Lead SRE: Kubernetes, Cloud & Automation

10000 FactSet Research Systems Inc.

Norwalk (CT)

On-site

USD 190,000 - 220,000

Full time

14 days+

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Job summary

FactSet Research Systems Inc. is seeking a Principal Site Reliability Engineer to ensure the reliability, scalability, and performance of our systems and services. You will collaborate with development and operations to automate processes and promote best practices across platforms.

You will drive incident response, automate toil, and define SLOs/SLIs while contributing to capacity planning and performance optimization in a fast‑paced environment.

Qualifications

  • 8+ years’ experience ensuring the reliability, scalability, and performance of systems and services.
  • Bachelor’s degree in computer science or relevant field required.

Responsibilities

  • Monitor, maintain, and improve the reliability and availability of production systems.
  • Respond to and resolve incidents, conducting postmortems to prevent recurrence.
  • Define and track SLOs and SLIs.
  • Collaborate with development teams to build reliability into services from the ground up.
  • Design and implement automation to reduce toil and improve operational efficiency.
  • Participate in an on‑call rotation to support critical systems.
  • Contribute to capacity planning and performance optimization.
  • Document systems, processes, and runbooks.

Skills

Problem-solving
Communication
Automation mindset
Incident response

Education

Bachelor’s degree in Computer Science or related field

Tools

Kubernetes
Terraform
Pulumi
Ansible
GitHub Actions
ArgoCD
Prometheus
Grafana
OpenTelemetry
AWS

Job description

FactSet Research Systems Inc. is seeking a Principal Site Reliability Engineer to ensure the reliability, scalability, and performance of our systems and services. You will collaborate with development and operations to automate processes and promote best practices across platforms.

You will drive incident response, automate toil, and define SLOs/SLIs while contributing to capacity planning and performance optimization in a fast‑paced environment.

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