[Hiring] Senior Software Engineer @Technosylva

Role Description

We are hiring a backend-focused Senior Software Engineer to build and optimize the high-performance services and compute models at the core of our platform. This role combines strong systems and backend engineering with advanced numerical and parallel-computing expertise. You will design robust services and APIs while also writing the highly optimized, concurrent code that makes large-scale simulation fast and accurate. It is an ideal fit for an engineer who is equally comfortable reasoning about service architecture and squeezing performance out of compute- and memory-intensive workloads.

Responsibilities

• Design, build, and maintain backend services and APIs (REST/gRPC or equivalent).
• Model, optimize, and maintain relational and non-relational databases — schema design, query tuning, and data integrity.
• Implement and troubleshoot inter-process communication (IPC, messaging, and service-to-service protocols).
• Develop primary backend systems in C# and Java.
• Design and implement highly optimized compute models in C++.
• Apply synchronization, concurrency, and multi-processing techniques to maximize throughput and correctness.
• Profile, benchmark, and optimize performance-critical code paths.
• Translate mathematical and algorithmic requirements into efficient, production-grade code.
• Participate in architecture decisions, code reviews, and technical mentorship.
• Write clean, testable, well-documented code and contribute to CI/CD practices.

Qualifications

• Strong proficiency in C# and Java for backend development.
• Strong C++ skills for high-performance compute work.
• Solid understanding of concurrency, synchronization primitives, threading, and multi-processing.
• Strong mathematical proficiency — numerical methods, linear algebra, or applied math relevant to compute models.
• Experience with API design, database design, and IPC mechanisms.
• Proven ability to profile and optimize compute- and memory-intensive workloads.

Preferred Qualifications

• Experience with parallel and high-performance computing — multithreading at scale, SIMD/vectorization, GPU (CUDA/OpenCL), or distributed compute (MPI).
• Background in scientific, geospatial, simulation, or physics-based modeling domains.
• Familiarity with cloud infrastructure and containerized deployment (AWS/Azure/GCP, Docker, Kubernetes).
• Experience building and operating low-latency, high-throughput data or compute pipelines.
• Working knowledge of observability, testing, and performance-regression practices for production systems.