Still babysitting backups and manually checking query plans?
It's time to level up.
If your day-to-day is bogged down by routine tickets and manual maintenance plans, you're operating in the rear-view mirror.
Inside one of Australia's premier Big 4 financial institutions, we have decoupled operational run from engineering innovation.
With dedicated offshore L2 teams managing the day-to-day operational noise, our
L3 Database Engineers
don't babysit databases-they design intelligent, automated, and self-healing data ecosystems at true tier-1 scale.
We are hunting for a forward-thinking
Database Engineer
ready to trade traditional DBA tasks for high-impact systems engineering:
large-scale automation, golden-signal telemetry, and enterprise AI adoption.
The Scale & The Mission
You'll be working across a mission-critical fleet of
4,000+ database instances
, supporting millions of daily transactions in an environment where milliseconds matter.
At this magnitude, manual work is obsolete.
Enterprise AI in Action:
Inject AI connectors, prompt engineering, and LLMs directly into operational workflows-summarizing thousands of capacity reports and accelerating root-cause analysis in seconds.
Proactive SRE & Golden Signals:
Shift away from static alerts.
Profile application baselines and track golden signals (latency, traffic, saturation, error budgets) to neutralize performance drift before it ever impacts customers.
Process Re-Engineering:
Standardize database delivery against modern CI/CD and DevOps standards, leveraging infrastructure-as-code and scripting to replace repetitive operational overhead.
High-Tier Problem Solving:
No trivial tickets.
You are the definitive escalation point, stepping in only for complex P1 incidents and high-tier architectural decisions (averaging ~1 call per month).
Multi-Engine Ecosystem:




SQL Server (On-Prem and Azure SQL Managed Instance) anchors ~85% of the footprint, with seamless pathways into PostgreSQL, Oracle, Teradata, and modern open-source engines.
Who You Are
We care about how you think, automate, and solve problems-not how well you recite textbook syntax.
The Foundation:
Deep, authoritative mastery of
Microsoft SQL Server
across enterprise on-premises estates and modern cloud environments (Azure SQL MI).
The Engineer's Mindset:
Hands-on automation chops (PowerShell, Python, Ansible, or advanced T-SQL scripting) paired with an understanding of modern DevOps principles.
AI & Future-Tech Curiosity:
A practical, forward-looking attitude toward emerging tools-whether that's leveraging enterprise Copilot, automated prompt pipelines, or modern observability tooling to multiply productivity.
Analytical Observability:
Comfort with historical trend analysis, application profiling, and preventative reliability engineering over reactive troubleshooting.
Adaptive Outlook
comfortable stepping outside a single engine to touch open-source technologies (PostgreSQL, NoSQL) even world defines???
??
Not sure.
What's on the Table
Top-of-Market Engineering Rates:
A financial services package restructured specifically to reward high-tier engineering over conventional DBA run-rates.
Genuine Flexibility:
A true ***** hybrid model (5 days per fortnight at the Kogarah campus) with versatile daily start and finish times to fit your life.
Protected Engineering Time:
Offshore teams absorb routine triage, giving you the runway to build, optimize, and deliver meaningful initiatives.
Immense Career Runway:
Work within a vast Platform Hosting ecosystem where cross-skilling into cloud platforms, open-source database architectures, and site reliability engineering is actively backed by leadership.
#J-*****-Ljbffr

📌 Senior Database Engineer - Sql Server / Azure / Ai (Sydney)
🏢 Aurec
📍 Sydney