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Remote Fidelity Software Engineer Jobs in Surrey, BC

YO AI Labs

AI Software Engineer - Remote

Vancouver, BC · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Indiegraf

Senior Software Engineer

Vancouver, BC · Remote

CA$98K - CA$147K/yr

Senior Software Engineer This role reports to the Chief Technology Officer. This is a full-time ... Strong communication skills and comfort working in a remote, distributed team * Confidence in ...

Indiegraf

Senior Software Engineer

Vancouver, BC · Remote

CA$98K - CA$147K/yr

Senior Software Engineer This role reports to the Chief Technology Officer. This is a full-time ... Strong communication skills and comfort working in a remote, distributed team * Confidence in ...

YO AI Labs

Backend Engineer - Remote

Vancouver, BC · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

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Remote Fidelity Software Engineer information

What is a remote fidelity software engineer?

Remote Fidelity Software Engineers are technology professionals who design, develop, and maintain software solutions for Fidelity Investments while working from a remote location. They collaborate with teams, write code, troubleshoot issues, and ensure the reliability and security of financial applications and platforms. These engineers often use modern programming languages, cloud technologies, and agile methodologies to deliver high-quality products. Working remotely, they leverage digital communication tools to stay connected and productive. This role requires strong technical skills, problem-solving abilities, and a commitment to continuous learning.

How do remote fidelity software engineers typically collaborate with on-site team members to ensure seamless project delivery?

Remote Fidelity Software Engineers often leverage a variety of communication and project management tools—such as Slack, Jira, and Zoom—to maintain close collaboration with on-site colleagues. Regular stand-up meetings, code reviews, and pair programming sessions are commonly scheduled to keep everyone aligned and to address any technical challenges promptly. Proactive communication and thorough documentation are key to ensuring that remote team members stay integrated with project goals and timelines. This approach helps remote engineers contribute effectively while maintaining strong working relationships with the broader team.

What are the key skills and qualifications needed to thrive as a remote fidelity software engineer, and why are they important?

To thrive as a Remote Fidelity Software Engineer, you need a solid background in software development, proficiency in programming languages like Java or Python, and a bachelor's degree in Computer Science or a related field. Familiarity with financial services platforms, cloud computing tools, version control systems like Git, and relevant certifications (such as AWS Certified Developer) are highly valuable. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for remote collaboration and project delivery. These skills and attributes ensure high-quality, secure software solutions and seamless teamwork in a distributed work environment.

What is the difference between Remote Fidelity Software Engineer vs Remote Network Security Engineer?

AspectRemote Fidelity Software EngineerRemote Network Security Engineer
Required CredentialsBachelor's in CS or related field, coding certificationsBachelor's in CS, cybersecurity certifications (e.g., CISSP)
Work EnvironmentDeveloping software, coding, testing in remote teamsMonitoring, securing networks, incident response remotely
Employer & Industry UsageTech companies, finance, healthcareIT firms, cybersecurity providers, large enterprises
Common Search & ComparisonYesYes

The Remote Fidelity Software Engineer and Remote Network Security Engineer roles share similarities in credentials and remote work settings. However, the Software Engineer focuses on software development, while the Network Security Engineer specializes in protecting network infrastructure. Both roles are vital in tech industries and often searched together by professionals seeking remote tech positions.

Does Fidelity allow remote work?

Fidelity offers remote work options for many roles, including software engineering positions like Fidelity Software Engineer. Remote work policies vary by role and team, but the company has expanded flexible work arrangements in recent years. Candidates should review specific job postings for remote work eligibility and requirements.

What are popular job titles related to Remote Fidelity Software Engineer jobs in Surrey, BC?

For Remote Fidelity Software Engineer jobs in Surrey, BC, the most frequently searched job titles are:

What job categories do people searching Remote Fidelity Software Engineer jobs in Surrey, BC look for?

The top searched job categories for Remote Fidelity Software Engineer jobs in Surrey, BC are:

What cities near Surrey, BC are hiring for Remote Fidelity Software Engineer jobs?

Cities near Surrey, BC with the most Remote Fidelity Software Engineer job openings:

Remote Fidelity Software Engineer jobs near you
Infographic showing various Remote Fidelity Software Engineer job openings in Surrey, BC as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

AI Software Engineer - Remote

YO AI Labs

Vancouver, BC • Remote

$80 - $120/hr

Full-time

Posted 9 days ago

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.