Senior AI Platform Engineer

Job Purpose and Impact

• The Senior Professional, Software Engineering job designs, develops and maintains software applications and systems. With minimal supervision, this job collaborates with cross functional teams to define, design and implement new software features to meet user needs and business goals, and upgrade existing software to improve performance and functionality through writing clean, efficient and scalable code and troubleshooting and debugging complex issues. This job also participates in code reviews to maintain high code quality and share knowledge with software engineering team members.

Key Accountabilities

• SOFTWARE DEVELOPMENT: Designs and develops high quality software solutions by writing clean, maintainable and efficient codes.
• AUTOMATION: Leads the application of internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.
• COLLABORATION: Partners with cross functional team of product managers, designers and different engineers to gather complex requirements and deliver solutions that meet business needs.
• TESTING & DEBUGGING: Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.
• CONTINUOUS IMPROVEMENT: Suggests options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.
• DOCUMENTATION: Builds and maintains comprehensive documentation for complex software applications, deployment processes and system configurations.
• TECHNICAL SUPPORT: Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution.

Qualifications

• Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
• Builds, configures, and deploys complex automation workflows and pipelines.
• Enable self-service features for automating, testing, rollout, and user acceptance of agents.
• Build and govern standard templates and frameworks for consistent, scalable automation.
• Platform integrations, security, compliance and monitoring.