Job DescriptionJOB DESCRIPTION- Can yougive a high-level overview of your team size, roles, itsinitiatives/deliverables, and any tool/technologies specific to yourteam/department/project they will be supporting: Team Size -Administrative team onsite and offshore (around 5) interacting with 25+team members across different roles including.
- BA,Data Engineers, API engineers, UI engineers, Product owners
- Tools/Technology: Cloud platform (AWS, Snowflake), DevOps
- Whatwould "a day in the life" of this role look like?: Setupguideline/structure around AWS/Snowflake well architected pillars aroundcost optimization, reliability, performance, security, operationalexcellence. Take care of patching, upgrade, vulnerability mitigations.Support DevOps and MLOps automation and deployments in the cloud. Respondto ad-hoc requests for AWS and snowflake cloud administration.
- Whatinteraction level with this role have the team members and hiring manager?Work closely with the teams on Snowflake and AWS cloud administration andsupport.
- Whatwould you say is the top priority for the worker over the first fewweeks/months?: Vulnerability mitigations, DevOps/MLOps automation.
- What doyou foresee being the biggest challenge in this role? Getting up to speedquickly to deliver outcomes.
KEY RESPONSIBILITIES1. Manage and optimize AWS cloud infrastructure and Snowflake data warehouse environments
2. Implement and maintain AWS IAM security policies and best practices
3. Conduct regular vulnerability assessments and manage patching processes
4. Design and implement MLOps pipelines for efficient model development, deployment, and monitoring
5. Develop automation scripts and workflows to streamline cloud operations and data processes
6. Troubleshoot and resolve complex issues in AWS, Snowflake, and ML environments
7. Collaborate with data scientists and engineers to improve ML model deployment and performance
8. Develop and implement disaster recovery and business continuity plans
Required Skills and Qualifications:
1. Proven experience as an AWS Cloud Administrator and Snowflake Administrator
2. In-depth knowledge of AWS services, especially IAM, EC2, S3, RDS, and SageMaker
3. Strong understanding of Snowflake architecture and administration
4. Expertise in AWS security best practices and compliance standards
5. Experience in vulnerability management and patching in cloud environments
6. Proficiency in MLOps practices and tools (e.g., MLflow, Kubeflow, Amazon SageMaker)
7. Strong automation skills using scripting languages (e.g., Python, Bash) and IaC tools (e.g., Terraform, CloudFormation)
8. Experience with CI/CD pipelines and version control systems (e.g., Git, Jenkins, GitLab CI)
9. Excellent problem-solving and critical thinking skills
10. Strong communication and collaboration abilities
11. Relevant certifications (e.g., AWS Certified Solutions Architect, Snowflake SnowPro Core)
RequirementsREQUIREMENTS- Seeking a skilled AWS Cloud and SnowflakeAdministrator with additional expertise in MLOps and automation.
- Theideal candidate will have a strong background in cloud infrastructure,data warehousing, machine learning operations, and automation practices.
- Howmany years of experience are you looking for? 5-7 years' experience
- Isutilities experience required? (Y/N) Nice to have, not mandatory
- Provenexperience as an AWS Cloud Administrator and Snowflake Administrator
- In-depthknowledge of AWS services, especially IAM, EC2, S3, RDS, and SageMaker
- Strongunderstanding of Snowflake architecture and administration
- Expertisein AWS security best practices and compliance standards
- Experiencein vulnerability management and patching in cloud environments
- Proficiencyin MLOps practices and tools (e.g., MLflow, Kubeflow, Amazon SageMaker)
- Strongautomation skills using scripting languages (e.g., Python, Bash) and IaCtools (e.g., Terraform, CloudFormation)
- Experiencewith CI/CD pipelines and version control systems (e.g., Git, Jenkins,GitLab CI)
- Excellentproblem-solving and critical thinking skills
- Strongcommunication and collaboration abilities
- Relevantcertifications (e.g., AWS Certified Solutions Architect, Snowflake SnowProCore)
- Familiaritywith containerization technologies (e.g., Docker, Kubernetes) - Preferred
- Experiencewith monitoring and observability tools - Preferred
- Education:Bachelor's degree
- CertificationRequirements (Any Preferences): AWS Certified Solutions Architect,Snowflake certifications- nice to have- not required,
TOP 3 MUST-HAVES (HARD AND/OR SOFT SKILLS):1. AWS and Snowflake administration skills
2. Security and Vulnerabilities management
3. Critical thinking and problem-solving skills
TOP 3 NICE-TO-HAVES (HARD AND/OR SOFT SKILLS)1.Experience with CI/CD pipelines and version control systems (e.g., Git, Jenkins, GitLab CI)
2. In-depth knowledge of AWS services, especially IAM, EC2, S3, RDS, and SageMaker
3. DevOps/ML Ops Automation (Terraform, Cloudformation)