C# Engineer (Senior / Lead) ID41548 ($2,500 signing bonus)

Job Description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI / ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

As a Senior / Lead C# Backend Engineer at AgileEngine, you will lead the modernization of our core systems by designing and developing highly concurrent, thread-safe applications. You’ll optimize large-scale data operations, leverage distributed processing with Apache Spark, and deploy scalable solutions on AWS, driving performance, reliability, and scalability across our platforms.

WHAT YOU WILL DO

• Lead the design and development of highly concurrent, multi-threaded applications in C#;
• Re-architect legacy synchronous workflows into scalable, thread-safe solutions;
• Apply advanced knowledge of threading models, synchronization primitives, and performance tuning to optimize system throughput and minimize contention;
• Design, develop, and optimize complex SQL queries, stored procedures, and large-scale data operations, including staging and transformations;
• Utilize Apache Spark for distributed data processing at scale;
• Deploy and manage solutions on AWS , ensuring reliability, scalability, and cost efficiency;
• Diagnose and resolve concurrency issues, perform application profiling, and drive continuous improvements in system performance;
• Collaborate with cross-functional teams to define technical requirements, align architecture with business goals, and deliver high-quality solutions.

MUST HAVES

NICE TO HAVES

PERKS AND BENEFITS

Requirements

5+ years of expert-level proficiency in C# with hands-on experience in multi-threaded and parallel processing; Strong understanding of threading models, synchronization primitives, and concurrency debugging; Proven experience in performance tuning and application profiling for large-scale systems; Advanced proficiency in SQL (query design, optimization, and data operations); Hands-on experience with Apache Spark for distributed data processing; Proven experience deploying solutions on AWS; Exceptional problem-solving and debugging skills with a strong focus on scalability and reliability; Upper-Intermediare English level.