Database Engineer

Jobgether • Canada

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Jobgether is seeking an experienced Database Engineer to design, operate, and optimize PostgreSQL clusters at scale. The ideal candidate will have hands-on expertise in database architecture, automation, and incident response. This role combines deep technical ownership with opportunities to shape database strategy and drive automation.

Key Highlights

Design, implement, and maintain highly available PostgreSQL clusters

Optimize database performance through query tuning and indexing

Develop and maintain automation for provisioning, backups, and schema management

Key Responsibilities

Design, implement, and maintain highly available PostgreSQL clusters

Optimize database performance through query tuning and indexing

Develop and maintain automation for provisioning, backups, and schema management

Lead database incident response and perform root-cause analysis

Collaborate with software engineers on query optimization and schema design

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Technical Skills Required

PostgreSQL Linux systems SQL Terraform Ansible Python Bash Prometheus Grafana Datadog pg_stat_statements

Benefits & Perks

Competitive salary range of CAD $126,100-$140,100

Comprehensive healthcare benefits

Remote-first work environment

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Nice to Have

Experience with connection pooling and load balancing

Knowledge of distributed systems concepts and high-availability solutions

Job Description

This role is ideal for an experienced database professional who thrives in high-volume, mission-critical environments. You will be responsible for designing, operating, and optimizing PostgreSQL clusters at scale, ensuring high availability, performance, and operational excellence. The position requires hands-on expertise in database architecture, automation, and incident response, with a focus on building resilient and scalable systems. You will collaborate closely with engineering, SRE, and platform teams to implement best practices, improve workflows, and enhance the overall reliability of the data infrastructure. This role combines deep technical ownership with opportunities to shape database strategy, drive automation, and influence the design of critical systems across the organization.

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