Software Engineer, Data Platforms-Remote

Summary

Xperteez Technology is seeking a Software Engineer, Data Platforms to build and maintain AI-native human data platforms. The role involves owning full-stack features across backend services, data pipelines, React frontends, platform infrastructure, and production systems while collaborating with research engineering, operations, and product teams.

Responsibilities

• Design and ship fullstack features across backend APIs, data pipelines, and React frontends
• Own client-facing data delivery and platform infrastructure, including exports, access control, and reliability
• Scope work around outcomes, direct coding agents—often in parallel—review changes at the architecture level, and iterate until shipped
• Build and maintain services in Python (FastAPI) and TypeScript
• Contribute to data modeling, schema design, and query performance across relational and document databases
• Partner with research engineering, operations, and product to translate platform needs into production-ready systems
• Improve the frameworks, checks, and evals that make agent-driven development faster without sacrificing quality
• Troubleshoot production issues and build resilient, observable systems

Skills

• Python
• Typescript
• Coding Agents
• React
• Outcome-driven Approach
• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field, or equivalent practical experience
• 0–5 years of software engineering experience, or strong shipped projects as a recent graduate
• Strong fundamentals in Python and TypeScript, with experience building CRUD applications using frameworks such as FastAPI/Flask and React
• Working knowledge of databases such as PostgreSQL, MongoDB, or SQLite and core data modeling principles
• Experience deploying services on a major cloud platform (GCP, AWS, or Azure)
• Coding agents such as Claude Code, Cursor, or Codex are your default development workflow, and you can clearly explain how you use them
• Ability to turn outcomes into plans, direct agents, verify results, and identify architectural issues agents may miss
• Understanding of agent loops, MCP, tool/data integrations, permissions, and security
• Familiarity with context management, RAG, and evals for testing agent workflows
• Exposure to RL concepts or environments, including tasks, actions, and rewards
• Experience with coding data pipelines or task-authoring platforms
• Familiarity with CI/CD, deployment pipelines, and DevOps fundamentals
• Experience contributing to team projects, open-source software, or startups

Qualifications

Must Haves

• Python
• Typescript
• Coding Agents
• React
• Outcome-driven Approach
• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field, or equivalent practical experience
• 0–5 years of software engineering experience, or strong shipped projects as a recent graduate
• Strong fundamentals in Python and TypeScript, with experience building CRUD applications using frameworks such as FastAPI/Flask and React
• Working knowledge of databases such as PostgreSQL, MongoDB, or SQLite and core data modeling principles
• Experience deploying services on a major cloud platform (GCP, AWS, or Azure)
• Coding agents such as Claude Code, Cursor, or Codex are your default development workflow, and you can clearly explain how you use them
• Ability to turn outcomes into plans, direct agents, verify results, and identify architectural issues agents may miss
• Understanding of agent loops, MCP, tool/data integrations, permissions, and security
• Familiarity with context management, RAG, and evals for testing agent workflows

Nice to Haves

• Exposure to RL concepts or environments, including tasks, actions, and rewards
• Experience with coding data pipelines or task-authoring platforms
• Familiarity with CI/CD, deployment pipelines, and DevOps fundamentals
• Experience contributing to team projects, open-source software, or startups

Benefits

• Equity compensation
• Performance-based bonuses, dependent on role and subject to company policies
• Up to 100% reimbursement for health-insurance premiums
• Paid time off
• A 401(K) plan with a company match
• Remote-first workforce