Senior .NET Performance Engineer

service

Path™ is an innovative provider of commercial software for IT Service Providers, specifically managed Services and Cloud Computing providers.

We are strong proponents of leveraging Artificial Intelligence to drive innovation, aligning with our core value of continuous improvement. By integrating AI into our workflows, we enhance productivity, streamline processes, and elevate our solutions to new heights.

To learn more about our corporate values and how AI shapes our approach, visit our website.

Job Description
We are looking for a Senior .NET Performance Engineer to own the runtime health and throughput characteristics of our platform. This is a specialist contributor role — you won't be building feature logic, you'll be ensuring the systems that run it do so efficiently, reliably, and at scale.

Our platform handles complex revenue lifecycle calculations across large contract datasets, with high-throughput data pipelines and long-running services that demand careful memory management and tuning. If your instinct when something feels slow is to open a profiler rather than add a cache, this role is for you.

At service

Path™, we seek candidates who are eager to enhance performance by leveraging tools and technologies like AI. Our goal is to streamline tasks, increase efficiency, and maximize productivity, making work more manageable while driving organizational success.

About The Job

Job Title:

Senior .NET Performance Engineer

Department:
Engineering

Reports to:

Principal Engineer

Shift: Day Shift

Position:
Full-Time, Permanent

Working Hours:

Eastern or Atlantic Time Zone

Location Type:
Remote - Canada (Preferred Toronto)

Key Responsibilities

Profile, diagnose, and resolve performance bottlenecks across .NET services — from GC pressure and memory leaks to thread contention and I/O saturation

Own memory management strategy across long-running services — heap allocation patterns, LOH fragmentation, finaliser queues, and GC tuning (gen0/1/2, server vs. workstation, DATAS)

Investigate and optimise high-throughput data pipelines — batch processing, streaming patterns, buffer management, and back pressure handling

Identify and resolve large dataset query performance issues — index utilisation, query plan analysis, pagination strategies, and aggregation efficiency across both relational and document databases

Establish and maintain performance benchmarking infrastructure using Benchmark Dot Net  and load testing tooling — define baselines, track regressions, and gate releases on performance criteria

Conduct performance-focused code reviews — identify allocations, boxing, closure captures, LINQ misuse, and other common .NET performance anti-patterns

Collaborate with product engineers to surface performance constraints early in design, without blocking feature delivery

Produce clear diagnostics and findings documentation that non-specialists can act on

Required:

Key Competency and Experience

5+ years of .NET / C# development with a demonstrable specialism in performance engineering

Deep, hands‑on experience with .NET profiling tools — dot Memory, dot Trace, Perf View, Visual Studio Diagnostic Tools, or equivalent

Strong understanding of .NET memory management internals — GC generations, LOH, pinned objects, finalisation, and how allocation patterns affect runtime behaviour

Experience optimising high-throughput data processing pipelines — including async/await patterns, Channel, pipelines, and avoiding synchronisation bottlenecks

Proven ability to diagnose large dataset query performance issues across both relational (SQL) and document databases, including index analysis and query plan interpretation

Familiarity with ETW, Event Pipe, and diagnostics tooling (dotnet-trace, dotnet-counters, dotnet-dump)

Strong benchmarking discipline — Benchmark Dot Net , reproducible test conditions, and regression tracking

Ability to communicate findings clearly across engineering teams

Core Competencies

Deep diagnostic instinct

Low‑ego specialist mindset

Clear written communication

High ownership

Comfortable working independently across a distributed team

Preferred

Experience with Raven

DB or other document databases at scale — including index…