Vagas remotas de Spark para candidatos em Estados Unidos.

Build, test, and maintain data ingestion, transformation, and pipeline code that turns raw and synthetic data into governed, analysis-ready data products.

• Senior
• AWS
• Azure
• CI/CD
• +5

Develop, train, and evaluate ML models (classification, regression, clustering, anomaly detection) and contribute to LLM-based capabilities such as RAG pipelines and prompt evaluation.

• Middle
• CI/CD
• Docker
• LLM
• +5

High-touch white-glove onboarding

• Middle
• Docker
• Kubernetes
• Python
• +1

Design and implement the orchestration layer that turns natural-language intent into reliable execution.

• Senior
• REST
• Spark

Improve Baseten SRE Practices, by instrumenting SLOs and SLIs, improving alerting and observability for all services.

• Kubernetes
• Spark

Build and own the platform that powers all of Spacelift - from CI/CD to observability to incident response

• Senior
• AWS
• CI/CD
• PostgreSQL
• +1

Lead the design and implementation of complex data ingestion pipelines using PySpark, Databricks Intelligence Platform, and AWS services (S3, IAM roles and policies), including Kafka/streaming architectures, schema evolution

• Senior
• AWS
• CI/CD
• Python
• +2

Pipeline Automation: Design, implement, and manage automated CI/CD and Continuous Training (CT) pipelines for machine learning model development, evaluation, and delivery.

• Senior
• AWS
• CI/CD
• Docker
• +5

Platform Modernization & Legacy Replacement – Reducing reliance on legacy systems through scalable service development

• Senior
• Azure
• CI/CD
• Python
• +3

Identify patterns of failure across the organisation. Analyse incidents and post-incident reviews to find the recurring technical root causes behind customer impact, rather than treating each incident as a one-off.

• Senior
• AWS
• Azure
• Java
• +3

End to end ownership of our database and data warehousing infrastructure, its KPIs and its SLAs, including MySQL, Postgres, CDC capture, and Redshift.

• Senior
• AWS
• REST
• Snowflake
• +2

Multi-cloud capacity management

• CI/CD
• Kubernetes
• Spark

Build and maintain data pipelines that generate training datasets for machine learning models and experimentation

• Junior
• Python
• Spark

Design, build, and operate distributed, data-intensive backend systems that power Data Platform capabilities across Experimentation, Metrics, Release Guardian, Observability, Agent Control, and other product areas.

• Senior
• Python
• Spark
• SQL

5+ years of relevant experience

• Senior
• AWS
• Azure
• Kubernetes
• +2

5+ years of relevant experience

• Senior
• AWS
• Azure
• Kubernetes
• +2

Define and execute sales plans for your assigned territory

• AWS
• Azure
• Docker
• +3

Drive enterprise account strategy - Work alongside AEs to map target accounts and identify the right entry points across security, platform, and engineering teams.

• CI/CD
• Salesforce
• Snowflake
• +1

Drive enterprise account strategy - Work alongside AEs to map target accounts and identify the right entry points across security, platform, and engineering teams.

• CI/CD
• Salesforce
• Snowflake
• +1

Drive enterprise account strategy - Work alongside AEs to map target accounts and identify the right entry points across security, platform, and engineering teams.

• CI/CD
• Salesforce
• Snowflake
• +1

Experience managing software, infrastructure, platform, or SRE teams.

• Lead
• CI/CD
• Kubernetes
• Snowflake
• +1

Define and execute sales plans for your assigned territory

• AWS
• Azure
• Docker
• +3

Define and execute sales plans for your assigned territory

• Middle
• AWS
• Azure
• Docker
• +3