Cobrainer GmbH
Senior AI/ML Platform Engineer(m/w/x)
Vollzeitnur vor OrtSenior
München
New Job?Nejo!
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TOTools for Humanity
Software Engineer, Data Platform(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Evolving data platform for AI-powered human network verification. Python proficiency and production service design experience required. Building secure APIs and reusable system components.
Requirements
- 5+ years proficiency in Python
- Experience building production services
- Strong system design fundamentals
- Experience evolving systems to reusable designs
- Experience designing and building APIs
- API security and performance requirements
- Comfort with Docker and Kubernetes
- Experienced with AWS services (S3, KMS, IAM)
- Experienced with Terraform for IaC
- Skilled in data ingestion and transformation workflows
- Exposure to Snowflake or SQL analytics platforms
- Familiar with CI/CD pipelines
- Familiar with version control practices
- Ideally using GitHub Actions or similar
- Committed to secure systems
- Committed to observable systems
- Committed to strong data governance principles
- Obsessed with reliability
- Obsessed with observability
- Obsessed with data governance
- Care about logs, metrics, and traceability
- Experience with structured logging
- Experience with metrics instrumentation
- Experience with alerting
- Strong data modeling fundamentals
- Strong schema design fundamentals
- Strong backward-compatible schema evolution fundamentals
- Comfort working with NoSQL systems like MongoDB
- Experience building ingestion frameworks with NoSQL
- Experience managing schema evolution with NoSQL
- Experience integrating Change Streams into ETL
- Knowledge of data partitioning strategies
- Knowledge of large-scale dataset optimization
- Experience with event-driven data pipelines
- Proficiency in Go
- Familiarity with annotation or labeling workflows
- Familiarity with annotation or labeling tooling
- Exposure to Datadog or Prometheus
- Proficiency in Rust
- Interest in learning Rust
Tasks
- Maintain and evolve the data platform
- Design resilient data pipelines
- Build secure APIs and services
- Rearchitect existing systems into reusable components
- Ensure seamless data flow and reliable service operation
- Adhere to strict security and data governance standards
- Design automated data quality pipelines
- Conduct human-in-the-loop data reviews
- Develop and refine data transformation processes
- Instrument systems with metrics and alerts
- Build internal tooling and dashboards
- Provide secure access to large datasets
- Improve CI/CD pipelines and integration tests
- Manage data asset lifecycle
- Track data lineage and enforce schema
- Work with structured and semi-structured data
- Handle data versioning and schema evolution
- Ensure GDPR compliance
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Docker
- Kubernetes
- AWS
- Terraform
- Snowflake
- GitHub Actions
- MongoDB
- SQS
- SNS
- Lambda
- Step Functions
- Go
- Datadog
- Prometheus
- Rust
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Tools for Humanity and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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Noch nicht perfekt?
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TOTools for Humanity
Software Engineer, Data Platform(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Evolving data platform for AI-powered human network verification. Python proficiency and production service design experience required. Building secure APIs and reusable system components.
Requirements
- 5+ years proficiency in Python
- Experience building production services
- Strong system design fundamentals
- Experience evolving systems to reusable designs
- Experience designing and building APIs
- API security and performance requirements
- Comfort with Docker and Kubernetes
- Experienced with AWS services (S3, KMS, IAM)
- Experienced with Terraform for IaC
- Skilled in data ingestion and transformation workflows
- Exposure to Snowflake or SQL analytics platforms
- Familiar with CI/CD pipelines
- Familiar with version control practices
- Ideally using GitHub Actions or similar
- Committed to secure systems
- Committed to observable systems
- Committed to strong data governance principles
- Obsessed with reliability
- Obsessed with observability
- Obsessed with data governance
- Care about logs, metrics, and traceability
- Experience with structured logging
- Experience with metrics instrumentation
- Experience with alerting
- Strong data modeling fundamentals
- Strong schema design fundamentals
- Strong backward-compatible schema evolution fundamentals
- Comfort working with NoSQL systems like MongoDB
- Experience building ingestion frameworks with NoSQL
- Experience managing schema evolution with NoSQL
- Experience integrating Change Streams into ETL
- Knowledge of data partitioning strategies
- Knowledge of large-scale dataset optimization
- Experience with event-driven data pipelines
- Proficiency in Go
- Familiarity with annotation or labeling workflows
- Familiarity with annotation or labeling tooling
- Exposure to Datadog or Prometheus
- Proficiency in Rust
- Interest in learning Rust
Tasks
- Maintain and evolve the data platform
- Design resilient data pipelines
- Build secure APIs and services
- Rearchitect existing systems into reusable components
- Ensure seamless data flow and reliable service operation
- Adhere to strict security and data governance standards
- Design automated data quality pipelines
- Conduct human-in-the-loop data reviews
- Develop and refine data transformation processes
- Instrument systems with metrics and alerts
- Build internal tooling and dashboards
- Provide secure access to large datasets
- Improve CI/CD pipelines and integration tests
- Manage data asset lifecycle
- Track data lineage and enforce schema
- Work with structured and semi-structured data
- Handle data versioning and schema evolution
- Ensure GDPR compliance
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Docker
- Kubernetes
- AWS
- Terraform
- Snowflake
- GitHub Actions
- MongoDB
- SQS
- SNS
- Lambda
- Step Functions
- Go
- Datadog
- Prometheus
- Rust
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Tools for Humanity and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Tools for Humanity
Industry
IT
Description
The company is built on privacy-preserving proof-of-human technology and enables the free flow of digital assets for all.
Noch nicht perfekt?
- Cobrainer GmbH
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