Software Engineer, Data Platform

Join World as a Software Engineer, Data Platform in Munich.

Work on AI pipelines, backend development, and data engineering.

World is building a real human network designed to accelerate people in the age of AI.

As bots and autonomous agents reshape the internet, people, institutions, and applications need a trusted way to confirm who is a real human while preserving privacy.

Our products make this possible: the Orb verifies real people, World ID proves it privately, and World App enables and distributes the new applications made possible by this technology.

Together, they form a new layer for AI internet.

We’re one of the fastest-growing networks in tech.

More than 17 million people across 160 countries have verified with World ID, and we complete over 350,000 verifications each week.

World App is already among the most used wallets globally.

Developers are integrating World ID to build safer online experiences and create spaces where real people can participate, earn, and be recognized in ways AI simply can’t replicate.

World was founded in 2019 and launched globally in 2023.

We are more than 400 people across hardware, software, AI, cryptography, mobile engineering, and global operations.

Our teams come from OpenAI, Tesla, SpaceX, Apple, Google, Stripe, Meta, Coinbase, Palantir and MIT Media Lab.

We’re backed by leading investors, including a16z, Khosla Ventures, Bain Capital Crypto, Blockchain Capital, Variant, Tiger Global, and Coinbase Ventures, as well as prominent operators and founders across fintech and AI.

## What you'll do

• •Design and operate automated data quality pipelines with human-in-the-loop review stages.
• •Develop and refine transformation processes to deliver clean, well-structured datasets.
• •Instrument systems with metrics, alerts, and recovery mechanisms.
• •Build APIs and backend services that provide secure, performant access to large datasets.
• •Raise engineering standards by improving CI/CD pipelines, integration tests, and dependency management.
• •Own the lifecycle of critical data assets, including lineage tracking, access control, and schema enforcement.

• •5+ years of proficiency in Python, with experience building production services.
• •Strong system design fundamentals.
• •Experience designing and building APIs with security and performance requirements.
• •Comfortable with containerization and orchestration tools like Docker and Kubernetes.
• •Experienced with AWS services (S3, KMS, IAM) and Terraform for infrastructure as code.
• •Skilled in designing and operating data ingestion and transformation workflows.
• •Familiar with CI/CD pipelines and version control practices.
• •Committed to building systems that are secure, observable, and follow strong data governance principles.
• •Experience with structured logging, metrics instrumentation, and alerting.
• •Strong fundamentals in data modeling, schema design, and backward-compatible schema evolution.
• •Comfortable working with NoSQL systems like MongoDB.
• •Knowledge of data partitioning strategies and large-scale dataset optimization for analytics and ML.
• •Experience with event-driven data pipelines using SQS, SNS, Lambda, or Step Functions.