SRE Architect: AI-Driven Reliability for FinTech

Aquent; Austin (TX); On-site; USD 140,000 - 175,000; Full time

Benefits offered by this job

Subsidized health plan

Vision plan

Dental plan

Paid sick leave

Retirement plan with match

Job summary

Aquent partners with a leading financial services institution to advance reliability and performance of critical applications in a high-availability environment. You will design and deploy AI/ML–driven automation, improve observability, and drive proactive operational responses for millions of users.

You will champion the SRE mindset, build tools, and extend automation across deployment, monitoring, and self-healing workflows while collaborating with cross-functional teams on complex login

Qualifications

• Bachelor's degree in computer science or related field.
• Hands-on enterprise systems administration experience.
• Experience with AI/ML or AIOps approaches in production.
• Strong automation, tooling, and observability skills.

Responsibilities

• Champion the SRE mindset and drive systematic problem solving.
• Architect and implement production automation to reduce manual toil.
• Design AI/ML-driven observability and proactive response systems.
• Expand automation across deployment, monitoring, and self-healing workflows.
• Collaborate with Engineering, Scrum, and Operations on high availability.

Skills

Automation scripting

AI/ML in production

On-call incident response

Problem solving

Customer orientation

Education

Bachelor's degree in computer science

Tools

PowerShell

Python

Java

SQL

Splunk

AppDynamics

Kafka

Kubernetes

GitHub Actions

Job description

Aquent partners with a leading financial services institution to advance reliability and performance of critical applications in a high-availability environment. You will design and deploy AI/ML–driven automation, improve observability, and drive proactive operational responses for millions of users.

You will champion the SRE mindset, build tools, and extend automation across deployment, monitoring, and self-healing workflows while collaborating with cross-functional teams on complex login