BizTek People
Job Posting
Job Description Can you give a high-level overview of your team size, roles, its initiatives/deliverables, and any tool/technologies specific to your team/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 What would "a day in the life" of this role look like?: Setup guideline/structure around AWS/Snowflake well architected pillars around cost optimization, reliability, performance, security, operational excellence. Take care of patching, upgrade, vulnerability mitigations. Support DevOps and MLOps automation and deployments in the cloud. Respond to ad-hoc requests for AWS and snowflake cloud administration. What interaction level with this role have the team members and hiring manager? Work closely with the teams on Snowflake and AWS cloud administration and support. What would you say is the top priority for the worker over the first few weeks/months?: Vulnerability mitigations, DevOps/MLOps automation. What do you foresee being the biggest challenge in this role? Getting up to speed quickly to deliver outcomes. Key Responsibilities 1. 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) Requirements Seeking a skilled AWS Cloud and Snowflake Administrator with additional expertise in MLOps and automation. The ideal candidate will have a strong background in cloud infrastructure, data warehousing, machine learning operations, and automation practices. How many years of experience are you looking for? 5-7 years' experience Is utilities experience required? (Y/N) Nice to have, not mandatory Proven experience as an AWS Cloud Administrator and Snowflake Administrator In-depth knowledge of AWS services, especially IAM, EC2, S3, RDS, and SageMaker Strong understanding of Snowflake architecture and administration Expertise in AWS security best practices and compliance standards Experience in vulnerability management and patching in cloud environments Proficiency in MLOps practices and tools (e.g., MLflow, Kubeflow, Amazon SageMaker) Strong automation skills using scripting languages (e.g., Python, Bash) and IaC tools (e.g., Terraform, CloudFormation) Experience with CI/CD pipelines and version control systems (e.g., Git, Jenkins, GitLab CI) Excellent problem-solving and critical thinking skills Strong communication and collaboration abilities Relevant certifications (e.g., AWS Certified Solutions Architect, Snowflake SnowPro Core) Familiarity with containerization technologies (e.g., Docker, Kubernetes) Preferred Experience with monitoring and observability tools Preferred Education: Bachelor's degree Certification Requirements (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)
Job Description Can you give a high-level overview of your team size, roles, its initiatives/deliverables, and any tool/technologies specific to your team/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 What would "a day in the life" of this role look like?: Setup guideline/structure around AWS/Snowflake well architected pillars around cost optimization, reliability, performance, security, operational excellence. Take care of patching, upgrade, vulnerability mitigations. Support DevOps and MLOps automation and deployments in the cloud. Respond to ad-hoc requests for AWS and snowflake cloud administration. What interaction level with this role have the team members and hiring manager? Work closely with the teams on Snowflake and AWS cloud administration and support. What would you say is the top priority for the worker over the first few weeks/months?: Vulnerability mitigations, DevOps/MLOps automation. What do you foresee being the biggest challenge in this role? Getting up to speed quickly to deliver outcomes. Key Responsibilities 1. 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) Requirements Seeking a skilled AWS Cloud and Snowflake Administrator with additional expertise in MLOps and automation. The ideal candidate will have a strong background in cloud infrastructure, data warehousing, machine learning operations, and automation practices. How many years of experience are you looking for? 5-7 years' experience Is utilities experience required? (Y/N) Nice to have, not mandatory Proven experience as an AWS Cloud Administrator and Snowflake Administrator In-depth knowledge of AWS services, especially IAM, EC2, S3, RDS, and SageMaker Strong understanding of Snowflake architecture and administration Expertise in AWS security best practices and compliance standards Experience in vulnerability management and patching in cloud environments Proficiency in MLOps practices and tools (e.g., MLflow, Kubeflow, Amazon SageMaker) Strong automation skills using scripting languages (e.g., Python, Bash) and IaC tools (e.g., Terraform, CloudFormation) Experience with CI/CD pipelines and version control systems (e.g., Git, Jenkins, GitLab CI) Excellent problem-solving and critical thinking skills Strong communication and collaboration abilities Relevant certifications (e.g., AWS Certified Solutions Architect, Snowflake SnowPro Core) Familiarity with containerization technologies (e.g., Docker, Kubernetes) Preferred Experience with monitoring and observability tools Preferred Education: Bachelor's degree Certification Requirements (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)