Senior Site Reliability Engineer ** Largely Remote **

Amerit Consulting is a fast-growing staffing and consulting firm that provides services to Fortune 500 companies. They are seeking a Senior Site Reliability Engineer to operate, stabilize, and improve highly available systems while driving reliability automation using AI across services.

Responsibilities:

• Design, operate, and support scalable, observable production systems in Azure
• Participate in and lead on-call rotations and high-severity incident response
• Conduct root cause analysis, blameless post-incident reviews, and implement corrective actions
• Own and enhance observability using Dynatrace (dashboards, alerts, SLIs/SLOs)
• Troubleshoot production issues across Java-based services, Kubernetes, and cloud infrastructure
• Collaborate with cross-functional teams to reduce risk and operational toil
• Design and build AI-driven automation for incident ingestion, triage, investigation, and remediation using multi-agent patterns
• Develop automation for incident communication, reporting, and continuous improvement
• Remain accountable for system reliability and AI-driven operations in production
• Combine software engineering and systems expertise to automate workflows, improve performance, and enhance system resilience
• Develop CI/CD pipelines, manage infrastructure, improve monitoring and observability, and support Java applications in production environments
• Define reliability standards, influence system architecture, lead incident response efforts, and serve as an escalation point for critical issues
• Drive proactive reliability improvements through monitoring and reporting
• Communicate system health and risks to leadership and mentor team members while supporting hiring and onboarding efforts
• Ensure compliance with HIPAA and organizational security and regulatory requirements

Requirements:

• Participation in a scheduled on-call rotation is required
• 7+ years of Site Reliability Engineering or Production Engineering experience
• Strong experience with Azure cloud infrastructure, Kubernetes, Docker, Java production systems, CI/CD (GitHub Actions), and observability platforms (Dynatrace preferred)
• Demonstrated experience automating infrastructure and operational workflows
• Deep understanding of SRE principles (SLIs, SLOs, error budgets)
• Experience with Ansible
• Solid understanding of Linux and Windows system administration
• Experience working with onsite and offshore teams
• Strong communication skills (written and verbal)
• Strong organizational skills and attention to detail
• Strong analytical and problem-solving skills
• Experience designing automation that replaces or materially reduces on call toil
• Experience building or orchestrating AI agents applied to operational workflows
• Familiarity with multi agent architectures or distributed automation systems
• Strong judgment around risk management, safety boundaries, and human in the loop design
• Experience working in healthcare or regulated environments
• Experience in healthcare software or compliance solutions is a plus