Database
Administrator
(Data Guardian)
The steady hand behind
our production data.
Most companies treat their database as plumbing — invisible until it bursts. We treat ours as the single source of truth that hundreds of fleets rely on to keep their vehicles, and their people, safe and moving.
Are you the person who notices the backup that didn't run, the index that's quietly bloating, or the query plan that changed overnight, before anyone else does? Do you get real satisfaction from a database that just works, because you made sure it would? And have you made AI a genuine part of how you work — not a buzzword on your resume, but a tool you reach for daily to troubleshoot faster, automate smarter, and document better? If so, read on…
I'm looking for a Database Administrator to keep the data layer that powers our platform fast, secure, available, and recoverable. We run a fleet of SQL Server databases across our customer base, increasingly on AWS, and the data they hold is the heartbeat of the product. This is a high-ownership role: you'll be the steady hand behind our production databases, the first person we trust when something looks off, and a partner to engineering as our data needs grow and change. If this sounds like you, you could be the peanut butter to our jelly. Read on and apply.
This role is not for everyone. If you prefer clearly scoped tasks, minimal ambiguity, and steady incremental work, we'd still love to have you — just not in this seat. This role is for people who see an undefined problem in production and feel a pull toward it, not away from it.
What We're Looking For.
In general, someone who:
Is a force multiplier. When you touch the data layer, the whole product gets faster, safer, and more dependable. You raise the bar just by being in the room.
Is passionate about serving others.
Takes pride in their craft, finding fulfillment in data systems that are clean, fast, and trustworthy — and in never being the reason something broke.
Has genuinely adopted AI into how they work. You use AI tools as part of your daily practice and have a real point of view on where they help, where they don't, and how to use them responsibly.
Has strong opinions, loosely held. You'll push back when a change is risky, but you update your views when shown better information. You're not the smartest person in the room — you just want to find the right answer.
Is comfortable being part of a team that thrives on healthy conflict. People with thin skin need not apply. No, seriously.
Passionately cares about our clients, who are fleet managers, parts clerks, and automotive technicians maintaining everything from squad cars to school buses — so everyone comes home safely at the end of the day.
Thinks of themselves less, while not thinking less of themselves. You're other-centric, compassionate, and self-assured.
Takes ownership and initiative — spotting the slow query, the missing backup, or the disk that's about to fill, and fixing it without waiting for a ticket.
Loves to read, learn, grow, and stretch themselves. Bonus points for each book they've read by Patrick Lencioni!
Specifically for This Job.
Someone who:
Has 4–6+ years administering relational databases in production, with real depth in Microsoft SQL Server (T-SQL, query plans, indexing, statistics, maintenance). Experience with PostgreSQL is a strong plus.
Lives and breathes performance tuning — execution plans, indexing strategy, query optimization, locking/blocking, wait stats, and establishing performance baselines before there's a fire.
Owns high availability and disaster recovery — backup/restore strategy, replication, Always On availability groups, failover, RPO/RTO targets, and the discipline to actually test recovery.
Has hands-on experience with AWS database services, particularly Amazon RDS (SQL Server and PostgreSQL) and Amazon Aurora, and understands the tradeoffs of managed vs. self-managed. Experience with cloud migrations or modernization is highly valued.
Has working knowledge of the broader data landscape, not just the relational world. You understand when a non-relational store is the right tool (DynamoDB, MongoDB, Redis/ElastiCache), and you're familiar with how data warehouses (Redshift, Snowflake), data lakes (S3, Glue, Athena), and data pipelines (Glue, Kinesis, Airflow, dbt) fit together. You don't have to have built all of it, but you know enough to spot when our needs are outgrowing what we have and to raise your hand.
Cares about data quality, not just data availability. You know how to spot bad, duplicate, or drifting data, and you understand validation, lineage, and integrity as part of the job, not someone else's problem.
Uses AI in their daily work and isn't shy about it. You're fluent with modern AI tooling — coding assistants, LLM-based query and troubleshooting helpers, agentic workflows — and you actively apply them to tuning, scripting, documentation, and incident response.
