Site Reliability Engineer

Role: Site Reliability Engineer

Work location: Hybrid, onsite at least 3 days per week in Midtown, Atlanta, GA.

Duration: Full time (direct hire)

Role Summary
Lead the reliability, scalability, security, and operational excellence of customer-facing platforms across Azure, Google Cloud Platform, and Kubernetes environments. Drive production stability through automation, observability, incident management, and continuous improvement initiatives.

Key Responsibilities

• Lead platform reliability, availability, and performance initiatives.
• Design and support cloud infrastructure in Azure and Google Cloud Platform.
• Manage and optimize Kubernetes environments and containerized applications.
• Implement observability and monitoring using Splunk, AppDynamics, and cloud-native tools.
• Support Cloudflare, Zscaler, SQL Server, RabbitMQ, and enterprise networking components.
• Lead major incident response, RCA, and problem management activities.
• Develop automation and self-healing solutions to improve operational efficiency.
• Collaborate with Engineering, Product, Security, and Infrastructure teams to enhance customer experience and platform stability.
• Serve as a technical escalation point for critical production and customer issues.

Required Skills

• 5+ years of experience in SRE, DevOps, Cloud Operations, or Infrastructure Engineering.
• Strong expertise in Azure, Google Cloud Platform, Kubernetes, Cloudflare, Splunk, AppDynamics, SQL Server, RabbitMQ, and Zscaler.
• Solid networking knowledge (DNS, TCP/IP, HTTP/S, CDN, WAF, Load Balancing, SSL/TLS, Firewalls, VPNs).
• Experience with automation and scripting (Python, PowerShell, Bash, Terraform).
• Strong customer-facing communication and stakeholder management skills.

Core Principles

• Automation First – Eliminate manual effort through automation and self-healing systems.
• Observability-Driven Operations – Leverage logs, metrics, traces, and analytics to proactively identify and resolve issues.
• AI-Powered Reliability – Utilize AI and operational intelligence to accelerate detection, diagnosis, and remediation.
• Customer-Centric Mindset – Prioritize customer experience, stability, and business outcomes.
• Operational Excellence – Continuously improve reliability, scalability, and security.

Success Measures

• Service Availability & Uptime
• SLA/SLO Compliance
• MTTR Reduction
• Incident Reduction
• Automation Adoption
• Customer Satisfaction (CSAT)
• Platform Performance & Stability Improvements

Best Regards,

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David Roy | #LI-DR1 Accounts Manager – US Staffing | Charter Global Inc. |