Software Engineer - Engineering Productivity

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

Join a globally distributed engineering team focused on building scalable developer productivity solutions that improve software quality, reliability, and delivery speed. This role is ideal for an experienced engineer who enjoys solving complex infrastructure challenges while driving engineering excellence across the software development lifecycle. You will design automation frameworks, strengthen CI/CD processes, and champion quality initiatives that enable faster, safer deployments. Working closely with cross-functional engineering teams, you will influence technical strategy, streamline internal tooling, and help establish best practices that support long-term platform reliability. This is an opportunity to make a broad organizational impact while working in a collaborative, remote-first environment that values innovation, ownership, and continuous improvement.

Accountabilities

• Design and drive engineering-wide reliability programs that improve software quality and deployment confidence across development teams.
• Build and enhance automated testing frameworks, CI/CD pipeline gates, and quality controls covering performance, security, accessibility, and reliability.
• Define, monitor, and improve engineering metrics such as DORA metrics, SLIs/SLOs, deployment quality indicators, and platform health measurements.
• Develop scalable load testing solutions, synthetic data architectures, and production validation strategies that enable safe, high-confidence releases.
• Leverage AI-assisted development tools to accelerate testing infrastructure, automation, and engineering productivity while maintaining rigorous validation standards.
• Lead modernization efforts by consolidating legacy testing platforms into unified, automated engineering solutions.
• Collaborate closely with engineering teams to improve development practices, reduce operational overhead, document technical solutions, and promote consistent software quality across the organization.
• Act as a technical leader and trusted partner, influencing engineering standards and driving adoption of reliability-focused processes throughout the software development lifecycle.
  
  

Requirements

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• 5+ years of professional software engineering experience with strong proficiency in backend development using languages such as Python, Go, or similar technologies.
• Proven experience designing, maintaining, and improving distributed systems, backend infrastructure, and engineering productivity platforms.
• Strong expertise with Infrastructure as Code (IaC), cloud platforms such as AWS and/or Google Cloud Platform (GCP), and modern CI/CD practices.
• Hands-on experience implementing automated testing, performance testing, security validation, and software quality engineering solutions.
• Familiarity with AI-assisted software development tools and the ability to safely integrate AI-generated code and infrastructure into engineering workflows.
• Strong understanding of software reliability principles, engineering metrics, observability, and platform performance optimization.
• Excellent communication, collaboration, and stakeholder management skills, with the ability to influence engineering teams and drive organizational adoption of technical initiatives.
• Product-oriented mindset with a focus on delivering measurable business outcomes, continuous improvement, and high-quality engineering practices.
  
  

Benefits

• Competitive base salary ranging from $146,200 to $190,000 USD, based on experience, skills, and location.
• Performance-based bonus program and equity opportunities.
• Comprehensive medical, dental, vision, and healthcare coverage for employees and eligible dependents.
• Remote-first work environment with flexible work arrangements and collaboration across global teams.

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• Generous paid time off, company holidays, No-Meeting Fridays, and mental health support initiatives.
• Professional development opportunities including mentorship, learning programs, training resources, and development funding.
• Home office setup reimbursement.
• Paid parental leave for all new parents.
• Regular performance reviews and compensation evaluations.
• Additional employee wellness programs and company-sponsored benefits.
  
  

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?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.