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# Staff SRE / Infrastructure Engineer

- **Company:** DigitalBridge Group, Inc.
- **Location:** Boca Raton, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Kubernetes Security, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Code Review, Continuous Integration, Data as a Services, Data Centers, Data Infrastructure, Software Debugging, Linux, Github, Identity and Access Management, Python (Programming Language), Network Segmentation, Software Tools, Ansible, Prometheus, Datadog, Scripting, Retrieval-Augmented Generation, Large Language Models, Grafana, Mttr, Multi-Cloud, HybridCloud, Gitlab-ci, Kubernetes, Hardware Infrastructure, Terraform, Splunk, Code Restructuring
- **Published:** October 2, 2026
- **Apply:** https://startup.jobs/principal-staff-site-reliability-digitalbridge-10257894

## About the Role

* 10+ years building and operating production infrastructure at scale, including hybrid cloud, * Deep expertise in AWS and Azure compute, networking, IAM, and managed data services; comfortable with account/project topology, landing zones, and org-level guardrails.
 * Expert-level Linux, Terraform, Ansible, and modern CI/CD (GitHub Actions, GitLab CI, Argo, or equivalent).
 * Track record of measurable improvements in platform reliability, MTTR, deployment velocity, and developer productivity.
 * Strong scripting/software skills in Python and/or Go; can read and refactor application code well enough to debug across the stack.
 * Production experience with Kubernetes, service meshes, and container security posture.
 * Fluency with observability stacks (Datadog, Prometheus/Grafana, OpenTelemetry, ELK/Splunk).
 * Experience running incident command and driving durable postmortem outcomes., * Prior experience in financial services, buy-side, or another regulated environment (SOC 2, SOX, GLBA).
 * Hands-on work with AI/LLM tooling for SRE - agentic incident response, RAG over runbooks/telemetry, or automated RCA.
 * Experience with data-center automation, colocation, or modular infrastructure.
 * FinOps depth: unit economics, cost attribution, and budget governance across AWS/Azure.

## Description

* Own end-to-end reliability for business-critical services - SLOs, error budgets, capacity planning, DR, and incident command - with a five-nines mindset appropriate to financial services workloads.
 * Design and evolve our multi-cloud and on-prem infrastructure across AWS, Azure, and colocated environments; drive workload placement, cost, and resilience trade-offs.
 * Build and maintain the Terraform, Ansible, and CI/CD backbone that lets product and data teams ship safely and quickly; codify golden paths and paved roads.
 * Advance observability (metrics, logs, traces, profiling) so on-call engineers can localize failures in minutes, not hours; instrument reliability as a first-class product surface.
 * Lead the buildout of AI-assisted SRE capabilities - LLM-driven triage, incident summarization, runbook synthesis, and automated RCA - with human-in-the-loop guardrails.
 * Partner with security, data platform, and application teams on hardening, patching, secrets, network segmentation, and change management appropriate to a regulated environment.
 * Participate in a leader-level on-call rotation; run blameless postmortems and drive systemic fixes to closure.
 * Mentor senior engineers; set the bar for infrastructure code review, production readiness reviews, and reliability practice across the org., + on-prem.