Incode Technologies is a leader in the identity trust revolution, backed by investors including General Atlantic, SoftBank, J.P. Morgan, and CapitalOne. At Incode, we're redefining the landscape of…
Incode Technologies is a leader in the identity trust revolution, backed by investors including General Atlantic, SoftBank, J.P. Morgan, and CapitalOne. At Incode, we're redefining the landscape of…
Systems Thinker - You understand how tools, pipelines, and people interact—and you design solutions that scale both technically and operationally
Pragmatic Builder - You focus on leverage: tools that remove friction, reduce toil, and make teams dramatically more effective
Automation-First Mindset - You instinctively look for opportunities to replace manual processes with robust, repeatable systems
Cross-Functional Partner - You’re comfortable collaborating with engineers, QA, analysts, and non-ML stakeholders to solve real problems
AI-Native Developer - You actively use AI-assisted development tools for coding, debugging, and documentation—and you stay current with emerging best practices
Ownership-Oriented - You take responsibility for the long-term health of the systems you build, not just shipping code
Strong experience with Python, writing clean, well-structured, production-grade code
Proven experience building or maintaining batch-oriented systems, runners, or data-processing pipelines
Solid grasp of software design principles, system architecture, and maintainability
Experience improving internal workflows through automation and developer tooling
Comfort working in cross-functional environments with engineering, QA, and operational teams
Familiarity with containerized environments and/or Kubernetes
Experience building or extending simple internal UIs or dashboards when needed
Experience with ML-adjacent systems (ML pipelines, document intelligence, data processing)
ETL or workflow orchestration experience (e.g., Airflow, cron/event-driven systems)
CI/CD, DevOps, AWS, or Kubernetes expertise
Experience with templating frameworks (e.g., Jinja), GitOps, or linting patterns
Data modeling experience (databases, schemas, indexes)
Distributed systems experience and understanding of concurrency
Willingness to learn UI development with AI-assisted tooling
What the job involves
As a Senior Python Developer on Incode’s Document Intelligence team, you’ll be a force multiplier for our R&D organization. You’ll design and scale the internal tooling that powers some of the most accurate identity document processing systems in the world—used to parse passports, visas, driver’s licenses, proof of address, and more
Your work will directly accelerate innovation by reducing friction for engineers, QA, and operations teams. By building reliable, observable, and scalable internal systems, you’ll help ensure our ML pipelines are fast to iterate, easy to validate, and production-ready at global scale
Build, maintain, and evolve internal tools that support testing, validation, and quality assurance for ML-adjacent pipelines
Automate manual workflows to improve reliability, speed, and operational efficiency
Develop internal frameworks and utilities for debugging, configuration, and monitoring complex document-processing systems
Improve visibility into pipeline health, performance, and data quality
Support document intelligence pipelines that combine machine learning models with document-level processing logic
Partner with ML engineers to ensure tooling supports rapid experimentation and safe deployment
Work closely with Engineering, QA, Analytics, and Business Ops to align tooling with real operational needs
Translate ambiguous requirements into pragmatic, scalable solutions
Uphold high standards for clean architecture, documentation, and long-term maintainability
Apply strong software design principles to internal systems that are critical to the business
Benefits
Meaningful Equity
Flexible Working Hours & Workplace
Open Vacation Policy
Wellness Program
International Travel Opportunities
Additional benefit package according to location (401k, medical insurance, etc.)
