Python Backend Engineer (Semi-Senior/Senior) - Real Estate Tech Platform

Dribble Works is looking for a Python Backend Engineer (Semi-Senior / Senior) to join a high-impact engineering team working on large-scale backend systems, data pipelines, and API infrastructure supporting a major U.S.-based real estate technology platform.

This role combines backend engineering, data processing, cloud infrastructure, and operational problem-solving within a complex AWS ecosystem. The team works on business-critical systems that process large volumes of data, integrate with multiple external providers, and power APIs consumed by high-traffic web applications and internal operational tools.



We are looking for engineers who enjoy solving real-world technical challenges, working on complex distributed systems, and operating comfortably across both modern and legacy environments.

What You’ll Work On

• Development and maintenance of ETL and large-scale data processing pipelines
• Integration with multiple external vendors and APIs
• Development, optimization, and maintenance of backend APIs and services
• Modernization and migration of legacy systems into modern Python-based architectures
• Development and support of Python microservices
• Troubleshooting and debugging of complex production issues
• Participation in weekly production deployment cycles
• Collaboration on infrastructure, automation, and cloud operations within AWS
• Internal tooling and monitoring systems to improve operational workflows

Tech Stack & Environment

• Python (3.10+ and legacy environments)
• AWS:
• Lambda
• ECS
• S3
• SQS

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• SNS
• CloudWatch
• REST APIs
• MySQL
• Snowflake
• Docker / Dockerfiles
• Linux & Shell Scripting
• Chalice (nice to have)
• Serverless architectures
• Distributed systems and integrations

What We’re Looking For

• Strong experience with Python backend development (Semi-Senior or Senior level)
• Experience building or maintaining ETL/data processing workflows
• Experience working with REST APIs and integrations
• Solid AWS knowledge and cloud infrastructure familiarity
• Experience with Docker and containerized environments
• Comfortable working with Linux environments and scripting
• Ability to debug and troubleshoot production systems effectively
• Strong technical judgment and ability to work autonomously
• Comfortable working on complex systems and legacy codebases

Nice to Have

• Experience with serverless architectures
• Experience working with distributed systems
• Familiarity with Snowflake
• Experience modernizing or migrating legacy systems
• Interest in AI-assisted development workflows and engineering automation tools
• Examples: GitHub Copilot, Cursor, Claude Code, OpenAI APIs, automated debugging and code review workflows

What We Value

• Ownership mindset and accountability
• Curiosity and continuous learning
• Pragmatism and problem-solving ability
• Adaptability in fast-moving environments
• Strong communication and collaboration skills

Additional Information

• Contractor role via Dribble Works
• Fully remote
• Candidates should have at least 4–6 working hours that overlap with PST 
• Long-term collaboration preferred
• The role includes occasional participation in scheduled production deployments outside standard working hours

Dribble Works is an AI-first software development and professional services company focused on building high-performance engineering teams for ambitious technology projects. We work with experienced engineers who combine strong technical fundamentals with modern AI-enabled development practices.