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GT

Staff Architect / Tech Lead

GT

Staff Architect/Tech Lead responsible for architecture and technical leadership in building an AI-powered Data Intelligence Platform. Collaborating with cross-functional teams to drive engineering quality and implementation standards.

Posted 6/16/2026contractRemote • 🇵🇱 PolandSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDockerETLGoogle Cloud PlatformPython

About the role

Key responsibilities & impact
  • Define and own architecture for a new AI/Data product workstream
  • Design scalable backend services, data flows, and integration patterns
  • Guide implementation and support engineers through technical leadership
  • Review code, architecture decisions, and engineering standards
  • Collaborate with product stakeholders to translate requirements into technical solutions
  • Design and evolve data platform components, pipelines, and services
  • Contribute to AI-enabled product capabilities and agent-based workflows
  • Drive engineering quality, documentation, testing standards, and maintainability
  • Participate in hands-on implementation of complex technical initiatives

Requirements

What you’ll need
  • 8+ years of software engineering experience, including at least 2 years operating at Staff Engineer, Staff Architect, Principal Engineer, or Technical Lead level
  • Strong Python experience, ideally with FastAPI or similar backend frameworks
  • Strong system design and software architecture background
  • Experience building data platforms, ETL pipelines, or large-scale data systems
  • Experience with Databricks and modern data engineering practices
  • Experience working with cloud-native architectures (Azure, AWS, or GCP)
  • Familiarity with containerized environments (Docker)
  • Understanding of AI/LLM-enabled products and agent-based systems
  • At least Upper-Intermediate (B2+) English or higher

Benefits

Comp & perks
  • Remote (Europe-based candidates only)

ATS Keywords

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Hard Skills & Tools
PythonFastAPIsystem designsoftware architecturedata platformsETL pipelineslarge-scale data systemscloud-native architecturescontainerizationAI/LLM-enabled products
Soft Skills
technical leadershipcollaborationcode reviewengineering standardsdocumentationtesting standardsmaintainability