Senior Database Administrator

Sr Database Administrator-Amazon RDS, Amazon Aurora

Location: Offshore/INDIA (All Mphasis Location)

Experience: 8 to 10 Yrs

Who are we looking for?

We are looking for 10+ years of experience Database Administrator (DBA) to provide production support for Amazon RDS, Amazon Aurora, Cassandra, and Document-based databases . This role will support the ongoing operations, performance, and availability of our cloud-based and NoSQL database environments. The ideal candidate will be adept at managing large-scale distributed systems, cloud-native services, and hybrid data platforms in a 24/7 production environment.

Technical Skills:

· Proven experience in Amazon RDS, Amazon Aurora, Cassandra, and Document-based databases Administrator or similar role in production support environments.

· 10+ years of experience in database administration and production support roles.

· Hands-on experience managing and supporting Apache Cassandra in a production environment.

· Strong knowledge of Cassandra internals, architecture, data modeling, replication, and consistency levels.

· Proficiency in troubleshooting cluster issues, performance tuning, and capacity planning.

· Strong hands-on experience with:

o Amazon RDS (PostgreSQL, MySQL, or SQL Server).

o Apache Cassandra (including setup, scaling, repairs, and performance tuning).

o Document Databases (e.g., MongoDB, Amazon DocumentDB, Couchbase).

· Experience with cloud infrastructure (preferably AWS ), including EC2, S3, IAM, and VPC.

· Proficiency in Linux/Unix environments and shell scripting.

· Strong SQL and NoSQL data modeling and query optimization skills.

· Familiarity with backup/recovery tools, high availability, and disaster recovery strategies.

· Strong troubleshooting and problem-solving skills.

· Excellent communication and collaboration abilities.

· Ability to work in a 24/7 support rotation and handle urgent production issues.

Responsibilities

· Production Support & Monitoring

o Provide 24x7 production support for RDS (PostgreSQL/MySQL/SQL Server), Cassandra, and Document databases.

o Monitor database health, availability, and performance using AWS CloudWatch, Prometheus, Grafana, or similar tools.

o Triage and resolve database-related incidents and s in a timely manner.

o Perform root cause analysis and implement preventive measures for recurring issues.

· Database Maintenance & Administration

o Manage database configurations, backup, restore, and disaster recovery for all supported platforms.

o Perform software upgrades, security patches, and maintenance tasks with minimal downtime.

o Maintain cluster integrity and support scaling operations for Cassandra and DocumentDB .

· Performance Tuning & Optimization

o Tune queries, indexes, and configurations for optimal performance across RDS, Cassandra, and Document stores.

o Analyze workloads and suggest improvements to data access patterns and schema design.

· Security & Compliance

o Support audits, compliance checks, and data protection policies across environments.

o Implement and enforce database security best practices (encryption, IAM policies, VPCs, RBAC, etc.).

· Automation & CI/CD Integration

o Automate operational tasks and deployments using scripts (Bash, Python) and IaC tools like Terraform or CloudFormation.

o Collaborate with DevOps teams to integrate database changes into CI/CD pipelines.

· Collaboration & Documentation

o Work closely with development, SRE, and infrastructure teams to support application rollouts and releases.

o Maintain detailed runbooks, SOPs, and incident post-mortem documentation.

Qualification:

· Experience with AWS-native database services : Amazon DocumentDB, Keyspaces (for Cassandra), or DynamoDB.

· Familiarity with container orchestration (e.g., Kubernetes) and cloud-native application patterns.

· Hands-on experience with automation tools like Ansible, Terraform, or Jenkins.

· Certifications such as AWS Certified Database – Specialty, or AWS Solutions Architect Associate.

· Exposure to monitoring/logging tools like CloudWatch, DataDog, ELK stack, or Prometheus/Grafana.

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