We are seeking a Software Test Engineer with strong experience in Agile/DevOps, test automation, and Python scripting to support testing activities across telecom, network management, and cloud-native platforms. The ideal candidate will design, develop, and maintain automated test frameworks and contribute to delivering high-quality software in a fast-paced, collaborative environment.
HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN
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Design, develop, and execute automated test suites for backend, microservices, APIs, and network management systems.
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Build and maintain robust automation frameworks using Python, CI/CD, and containerized test environments.
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Develop test scripts for functional, regression, integration, performance, and system-level testing.
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Analyze test results, troubleshoot failures, and drive defect resolution with cross-functional teams.
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Participate in Agile ceremonies (sprint planning, grooming, stand-ups, retrospectives).
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Integrate automated tests into CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps, etc.).
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Collaborate closely with DevOps engineers to optimize test execution in cloud-native environments.
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Validate functionality, performance, and robustness of telecom and network management solutions.
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Test protocols, interfaces, and network components (e.g., SNMP, NETCONF, REST, TCP/IP).
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Analyze logs, network traffic, and system KPIs to ensure compliance with telecom standards and requirements.
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Test and validate microservices deployed in cloud environments (AWS / Azure / GCP).
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Develop test strategies for Kubernetes-based applications, including container orchestration and scaling behavior.
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Work with Helm charts, YAML configurations, and cloud-native monitoring tools.
Qualifications
You Have:
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Bachelors/Masters degree in Computer Science, Engineering, or related field.
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3-7 years of experience as a Test Engineer or Automation Engineer.
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Strong programming/scripting experience in Python.
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Hands-on experience with test automation frameworks (PyTest, Robot Framework, Behave, etc.).
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Solid understanding of Agile/DevOps methodologies.
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Experience with telecom, network management, or network protocols.
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Knowledge of cloud platforms (AWS/Azure/GCP).
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Experience with Docker, Kubernetes, and cloud-native deployments.
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Strong analytical, debugging, and problem-solving skills.
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Familiarity with version control (Git), CI/CD pipelines, and Linux environments.
It would be nice if you also had:
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Experience with performance and load testing (Locust, JMeter, etc.).
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Knowledge of microservices architecture and distributed systems.
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Experience with monitoring and logging tools (Prometheus, Grafana, ELK, Splunk).
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Exposure to BDD/TDD practices.
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Telecom certifications or cloud certifications (AWS/Azure/GCP) are a plus.
