Devops Architect @ Alameda, CA , Need Locals Profiles Only

Job Title: Devops Architect

Location: Alameda, CA/Day1 (Onsite 5 days in a week)

Duration: 12 months

AWS (Compute, Storage and Data Analytics services), EKS, Python and/or R,

Primary Responsibilities :

We need a strong Devops architect with understanding of MLOps capabilities having experience in supporting and providing Infrastructure solutions to a Data Analytics platform.

1. Day to day hands on experience in the following AWS services
2. Compute:
3. EKS: Provide Operational / Solutioning on K8s
4. Lambda with AWS Event Bridge
5. AWS DB and Storage services:
6. S3 in use of medallion architecture
7. FSx Lustre , ONTAP, Windows

iii. RDS

1. AWS Data / Reporting services:
2. Airflow MWAA
3. AWS Glue catalog, Glue crawlers

iii. Redshift

1. Tableau
2. Data migration services
3. S3 Replicaton across accounts in Control tower setup
4. Data Synch from on prem to S3

iii. AWS Transfer Family

In addition to the above the expectation is to know the AWS foundational services such as VPCs, ASG, EC2, Secrets Manager, KMS,

1. Strong programming skills in Python and/or R
2. Solid understanding of CI/CD principles and experience with tools like GitHub Actions
3. Design and build scalable MLOps pipelines on AWS, automating model training, evaluation, deployment, and monitoring
4. Manage version control for models, data, and configurations, ensuring reproducibility and compliance

Secondary Responsibilities:

1. Automate retraining and rollback processes to maintain model accuracy and reliability over time
2. Document ML systems, workflows, and infrastructure for knowledge sharing and compliance
3. Support research and experimental design by enabling rapid prototyping and deployment of ML solutions
4. Collaborate with data scientists, software engineers, and DevOps teams to integrate ML models into operational workflows and applications