This is a fully remote position, open to applicants in Texas.

📋 Description

• Design, develop, and take ownership of intricate backend systems from start to finish, encompassing architecture, integrations, performance enhancement, and scalability.

• Create and manage large-scale data pipeline architectures and backend services leveraging AWS technologies.

• Construct and uphold backend APIs and distributed data workflows within a cloud-native framework.

• Develop services and data pipelines utilizing Node.js, Python, .NET, and SQL.

• Convert product and business requirements into technical system designs and oversee implementation across cross-functional teams.

• Execute AI-assisted development workflows, CI/CD pipelines, automated testing, and enhance system-level productivity.

• Design reusable AI-assisted workflows, tools, and shared prompt libraries, integrating these into CI/CD and code review processes.

• Supervise technical output, delivery flow, and overall system effectiveness.

• Lead technical design and development, engage in design and code reviews, and suggest architectural improvements.

• Collaborate with product managers, engineers, data scientists, and customer-facing teams to define scope, prioritize tasks, and deliver technical solutions.

• Provide mentorship to teammates in AI-assisted development practices and enhance team processes.

⛳️ Requirements

• Master’s degree or its foreign equivalent in Computer Science or a closely related discipline.

• A minimum of three (3) years of experience in a relevant field focused on designing, developing, testing, and deploying software and machine learning solutions in production settings.

• Proficiency in AWS technologies, including but not limited to Lambda, DynamoDB, Redshift, Athena, Glue, and S3.

• Experience working with Node.js, Python, .NET, and SQL platforms.

• Background in designing backend systems, APIs, distributed data workflows, and large-scale data pipelines.

• Understanding of AI-assisted development workflows, CI/CD pipelines, automated testing, and cloud-native architecture.