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Senior Backend Engineer, Architecture Engineering

Jobgether

Canada
Full-time
Senior
5+ yrs
Salary not listedPosted 19h ago

Real job — pulled straight from Jobgether’s careers page · Verified August 12, 2026 · No reposts.

Job description

Jobgether is hiring a Senior Backend Engineer, Architecture Engineering — a full-time, based in Canada role. Apply directly on Jobgether's careers page below.

Senior Backend Engineer, Architecture Engineering: Nonlinear Productivity

Team: IT

Location: Canada

Commitment: Full-time

Workplace Type: remote

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Backend Engineer, Architecture Engineering: Nonlinear Productivity based in the Canada .

Join a highly innovative engineering team focused on transforming software development through AI-powered automation. In this role, you'll identify bottlenecks across the development lifecycle and build intelligent, production-ready solutions that improve engineering productivity at scale. Working in a greenfield environment, you'll help shape next-generation backend systems while collaborating with globally distributed teams on complex technical challenges. This opportunity is ideal for experienced backend engineers who enjoy solving ambiguous problems, designing reliable distributed systems, and driving meaningful innovation using modern AI technologies. You'll have significant ownership, influence technical direction, and contribute to initiatives with long-term strategic impact.

Accountabilities:

    • Design, architect, and implement AI-powered backend systems that automate and optimize software development workflows.
    • Identify friction points across the engineering lifecycle and transform them into scalable, reliable automation solutions.
    • Develop intelligent workflows using agent-based architectures, orchestration frameworks, safety mechanisms, and automated recovery strategies.
    • Build evaluation frameworks to measure AI system performance, reliability, compliance, and operational efficiency.
    • Apply distributed systems expertise to ensure scalability, resilience, concurrency handling, and production readiness across multiple deployment environments.
    • Contribute across multiple areas of the codebase, adapting quickly to different technical domains and solving problems wherever they arise.
    • Collaborate with globally distributed engineering teams to share tooling, best practices, technical roadmaps, and reusable solutions.
    • Drive technical innovation by helping transform internal engineering capabilities into scalable customer-facing products.
    • Requirements

      • 5+ years of professional software engineering experience with strong backend development expertise.
      • Proven experience designing and deploying production-grade AI, agentic, or large language model-based systems.
      • Strong knowledge of distributed systems concepts including consistency, concurrency, fault tolerance, rate limiting, and scalability.
      • Advanced programming skills in Go (preferred), Rust, or Python, with the ability to work across multiple languages.
      • Experience working within complex codebases and independently delivering end-to-end technical solutions.
      • Solid understanding of software development lifecycle automation, build systems, release pipelines, or developer productivity tooling.
      • Familiarity with production AI evaluation methodologies, operational constraints, and large-scale system optimization.
      • Excellent problem-solving, communication, collaboration, and technical leadership skills.
      • Experience working effectively within remote, cross-functional, and globally distributed engineering teams.
      • Passion for leveraging AI to improve engineering efficiency and software quality.
      • Benefits

        • Fully remote position within the United States.
        • Competitive compensation package.
        • Equity compensation and Employee Stock Purchase Plan.
        • Flexible Paid Time Off.
        • Comprehensive health, financial, and wellness benefits.
        • Parental leave programs.
        • Growth and professional development funding.
        • Employee Resource Groups and an inclusive remote-first culture.
        • Opportunity to work on cutting-edge AI technologies with significant technical ownership.
        • Career growth within a fast-paced, innovation-driven engineering environment.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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Frequently asked questions

What skills are required for Senior Backend Engineer, Architecture Engineering at Jobgether?

The required skills for Senior Backend Engineer, Architecture Engineering at Jobgether include: Go, Rust, Python, AI, LLM.

What is the seniority level for Senior Backend Engineer, Architecture Engineering at Jobgether?

Senior Backend Engineer, Architecture Engineering at Jobgether is a Senior level position.

How do I apply for Senior Backend Engineer, Architecture Engineering at Jobgether?

You can view the full description and apply for Senior Backend Engineer, Architecture Engineering at Jobgether on EchoJobs: https://echojobs.io/job/jobgether-senior-backend-engineer-architecture-engineering-nonlinear-productivity-dbmn3.