Database Engineer - US

Solvd

1d • Remote

About The Position

Solvd Inc. is seeking multiple Database Engineers to implement replication, failover, and operational tooling for a Tier-1 US payments platform migration. This platform is moving from a single AWS region to a multi-region architecture in three phases, with the data layer spanning Aurora MySQL, Cassandra, ElastiCache (Redis / Valkey), DynamoDB, DocumentDB, OpenSearch, and Neptune. The Database Engineers will work under the Principal Database Architect and collaborate with the client's data and SRE teams to ensure a successful migration and operational readiness.

Requirements

• 5+ years in production database engineering on AWS, with hands-on responsibility for financial-services workloads (payments, banking, brokerage, or comparable).
• Deep production experience with at least two of: Aurora MySQL, Cassandra, DynamoDB, ElastiCache (Redis or Valkey), DocumentDB, Neptune. Working knowledge of at least two more.
• Practical experience with cross-region replication in production, including configuration and handling failure modes.
• Strong Terraform or AWS CDK skills, including building multi-region modules.
• Comfort with CDC tooling (DMS, DDB Streams, Kafka Connect, or Debezium) and their operational challenges.
• Proficiency in Linux, networking fundamentals (VPC, Transit Gateway, peering, DNS), and IAM / KMS.
• Solid written communication skills and ability to operate in a regulated client environment.

Nice To Haves

• Cassandra multi-DC operations experience at scale.
• AWS MSK or Kafka MirrorMaker 2 experience for cross-region event replication.
• Experience with Datadog Database Monitoring and custom CloudWatch metrics.
• AWS Database Specialty or Solutions Architect Associate / Professional certifications.

Responsibilities

• Implement and operate cross-region replication for Aurora MySQL Global Database, DynamoDB Global Tables, DocumentDB Global Clusters, Cassandra multi-DC topology, ElastiCache / MemoryDB / Valkey global datastore, Neptune Global Database, or OpenSearch cross-cluster replication.
• Codify infrastructure using Terraform or AWS CDK.
• Build the observability layer for replication health, including lag metrics, consistency checks, alarm thresholds, and runbook automation, primarily using Datadog and CloudWatch.
• Author and execute failover and failback runbooks, conduct game-days using AWS Fault Injection Service, and measure/report against RTO and RPO targets.
• Implement KMS cross-account replication, IAM service principals for replication roles, and manage secrets and parameters for region-local dependencies.
• Support data extraction from monoliths into microservices by building CDC pipelines (DMS, DynamoDB Streams, Kafka Connect, Debezium), validating data integrity, and managing cutover sequences.
• Collaborate with application engineers on connection-string abstraction, retry and idempotency patterns, and graceful degradation during region failover.
• Write design documents and runbooks for the client team's handover.

Benefits

• Shape real-world AI-driven projects across key industries.
• Work with clients from startup innovation to enterprise transformation.
• Be part of a global team with equal opportunities for collaboration across continents and cultures.
• Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 101-250 employees