Title: Backend Engineer
Job Type: Full-Time
Location: Remote
Company Description:
Mechanized AI is at the forefront of AI innovation, leveraging cutting-edge technology to transform legacy systems into modern, efficient, and scalable solutions. We work with enterprise clients to breathe life into their existing software, ensuring that they can meet the demands of today’s fast-paced, digital landscape. Our team thrives on solving complex challenges and delivering innovative solutions. As an organization, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning.
Job Summary:
We are looking for a Senior Cloud Backend Engineer to help us create AI products in different clouds (Azure, GCP, AWS)
The ideal individual will be a cloud data focused resource with heavy python, cloud, data.
Required Skills & Experience:
- 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 & 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 (autho0, cognito), SQL & NoSQL on the cloud, network config (NLBs), logging and data streaming.
- Experience with creating multi-tenant and single-tenant platform tools.
- Dealt with building products via ECS, Flask, Python.
- Knowledge of DevOps best practices.
- Bachelors or Masters 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.
Great to have Skills & Experience:
- Experience with data products on the cloud that manage TBs of data & 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 & meshes.
- Experience creating data pipelines on the cloud: :Glue, EMR, serverless EMR, step functions, kafka/kinesis, storage, and equivalents.