DevOps/ML Engineer AVP

What we’ll offer you

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy

• Best in class leave policy
• Gender neutral parental leaves
• 100% reimbursement under childcare assistance benefit (gender neutral)
• Sponsorship for Industry relevant certifications and education
• Employee Assistance Program for you and your family members
• Comprehensive Hospitalization Insurance for you and your dependents
• Accident and Term life Insurance
• Complementary Health screening for 35 yrs. and above

Your key responsibilities

• Design, implement, and maintain our team’s infrastructure and workflows on Google Cloud Platform, including GCP services such as Google Kubernetes Engine (GKE), Cloud Storage, Vertex AI, Anthos, Monitoring etc.
• Design, implement, and maintain our containerization and orchestration strategy using Docker and Kubernetes. Collaborate with development teams to ensure seamless integration of containerized applications into our production environment.
• Collaborate with software developers to integrate machine learning models and algorithms into our products, using PyTorch, TensorFlow or other machine learning frameworks.
• Develop and maintain CI/CD pipelines for our products, using tools such as GitHub and GitHub actions.
• Create and maintain Infrastructure as Code templates using Terraform.
• Ensure the reliability, scalability, and security of our infrastructure and products, using monitoring and logging tools such as Anthos Service Mesh (ASM), Google Cloud's operations (GCO) etc.
• Work closely with other teams, such as software development, data science, and product management, to identify and prioritize infrastructure and machine learning requirements.
• Stay up to date with the latest developments in Google Cloud Platform and machine learning and apply this knowledge to improve our products and processes.

Your skills and experience:

• Bachelor’s degree in computer science, Engineering, or a related field.
• At least 3 years of experience in a DevOps or SRE role, with a focus on Google Cloud Platform.
• Strong experience with infrastructure as code tools such as Terraform or Cloud Formation.
• Experience with containerization technologies such as Docker and container orchestration tools such as Kubernetes.
• Knowledge of machine learning frameworks such as TensorFlow or PyTorch.
• Experience with CI/CD pipelines and automated testing.
• Strong understanding of security and compliance best practices, including GCP security and compliance features.
• Excellent communication and collaboration skills, with the ability to work closely with cross-functional teams.

Preferred Qualifications:

• Master’s degree in computer science, Engineering, or a related field.
• Knowledge of cloud-native application development, including serverless computing and event-driven architecture.
• Experience with cloud cost optimization and resource management.
• Familiarity with agile software development methodologies and version control systems such as Git.