Description review
Senior Software Engineer - Canada Only
Technosylva · Canada · back to the listing
HR standards
46/100
poor
Title ↔ description
81/100
solid
Reads as
Backend Engineer
100% confident
What this role officially is
software developer — ESCO, the EU occupation classification
Software developers implement or program all kinds of software systems based on specifications and designs by using programming languages, tools, and platforms.
Also known as: application developer, application programmer, solutions developer, programmer, software specialist, application software developer
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What the listing never says
- 21 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
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 years1 . 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.
Originally posted on Himalayas
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 years1 . 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.
Originally posted on Himalayas