Job Description

Cloud DB SRE Engineer/DBA

• As a Cloud DB SRE Engineer / DBA, you will be the architect of our data backbone. Your mission is to ensure the reliability, scalability, and performance of our database systems that handle 1TB+ of daily log data and support our On-premise LLM-based AIOps initiatives.

• You will transition from traditional RDBMS management to managing high-performance Vector Databases and Time-Series Databases in a global, multi-region cloud environment.

• You'll be part of a global team of DevOps/SREs that work together and support each other to provide the best in quality of services.

• You are required to work from Harman office at Yatap or sometimes in Suwon Samsung Electronics, aligning with our key engineering and operations stakeholders.

Long Description

What You Will Do

• Next-Gen Data Infrastructure: Design and operate scalable database architectures (SQL, NoSQL, and Vector DBs) to support real-time AIOps and Retrieval-Augmented Generation (RAG) workflows.

• Performance Optimization at Scale**:** Fine-tune database performance to ingest and query massive log streams with minimal latency, ensuring data is ready for AI-driven analysis.

• Global Database Operations: Manage and automate database lifecycles across multi-region cloud infrastructures, collaborating with our globally distributed SRE peers.

• Reliability & SRE Practice: Implement robust backup, disaster recovery (DR), and proactive monitoring (SLI/SLO) for mission-critical data stores.

• DevOps Integration: Enable seamless DB-as-a-Service (DBaaS) for application teams by integrating database automation into our CI/CD pipelines.

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What You Need to Be Successful

• Database Expertise: Strong proficiency in managing Open-source DBs (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) in cloud environments.

• AIOps Readiness: Experience with or a strong interest in Vector Databases (e.g., Milvus, Pinecone, or pgvector) for LLM context storage.

• Infrastructure as Code (IaC): Solid experience with Terraform, Ansible, or Kubernetes Operators to manage database infrastructure.

• Cloud Engineering Skills: Deep understanding of cloud-native storage solutions and networking in a global scale.

• Understanding and operational experience with AWS RDS, DynamoDB.

• Experience with monitoring and logging tools (e.g., Data Dog, Prometheus, ELK Stack).

• Experience in managing and processing large-scale data and using data migration tools.

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What Makes You Eligible

• A Bachelor's degree in CS or a related field or equivalent experience in Cloud Technologies.

• Overall, more than 5 to 9 years of experience of DB engineer in operating RDBMS and plus at least one NoSQL environment such as DynamoDB, MongoDB, Redis cluster

• Minimum 2 year of experience in using AWS is mandatory and required at least one other public cloud environment such as Azure, GCP.

• Experience in designing and optimizing database schemas for large-scale, high-traffic environments.

• Proficiency in developing automation scripts for database operations.

• Understanding and experience in cloud infrastructure environments, DevOps, and SRE methodologies.

Bonus Points if You Have

• Problem solving and communication skills with the ability to collaborate effectively in cross functional team environment

• Self-directed and proactive process improvement with capabilities for organization & time management

• Understanding data governance and data quality management

• Good at Airflow(ETL) and proactive troubleshooting

• Database transition experience between heterogeneous models