Cloud Data Engineer
hace 2 semanas
Job Title: Senior Cloud Backend Engineer
Job Summary:
We are seeking a highly skilled Senior Cloud Backend Engineer to join our team at Mechanized AI Inc. As a key member of our engineering team, you will be responsible for designing and building cloud architectures for data-centric products end-to-end. Your expertise in Python, Flask, and cloud platforms such as Azure, GCP, and AWS will be instrumental in delivering innovative solutions.
Key Responsibilities:
- Design and implement cloud architectures for data-centric products
- Develop and deploy scalable and efficient cloud-based solutions
- Collaborate with cross-functional teams to ensure seamless integration and deployment
- Stay up-to-date with the latest cloud technologies and best practices
Requirements:
- 4+ years of industry experience as a Cloud Data Engineer/Backend Engineer
- Deep experience in Python (4+ years) and Flask (2+ years)
- Deep Cloud experience and experience designing & building cloud architectures for data-centric products end-to-end (Azure, GCP, or AWS)
- Experience with Infrastructure as Code: Pulumi, Terraform (at least 2 years)
- Experience with authentication best practices (Auth0, Cognito), SQL & NoSQL on the cloud, network configuration (NLBs), logging, and data streaming
- Experience with creating multi-tenant and single-tenant platform tools
- Experience building products via ECS, Flask, and Python
- Knowledge of DevOps best practices
- Bachelor's or Master's in Computer Science
- Experience in Machine Learning or Deep Learning projects that have lived in production
- DevOps pipeline experience from scratch, using CodePipeline or equivalents
- Experience engaging and interacting deeply with front-end team members
Preferred Qualifications:
- Experience with data products on the cloud that manage TBs of data and millions of pipeline deployments per day
- Pyspark (1+ year)
- Security experience
- AWS Solution Architect Associate or higher (ideal)
- AWS Data Certificates
- Some experience with front end, ideally React
- Experience with designing & implementing large dataset architectures; streaming, batch datasets, data lakes, and meshes
- Experience creating data pipelines on the cloud: Glue, EMR, serverless EMR, step functions, Kafka/Kinesis, storage, and equivalents
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