Senior Software Engineer - Canada Only

Role Overview

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.

Requirements

Required

* 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.