Staff Backend Software Engineer

Auction Technology Group (ATG) operates online auction technology platforms connecting auction houses and buyers globally. The Staff Backend Software Engineer will design, develop, and maintain scalable backend services, APIs, and microservices that support real-time bidding, transactions, and user interactions. The role also involves cloud deployment, observability, performance optimization, cross-functional collaboration, and mentoring engineers.

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 optimal performance
• Develop caching strategies using Redis to improve application performance and reduce database load
• Write clean, maintainable, and well-tested code with comprehensive unit, integration, and end-to-end tests
• Containerize applications using Docker and deploy to Kubernetes (EKS) environments
• Build and maintain CI/CD pipelines using GitHub Actions for automated testing and deployment
• Implement observability and monitoring solutions using Grafana, Loki, and Prometheus
• Collaborate with cross-functional teams to define requirements, architect solutions, and deliver features
• Participate in code reviews, provide constructive feedback, and maintain high code quality standards
• Debug production issues, optimize system performance, and ensure high availability
• Contribute to technical documentation and architectural decision-making
• Mentor junior engineers and share knowledge with the broader engineering team

Requirements:

• 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
• Expert knowledge of FastAPI or similar web frameworks (Echo, Gin, Flask, Django)
• Extensive experience with relational databases (PostgreSQL , MySQL , RDS) including schema design, optimization, and query tuning
• Solid understanding of Redis and caching strategies for high-performance applications
• Hands-on experience with Docker containerization and Kubernetes orchestration (preferably EKS)
• Proficiency with Git and GitHub Actions for version control and CI/CD automation
• Experience implementing observability with tools like Grafana, Loki, and Prometheus
• Strong understanding of RESTful API design principles and best practices
• Experience with microservices architecture and distributed systems
• Knowledge of message queuing systems (RabbitMQ, Kafka, AWS SQS/SNS) or event-driven architectures
• Familiarity with AWS cloud services (Lambda, API Gateway, S3, CloudWatch, etc.)
• Understanding of authentication/authorization patterns (OAuth, JWT, API keys)
• Experience with testing frameworks and writing comprehensive test suites (pytest, Go testing)
• Strong problem-solving skills with the ability to debug complex distributed systems
• Excellent communication skills with the ability to explain technical concepts to diverse audiences
• Comfortable working cross-functionally with Product, Engineering, DevOps, and Data teams
• Strong track record of successful prioritization and meeting critical deadlines
• Proactive approach to identifying and addressing technical debt and system improvements
• Collaborative team player who thrives in a fast-paced, agile environment
• Ability to balance competing priorities and manage multiple projects simultaneously
• Experience with GraphQL API design and implementation
• Knowledge of gRPC and protocol buffers
• Familiarity with Terraform or other infrastructure-as-code tools
• Experience in eCommerce, marketplace, or auction platforms
• Background in high-traffic, real-time bidding, or payment processing systems
• Understanding of GDPR, data privacy, and compliance requirements
• Experience with performance testing and optimization tools
• Contributions to open-source projects
• Experience with on-call rotation and incident management
• Familiarity with ElasticSearch or other search technologies
• Knowledge of machine learning model serving and integration