Senior .NET & Cloud Platform Engineer (Hybrid)

Kelly Services; Coppell (TX); Hybrid; USD 130,000 - 180,000; Full time

Benefits offered by this job

Health, Dental, Vision Insurance

401(k)

Paid Time Off

Professional Development

Job summary

Motion Recruitment Partners is seeking a Senior Software Engineer to join its platform engineering team in Coppell, TX. This role focuses on C#, .NET and cloud technologies, with a hybrid schedule requiring three days onsite each week.

The successful candidate will own technical solutions from concept through deployment, help modernize core systems into scalable microservices, and contribute to AI-enabled engineering initiatives across the organization.

Qualifications

• 7+ years of software engineering experience.
• Strong hands-on development with C# and .NET.
• Experience building and supporting REST APIs.
• Cloud experience using AWS and/or Azure.
• Experience designing and developing microservices.
• Strong SQL and relational database knowledge.
• Experience participating in architecture and technical design discussions.
• Ability to independently drive technical initiatives.

Responsibilities

• Design and build backend services supporting platform-wide capabilities.
• Develop scalable APIs and integrations.
• Partner with architects and engineering leadership on technical direction.
• Participate in platform modernization initiatives.
• Improve system reliability, scalability, and maintainability.
• Contribute to AI-focused engineering initiatives and productivity improvements.

Skills

7+ years exp

C# & .NET

REST APIs

AWS/Azure

Microservices

SQL / Relational DB

Architecture discussions

Independent initiatives

Job description

Motion Recruitment Partners is seeking a Senior Software Engineer to join its platform engineering team in Coppell, TX. This role focuses on C#, .NET and cloud technologies, with a hybrid schedule requiring three days onsite each week.

The successful candidate will own technical solutions from concept through deployment, help modernize core systems into scalable microservices, and contribute to AI-enabled engineering initiatives across the organization.