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Job Description
- Req#: 25-35593
- Designing, Configuring, deploying, managing and automating cloud infrastructure (S3, IAM, Sagemaker, DynamoDB, EC2, VPC, Lambda, CloudWatch, Databricks, Glue, MLops and Athena) that is secure and scalable on AWS to be used by the data science team and extended team.
- Experience in AWS system and network architecture design, with specific focus on AWS Sagemaker and AWS ECS
- Monitoring and ensure the integrity of data pipelines.
- Automate Cloud deployments using Terraform.
- Administering the deployment, management, and monitoring of applications deployed on AWS via CI/CD and/or containers.
- Create architecture documentation.
- Interact with multiple client stakeholders, cyber security, network, VDI teams and create approved solutions.
- Ensuring the compliance of the data science operations on AWS.
- Monitoring usage, cost, and implement optimizations of a variety of AWS resources.
- Experience with GITHUB actions pipeline and Perform code promotions through change management
- Deploy and manage AWS Serverless application running on API Gateway and LAMBDA
- AWS: S3, DynamoDB, EC2, VPC, Lambda, CloudWatch etc.
- Sagemaker
- Databricks, Glue and Athena
- MLOPS
- Devops pipeline creation, deployment
- Automation: Terraform and Python
- Type Script
- Docker
- Bachelors degree with 14+ years of experience : 8+ years of experience in designing, building, and maintaining AWS Cloud infrastructure and 6+ years of experience in Bigdata administration and/or infrastructure administration.
- Experience in automating AWS infrastructure using terraform and Python is must.
- Experience in database technologies is a plus.
- Knowledge in all aspects of DevOps (source control, continuous integration, deployments, etc.)
- Proficiency in security implementation best practices on IAM policies, KMS encryption, Secrets Management, Network Security Groups etc.
- Experience working in the SCRUM Environment.
Job Description:
Client is seeking a AWS Cloud engineer to help configure, deploy and operationalize platforms for data science on AWS. As models, apps, and data pipelines are created and operationalized, the data science team requires engineers with understanding of cloud native technology to develop, manage, automate, and facilitate the deployment and operational capabilities of the data science team. AWS Cloud engineer joins a growing competency within the data science team to operationalize a variety of analytics products on cloud platforms.
Responsibilities:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.About the company
Our Talent Your Results - This is the premise behind US Tech Solutions. Our flexible engagement model offers right-fit talent on-demand - when, where and how you need it, so you can achieve your business objectives. We offer contingent, contract-to-hire or direct staffing services. At USTECH, we understand how critical talent is to every organization, as well as how the world of work and the workplace is changing. We offer the most effective means to help you acquire, manage and optimize talent. USTECH was founded in 2000 by Manoj Agarwal. Today, we are a global firm offering talent solutions to 150 customers including 20% of Fortune 500 across Financial Services, Healthcare, Life Sciences, Aerospace, Energy, Retail, Telecom, Technology, Manufacturing, and Engineering.