Key Experience:

• Expertise in Back End development techniques and best practices.
• Experience with Google Cloud Platform technologies.
• Proficient in using GCP services like DataFlow and Big Query.
• Programming Languages: Python for Back End development.
• Proficiency with Kubernetes for container orchestration.
• Strong architectural skills to design complex solutions.
• Ability to collaborate with various project stakeholders, including Product Managers and UI/UX designers.
• Experience in bridging the gap between Machine Learning and Data Science components.
• Knowledge of managing infrastructure, particularly within the Google Cloud ecosystem.
• Crafting innovative ways to deliver implementations that integrate Machine Learning and Data Science.

Responsibilities:

• Build out vital products that accelerate cloud-native application development and deployment for GCP
• Be a developer advocate - Practice and promote the use of Cloud Native approaches: API First, Microservice architectures, Google Cloud recommendations, security best practices etc.
• Be a developer advocate - Practice and promote the use of CI/CD automation with DevSecOps tooling for Tekton and more
• Develop and maintain Dev Enablement products like EcoBoost template, EcoBoost Tekton pipeline and EcoBoost Spring Boot bundle for Cloud Run
• Provide technical support for development issues raised by application teams
• Establish and detail cloud-native reference architecture, patterns & recommended practices
• Define and coordinate the implementation of required development tooling and DevOps techniques for Cloud applications targeting cloud environments
• Provide architectural and design mentorship to application projects and teams
• Keep abreast of evolving developments in the cloud-native space; adopt key practices to continuously improve cloud-native capabilities
• Conduct proof-of-concepts to validate the applicability of innovative approaches and modern technologies
• Follow Agile methodology and PDO model in daily job responsibilities