Senior Full Stack Developer (C#)

Company: INNOSPHERE SDG LTD.

Location: Remote (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-03-30

About this role

Innosphere is seeking a Senior Full Stack Developer with advanced expertise in C#, concurrency models, and modern architectural design principles. This role is pivotal in modernizing core systems by re-engineering legacy synchronous workflows into highly concurrent, thread-safe architectures that drive superior performance and scalability.

Roles & Responsibilities:

  • 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.

Qualifications:

  • Bachelor's degree in Computer Science or related program and/or relevant experience.
  • Significant professional (5+ years) of experience building commercial applications with modern software engineering practices.
  • 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 deployin...

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