Software Development Manager - Kuala Lumpur, Malaysia - NextLabs

    NextLabs
    NextLabs Kuala Lumpur, Malaysia

    2 weeks ago

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    Description

    Responsibilities:

  • Lead a team of SDET engineers to develop and execute automated tests for complex software products.
  • Identify and manage risks, issues, and potential defects throughout product life cycles.
  • Lead quality acceptance activities for each project milestones.
  • Develop project plans, monitor the execution of project activities, and coordinate any changes.
  • Contribute and review code and test scripts as part of a collaborative team.
  • Build and maintain test infrastructure and CI processes to perform automated testing.
  • Develop, maintain, and augment technical documentation and source control.
  • Foster a culture of innovation and continuous improvement in all areas of technology and instill the principles of this culture in the team.
  • Provide technical leadership as working coach and perform hands-on solution implementation as needed.
  • Effective communication with management and the team.
  • Requirements:

  • Engineering or Computer Science degree or equivalent.
  • 5+ years of software development or testing experience.
  • 2+ years of leadership experience in leading successful software engineering teams.
  • Demonstrate innovation, strong collaboration, excellent communication skills, and a passion for designing high-quality software.
  • Expert in at least one programming language such as Java, Python or C++.
  • Proficient with QA tools and automation frameworks such as Jira, Selenium and Robot Framework. A working knowledge of Selenium is desired.
  • Experienced in implementing continuous integration and delivery concepts (CI/CD) using containers and orchestration tools such as Docker and Kubernetes on AWS, Azure or Google Cloud is a plus.
  • Hands-on experience or knowledge in the following areas are desired.
  • ERP systems such as SAP ECC, SAP S/4 HANA or Oracle ERP
  • Databases such as Oracle DB, Microsoft SQL Server, PostgreSQL, Google BigQuery or AWS Aurora