[Hiring] QA Software Engineer @Lumine Group

Role Description

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 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.

Qualifications

• 3–5 years of hands-on software quality engineering experience in a professional software development environment.
• Strong Java programming skills, including object-oriented design, concurrency, and debugging in Linux/Unix environments.
• Proficiency in Python for test scripting, data validation, tooling, and automation workflows.
• Demonstrated experience owning automated test suites with JUnit, Playwright, or equivalent frameworks.
• Experience integrating automated tests into CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or similar).
• Experience with Docker — building images, managing containers, and running tests in containerized environments.
• Solid understanding of TCP/IP networking, distributed systems concepts, and multi-tiered application architectures.
• Experience designing and executing performance or load tests and analyzing results (latency, throughput, resource utilization).
• Experience with UI/E2E testing methodologies and tooling.
• Experience working with NoSQL or columnar databases (MongoDB, ClickhouseDB, or similar).
• Strong analytical thinking — able to decompose complex systems into testable components and articulate risk clearly.
• Excellent communication skills in English (written and verbal); able to document test strategies and communicate findings to both technical and non-technical audiences.
• Ability to work autonomously, prioritize across competing demands, and proactively unblock others.

Requirements

• 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.
• 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.
• 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.
• 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.
• 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.
• Build and maintain Docker images for test environments, encapsulating dependencies, browsers, and test tooling.
• Manage Ansible playbooks and roles for provisioning repeatable test environments at scale.
• Contribute to cloud-based (AWS, GCP) test infrastructure, including ephemeral environments for isolated test runs.
• Own test environment reliability — proactively identify and resolve environment-caused failures versus product defects.

Benefits

• Fully remote role.
• Salary range: $65-$78,000 CAD.

Preferred / Nice to Have

• Experience testing event-driven or streaming systems, particularly Apache Kafka (consumer/producer behavior, partition lag, schema registry).
• Familiarity with workflow orchestration platforms such as Apache Airflow, Prefect, or Argo Workflows.
• Experience building or querying Grafana dashboards for performance monitoring and observability.
• Hands-on experience validating ML/AI model outputs — accuracy evaluation, data drift detection, edge-case testing.
• Experience with Ansible for configuration management and environment provisioning.
• Cloud platform experience (AWS, GCP) including ephemeral environments, object storage, and managed services.
• Experience in the telecommunications or broadband provider industry.
• Familiarity with test methodologies for Big Data applications.
• Experience with shell scripting for environment setup, data seeding, or test orchestration.
• Knowledge of network hardware: routers, switches, and Layer 2/3 protocols.