Senior Database Reliability Engineer (Toronto)

Compensation: CAD 85,680 - CAD 130,000 - yearly Company Description MUFG Investor Services is a trusted partner to many of the world’s largest public and private funds, providing asset servicing and operational solutions built for alternatives. With over $1 trillion in client assets under administration, we offer fund administration, banking, payments, fund financing, foreign exchange overlay, corporate and regulatory services, custody, business consulting, and more. Operating from 17 locations worldwide, we help clients mitigate risk, enhance efficiency, and navigate the operational complexities of today’s investment management landscape. As a division of Mitsubishi UFJ Financial Group (MUFG), one of the world’s largest financial institutions with approximately $3 trillion in assets, we combine deep expertise with the strength and stability of a leading financial institution. To learn more, visit us at . 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. Responsibilities 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 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: PgBouncer or RDS Proxy — connection pooling configuration and tuning Good to Have: Kubernetes — understanding how workloads connect to databases, sidecar patterns, secrets injection Good to Have: Database migrations — zero‑downtime schema migrations with tools like Flyway, Liquibase, or custom scripted approaches Positive to Have: Financial services or regulated environments — familiarity with audit logging, data residency requirements, PCI DSS / SOC 2 controls Good to Have: AWS Aurora Global Database — cross‑region replication, disaster recovery patterns What We Don't Want Traditional Oracle/MSSQL DBA focused on GUI‑based administration Engineers who manage databases manually rather than through code Candidates whose primary experience is "advising" rather than building and operating You Will Thrive Here If You've written Terraform to provision an RDS cluster, not just clicked through the console You've debugged a production slow query using EXPLAIN ANALYZE and fixed it You think "how do I automate this" before "how do I do this manually" You're comfortable being on‑call and leading database incident response You want to build platform capabilities other engineers self‑serve, rather than being a bottleneck Apply on Kit Job: kitjob.ca/job/2opcg9