Fulltime SFDC Devops architect with ML Operations
Job Description
Job Description
Job Title:& SFDC Devops architect with ML Operations
Location:& San Francisco, CA
Job Type:& FTE
Job Description:
Experience Range
12 years and above
Primary (Must have skills)* - To be Screened by TA Team
AWS (Compute, Storage and& Data Analytics services), EKS, Python and/or R,
Job Description of Role* (RNR) - To be Evaluated by Technical Panel (Define it to give more clarity)
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 –
a. Compute:
i. EKS: Provide Operational / Solutioning on K8s
ii. Lambda with AWS Event Bridge
b. AWS DB and Storage services:
i. S3 in use of medallion architecture
ii. FSx Lustre , ONTAP, Windows
iii. RDS
c. AWS Data / Reporting services:
i. Airflow MWAA
ii. AWS Glue catalog, Glue crawlers
iii. Redshift
iv. Tableau
d. Data migration services –
i. S3 Replicaton across accounts in Control tower setup
ii. 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,
2. Strong programming skills in Python and/or R
3. Solid understanding of CI/CD principles and experience with tools like GitHub Actions
4. Design and build scalable MLOps pipelines on AWS, automating model training, evaluation, deployment, and monitoring
5. 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
Soft skills/other skills - To be Evaluated by Hiring Manager (To define how this will be evaluated)
Communication Skills:
Communicate effectively with internal and customer stakeholders
Communication approach: verbal, emails and instant messages
Interpersonal Skills:
Strong interpersonal skills to build and maintain productive relationships with team members
Provide constructive feedback during code reviews and be open to receiving feedback on your own code.
Problem-Solving and Analytical Thinking:
Capability to troubleshoot and resolve issues efficiently.
Analytical mindset
Task/ Work Updates
Prior experience in working on Agile/Scrum projects with exposure to tools like Jira
Provides regular updates, proactive and due diligent to carry out responsibilities
Expected Outcome
We need a strong Devops architect with& understanding of MLOps capabilities having experience in supporting and providing Infrastructure solutions to a Data Analytics platform.
Secondary Skills to be planned Post Hiring - Training Plan
SQL, Spark, data validation pipelines