Enterprise Software Engineer (Python, Azure/AWS, Gen AI)

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Skills you'll use

Who can apply

• Experience with FastAPI/Django, React/TypeScript, and GraphQL.
• Knowledge of event-driven architectures (e.g., SNS/SQS, Azure Service Bus), streaming (Kafka/Kinesis), and pub/sub patterns.
• Familiarity with APM tools and SLO/SLA design; capacity and performance testing at scale.
• Exposure to AI/ML services (e.g., Azure OpenAI) and safe LLM integration patterns.
• Contributions to shared Terraform modules and internal design standards.
• Experience with automated deployments utilizing continuous integration and continuous delivery (CI/CD) tools (such as Azure DevOps, GitLab, GitHub, Jenkins or other well-known tools)
• Experience with release management, product rollouts, and service operationalization
• Solid and proven experience with design patterns, SOLID Principles, especially cloud resiliency patterns, working in an agile environment with an SDLC like Scrum, SaFE, etc.
• Being able to write scalable production-grade code leveraging Cloud software development kit (SDKs) and Cloud APIs in (at least) one of the following programming languages: Python, Java, NodeJS or Ruby
• Advanced Technology Adoption and Utilization:

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