DataBase Reliability Engineer

Location: Remote

Experience: 5 to 7 years

Role: Database Reliability Engineer

We are seeking a Database Reliability Engineer (DRE) with strong software engineering

and cloud database infrastructure experience to support and evolve our global AWS-based

database platforms. This is a contract role for a hands-on engineer passionate about

automation, reliability, and scalability — with deep expertise in Aurora PostgreSQL and

modern cloud database architectures.

Key Responsibilities

• Design, implement, and maintain highly available and performant Aurora

PostgreSQL systems in AWS.

• Build tools and scripts (Python, SQL) to automate upgrades or migrate databases

from 1 cluster/aws account to another with near zero downtime using DMS; create

contribute to terraform modules for DMS infrastructure deployment/management .

• Implement CI/CD pipelines workflows for repeatable, automated rebuild

deployments.

• Partner with SREs and service teams to design database solutions that meet

application performance and compliance requirements.

• Troubleshoot complex production database issues by analyzing logs, query plans,

metrics, and system-level behavior.

• Optimize schema design, queries, and indexes to ensure efficiency and scalability.
• Document operational runbooks, architecture decisions, and engineering best

practices.

• Contribute to a culture of reliability, continuous improvement, and technical

excellence.

Required Qualifications

• 5–7 years of hands-on experience managing large-scale cloud-native databases,

preferably Aurora PostgreSQL.

• Strong understanding of PostgreSQL internals, replication, and performance tuning.
• Experience supporting multi-region or zero-downtime database migrations or

upgrades using DMS.

• Proficiency in Python for automation and SQL for database development and

optimization.

• Experience with AWS database services (Aurora Postgresql & DMS).
• Solid grasp of CI/CD pipelines, Infrastructure-as-Code(Terraform), and

containers (Docker).

• Strong problem-solving and communication skills; ability to collaborate with

distributed teams.

Nice to Have

Familiarity with Elasticache Valkey/Redis, DynamoDB, or Keyspaces.

Exposure to performance testing platforms, APMs, and observability tooling

(e.g., Datadog, Prometheus, Grafana).

Experience contributing to engineering design reviews, mentoring peers, and

improving team-level processes.

Proven experience with monitoring, alerting, and incident management in

production environments.