Treats data security as non-negotiable — authentication, authorization, least privilege, encryption at rest and in transit, auditing, and an awareness of compliance obligations.
Automates the boring stuff — maintenance, monitoring, patching, and routine operations — using scripting (T-SQL, PowerShell, Python, or Bash) and infrastructure-as-code where it fits.
Treats observability as a first-class concern, using tools like New Relic, Datadog, or native AWS monitoring to catch degradation before clients feel it.
Communicates with precision. You can explain a thorny production issue to a senior engineer and to a support lead, each in the way they need to hear it, without losing either of them.
Has mentored or led before — bonus, not required. Time as a team lead or senior DBA who raised the people around them is a real plus.
What you'll own.
Own Production Database Health
Keep our databases available, performant, and secure across environments. You're the person who knows what normal looks like, and notices when it isn't.
Performance Tuning
Proactively find and fix bottlenecks at the query, index, and configuration level so our systems stay fast as we grow.
Backup, Recovery & High Availability
Build, maintain, and regularly test backup, replication, and failover strategies, and prove they work.
Patching, Upgrades & Migrations
Plan and execute database patching, version upgrades, and cloud migrations with minimal disruption to clients.
Security & Compliance
Partner with Security and DevOps to enforce secure configurations, access controls, auditing, and encryption across every database.
Work AI-First
Use AI to accelerate troubleshooting, scripting, documentation, and routine operations, and share what works with the team.
Automation & Observability
Replace manual toil with automation, and build the monitoring, alerting, and baselining that let us catch problems before clients do.
Data Quality & Integrity
Help establish and enforce practices that keep our data accurate, consistent, and trustworthy.
Support Engineering
Review schema and query changes, advise developers on writing efficient data access, and help shape environments for releases.
Incident Response
Be a calm, capable first responder for database-related incidents, and drive them through to root cause and lasting fixes.
Continuous Improvement
Don't maintain the status quo. Find the inefficiencies, propose the fix, and drive it through to done.
Look Ahead
Flag when our data needs are changing, whether that's a workload that belongs in a different kind of store or a reporting need that calls for a warehouse or lake, and help us get ahead of it.
How we'll know
you're winning.
Reliable, Recoverable Data
Databases stay available under load, backups are verified, and recovery objectives are met, not just documented.
Fast by Design
Queries and databases perform well at scale, with regressions caught early through baselines and monitoring.
Fewer Surprises
Issues are caught and fixed proactively, and incidents are resolved quickly with root causes addressed.
Secure & Compliant
Client data is protected by sound access controls, auditing, and encryption, with no avoidable exposure.
Smooth Changes
Patches, upgrades, and migrations land on time, with minimal client impact.
AI-Accelerated Operations
Routine database work is measurably faster and more automated because you brought modern practices to it.
Early Warning on Data Needs
We hear about emerging data needs from you before they become problems.
The “boring” HR part
that's necessary.
4–6+ years of hands-on database administration experience, with demonstrated depth, not just tenure.
Strong proficiency with Microsoft SQL Server and T-SQL; familiarity with PostgreSQL and/or other relational systems is a plus.
Experience with performance tuning, indexing, high availability, and backup/disaster recovery.
Hands-on experience with AWS database services (RDS and/or Aurora preferred).
Working knowledge of non-relational databases, data warehouses, data lakes, and data pipelines, including an understanding of which fits which purpose.
Understanding of data quality, validation, and integrity practices.
Demonstrated, hands-on use of AI tools in day-to-day technical work.
Familiarity with scripting (PowerShell, Python, or Bash) and monitoring/observability tooling.
Great work deserves
great benefits.
Days of Vacation
Enjoy 12 days of paid vacation to rest, recharge, and spend time on what matters most.
Unlimited PTO
We believe in flexibility and work-life balance. Take the time you need to recharge, with unlimited paid time off.
Be the person who catches it
before anyone else does.
If you're the kind of DBA who treats the data layer as a craft, reaches for AI tools naturally, and finds satisfaction in systems that just work because you made sure they would — we'd love to hear from you.
Apply for this Role →