Python Technical Architect

EY Global Delivery Services (GDS) is part of the global integrated service delivery center network by EY, providing IT, project management, and strategic business services globally with 40,000 specialists. The Python Technical Architect will join the EY Digital team to strengthen cloud competency by designing modern, secure, and scalable solutions. The team is dynamic, international, and works with clients worldwide across multiple EY service lines and sectors.

• BTech/MTech or Master’s in Computer Applications.
• 8+ years of commercial software engineering experience with strong backend development in Python.
• Very good knowledge of Python: clean code, typing, testing, packaging, performance basics, and debugging production issues.
• Experience designing backend services, REST APIs, event-driven components, integrations, or data pipelines with ownership of technical design decisions.
• Practical cloud experience with AWS and/or Azure, including designing secure, scalable, observable, and cost-aware services.
• Experience defining or validating non-functional requirements such as performance, security, reliability, observability, and maintainability.
• Experience leading developers technically: code reviews, technical decisions, mentoring, and delivery ownership.
• Strong knowledge of architectural and design patterns, Clean Code, testing best practices, and architectural documentation.
• Experience with CI/CD, Git, and automated deployments.
• Experience supporting technical communities or competencies through mentoring, knowledge sharing, standards definition, or reusable engineering guidance.

Nice to have:

• Experience with Python backend frameworks and ecosystem tools such as FastAPI, Django, Flask, SQLAlchemy, Pydantic, Celery.
• Infrastructure as Code experience with Terraform, Bicep, ARM templates, or AWS CDK.
• Experience with Docker, Kubernetes, Azure DevOps, GitHub Actions or similar delivery tooling.
• Experience with PostgreSQL, SQL Server, DynamoDB, Cosmos DB, S3, Blob Storage or similar database and storage technologies.
• Experience with distributed systems, messaging, queues, idempotency, retries, and failure handling.
• Frontend awareness is useful but not required for this backend role.

Solution design:

• Own solution design for Python-based backend services, APIs, integrations, data processing components, and cloud-native solutions.
• Define technical architecture, implementation approach, non-functional requirements, and engineering standards for complex solutions.
• Ensure solutions are secure, scalable, observable, resilient, and aligned with architectural standards.

Team leadership:

• Lead a small or medium development team by splitting work, removing blockers, supporting delivery, and ensuring technical quality.
• Review code, challenge design decisions, and promote clean, testable, and maintainable Python.
• Drive architectural decisions, document trade-offs, and provide guidance during implementation.

Collaboration and knowledge sharing:

• Work with stakeholders, analysts, architects, DevOps, and engineering teams to translate business requirements into robust technical solutions.
• Share Python knowledge through practical sessions, examples, code reviews, and reusable engineering guidelines.