Global IT Cloud Database Engineer – NoSQL, Graph, Automation
Job location
Atlanta, United States / Boston, United States
Type
Full Time
Responsibilities:
Lead the design, deployment, and management of cloud-native database solutions (NoSQL, Graph, Vector, etc.) across cloud platforms (AWS, Azure, GCP).
Build and maintain automated infrastructure pipelines using Terraform and integrate them with CI/CD tools such as GitHub Actions, Terraform Cloud (TFC), and others.
Develop and maintain database-as-code scripts to support multi-environment setups (dev, staging, production).
Collaborate with product and engineering teams to deliver scalable and efficient database products tailored to specific customer needs.
Implement monitoring and alerting mechanisms for database performance, availability, and scalability (Datadog).
Maintain best practices for database reliability, data migration, backup, and recovery.
Drive improvements in observability and automated infrastructure capabilities to enhance operational efficiency, reliability and security.
Oversee the development and optimization of CI/CD pipelines, ensuring efficiency and reliability.
Ensure the DevOps roadmap aligns the team’s goals to company OKR initiatives, while prioritizing tech debt reduction.
Coordinate with Engineering Managers and stakeholders on cross-team initiatives to ensure alignment and collaboration.
Champion a consistent DevOps approach across production, staging, QA, and development environments to improve software quality and stability.
Collaborate with IT and Cybersecurity teams to uphold infrastructure security and compliance standards.
Act as a thought leader in selecting appropriate database technologies and infrastructure strategies.
Mentor and support fellow engineers in cloud-native database technologies and automation tools.
Requirements & Skills:
4+ years’ experience in infrastructure automation using Terraform, Terraform Cloud (TFC), and integration with CI/CD pipelines using GitHub Actions, GitLab, or Jenkins.
Proficiency in database engineering, with a focus on cloud-native database technologies (NoSQL, Graph, Vector, etc.).
Strong experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
Familiarity with Agile Sprint methodology and DevOps systems development life cycle.
Ability to work closely and collaboratively with multiple teams and engineering leads.
Strong problem-solving skills and ability to approach problems from multiple viewpoints.
Knowledge of networking and security best practices in cloud environments.
Solid understanding of DevOps principles and infrastructure as code (IaC) practices.
Experience with performance tuning, indexing, partitioning, and sharding for distributed database systems.
Hands-on experience with Cloud databases and Python for automation and scripting.
Excellent problem-solving and troubleshooting skills in a cloud environment.
Strong communication skills, with the ability to collaborate and communicate with teams and clients across geographies.
Knowledge of AI/ML databases and vector search engines for advanced use cases.
Certifications in cloud platforms (AWS Certified Solutions Architect, GCP Professional Data Engineer, etc.).
Experience with data governance and compliance in a cloud environment.
