Database Engineer

🕒 April 30

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Solvd, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2010

☁️ SaaS

🤝 B2B

🏢 Enterprise

SaaS • B2B • Enterprise

Solvd, Inc. is a global software engineering and consulting company that delivers comprehensive end-to-end solutions. Founded in 2011, Solvd offers core engineering services, including software development for web and mobile platforms, digital experience and design, data and AI/ML solutions, and cloud platform modernization. The company is an AWS partner and is known for optimizing resources, solving complex problems, and enhancing user satisfaction. Solvd emphasizes innovation and quality assurance, employing over 800 international professionals across 8 offices worldwide. The company prides itself on transforming businesses by providing feature-rich digital products, manual testing, automation, and employing cutting-edge technology solutions. Their proprietary tools like Zebrunner and Carina aid in improving development and QA processes. Solvd operates with a focus on collaboration, top talent cultivation, and customized technical solutions tailored to individual client needs, serving clients across 15 countries.

📋 Description

• 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

• 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

• 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.