(HQ) (Sr.) Backend Engineer

The Senior Backend Engineer designs and builds our APIs with Python. Beyond shipping features, this role contributes to architectural decisions, maintains a high quality bar through reviews and standards, and drives AI-augmented development practices to scale team productivity.

About Our Team:

• API-First Backend: We build our high-performance backend APIs using Python and the Flask framework.
• Modern Git Workflow: We use GitHub Enterprise for version control, adhering to a robust development flow that includes Feature Branches, Pull Requests, and Semantic Tagging.
• Agile & Documentation: We rely on Jira for agile issue tracking and Confluence for comprehensive technical documentation.
• Automated CI/CD: Our CI/CD pipelines are powered by Jenkins (CI) and Ansible (CD) to ensure seamless and automated deployments.
• Cloud-Native Infrastructure: Our system architecture is fully hosted on AWS, leveraging various cloud-native services to build scalable platforms.
• AI-Driven Development: AI-augmented development is deeply integrated into our daily routine; leveraging tools like Claude Code is second nature to us.
• Knowledge-Sharing Culture: We actively foster an environment for sharing technical knowledge, best practices, and domain expertise.
• Psychological Safety: We maintain an open-minded team culture where curiosity is rewarded, and no one should ever hesitate to ask questions.

Role & Responsibilities:
In this position, we are looking for a team member who enjoys learning various languages and is open to taking on any development tasks. Your role will be responsible to:
(50%) Design & Develop

• Design system flow and mechanism to achieve module requirement and maintenance.
• Optimize system flow and re-factor core module

(20%) Code Quality & Engineering Discipline

• Conduct deep code reviews focused on architecture, performance, and maintainability.
• Enforcing backend coding standards and maintaining clean architectural boundaries (separation of concerns).
• Investigating, debugging, and resolving backend-related production incidents efficiently.

(20%) AI-Augmented Development

• Use AI coding tools (Claude Code) productively and judge output quality.
• Design team workflows around AI: prompt templates, custom skills, workflow.

(10%) Knowledge Sharing & Collaboration

• Share knowledge through reviews, tech talks, or written docs.
• Collaborating cross-functionally with Frontend, DevOps, Data, and Product Management (PM) teams.