QA Software Engineer

Benefits

Additional Information

Are you passionate about solving problems and delivering next-generation software to enhance the Internet experience? Join a global leader creating software for broadband service providers. We have been growing since 1992 and now work with some of the top service providers worldwide to deliver solutions that are innovative, creative, and make life easier for millions of subscribers. We are seeking a QA Software Engineer in British Columbia or Ontario , Canada who thrives in a fast-paced global team environment. In this role, you will take ownership of quality across complex, distributed systems. This role goes beyond test execution - you will shape test strategy, drive automation maturity, and serve as a quality advocate across multiple engineering teams. You will work directly with our data, ML, and platform engineering squads to validate systems that handle high-throughput event streaming, workflow orchestration, observability pipelines, and ML inference at scale. This is an ideal opportunity for a quality-minded engineer who has solid automation fundamentals and wants to grow into end-to-end ownership of CI/CD quality gates, performance benchmarking, and cross-functional test leadership. This is a fully remote role, with the candidate working out of their home office in BC or ON, Canada. The salary range for this position is $65-$78,000 CAD Test Automation & Engineering Design, implement, and own automated test suites using JUnit and Playwright, across API, UI, and integration layers. Architect reusable, maintainable test frameworks that scale across multiple services and repositories. Lead continuous refactoring of test code to improve coverage, reliability, and execution speed. Collaborate with developers during design and code review phases to embed quality earlier in the development cycle. Define test coverage standards and gap analyses for new features and architectural changes. Mentor junior QA engineers on test design patterns, tooling, and best practices. CI/CD Pipeline Integration Own and maintain QA stages within CI/CD pipelines (Jenkins, GitHub Actions, or equivalent). Design quality gates that enforce test pass rates, coverage thresholds, and static analysis requirements before merges and deployments. Integrate automated test suites into build pipelines across multiple environments (dev, staging, production-mirror). Implement parallel and distributed test execution strategies to minimize pipeline latency. Monitor build health, triaging flaky tests, and driving resolutions to maintain pipeline integrity. Collaborate with DevOps and platform teams to improve deployment confidence and rollback safety. Performance & Load Testing Design and execute performance, load, and stress tests for distributed systems, APIs, and data pipelines. Instrument performance test environments using containerized infrastructure for reproducibility across environments. Define and track SLIs/SLOs (latency, throughput, error rate) and validate systems against them under realistic load conditions. Build and maintain Grafana dashboards to visualize performance test results, resource utilization, and trend analysis over time. Test Kafka consumer/producer throughput, partition lag, and failure recovery behaviours under simulated load. Profile and identify bottlenecks in workflow orchestration pipelines (e.g., Airflow, Prefect, or Argo Workflows), providing data-driven optimization recommendations. Ensure performance test suites are integrated into CI/CD pipelines and execute on a scheduled or per-release basis. UI & End-to-End Testing Build and maintain robust UI test suites using Playwright, covering critical user workflows and regression scenarios. Implement cross-browser and cross-platform UI test strategies, running tests within Dockerized environments. Design visual regression tests to catch unintended UI changes across releases. Integrate E2E UI tests into CI pipelines with appropriate environment staging and teardown logic. Collaborate with frontend and product teams to define acceptance criteria and translate them into automated scenarios. Distributed Systems, Data & ML Validation Develop test strategies for event-driven architectures built on Kafka, validating message ordering, delivery guarantees, and schema contracts. Test data integrity across heterogeneous storage systems including MongoDB, ClickhouseDB, and streaming stores. Design and execute validation frameworks for ML model outputs, evaluating accuracy, consistency, drift detection, and edge-case behaviour across diverse data types and sources. Build observability into test pipelines - emit structured metrics and logs that integrate with Grafana and alerting systems. Validate networking behaviour and protocol compliance (TCP/IP, TR-069, SNMP) for broadband and CPE device management features. Test Infrastructure & Environment Management Build and maintain Docker images for test environments, encapsulating dependencies, browsers, and test tooling. Manag

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