More jobs:
Delivery Project Lead
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-03-01
Listing for:
Mphasis
Full Time
position Listed on 2026-03-01
Job specializations:
-
IT/Tech
Cloud Computing, Database Administrator, Data Engineer
Job Description & How to Apply Below
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 No
SQL 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.
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:
- Amazon RDS (Postgre
SQL, MySQL, or SQL Server). - Apache Cassandra (including setup, scaling, repairs, and performance tuning).
- Document Databases (e.g., Mongo
DB, Amazon Document
DB, Couchbase). - Experience with cloud infrastructure (preferably AWS
), including EC2, S3, IAM, and VPC. - Proficiency in Linux/Unix environments and shell scripting.
- Strong SQL and No
SQL 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.
- Production Support & Monitoring
- Provide 24x7 production support for RDS (Postgre
SQL/MySQL/SQL Server), Cassandra, and Document databases. - Monitor database health, availability, and performance using AWS Cloud Watch, Prometheus, Grafana, or similar tools.
- Triage and resolve database‑related incidents and s in a timely manner.
- Perform root cause analysis and implement preventive measures for recurring issues.
- Database Maintenance & Administration
- Manage database configurations, backup, restore, and disaster recovery for all supported platforms.
- Perform software upgrades, security patches, and maintenance tasks with minimal downtime.
- Maintain cluster integrity and support scaling operations for Cassandra and Document
DB. - Performance Tuning & Optimization
- Tune queries, indexes, and configurations for optimal performance across RDS, Cassandra, and Document stores.
- Analyze workloads and suggest improvements to data access patterns and schema design.
- Security & Compliance
- Support audits, compliance checks, and data protection policies across environments.
- Implement and enforce database security best practices (encryption, IAM policies, VPCs, RBAC, etc.).
- Automation & CI/CD Integration
- Automate operational tasks and deployments using scripts (Bash, Python) and IaC tools like Terraform or Cloud Formation.
- Collaborate with Dev Ops teams to integrate database changes into CI/CD pipelines.
- Work closely with development, SRE, and infrastructure teams to support application rollouts and releases.
- Maintain detailed runbooks, SOPs, and incident post‑mortem documentation.
- Experience with AWS-native database services
:
Amazon Document
DB, Keyspaces (for Cassandra), or Dynamo
DB. - 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 Cloud Watch, Data Dog, ELK stack, or Prometheus/Grafana.
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