Building and setting up new development tools and infrastructure
Working on ways to automate and improve development and release processes with various automation tools and infrastructure.
Selecting and deploying appropriate CI/CD tools; monitoring and measuring customer experience and KPIs
Ensuring that systems are safe and secure against cybersecurity threats.
Working with AI Engineers, Machine Learning Engineers, Python backend and full stack engineers to ensure that development follows established processes and works as intended.

QUALIFICATION

B.E/B.Tech in Computer Sciences, IT, Engineering

EXPERIENCE

Minimum 5 years of experience as DevOps Engineer.
Experience in building CI/CD pipelines, Scripting and Automation Kubernetes.
Experience with ML pipelines and Kubeflow.
Experience working with NoSQL DB and DB persistence.
Good understanding of microservices and API management
Experience working with Cloud
Experience with various monitoring tools like Splunk, DataDog
Proficient with bitbucket/git workflows
Experience in the following languages is a requirement: Python, JSON, YAML
Experience working with Linux and Unix

SKILLS AND COMPETENCIES

Built strong familiarity with container management and concepts: Docker, Kubernetes and similar tooling
Ability to use a wide variety of open-source technologies and tools for Continuous Integration and Delivery
Working knowledge of various tools, open-source technologies, and cloud services

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