Devops Engineer - USC

Description
We are seeking a senior DevOps Engineer to join our platform organization and help drive the architecture, enablement, and operational maturity of shared engineering infrastructure.
This is a hands-on senior individual contributor role focused primarily on platform architecture and enablement. The role is best suited for a senior DevOps/platform hybrid who can design reusable platform
capabilities, improve developer workflows, and strengthen the reliability, scalability, and cost-efficiency of cloud environments used across engineering.
You will lead complex infrastructure and developer-enablement initiatives, define team best practices, drive adoption of platform patterns across teams, and raise the standard for cloud operations, observability, and incident response.

Key Responsibilities
 Design and evolve reusable platform capabilities that improve developer experience, delivery
consistency, and operational reliability.
 Lead technical design reviews for platform and infrastructure initiatives and help drive sound architectural decisions across teams.
 Define and implement team best practices for CI/CD, infrastructure automation, cloud operations, and platform guardrails.
 Build and maintain scalable Infrastructure as Code patterns, shared modules, and deployment workflows that enable safe self-service.
 Design and improve cloud infrastructure for reliability, scalability, performance, and cost efficiency.
 Lead significant DevOps and cloud operations initiatives across shared services and platform environments.
 Drive observability standards through dashboards, alerting, service health instrumentation, and operational feedback loops.
 Lead incident response for platform and shared-services issues and improve operational readiness through follow-up remediation and runbooks.
 Build automation services and internal tooling that reduce delivery friction and improve engineering effectiveness.
 Drive cross-team adoption of platform patterns, workflows, and operational standards.

Tools
 Cloud & Infrastructure: AWS, Terraform
 CI/CD & Delivery: GitHub Actions, Bitbucket Pipelines
 Containers & Orchestration: Docker, Kubernetes, Amazon EKS
 Languages & Automation: Python, Go, Bash
 Observability & Operations: logging, metrics, dashboards, alerting, and service health tooling
 Developer Enablement: internal platform tooling, automation services, reusable templates, and workflow guardrails
 AI-Assisted Engineering: AI-enabled tooling for scripting, troubleshooting, documentation, incident analysis, and workflow acceleration

 

AI-Assisted Engineering and Platform Enablement
 Evaluate AI-enabled tooling that can improve platform engineering workflows, operational efficiency, and developer enablement.
 Identify practical uses of AI for infrastructure automation, incident analysis, troubleshooting,
documentation, and workflow acceleration.
 Help define safe team patterns and guardrails for AI use in DevOps and platform engineering
workflows.
 Validate AI-generated infrastructure definitions, scripts, recommendations, and operational outputs before adoption.
 Ensure AI-assisted workflows align with security, privacy, access control, and compliance
requirements.

Required Skills & Qualifications
 Strong experience in DevOps, platform engineering, cloud infrastructure, or related infrastructure- focused software engineering roles.
 Strong hands-on experience with cloud platforms and shared infrastructure design, preferably in AWS environments.
 Experience designing and improving CI/CD systems, infrastructure automation, and developer- enablement tooling.
 Strong experience with Infrastructure as Code, including reusable patterns and modular design, preferably with Terraform.
 Experience improving reliability, observability, and operational maturity for shared services or platform environments.
 Strong understanding of cloud architecture, scaling patterns, deployment safety, service reliability, and operational risk.
 Experience leading technical design discussions and influencing engineering standards without formal people management responsibility.
 Strong scripting and software engineering ability, preferably in Python or Go.
 Experience driving incident response, remediation, and operational improvements in shared environments.
 Experience analyzing and improving cloud cost efficiency and operational performance.