[Hiring] Database Engineer @Solvd

Role Description

We're hiring multiple Database Engineers to implement the per-engine replication, failover, and operational tooling for a Tier-1 US payments platform migration from a single AWS region to a multi-region architecture.

• Implement and operate cross-region replication for one or more of:
  • Aurora MySQL Global Database
  • DynamoDB Global Tables
  • DocumentDB Global Clusters
  • Cassandra multi-DC topology
  • ElastiCache / MemoryDB / Valkey global datastore
  • Neptune Global Database
  • OpenSearch cross-cluster replication
• Codify everything in Terraform (or CDK).
• Build the observability layer for replication health:
  • Lag metrics
  • Consistency checks
  • Alarm thresholds
  • Runbook automation
• Author and execute failover and failback runbooks.
• Run game-days using AWS Fault Injection Service.
• Measure and report against RTO and RPO targets.
• Implement KMS cross-account replication, IAM service principals for replication roles, and the secrets and parameter strategy for region-local dependencies.
• Support data extraction from the monolith into microservices:
  • Build CDC pipelines (DMS, DynamoDB Streams, Kafka Connect, Debezium)
  • Validate data integrity
  • Own the cutover sequence for individual extractions
• Pair with application engineers on connection-string abstraction, retry and idempotency patterns, and graceful degradation during region failover.
• Write design docs and runbooks the client team can take over after the engagement.

Qualifications

• 5+ years in production database engineering on AWS, with hands-on responsibility for at least one of: payments, banking, brokerage, or comparable financial-services workloads.
• 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.
• Strong Terraform (or CDK) skills.
• Comfort with CDC tooling (DMS, DDB Streams, Kafka Connect, or Debezium).
• Linux, networking fundamentals (VPC, Transit Gateway, peering, DNS), and IAM / KMS proficiency.
• Solid written communication and ability to operate in a regulated client environment.

Requirements

• Cassandra multi-DC operations experience at scale (nodetool workflows, repair strategy, tombstone management, cross-region anti-entropy).
• 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.

Benefits

• Shape real-world AI-driven projects across key industries.
• 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.