Job Title: Senior Site Reliability Engineer (SRE)
Location: Atlanta, GA
Work Mode: Hybrid – Local Atlanta Candidates Only
Experience: 8+ Years
Job Summary
We are seeking an experienced Enterprise SRE to improve system reliability, scalability, observability, automation, and operational excellence across enterprise applications and cloud infrastructure.
Key Responsibilities
- Define and implement SRE standards, SLIs, SLOs, and error budgets.
- Design and maintain observability solutions using OpenTelemetry and Dynatrace.
- Assess application reliability, performance, resilience, and production readiness.
- Manage and troubleshoot AWS cloud infrastructure and Kubernetes environments.
- Develop automation, APIs, and integrations using Python, Java, or Go.
- Lead complex production incidents, root cause analysis, and remediation.
- Improve system availability, disaster recovery, and fault tolerance.
- Implement CI/CD, Infrastructure as Code, and automated operational workflows.
- Collaborate with architecture, cloud, security, and engineering teams.
- Mentor engineers and communicate technical recommendations to leadership.
- Implement observability for AI-enabled applications and workflows.
Required Skills
- 8+ years of SRE, Production Engineering, or Platform Engineering experience.
- Strong AWS expertise (EC2, EKS, Lambda, VPC, RDS, S3, IAM, CloudWatch).
- Kubernetes and Red Hat OpenShift (ROSA).
- OpenTelemetry, Dynatrace, distributed tracing, logging, and monitoring.
- Python, Java, Go, or similar programming languages.
- REST APIs, automation, CI/CD, Git, and Infrastructure as Code.
- Strong distributed systems and microservices knowledge.
- Incident management, troubleshooting, and root cause analysis.
- Strong communication and technical leadership skills.
Preferred Qualifications
- AWS Solutions Architect Professional or DevOps certification.
- CKA, CKS, or Red Hat OpenShift certification.
- ServiceNow, GitLab, and enterprise platform integrations.
- Experience with chaos engineering and performance optimization.
- AI/LLM application observability experience.