Staff Engineer, Site Reliability Engineering
Endeavor Managed Services, Inc.
Concord, NC, United States
7 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Artificial Intelligence
Amazon Web Services
Systems Engineering
Microsoft Azure
Cloud Computing
Continuous Integration
Information Engineering
DevOps
Fault Tolerance
Python (Programming Language)
Reliability Engineering
+7 more
Large Language Models
Agentic-AI
Git Flow
Kubernetes
Information Technology
Terraform
Golang
Job description
We are seeking a Staff Engineer to build and improve reliable, scalable, and observable cloud-native data platforms supporting high-volume telemetry and connected systems. This is a hands-on technical leadership role working across SRE, DevOps, cloud infrastructure, data engineering, CI/CD, observability, and AI-enabled operations. Key Responsibilities
- Design scalable, fault-tolerant, and observable cloud infrastructure.
- Lead production readiness, reliability, incident response, and post-incident improvements.
- Design and optimize CI/CD, GitOps, progressive delivery, and rollback strategies.
- Define SLOs, SLIs, monitoring, alerting, dashboards, and OpenTelemetry standards.
- Automate incident triage, diagnostics, remediation, and operational workflows.
- Develop and evaluate AI/LLM workflows, agentic solutions, and automation.
- Mentor engineers and influence technical standards across multiple teams.
- Participate in on-call rotations and lead critical production incidents.
Requirements
- 8+ years of SRE, DevOps, or Systems Engineering experience.
- Strong experience with Azure, AWS, or GCP.
- Proficiency in Python, Go, Java, or comparable languages.
- Experience with Kubernetes, CI/CD, GitOps, Terraform, and cloud-native systems.
- Strong knowledge of Observability, SLO/SLI, Incident Management, and Reliability Engineering.
- Experience with AI-assisted development, LLM applications, or agentic workflows.
- Strong technical leadership, communication, and cross-functional collaboration skills.
- BS/MS/PhD in Computer Science, Engineering, Mathematics, Physics, or related field.
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