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Posted 7 days ago

Staff Software Engineer

@ Quarry Consulting

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Canada

Full-time
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SIGNALS

Overview

Quarry Consulting is hiring a Staff Software Engineer for a remote, permanent direct-hire role starting at 9am EST. The work covers full-stack development, scalable systems, architecture and mentoring engineering teams.

Responsibilities:

  • Design and scale complex software systems
  • Lead architecture and performance tuning
  • Mentor engineering teams
  • Explain technical concepts to non-technical stakeholders

Requirements summary:

  • Experience in full-stack development and cloud infrastructure
  • Advanced skills in React or Angular and C#/.NET Core
  • Proficiency with AWS, Azure or GCP, Terraform/CloudFormation, Kubernetes and Docker
  • Strong experience in architecture, performance tuning and reliability

Tools & skills

ReactAngularC#NET CoreKubernetesDockerTerraformCloudFormationAWSAzure
Source and dates

Source type not verified · apify-linkedin

Employer posting date
2026-11-04
First seen by our source
2026-11-11
Source record updated
2026-11-11

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentSoftware development
Hours per week40 (estimated)
Travelair: none · ground: none
Work settingHome
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

Summary and details written by AI from the posting; the employer’s posting is the authority.

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Quarry Consulting

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Job description

Title: Staff Software Engineer
Location: Remote - able to start 9am EST time
Duration: Permanent - Direct hire

Requirements:
Experience in software engineering, including full-stack development and cloud infrastructure.
Proven leadership in designing and scaling complex software systems and mentoring engineering teams.
Advanced skills in frameworks like React or Angular, C#/.Net Core, scalable API design, and relational/NoSQL databases.
Strong experience in architectural design, performance tuning, and system reliability.
Deep understanding of clean coding standards, design patterns, and CI/CD pipelines.
Proficiency with cloud platforms (AWS, Azure, or GCP), IaC tools (Terraform/CloudFormation), Kubernetes, and Docker.
Excellent collaboration and communication skills, with the ability to explain technical concepts to non-technical stakeholders.
A mindset focused on continuous learning, growth, and sharing knowledge.

Asset:
You have experience with AI/ML integration in software systems.
You have a track record of proposing and implementing innovative technology strategies that improved scalability and productivity.

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