Senior Software Engineer - Canada Only
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 3h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 16d ago
The date the source published, not the day we noticed it (2026-09-17). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Canada
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay CA$155.7k–183k/yr
Middle 50% of 124 listings that do state pay — Engineering · Senior · Canada · CAD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
bamboohr employer's own board first seen 3h ago · last seen 1h ago
The listing
About Technosylva
Technosylva is a global leader in wildfire and extreme weather risk mitigation software. The Company’s market-leading solutions, enhanced by AI and machine learning capabilities, provide real-time and predictive insights to support electric utility, insurance and government agency customers.
Technosylva has provided critical solutions for the past 26 years. In 2022 the organization entered a period of significant growth and transformation with investment from TA Associates, a leading growth PE firm, scaling to about 225 employees and offering its product in over 10 countries. In 2024 General Atlantic, a leading global growth investor, announced a strategic growth investment in Technosylva to support the company in its mission.
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.