Staff Backend Engineer — Remote, Scale Global Auctions

ATG (Auction Technology Group); United States; Remote; USD 125,000 - 209,000; Full time

Job summary

Auction Technology Group (ATG) is seeking a Staff Backend Software Engineer to design and scale backend services powering our global marketplaces. You’ll work with Go, Python, FastAPI, Redis, and PostgreSQL/MySQL across Kubernetes-based deployments.

Collaborate with Product, Engineering, DevOps, and ML teams to deliver high-performance microservices for real-time bidding and transactions while mentoring junior engineers and improving system resilience.

Qualifications

• 5+ years of professional software engineering experience with a focus on backend development.
• Strong proficiency in Go and/or Python, with production experience building scalable services.
• Experience with relational databases (PostgreSQL, MySQL) including schema design and tuning.

Responsibilities

• Design, develop, and maintain scalable backend services and RESTful APIs using Go and Python/FastAPI.
• Build and optimize high-performance microservices that handle real-time bidding, transactions, and user interactions.
• Implement robust data models and schemas in PostgreSQL/MySQL/RDS, ensuring data integrity and performance.
• Develop caching strategies using Redis to improve application performance and reduce database load.
• Containerize applications using Docker and deploy to Kubernetes (EKS) environments; maintain CI/CD with GitHub Actions.
• Collaborate with cross-functional teams, review code, mentor juniors, and contribute to architecture decisions.

Skills

Go

Python

FastAPI

PostgreSQL

MySQL

Redis

Docker

Kubernetes

REST APIs

GitHub Actions

OAuth / JWT

Testing (pytest)

Tools

RabbitMQ

Kafka

AWS

GraphQL

gRPC

Elasticsearch

Terraform

Job description

Auction Technology Group (ATG) is seeking a Staff Backend Software Engineer to design and scale backend services powering our global marketplaces. You’ll work with Go, Python, FastAPI, Redis, and PostgreSQL/MySQL across Kubernetes-based deployments.

Collaborate with Product, Engineering, DevOps, and ML teams to deliver high-performance microservices for real-time bidding and transactions while mentoring junior engineers and improving system resilience.