Top Software Testing Jobs in Calgary

Build and maintain automated functional, integration, performance, and load testing frameworks for distributed cloud systems. Develop agentic test-generation workflows, AI evaluation suites, golden datasets, scoring pipelines, and CI quality gates. Test AI reliability, safety, latency, and cost while validating platform integrations and customer-facing features. Analyze scalability, identify bottlenecks, review designs for testability, and advance engineering quality standards.

Designs and maintains automated and manual testing strategies, test suites, and test plans. Identifies and tracks defects, performs API, load, and performance testing, and contributes to feature development and bug fixes. Provides testing guidance, participates in code reviews and planning, supports release quality decisions, and promotes software quality across cross-functional teams.

Leads test framework architecture and continuous execution pipelines for cloud platform features. Defines quality engineering standards, advances automation roadmaps, tests highly available Kubernetes and containerized services, and improves continuous delivery stability and release confidence. The role also mentors junior engineers and partners with developers, product stakeholders, and engineering leadership.

Develop and maintain automated tests, testing frameworks, and CI/CD pipelines for cloud-native Kubernetes platforms. Validate scalable architectures, troubleshoot automated test failures, collaborate with engineering teams in Agile environments, and help establish testing best practices. The role requires Python and Pytest automation experience, Kubernetes and cloud-native production service testing, Linux and networking knowledge, security principles, and two years of relevant experience.

Develop and maintain automated unit, integration, and end-to-end test frameworks for scalable virtualized server platforms. Define test strategies, performance quality gates, deployment validation, rollback verification, and test plans for microservices. Investigate deployment issues, troubleshoot root causes, collaborate with engineering teams on integration testing, improve test environments, and automate platform service deployments using scripting and CI/CD tools.

Owns VM and fleet test strategy, hypervisor validation, performance quality gates, and systems-level testing for an IaaS platform. Designs reproducible bare-metal-like environments, develops automated benchmarks and regression gates, validates SLOs and deployment safety, and builds test harnesses in Go, Python, and Perl. The role requires deep expertise in KVM/QEMU/libvirt, Linux internals, x86 and ARM architectures, performance analysis, statistical testing, and CI/CD tooling.

Defines test strategies and performance quality gates while automating testing, deployment, rollback, and validation for scalable virtualized server platforms. Develops unit, integration, and end-to-end test frameworks; creates test plans for microservices; troubleshoots deployment issues; writes deployment scripts; and collaborates with engineering teams on integration testing and environment improvements.

Develop and maintain automated unit, integration, and end-to-end testing frameworks for cloud-native platform services. Investigate deployment issues, troubleshoot root causes, create test plans, validate rollback strategies, and automate service deployments. Collaborate with engineering teams on testing changes and integration environments involving Kubernetes, Service Mesh, APIs, and control-plane technologies. Apply Linux, networking, scripting, performance, and SLO monitoring expertise to ensure scalable, reliable, and secure deployments.

Automate software testing, deployment, and validation for scalable cloud-native platform services. Responsibilities include developing unit, integration, and end-to-end test frameworks; troubleshooting deployment issues; creating test plans; validating rollback strategies; collaborating on integration testing; and scripting platform-service deployments across diverse environments and architectures.

Develop and maintain automated unit, integration, and end-to-end testing frameworks for cloud-native platform services. Investigate deployment failures, troubleshoot cross-environment and architecture-specific issues, create test plans, validate rollback strategies, collaborate across engineering teams, and automate platform deployments. The role requires strong Python, Pytest, Linux, Bash, virtualization, CI/CD, and modern software development lifecycle expertise.

Develop and maintain manual and automated integration, functional, load, and performance tests for cloud APIs and identity services. Build Python automation frameworks, improve CI/CD infrastructure, review automation code, and partner with globally distributed engineering teams. Ensure Akamai cloud systems meet specifications for resilience, security, scalability, and release readiness. Troubleshoot Kubernetes applications and contribute to deployment planning.

Develop and maintain manual and automated integration, functional, load, and performance tests for Akamai cloud APIs and identity services. Build Python automation frameworks, contribute to CI/CD infrastructure, review test automation, validate system scalability and security, and support release readiness. Collaborate with globally distributed developers, SDET engineers, architects, and program managers while testing Kubernetes-based cloud applications.

Build and maintain scalable integration and end-to-end test automation frameworks and CI pipelines. Optimize test execution, improve stability and reporting, support engineering teams with triage and best practices, write technical specs/ADRs, participate in on-call rotation, and collaborate across regions to evolve the companys test strategy and developer productivity tooling.

Execute scheduled, ad hoc, and release-milestone software tests; review test cases; report defects in issue-tracking systems; communicate status in standups; and collaborate with software test managers and development teams. The role requires knowledge of QA methodologies, black-box, grey-box, and white-box testing, strong communication and organization, independent and team-based work, and participation in planning and professional meetings.

Lead the quality engineering efforts for Replicant's AI platform by defining standards, improving testing strategies, and mentoring a QA team to ensure high-quality outputs across software systems.

The Lead Quality Engineer will set quality standards, mentor a QA team, improve testing strategies, and enhance automation in AI-driven workflows.

Design and build a test automation framework from scratch; write and maintain API, integration, and end-to-end UI tests; integrate suites into CI/CD; reduce flakiness; apply and evaluate AI-assisted testing tools; mentor engineers and raise automation quality across squads.

As a Senior Software Development Engineer in Test, you will design automated test frameworks, execute tests for payment workflows, and ensure high-quality integration with ERP systems.