during delivery to raise code quality.
• Take ownership of multiple systems and products.
• Work in a multi-cloud environment (Azure/GCP/AWS).
• Integrate third-party tools with our platform.
• Translate ambiguous business requirements into technical plans and drive them to production.

Skills

Python

REST APIs

SQL

Event-Driven

LLMs & agents

Cloud: multi-cloud

Kubernetes

FastAPI

Data pipelines

Tools

Python

FastAPI

Tornado

SQLAlchemy

Pydantic

MySQL

MongoDB

Redis

BigQuery

RabbitMQ

Kafka

Google Pub/Sub

Airflow

Airbyte

Kubernetes

Prometheus

Grafana

React

TypeScript

Job description

Connecteam is seeking an experienced Backend Engineer to build high-scale data platforms and products for business teams. You will work on internal tools, APIs, data pipelines, and LLM-backed flows in a real-time, high-volume setting.

The role emphasizes ownership across multiple systems and tight collaboration with cross-functional teams. The ideal candidate has 8+ years in backend engineering, deep Python expertise, and strong SQL skills, plus experience with multi-cloud environments and