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Job Title


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


Company : AgileEngine


Location : Guadalajara, Jalisco


Created : 2025-12-06


Job Type : Full Time


Job Description

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 USIf 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 ROLEAs aSenior/Lead C# Backend Engineerat 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; - UtilizeApache Sparkfor distributed data processing at scale; - Deploy and manage solutions onAWS , 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-5+ years of expert-level proficiency in C#with hands-on experience in multi-threaded and parallel processing; - Strong understanding ofthreading models, synchronization primitives, and concurrency debugging; - Proven experience inperformance tuning and application profilingfor large-scale systems; - Advanced proficiency inSQL(query design, optimization, and data operations); - Hands-on experience withApache Sparkfor distributed data processing; - Proven experience deploying solutions onAWS ; - Exceptional problem-solving and debugging skills with a strong focus on scalability and reliability; - Upper-Intermediare English level.NICE TO HAVES- Experience in re-engineering legacy systems into modern architectures; - Familiarity with microservices design principles and cloud-native development patterns; - Strong communication and collaboration skills with a track record of working in cross-functional teams.PERKS AND BENEFITS-Professional growth:Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.-Competitive compensation:We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.-A selection of exciting projects:Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.-Flextime:Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.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