Lead Software Engineer (AIOps and Resilience)

About the role

Singapore Airlines is looking for a Lead Software Engineer, AIOps and Resilience, to design and build intelligent solutions that transform IT operations, IT service management and operational resilience. This is a hands-on engineering and technical leadership role focused on AI-powered automation, operational analytics and self-healing capabilities that improve service reliability, reduce manual effort and accelerate incident resolution. The role works closely with architects, platform engineers, cybersecurity specialists and IT service management teams, and helps educate teams on responsible AI adoption and modern engineering practices.

Key responsibilities

• Design, develop and maintain software solutions that improve IT operations, ITSM and operational resilience.
• Build AI-powered capabilities such as intelligent assistants, predictive analytics, incident insights, knowledge management and automated remediation.
• Lead end-to-end delivery of software solutions, from design and architecture through development, testing, deployment and production support.
• Develop APIs, automation frameworks, integrations and cloud-native applications using modern software engineering practices.
• Drive operational excellence through automation, observability, data-driven decision-making and continuous improvement.
• Implement self-healing and proactive operations capabilities to detect, diagnose and resolve issues more effectively.
• Collaborate with architects, platform engineers, cybersecurity teams and IT stakeholders on scalable, secure and resilient solutions.
• Ensure AI and automation solutions are governed responsibly, with regard to security, privacy, explainability and human oversight.
• Mentor engineers, conduct code reviews and champion software engineering, testing and operational best practices.
• Influence and educate IT teams on AI adoption, automation, modern ITSM and reliability engineering.

Required profile

• Bachelor's degree in Computer Science, Software Engineering, Information Technology or a related discipline.
• At least 5 years of experience in software engineering, platform engineering, DevOps, Site Reliability Engineering or automation development.
• Experience designing and delivering enterprise applications, APIs, integrations and automation solutions.

Required skills

• Strong software development in one or more languages such as Python, Java, C#, JavaScript, TypeScript or Node.js.
• Familiarity with cloud platforms such as Microsoft Azure, Amazon Web Services or Google Cloud Platform.
• Experience with CI/CD pipelines, Git, containers, testing and modern software delivery practices.
• Generative AI coding tools (OpenAI Codex, Claude Code, GitHub Copilot or equivalent) with code generation, testing, debugging and automation is highly desirable.
• Observability tools such as Splunk, Grafana, Datadog or Dynatrace, and applying AI or automation to IT operations, ITSM or incident management are advantageous.