QA Software Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design, implement, and take ownership of automated test suites across API, UI, and integration layers.

• Create reusable test frameworks that span multiple services and repositories.

• Refactor test code to enhance coverage, reliability, and execution speed.

• Collaborate with developers during the design and code review phases to instill quality from the outset.

• Establish test coverage standards and conduct gap analyses.

• Mentor junior QA engineers to foster growth and skill development.

• Manage and uphold QA stages within CI/CD pipelines.

• Develop quality gates for test pass rates, coverage thresholds, and static analysis.

• Integrate automated tests within development, staging, and production-mirror environments.

• Implement parallel and distributed test execution strategies.

• Monitor build health, address flaky tests, and resolve pipeline issues.

• Collaborate with DevOps and platform teams to ensure deployment confidence and rollback safety.

• Design and implement performance, load, and stress tests.

• Equip performance test environments using containerized infrastructure.

• Define and track SLIs/SLOs and validate systems under realistic load conditions.

• Construct and maintain Grafana dashboards for performance and resource analysis.

• Test Kafka throughput, partition lag, and failure recovery mechanisms.

• Analyze workflow orchestration pipelines and suggest optimizations.

• Integrate performance tests into CI/CD schedules or on a per-release basis.

• Build and maintain Playwright UI test suites for essential workflows and regression scenarios.

• Implement cross-browser and cross-platform UI testing within Dockerized environments.

• Develop visual regression tests.

• Integrate end-to-end UI tests into CI pipelines.

• Collaborate with frontend and product teams to define acceptance criteria and automate scenarios.

• Develop test strategies for Kafka event-driven architecture.

• Ensure data integrity across MongoDB, ClickhouseDB, and streaming stores.

• Validate ML model outputs for accuracy, consistency, drift, and edge cases.

• Incorporate structured metrics and logs into test pipelines for Grafana and alerting.

• Validate TCP/IP, TR-069, and SNMP networking behavior and protocol compliance.

• Build Docker images for testing environments.

• Manage Ansible playbooks and roles for consistent environment provisioning.

• Contribute to AWS and GCP test infrastructure, including ephemeral environments.

• Ensure test environment reliability and differentiate environment failures from product defects.

⛳️ Requirements

• 3–5 years of practical software quality engineering experience in a professional software development setting.

• Strong Java programming expertise, including object-oriented design, concurrency, and debugging in Linux/Unix environments.

• Proficient in Python for test scripting, data validation, tooling, and automation workflows.

• Proven experience in managing automated test suites using JUnit, Playwright, or similar frameworks.

• Experience in integrating automated tests into CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or equivalent).

• Familiar with Docker — building images, managing containers, and executing tests in containerized environments.

• Comprehensive understanding of TCP/IP networking, distributed systems concepts, and multi-tiered application architectures.

• Experience in designing and executing performance or load tests and analyzing outcomes (latency, throughput, resource utilization).

• Familiarity with UI/E2E testing methodologies and tools.

• Experience working with NoSQL or columnar databases (MongoDB, ClickhouseDB, or similar).

• Strong analytical skills — capable of breaking down complex systems into testable components and clearly articulating risks.

• Excellent communication abilities in English (both written and verbal); capable of documenting test strategies and conveying findings to technical and non-technical audiences.

• Ability to work independently, prioritize competing demands, and proactively assist others in overcoming obstacles.

• Preferred / Nice to Have: Experience in testing event-driven or streaming systems, particularly Apache Kafka.

• Preferred / Nice to Have: Familiarity with Apache Airflow, Prefect, or Argo Workflows.

• Preferred / Nice to Have: Experience creating or querying Grafana dashboards.

• Preferred / Nice to Have: Hands-on experience in validating ML/AI model outputs.

• Preferred / Nice to Have: Experience with Ansible.

• Preferred / Nice to Have: Experience with cloud platforms (AWS, GCP).

• Preferred / Nice to Have: Background in the telecommunications or broadband provider industry.

• Preferred / Nice to Have: Familiarity with Big Data testing methodologies.

• Preferred / Nice to Have: Experience with shell scripting.

• Preferred / Nice to Have: Knowledge of network hardware and Layer 2/3 protocols.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work options.

• Professional development opportunities and training programs.

• A collaborative and inclusive work environment.