Senior Azure Cloud Backend Engineer (Java, Python, C++) (Hybrid

Job Title: Solutions Engineer (Lead Cloud Solutions Engineer)

Job Location: Chicago, IL (Hybrid - 3 days/week onsite)

Duration: Long Term

Key Technology: Java, Python, C++, SQL/NoSQL database, Azure

Job Responsibilities:

Act as the lead engineer for each domain

Collaborate with Solution Architects to ensure understanding needed for engineering level guidance to nearshore teams

Translate architecture design to engineering level guidance

Own specifying architectural designs into sprint-ready engineering tasks for assigned domain

Ensure delivery to the solution architecture within domain

Answer design questions for sprint teams

Participate in backlog refinement sessions to align team with the architecture

Act as the internal technical expert supporting Product design and Engineering teams on demonstrations and technical discussions.

Create/Update documentation such as solution design patterns and engineering standards.

Lead technical discussions around APIs, integrations, data flow, compliance and security.

Serve as a trusted advisor on best practices, technical implementation, and scalability. Skills and Experience Required:

Required:

8+ years in backend, full-stack, or cloud-based software engineering

Experience developing and deploying Azure Functions in Java, Python, and C++

Should be proficient in Java and at least one of the following: C++ or Python.

Solid knowledge of system architecture, API design, and integration patterns

Strong understanding of Agile/Scrum delivery frameworks

Proven experience delivering solutions using Azure PaaS services

Experience working with SQL and/or NoSQL databases (Azure Cosmos DB, Azure SQL)

Expertise in secure messaging with Azure Service Bus and Azure Key Vaults

Strong knowledge of Azure Cosmos DB, Azure SQL, and Blob Storage

Experience optimizing caching with Azure Redis and instrumenting services using Azure App Insights

Strong understanding of cross-language Azure Functions deployment patterns.

Security expertise (Azure Key Vault, RBAC) and performance tuning experience with Redis are important.Tech Stack:

Java, Spring Boot, Azure Functions (C++, Python, Java), Azure Service Bus, Azure Cosmos DB, Azure Blob Storage, Azure Application Insights, Azure SQL, Azure Cache by Redis, Azure Key Vaults.