Senior Software Engineer

1 week ago

Manila, National Capital Region, Philippines iScale Solutions Full time ₱2,000,000 - ₱2,500,000 per year
  • Design, develop, and maintain robust frameworks and internal tools to enhance engineering efficiency, developer experience, and product quality.
  • Partner with cross-functional teams (Engineering, QA, DevOps, and Product) to identify productivity bottlenecks and deliver scalable solutions.
  • Build custom applications and automation to streamline development processes, testing workflows, and infrastructure support.
  • Lead the integration of Generative AI technologies to accelerate development, testing, and support activities.
  • Ensure scalability, reliability, and maintainability of all frameworks and tools.
  • Provide technical leadership and hands-on coding, influencing the design and architecture of automation and productivity solutions.
  • Troubleshoot and optimize existing frameworks and tools to minimize downtime and improve performance.
  • Monitor and report key metrics to measure the impact of productivity initiatives.
  • Stay up to date on industry trends, with a focus on AI-driven engineering tools and best practices.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or equivalent experience.
  • 6+ years of professional software development experience with a proven track record of delivering high-quality frameworks or tooling.
  • Strong programming expertise in Python (Java, JavaScript, or other languages are a plus).
  • Proven experience designing and implementing automation frameworks or developer productivity tools.
  • Solid understanding of software development best practices, CI/CD pipelines, and testing frameworks.
  • Experience applying Generative AI to real-world engineering challenges (e.g., test generation, code analysis, developer assistance).
  • Strong problem-solving and analytical skills.
  • Effective communication and collaboration skills, with the ability to work across engineering and product teams.
  • Knowledge of Agile and DevOps methodologies.
  • Experience with cloud platforms (AWS, GCP, or Azure).
  • Familiarity with containerization (Docker, Kubernetes) and modern infrastructure practices.
  • Strong interest in developer experience and continuous improvement.

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