Hire AWS RDS developers from Entrans and get engineers who have done the cutover, not just the planning deck. They run migrations through DMS with change data capture, rehearse the switch before it happens, and tune what is slow instead of resizing the instance until the complaints stop. Entrans has delivered for 200+ enterprises, and interviews can start this week.

A database is the one component you cannot restart casually. Our engineers come out of our enterprise cloud solutions practice, where the work is judged on whether the cutover was boring and the bill went down.
Every AWS RDS expert we put forward has run a real cutover. We replicate with DMS and change data capture, keep the old system live until the new one proves itself, and test the rollback path before anyone touches production.
Upsizing the instance hides the problem and doubles the invoice. We start with Performance Insights, slow query logs, and execution plans, then fix the index, the query, or the connection pattern that is actually costing you.
Instance hours, storage type, provisioned IOPS, Multi-AZ doubling your compute, backup storage past the free allocation, and cross-AZ transfer. We show where the money goes and which reserved capacity is worth committing to.
Multi-AZ for failover, read replicas for read load, cross-region for disaster recovery. These solve different problems and cost different amounts. We size the design to the outage you can genuinely tolerate.
PostgreSQL, MySQL, Aurora, Aurora Serverless v2, or something outside RDS entirely. We give you the tradeoffs before the migration rather than after. Entrans is ISO certified and a NASSCOM member, with delivery across the US, UK, UAE, and India.
This is what our AWS RDS engineers do week to week. Bring any of it into the interview and ask for specifics.
Moving off Oracle, SQL Server, or self-managed instances on EC2 using the Schema Conversion Tool and DMS, with continuous replication so the switch takes minutes rather than a maintenance weekend. Larger platform moves run with our cloud migration engineers.
Execution plan analysis, index design, pg_stat_statements and slow query review, autovacuum tuning on PostgreSQL, parameter group changes with evidence behind them, and connection pooling through RDS Proxy when serverless traffic exhausts connections.
Multi-AZ deployments, read replicas placed where the read traffic is, cross-region replicas for regional failure, plus recovery drills that prove your point-in-time restore works before you need it.
Major version upgrades through blue/green deployments, so you validate on a copy and switch when it passes. We also get you off engine versions heading into extended support, before the surcharge lands.
KMS encryption at rest, TLS in transit, IAM database authentication, Secrets Manager rotation instead of passwords in config, private subnets with tight security groups, and audit logging that satisfies HIPAA, SOC 2, or PCI DSS review.
CloudWatch alarms on the metrics that predict trouble, Enhanced Monitoring and Performance Insights dashboards, storage autoscaling, and runbooks for failover. Ongoing operations can move to our application support and IT operations team.
Our database engineers work alongside the teams behind our cloud and data engineering practice, so the database fits the platform and the analytics built on top of it. Here is the stack they work in.
Database work waits for a quiet quarter that never arrives. Here is the path from your first call to an engineer reading your slow query log.
Tell us which engine you run, how big the database is, what your downtime tolerance looks like, and whether this is a migration, a tuning problem, or a cost problem. One call is usually enough.
You receive shortlisted AWS RDS engineers with their migration and tuning history, AWS certifications, and a note on how each one maps to your engine and workload.
Run your own technical round. Hand them a slow query and ask what they would check first, or ask how they would move a 2TB database with under five minutes of downtime.
Accounts, read access to a replica, repositories, and sprint goals get set up together. Most engineers are committing work inside the first week.
Add engineers, change the skill mix, or move day-to-day database operations to a managed team. Handover documentation and notice periods are part of the agreement.

Hire a dedicated AWS RDS developer to own the database long term: schema changes, performance, upgrades, backups, and the cost review nobody else gets to. This fits when the database sits under revenue-critical traffic.

Hire remote AWS RDS developers who work your hours, join your standups, and follow your change process. Many clients pair them with our AWS developers so application and database work move together.

A scoped piece of work: a migration onto RDS or Aurora, a performance and cost review, or a major version upgrade done through blue/green. Ongoing administration can then move to our managed services team.
Our team serves global clients across banking and financial services, healthcare, insurance, retail, manufacturing and supply chain, and logistics. Our database engineers work where a slow query shows up as an abandoned checkout, a delayed claim, or a clinician waiting on a record.
An AWS RDS developer designs, migrates, tunes, and operates managed relational databases on AWS. The work covers engine and instance selection, schema and index design, migrations through DMS, high availability with Multi-AZ and read replicas, backups and recovery testing, and the security controls around access. Most also own cost, since instance size, storage type, and Multi-AZ decide the monthly bill.
Look for real database depth, not just AWS console familiarity. Ask how they read an execution plan, when they add an index versus rewrite a query, how they would migrate with minimal downtime, and what they check before a major version upgrade. PostgreSQL or MySQL internals, DMS experience, infrastructure as code, and connection pooling knowledge round out a strong profile.
RDS bills on instance hours, storage, and I/O, and several choices multiply that base. Multi-AZ roughly doubles instance cost, provisioned IOPS and io2 storage cost more than gp3, backup storage beyond your allocated amount is charged, and cross-AZ traffic adds up quietly. Reserved instances cut steady-state compute cost significantly, and older engine versions can attract extended support charges. A right-sizing review usually finds savings before anyone needs to change the architecture.
Rates depend on seniority, engagement model, and whether the engineer owns the database long term or delivers a fixed scope such as a migration. Published rates for AWS database talent range widely, so compare on scope rather than the hourly figure alone. Keep the AWS charges in a separate line of the budget. Entrans shares a rate card after a short requirement call.
Use standard RDS when you want a familiar engine, predictable pricing, and full control over version and parameters. Use Aurora when you need faster failover, more read replicas, or storage that scales without planning, and you accept a different cost model. Aurora Serverless v2 suits workloads with quiet periods and unpredictable peaks. We also say plainly when a relational database is the wrong tool, since key-value workloads often belong in DynamoDB and analytics belongs in a warehouse.