Data Engineer - DevOps

Responsibilities:

• Analyze and translate business requirements into scalable and resilient design.
• Own parts of the application and continuously improve them in an agile environment.
• Create high-quality, maintainable products and applications using best engineering practices.
• Pair with other developers and share design philosophy and goals across the team.
• Work in cross-functional teams (DevOps, Data, UX, Testing, etc. ).
• Build and manage fully automated build/test/deployment environments.
• Ensure high availability and provide quick turnaround to production issues.
• Contribute to the design of useful, usable, and desirable products in a team environment.
• Adapt to new programming languages, methodologies, platforms, and frameworks to support the business needs.

Requirements:

• Degree in computer science or a similar field.
• Four or more years of experience in architecting, designing, developing, and implementing cloud solutions on AWS and/or Azure platforms.
• Technologies: Python, Azure, AWS, MLflow, Kubernetes, Terraform, AWS SageMaker, Lambda, and Step Functions.
• Development experience with configuration management tools (Terraform, Ansible, CloudFormation).
• Developing and maintaining continuous integration and continuous deployment pipelinesJenkins Groovy scripts.
• Developing containerized solutions and orchestration (Docker, Kubernetes, ECS, ECR)
• Experience with serverless architecture, cloud computing, cloud-native applications, scalability, etc.
• Understanding of core cloud concepts like Infrastructure as Code, IaaS, PaaS, and SaaS.
• Relevant certification of Azure or AWS preferred.
• Troubleshooting and analytical skills.
• Knowledge of AI and ML technologies, as well as ML model management context
• Strong verbal and written communication: should be able to articulate concisely and clearly.