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Delivery Project Lead

Job in New York, New York County, New York, 10261, USA
Listing for: Mphasis
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Cloud Computing, Database Administrator, Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: New York

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.

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:
  • 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.
Responsibilities
  • 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.
Qualification:
  • 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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