Cloud Data Store Engineer
| Company | Las Vegas Sands Corp |
|---|---|
| Location | Las Vegas, NV, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level, Senior |
Requirements
- At least 21 years of age.
- Proof of authorization to work in the United States.
- Educational background in information systems, informatics, statistics, computer science, or similar quantitative field.
- Must be able to obtain and maintain any certification or license, as required by law or policy.
- 3+ years operating highly available PostgreSQL database clusters in the cloud, preferably on Amazon RDS or Amazon Aurora.
- High level competency with containerization and deploying services to Kubernetes, preferably Amazon EKS.
- Experience operating infrastructure deployments with Terraform, particularly as they related to databases and messaging systems.
- Experience working with event streaming platforms such as Kafka, Kinesis, and/or NATS.
- Mastery of SQL.
- Competency programming in Python. Experience with GoLang is a plus.
- Strong understanding AWS security mechanisms, particularly as they relate to AWS data services like S3, RDS, Elasticache, MSK, Kinesis, and DynamoDB.
- Experience with GitHub, DataDog, and AWS.
- Ability to learn/use a wide variety of open-source technologies and tools without formal training.
- Experience working with an on-shore / off-shore model.
- Strong bias for action and ownership.
- Strong interpersonal skills with the ability to communicate effectively and interact appropriately with management, other Team Members and outside contacts of different backgrounds and levels of experience.
Responsibilities
- Work collaboratively with architects, engineers, and business stakeholders to implement technical solutions, mechanisms, and procedures that help the business operate efficiently.
- Design, build, and operationalize, and support highly available databases, NoSQL data stores, caching services, and messaging solutions that are secure, scalable, resilient, and performant in the AWS cloud.
- Provision, configure and maintain AWS data services and infrastructure, using infrastructure as code (Terraform, CDK, CloudFormation, et al).
- Take initiative to identify and seize opportunities to eliminate waste, redundancy, and complexity.
- Manage a queue of work requests to meet service level objectives and KPIs.
- Execute incident, problem and change management processes and reporting as needed.
- Perform job duties in a safe manner.
- Attend work as scheduled on a consistent and regular basis.
- Perform other related duties as assigned.
Preferred Qualifications
-
No preferred qualifications provided.