Overview
Skills
Job Details
Position: Cloud Database Engineer Senior
Location: Hybrid - Onsite Tuesday through Thursday - Mclean VA or Plano, TX
Assignment Type: CTH
Must Have Qualifications: 7+ years with preference of 10+ dealing with database backgrounds, Cloud database -AWS Lambda, CTF , Automation, Python , Ansible, PowerShell
Candidate Vetting Questions:
1) How many years of hands- on experience do you have in Database Engineering roles, please tell us about your specific contributions in your most recent project?
2) How many years of hands-on cloud database design and automation do you have?
3) Have you worked on aurora provisioning automation using CFT /Terraform? If so, please tell us about your most recent project?
4) Have you automated Mongo Atlas provisioning using CFT/Terraform? If so, please tell us about your contribution on your most recent project?
A successful candidate will have the following characteristics:
Strong experience in AWS Cloud Automation responsible for designing, implementing, and managing cloud-based database systems while leveraging automation, scalability, and reliability of the systems.
Key responsibilities:
- Database management: Design, implement, and maintain Cloud based DBs like AWS Aurora, MongoDB Atlas, Document DB, Neptune, Dynamo DB, Elastic Cache using AWS services
- Cloud Automation: Develop automation, workflows for provisioning, configuration, backups, patching, and scaling using tools like AWS CloudFormation, AWS Lambda, Step Functions, Python etc.
- Infrastructure as Code (IaC): Use IaC tools (AWS CloudFormation, Terraform, Rafay) to manage infrastructure as Code.
- Database Performance Tuning: Expertise and depth in one or more DB technologies specifically on performance tuning aspects of Database and SQL queries
- Strong Database Architecture and Engineering skills
Additional Cloud Skills (Preferrable)
- Knowledge of authentication, authorization of services via OAuth.
- Experience in understanding & implementation Cloud Database Security - IAM & Managed AD
- Minimum 7 years of experience in Database Engineering and Architecture including supporting production environments
- 7+ years of related industry experience in an enterprise environment
- Demonstrable experience with
- Postgres Aurora, MongoDB and emerging database technologies like Graph DB, Vector DB
- AWS Cloud Engineering/operations
- Knowledge of Kubernetes, Jenkins, Git and Artifactory
- Scripting languages (e.g., Groovy / Perl / Python / Ruby)
- Excellent verbal and written communication skills.
- Self-motivated, driven, and creative individual
- Education Bachelor’s degree in computer science, Information Technology, or equivalent work experience(required)