Senior Site Reliability Engineer — Scale Production Systems

Ally-Financial

Charlotte (NC)

On-site

USD 110,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Time off & holidays
401K with company match
Tuition reimbursement
Employee stock purchase plan
Life insurance
Disability
Parental leave
Relocation assistance

Job summary

Ally Financial | Charlotte, NC seeks a Business Intelligence & Reporting Lead to transform raw data into actionable insights for Generative AI and ML reporting. Lead the design of scalable infrastructure and observability to support critical production services, while aligning with product and PMO needs.

You will drive incident response, define SLOs, and build automation, partnering across engineering teams to deliver reliable, data-driven outcomes.

Qualifications

  • 7+ years of relevant experience in site reliability engineering, systems engineering, or DevOps.
  • Experience in cloud AWS including infrastructure as code tools.

Responsibilities

  • Design and implement highly available, scalable infrastructure systems supporting production services.
  • Lead incident response and postmortem processes to drive reliability improvements across teams.
  • Develop and maintain SLOs and error budgets to balance velocity and reliability.
  • Build tooling and automation to reduce toil and enable safe deployment and operation of services.

Skills

Python
Go
Node.js
AI development
CI/CD
GitOps
AWS
Observability
Container orchestration
Networking

Education

Bachelor's degree in relevant field

Tools

Terraform
CloudFormation
Pulumi
ECS
Jenkins
GitHub Actions
ArgoCD
CircleCI
Dynatrace
Prometheus
Grafana
Datadog
New Relic

Job description

Ally Financial | Charlotte, NC seeks a Business Intelligence & Reporting Lead to transform raw data into actionable insights for Generative AI and ML reporting. Lead the design of scalable infrastructure and observability to support critical production services, while aligning with product and PMO needs.

You will drive incident response, define SLOs, and build automation, partnering across engineering teams to deliver reliable, data-driven outcomes.

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