We are looking for a highly skilled and proactive Database Engineer to join our growing technology team. The ideal candidate should have strong expertise in AWS cloud databases, Aurora PostgreSQL, MongoDB, scripting, and DevOps automation tools. The role involves managing database environments, optimizing performance, implementing high availability solutions, supporting cloud infrastructure, and collaborating with Agile teams to ensure seamless database operations and deployments.
Responsibilities
The Database Engineer will be responsible for managing database systems, supporting cloud infrastructure, maintaining high availability solutions, and ensuring smooth database operations and deployments.
Work in an Agile/Scrum environment with global cross-functional teams while managing, monitoring, troubleshooting, and maintaining cloud and on-prem database systems.
Perform database performance tuning, optimization, refresh activities, and support application releases and database deployments.
Implement and maintain high availability solutions, replication strategies, clustering configurations, disaster recovery (DR) drills, backup, and restoration strategies.
Set up and maintain data replication across PostgreSQL/Aurora, Data Lake, SQL Server, Azure Synapse, and Redshift environments.
Collaborate with developers for query and stored procedure optimization, troubleshoot production issues, maintain technical documentation and SOPs, and follow database security, compliance, patching, and upgrade standards while supporting 24x7 availability and on-call rotations.
Requirements
4–6 years of experience
Strong expertise in AWS (RDS, Aurora, DynamoDB)
Experience with Aurora PostgreSQL (Global Database, Serverless Architecture)
Experience with MongoDB and Neo4j
Strong knowledge of Python and Shell Scripting
Experience with Terraform, Jenkins, Bitbucket, and GitHub
Strong troubleshooting and database performance tuning expertise
Excellent communication and collaboration skills
Perks & Benefits
Exposure to cloud databases, DevOps automation, and Agile environments.