Job description

We are hiring a Staﬀ SRE / Infrastructure Engineer to own the reliability, scalability, and developer experience of the platforms that power our investment, portfolio, and enterprise operations. You will set the technical direction for our hybrid cloud footprint (AWS + Azure + on-prem), harden production for a regulated buy-side environment, and lead an emerging body of work applying AI to incident response and root-cause analysis. This is a hands-on senior IC role with material inﬂuence over architecture, tooling standards, and how engineers ship software. What you 'll do 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. Required experience 10+ years building and operating production infrastructure at scale, including hybrid cloud + on-prem. 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. Nice to have 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. The compensation range for this position is for a full-time employee in New York. The base salary offered will depend on qualifications, market data and internal equity. Base Salary Range $210,000 — $230,000 USD At DigitalBridge, we strive to create an inclusive environment where diverse employees want to work and where they can flourish professionally. In furtherance of our culture, all qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law.

Requirements

Must-haves

What you 'll do
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.
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.

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awsazureaici/cdllmpythongokubernetes

Platform: greenhouse
Effort: quick