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Senior Database Administrator & Developer (PostgreSQL)

Job

Advyzon

Chicago, IL (In Person)

Full-Time

Posted 3 days ago (Updated 12 hours ago) • Actively hiring

Expires 6/8/2026

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Job Description

Senior Database Administrator & Developer (PostgreSQL) Advyzon Chicago, IL Job Details 1 hour ago Benefits Health insurance Dental insurance Flexible spending account Parental leave Vision insurance 401(k) matching Qualifications Bash SQL Improving database performance Linux administration Full Job Description We're growing. You can be a powerful part of our success. At Advyzon, the impact you make will help shape our growth and ability to help advisors achieve their goals. You'll work with people who care about your success and get the support you need to be your best. Benefits and Perks We want you to be happy and healthy both in and outside of working hours, no matter where in the world you are. That's why we offer flexible, competitive benefits for you and your family. Healthcare starting at $0 out-of-pocket Vision Dental 401K+ Employer Match
LTD STD FSA
w/Employer Contribution Hospital Indemnification Accident forgiveness Critical illness coverage Unlimited time off Observation of all market holidays Sabbatical Parental leave Extracurricular team bonding Continuing educational support We love working here. We think you will too. We're always interested in talking with experienced contributors. Please email to get in touch. Senior Database Administrator & Developer (PostgreSQL) We are looking for a versatile Database Administrator & Developer who doesn't just "keep the lights on," but actively builds and optimizes the engines that power our applications. In this role, you will bridge the gap between pure system management and high-level database development. You'll be responsible for the entire lifecycle of our PostgreSQL environments—from architecting schema designs and writing complex functions to fine-tuning Linux kernels and ensuring 99.99% uptime.
Key Responsibilities Database Development & Optimization:
Schema Design:
Design and implement robust, scalable relational schemas and data models.
Advanced SQL:
Write and optimize complex queries, triggers, and stored procedures (PL/pgSQL).
Performance Tuning:
Use EXPLAIN ANALYZE and other profiling tools to identify bottlenecks and optimize indexing strategies.
Migration Management:
Lead data migrations, version upgrades, and ETL process development.
System Management & Administration:
Infrastructure:
Install, configure, and maintain PostgreSQL instances on Linux-based environments (On-prem or Cloud).
High Availability:
Implement and manage replication (Physical/Logical), failover mechanisms (Patroni, Repmgr), and load balancing (PgBouncer).
Backup & Recovery:
Design and test rigorous Point-in-Time Recovery (PITR) and disaster recovery strategies using tools like pgBackRest or Barman.
Security:
Manage user roles, permissions, row-level security (RLS), and encryption at rest/transit.
Monitoring & Automation:
Set up proactive monitoring and alerting (Prometheus, Grafana, or pgWatch2). Automate routine maintenance tasks (Vacuuming, Reindexing) using configuration management tools like Ansible, Terraform, or Puppet.
Requirements Experience:
5+ years of experience managing production PostgreSQL environments.
Linux Mastery:
Strong command of Linux internals, shell scripting (Bash), and OS-level tuning for database performance.
Deep PostgreSQL Knowledge:
Expert-level understanding of MVCC, WAL, and PostgreSQL configuration parameters.
Development Background:
Proficient in at least one backend language (Python, Go, or Java) to assist in application-tier integration.
Soft Skills:
A "measure twice, cut once" mentality with the ability to communicate technical trade-offs to non-technical stakeholders.
Preferred Qualifications:
Experience with PostGIS for geospatial data. Familiarity with containerization (Docker, Kubernetes/CloudNativePG). Experience managing "Very Large Databases" (VLDB) in the multi-terabyte range. Why Join Us? You won't just be running scripts; you'll be an architect of our data strategy. We value automation over manual intervention and performance over "good enough."

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