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Database Engineer
Solvd, Inc.Database Engineer tasked with implementing cross-region replication solutions for a US payments platform at Solvd Inc. Collaborating with technical teams on AWS databases and tooling development.
Tech Stack
Tools & technologiesAWSCassandraDNSDynamoDBKafkaLinuxMicroservicesMySQLRedisTerraform
About the role
Key responsibilities & impact- 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, and runbook automation. Datadog is the primary observability stack; CloudWatch is the baseline.
- 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, and 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.
Requirements
What you’ll need- 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: you've configured Global Database, Global Tables, multi-DC Cassandra, or equivalent, and you've handled the failure modes (replication lag spikes, split-brain risk, version-skew issues).
- Strong Terraform (or CDK). You can build a multi-region module from scratch and explain the trade-offs.
- Comfort with CDC tooling (DMS, DDB Streams, Kafka Connect, or Debezium) and the operational gotchas (schema drift, ordering guarantees, replay).
- Linux, networking fundamentals (VPC, Transit Gateway, peering, DNS), and IAM / KMS proficiency.
- Solid written communication and ability to operate in a regulated client environment.
- 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
Comp & perks- Shape real-world AI-driven projects across key industries, working 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.
ATS Keywords
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Hard Skills & Tools
Aurora MySQLCassandraDynamoDBElastiCacheDocumentDBNeptuneTerraformCDC (DMS, DynamoDB Streams, Kafka Connect, Debezium)Linuxnetworking fundamentals
Soft Skills
written communicationoperational in regulated environments
Certifications
AWS Database SpecialtySolutions Architect AssociateSolutions Architect Professional