Senior Database Reliability Engineer, Dublin Pike

Job Description We are looking for a

Database Reliability Engineer

to join our team. This is not a traditional DBA role— you are a DevOps engineer who happens to have deep SQL and database knowledge. You think in code, manage infrastructure via Terraform, and treat database provisioning, patching, and performance as an engineering problem — not a manual task.

You will own the database infrastructure layer across our AWS environments: provisioning, scaling, observability, and reliability— all through Infrastructure-as-Code. Our current estate includes SQL Server running on Windows EC2 instances. You will partner with application teams to ensure databases are correctly provisioned, optimised, and monitored without becoming a gatekeeper.

You Will

Provision and manage AWS RDS instances

entirely through Terraform— parameter groups, subnet groups, IAM authentication, secrets rotation, multi-AZ, and read replicas.

Own database reliability

— design runbooks, define SLOs, set up alerting on slow queries, connection pool saturation, replication lag, and disk growth.

Automate database operations

— schema migrations, backup validation, failover drills, and patching via CI/CD pipelines.

Improve performance

— work with development teams on EXPLAIN ANALYZE, query tuning, indexing strategies, and connection pooling (PgBouncer/RDS Proxy).

Secure the data layer

— enforce encryption at rest/in transit, IAM database authentication, credential rotation via AWS Secrets Manager, and least-privilege access patterns.

Contribute to the platform

— build reusable Terraform modules for database provisioning that application teams self-serve from the platform.

Participate in on-call rotation

— respond to database incidents, drive RCAs, and implement permanent fixes to prevent recurrence.

Qualifications Essential

Strong SQL

— complex queries, performance tuning, indexing, EXPLAIN plans.

AWS

— RDS Aurora, Secrets Manager, IAM, CloudWatch, VPC networking for databases, KMS encryption.

Terraform

— writing and maintaining modules, state management, remote backends, version pinning.

Scripting

— Python or Bash for automation, operational tooling, and migration scripts.

CI/CD

— GitLab CI or equivalent; using pipelines for infrastructure changes and database migrations.

Observability

— experience with Datadog, CloudWatch, or Prometheus/Grafana for database metrics and alerting.

Linux

— comfortable with system-level troubleshooting in production environments.

Good to Have

PostgreSQL

— deep knowledge: vacuuming, autovacuum tuning, replication (logical/streaming), pg_stat views, extensions.

PgBouncer or RDS Proxy

— connection pooling configuration and tuning.

Kubernetes

— understanding how workloads connect to databases, sidecar patterns, secrets injection.

Database migrations

— zero-downtime schema migrations with tools like Flyway, Liquibase, or custom scripted approaches.

Financial services or regulated environments

— familiarity with audit logging, data residency requirements, PCI DSS / SOC 2 controls.

AWS Aurora Global Database

— cross-region replication, disaster recovery patterns.

MUFG is an equal opportunity employer.

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