Java Senior Technical Lead - DevOps, AWS

About the role

You’ll build and reproduce hyperscaler infrastructure in-house. The core deliverable is standing up realistic AWS, Azure, and GCP environments—defined entirely as infrastructure-as-code—that clone the setups strategic customers and SIs actually run.

What you'll do

• Build hyperscaler infrastructure across AWS, Azure, and GCP, defined entirely as code—version-controlled, parameterized, and reproducible
• Clone customer and SI hyperscaler environments in-house: discover or import their configuration and topology and reproduce an equivalent internally—resource hierarchies
• You replicate configuration and shape, not customer data or secrets
• Configure representative hyperscaler AI services such as AWS Bedrock/SageMaker, Azure AI Foundry/Azure OpenAI, and GCP Vertex AI, including relevant models, deployments
• Ensure environments expose realistic APIs, resource relationships, logs, metrics

What you need

• 6–10 years in software engineering
• AWS
• Java
• REST APIs
• Python
• Go
• GCP
• Any graduate

Good to have

• ServiceNow
• Machine learning
• IAM
• Azure
• Terraform
• CI/CD