Vagas remotas de AWS para candidatos em Alemanha.

5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role

• Lead
• AWS
• Azure
• Java
• +5

5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role

• Lead
• AWS
• Azure
• Java
• +5

Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.

• Lead
• AWS
• Azure
• GCP
• +3

Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.

• Lead
• AWS
• Azure
• GCP
• +3

Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.

• Lead
• AWS
• Azure
• GCP
• +3

Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.

• Lead
• AWS
• Azure
• GCP
• +3

Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.

• Lead
• AWS
• Azure
• GCP
• +3

Work across the entire Linux stack, from kernel, networking, storage, to applications,

• AWS
• Azure
• GCP
• +4

5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,

• Lead
• AWS
• Azure
• CI/CD
• +4

5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,

• Lead
• AWS
• Azure
• CI/CD
• +4

5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,

• Lead
• AWS
• Azure
• CI/CD
• +4

5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,

• Lead
• AWS
• Azure
• CI/CD
• +4

5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,

• Lead
• AWS
• Azure
• CI/CD
• +4

Design, build, and maintain scalable MLOps infrastructure for machine learning and Generative AI applications.

• Senior
• AWS
• Azure
• CI/CD
• +6

The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.

• Senior
• React
• AI
• Android
• +14

Enhancing high availability and elasticity so the system can scale automatically and efficiently as our customer base grows. It should make capacity decisions transparently and safely, without manual intervention.

• Middle
• AWS
• CI/CD
• GCP
• +4

Own the reliability, availability, and accuracy of our data infrastructure, ensuring compliance with data privacy standards

• Senior
• AWS
• Python
• Snowflake
• +1

Build and optimize cloud-native data pipelines on AWS — ETL/ELT and the infrastructure underneath (Aurora, Redshift, dbt, Spark/EMR, Airflow, CDC) — using AI tooling as a standard part of the workflow.

• Middle
• AWS
• Azure
• GCP
• +5

Fully remote position.

• Senior
• AWS
• Python
• Spark
• +1

Design and implement advanced PostgreSQL schemas with row-level security (RLS) for multi-tenant applications.

• Senior
• AWS
• Docker
• LLM
• +4

Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.

• Senior
• AWS
• Docker
• GCP
• +3

Design, implement, and maintain cloud-native platform to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock.

• Senior
• AWS
• CI/CD
• Docker
• +3

5+ years of experienceas a Data Engineering (designing and maintaining data pipelines, data quality, reliability).

• Senior
• AWS
• GCP
• Snowflake