Senior Software Backend Engineer
Company: SmartCommerce
Location: Location not specified (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-07-17
About this role
SmartCommerce is looking for a Senior Software Backend Engineer to design, build, and maintain scalable backend systems spanning database architecture, middle-tier services, and data processing/ETL pipelines that power our commerce platform and client integrations. This role combines deep backend engineering with hands-on data engineering and stream processing responsibility, and serves as a senior technical contributor and production support owner for the systems they build.
Job Title: Senior Software Backend Engineer
Department: Engineering
Reports to: Director of Engineering
Experience Required: Demonstrated experience in designing, developing and maintaining backend services and APIs. Must have AI proficiency and experience with AWS.
Salary Range: $160-$180K
Supervisory/Training Responsibilities: This role does not supervise/manage others. This is an Individual Contributor role.
Schedule: 8:00AM – 5:00PM ET.
Job Location: Remote in United States.
Responsibilities:
• Design, develop, and maintain backend services and APIs using PHP, Node.js, and React.js across the middle tier
• Design and optimize database schemas and queries in MySQL, and implement caching strategies using Redis
• Build and maintain ETL and data pipelines using Airflow, working with Parquet-formatted data feeding into Redshift and Databricks
• Design and implement stream processing solutions using Kafka
• Architect and operate scalable, high-availability systems deployed on AWS
• Provide production support and participate in an on-call rotation as needed
• Collaborate with cross-functional partners in Product, Data, and QA to translate requirements into technical solutions
• Write clean, tested, well-documented code and actively participate in code reviews
• Leverage AI coding tools (Claude, Cursor, Codex, Gemini, etc.) to accelerate development and improve code quality
• Mentor other engineers on backend and data engineering best practices
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