[Hiring] DynamoDB Engineer @EPAM

Role Description

We are seeking an experienced DynamoDB Engineer to spearhead a critical multi-region migration initiative and establish robust disaster recovery capabilities for our hyperscale NoSQL workloads. In this role, you will:

• Design and execute the migration of DynamoDB tables across AWS regions.
• Implement Global Tables for business continuity.
• Lay the architectural foundation for an active-active configuration.
• Work closely with application teams.
• Author production-grade infrastructure as code.
• Ensure operational excellence through comprehensive monitoring and runbooks.

Responsibilities

• Multi-Region DynamoDB Migration & DR Setup:
  • Design and execute the migration of DynamoDB tables from us-east-1 to us-east-2.
  • Implement Global Tables for an active-passive disaster recovery configuration, laying the groundwork for active-active migration by late 2027.
• Data Modeling & Schema Design:
  • Analyze existing table structures, partition keys, sort keys, and access patterns.
  • Optimize data models for multi-region replication to maintain sub-millisecond query performance and minimize cross-region latency.
• Infrastructure as Code (IaC) Implementation:
  • Author and maintain production-grade Terraform configurations and AWS CDK (TypeScript) modules for DynamoDB resources, including tables, GSIs, capacity settings, auto-scaling, PITR, and backup vaults across both regions.
• Capacity Planning & Auto-Scaling:
  • Design and implement auto-scaling strategies for tables and Global Secondary Indexes (GSIs).
  • Model capacity requirements for cross-region replication traffic, balancing cost efficiency with strict performance SLAs during normal operations and DR scenarios.
• Backup, Recovery & Business Continuity:
  • Implement and validate Point-in-Time Recovery (PITR), on-demand backups, and cross-region backup strategies.
  • Create and test operational runbooks for regional failovers, RTO/RPO validation, and data consistency checks.
• Operational Readiness & Monitoring:
  • Establish comprehensive CloudWatch alarms for replication lag, throttling events, consumed capacity, and GSI health.
  • Participate in GameDay exercises and DR drills.
  • Document operational procedures for application teams.

Qualifications

• Terraform (Mandatory): Production-level authoring of DynamoDB resources, modules, and state management.
• AWS CDK + TypeScript (Mandatory Baseline): Familiarity with or capability to align with the program's primary IaC standard.
• Amazon DynamoDB: Deep, hands-on expertise in advanced data modeling, partition/sort key design, and access pattern optimization for hyper-scale NoSQL workloads.
• Global Tables: Extensive experience setting up DynamoDB Global Tables, handling cross-region replication, implementing conflict resolution, and managing multi-region consistency models.
• GSIs & LSIs: Global and Local Secondary Index design, capacity planning, backfill strategies, and projection optimization.
• Capacity & Auto-Scaling: Deep understanding of on-demand vs. provisioned capacity, auto-scaling policies, target tracking, and cost optimization for massive-scale tables.
• Point-in-Time Recovery (PITR): Robust backup strategies, restore validation, cross-region backup vaults, and recovery testing.
• NoSQL Database Administration: Table maintenance, performance tuning, query optimization, and hot partition identification/mitigation.

Nice to have

• DynamoDB Streams: Event-driven architectures, Lambda triggers, and Change Data Capture (CDC) patterns.
• AWS Backup: Organization-level policies, cross-account, and cross-region vault management for DynamoDB.
• Python: Adjacent tooling and automation scripting within the AWS/DynamoDB ecosystem.
• Adjacent Datastores: Experience with Aurora MySQL or DocumentDB migration workstreams.
• Cost Modeling: DynamoDB pricing optimization, Storage Lens, request costs, and cross-region data transfer analytics.
• CloudWatch & X-Ray: Deep observability, distributed tracing, and performance analysis for DynamoDB operations.
• DR Architecture: Active/passive topologies, multi-region design patterns, and handling replica lag as an operational constraint.
• Enterprise Change Control: Navigating strict moratoriums, CAB processes, and production exception handling in enterprise environments.