Senior II Software Development Engineer in Test

Canada
Remote
Posted Oct 9, 2026
1 position

$120,400–$216,600 / year

Opens an external site

Employment type: Full-time
Experience level: Senior · 5+ years
Minimum education: Bachelor’s degree
Posting language: English
Working hours: 40 hours per week

Job summary

You will design and maintain automated testing frameworks for cloud-native platforms while collaborating with engineering teams to ensure reliable deployments. The role involves investigating deployment issues, identifying root causes, and defining strategies for safe release and validation.

Job details

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior II Software Development Engineer in Test based in Canada. This is an opportunity for an experienced software engineering professional to help build highly scalable, reliable, and resilient cloud-native platforms. You will play a key role in automating the software development lifecycle, from testing and deployment through validation and production readiness. The position sits within a collaborative platform engineering environment focused on service mesh, APIs, control-plane technologies, and other cloud-native services. You will work closely with engineering teams to strengthen test strategies, identify risks, troubleshoot complex issues, and improve development workflows. Your work will directly contribute to the correctness, performance, reliability, and safe deployment of critical platform services. The role offers a technically challenging environment where curiosity, automation, continuous improvement, and engineering excellence are highly valued. As a remote position, it provides the flexibility to work effectively from home while collaborating with distributed technical teams. \n Accountabilities: Partner with engineering teams to determine effective testing approaches for proposed code and platform changes. Investigate deployment-related issues across different environments, identify root causes, and recommend practical solutions. Design, develop, and maintain automated testing frameworks covering unit, integration, and end-to-end testing. Create and maintain comprehensive test plans and test cases for platform technologies, including service mesh components, APIs, and control-plane services. Identify relevant scenarios, edge cases, and potential failure modes to improve test coverage and platform reliability. Collaborate with other engineering groups on integration testing and recommend improvements to testing infrastructure and environments. Define and validate requirements for safe deployment, rollback, and release strategies. Verify deployment requirements throughout the release process to help ensure reliable and controlled production changes. Develop and maintain scripts that automate the deployment and validation of platform services. Contribute to improvements in software development lifecycle practices, automation, reliability, and operational quality. Requirements: Approximately 8 years of relevant professional experience, along with a Bachelor's degree in Computer Science or a related technical discipline. Strong expertise in cloud-native infrastructure, with a solid understanding of system internals, scalability, reliability, and performance. Hands-on experience developing and testing products and workflows built on Kubernetes. Experience with test automation, continuous integration, and deployment tools such as Jenkins, GitHub Actions, and SaltStack. Strong Linux fundamentals, including experience with system performance analysis and tuning. Strong Bash and general scripting skills for automation and troubleshooting. Deep understanding of networking fundamentals, including VRF, HTTP, TLS, TCP/IP, DNS, and related protocols. Good understanding of modern software development lifecycle practices and quality engineering methodologies. Familiarity with service-level objectives, monitoring, alerting, and reliability-focused engineering practices. Strong analytical and troubleshooting abilities, with the ability to identify root causes and translate findings into effective technical solutions. Excellent collaboration and communication skills, with the ability to work effectively across engineering teams. A proactive mindset and genuine interest in automation, scalability, reliability, and technical excellence. Benefits: Competitive base salary ranging from approximately CAD $120,400 to $216,600 per year, depending on experience, skills, certifications, and other relevant factors. Potential eligibility for annual bonus or other incentive compensation. Equity awards and access to an Employee Stock Purchase Plan (ESPP), where eligible. Comprehensive healthcare benefits supporting employees' health and wellbeing. RRSP program to support long-term financial planning. Paid vacation/PTO, sick time, and company holidays. Family-friendly benefits and employee assistance programs. Resources supporting mental and financial wellbeing. Remote work flexibility through a work model designed to support employees working from home, in an office, or through a combination of both. A collaborative, technically ambitious environment focused on cloud-native infrastructure, automation, reliability, and continuous innovation. Opportunities to work on large-scale technology challenges and develop your technical expertise alongside experienced engineering teams. \n 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. #LI-CL1

What you’ll do

Requirements

Candidates must have approximately 8 years of professional experience and a Bachelor's degree in Computer Science or a related field. Strong expertise in Kubernetes, cloud-native infrastructure, Linux, and test automation tools is required.