Software Engineer, Data Platform at Tools for Humanity - ScoutJobs - The AI-curated global job board
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Posted 7 hours ago

Software Engineer, Data Platform

Tools for HumanitySoftware Engineer, Data Platform

Requirements

5+ years Python proficiency, System design fundamentals, API development, Docker and Kubernetes, AWS and Terraform, Data ingestion and transformation workflows, CI/CD and version control, Data modeling and schema design, NoSQL (MongoDB), Event-driven pipelines

Skills

PythonAWSDockerKubernetesSnowflakeMongoDB

About the role

About the Company

Tools for Humanity (TFH) designs and builds technology behind World. World is building a real human network designed to accelerate people in the age of AI. The TFH and World tech stacks make this possible through the Orb, World ID, and World App, adding a human layer to an AI-driven internet.

Responsibilities

  • 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 for analytics and model training
  • Instrument systems with metrics, alerts, and recovery mechanisms and build internal tooling/dashboards
  • 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

Requirements

  • 5+ years of proficiency in Python with experience building production services
  • Strong system design fundamentals and experience evolving existing systems
  • Experience designing and building APIs with security and performance requirements
  • Proficiency with Docker and Kubernetes
  • Experience with AWS services (S3, KMS, IAM) and Terraform
  • Skilled in designing data ingestion and transformation workflows (Snowflake or similar)
  • Familiarity with CI/CD pipelines and version control (GitHub Actions)
  • Strong fundamentals in data modeling, schema design, and backward-compatible evolution
  • Experience with NoSQL systems like MongoDB
  • Knowledge of event-driven data pipelines using SQS, SNS, Lambda, or Step Functions

Preferred Qualifications

  • Proficiency in Go
  • Familiarity with annotation or labeling workflows and tooling
  • Exposure to monitoring and alerting stacks such as Datadog or Prometheus
  • Proficiency in Rust or an interest in learning it
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Software Engineer, Data Platform

Tools for Humanity · Munich

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