Backend Software Engineer (In-person interviews)

IrisLogic Inc; Austin (TX); On-site; USD 100,000 - 150,000; Full time

Job summary

IrisLogic Inc. in Austin, TX seeks a backend engineer to design, develop, and maintain high-performance services using .NET Core and C#. You will build scalable systems that power our client's innovative products.

You'll design and optimize RESTful APIs for seamless service integration with frontend apps and write efficient MySQL queries to handle complex data in large-scale environments. Collaboration on software architecture decisions is expected. Local candidates only; in-person interviews.

Qualifications

• Design, develop, and maintain robust backend services using .NET Core and C#, focusing on high-performance, scalable applications.
• Build and optimize RESTful APIs to enable seamless integration between services and frontend applications.
• Write efficient SQL queries in MySQL to manage complex data operations and support large-scale environments; collaborate on software architecture decisions.

Responsibilities

• Design, develop, and maintain robust backend services using .NET Core and C#.
• Build and optimize RESTful APIs for seamless service integration with frontend apps.
• Write efficient MySQL queries to support large-scale data operations and ensure data integrity.

Tools

.NET Core

C#

Kafka

RabbitMQ

REST API

MySQL

Job description

Location: Austin, TX (Local candidates who can go for in-person interviews)

Responsibilities

• Design, develop, and maintain robust backend services using .NET Core and C#, focusing on high-performance, scalable applications that support client's innovative products.
• Build and optimize RESTful APIs to enable seamless integration between services, frontend applications
• Write efficient SQL queries in MySQL to manage complex data operations, ensuring data integrity and performance in large-scale environments Collaborate on software architecture decisions
  

Skills

• NET Core, C#, Kafka, Rabbit MQ, Rest API
  

Experience in SQL queries using MySQL