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Java Backend with Azure - Locals to WA

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Hybrid

Java Backend with Azure - Locals to WA

Saransh Inc

Java Backend with Azure - Locals to WA

Skills

SQL QueriesJavaAzure

4 months ago

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Important information


Contract type:

Freelance / Contract

Location:

Seattle, WA, USA

Work mode:

Hybrid

Published on:

8 August 2026

What they need


Job Title: Java / Azure Backend Developer

We need 1 onsite for Seattle- 5 days onsite (Only Locals) Job Overview We are seeking a Java Backend Developer with Azure cloud experience to build and support scalable data processing and integration solutions. The ideal candidate will have strong experience in Java development, Azure serverless services, SQL Server, and message-based integration patterns, along with the ability to develop lightweight dashboards and operational monitoring tools.

This role involves building reliable backend services, processing large datasets, integrating systems through messaging patterns, and ensuring operational stability through logging, monitoring, and automated testing.

Key Responsibilities

Design and develop Java-based backend services for data processing and integration workloads.

Build and maintain Azure Functions (Java) for serverless processing.

Implement messaging solutions using Azure Service Bus queues.

Develop robust error handling, retry mechanisms, and poison queue handling for message-based workflows.

Build idempotent processing pipelines with status tracking and proper error classification (transient vs permanent).

Work with SQL Server for data persistence including stored procedures, transactions, and performance tuning.

Develop functionality for large file ingestion and processing (CSV/flat files).

Implement streaming I/O and optimized file handling for large data workloads.

Build simple dashboard-style frontend pages for operational monitoring and status tracking.

Integrate frontend dashboards with backend APIs.

Collaborate with DevOps teams to support CI pipelines and operational monitoring.

Perform troubleshooting using log-driven diagnostics and debugging techniques.

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