Note: The job is a remote job and is open to candidates in USA. Infinite Computer Solutions is hiring a Site Reliability Engineer to support the migration of business-critical applications from on-premises infrastructure to AWS and GCP. The role focuses on reliability engineering, cloud operations, observability, infrastructure automation, incident response, and operational excellence.

Responsibilities

• Design and implement reliability strategies supporting migration of enterprise applications to AWS and GCP
• Establish Service Level Indicators (SLIs), Service Level Objectives (SLOs), and reliability metrics for critical business services
• Partner with application, infrastructure, database, security, and cloud architecture teams to improve platform stability and operational readiness
• Develop operational runbooks, recovery procedures, and automated response mechanisms
• Design and implement enterprise monitoring and observability solutions
• Develop dashboards, alerts, health checks, synthetic monitoring, and operational reporting
• Utilize Dynatrace, Splunk, Moogsoft, CloudWatch, and GCP Operations Suite to improve visibility into application and infrastructure performance
• Create proactive alerting strategies that reduce operational risk and improve incident response
• Develop and maintain Infrastructure as Code (IaC) using Terraform
• Support enterprise landing zones, cloud provisioning, configuration management, and platform automation
• Implement CI/CD and GitOps practices supporting cloud-native deployments
• Partner with cloud platform teams to standardize reusable infrastructure patterns
• Participate in production support, incident response, and root cause analysis activities
• Lead efforts to reduce recurring incidents through automation and engineering improvements
• Develop resiliency testing, failover validation, disaster recovery, and operational readiness procedures
• Drive reliability improvements through performance testing, capacity planning, and fault analysis
• Leverage Copilot, Codex, and similar AI-enabled tools to accelerate automation development, observability configuration, scripting, troubleshooting, documentation, and operational analysis
• Use AI to improve incident analysis, runbook generation, alert optimization, and reliability engineering workflows
• Establish SRE standards and operational readiness frameworks for migrated cloud workloads
• Implement automated monitoring, alerting, and incident response capabilities
• Improve application availability, reliability, observability, and recovery times
• Deliver reusable Terraform modules and operational automation assets
• Reduce operational toil through automation and AI-assisted engineering practices
• Build strong partnerships across cloud engineering, development, infrastructure, database, security, and operations teams
• Help ensure cloud migrations are completed with minimal disruption and maximum reliability

Skills

• Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent experience
• 8+ years of experience in Site Reliability Engineering, Platform Engineering, Cloud Operations, DevOps, Infrastructure Engineering, or Systems Engineering
• Demonstrated experience supporting migrations from on-premises environments to AWS and/or GCP
• Deep hands-on experience with Terraform and Infrastructure as Code practices
• Experience working within enterprise landing zones, cloud governance models, IAM, networking, security controls, and operational guardrails
• Experience with Splunk, Dynatrace, and Moogsoft
• Strong scripting and automation experience using PowerShell, Python, Bash, or similar technologies
• Experience with GitLab, CI/CD pipelines, deployment automation, and DevSecOps practices
• Strong understanding of cloud networking, DNS, load balancing, certificates, secrets management, and security best practices
• Experience using Jira and ServiceNow in enterprise operational environments
• Experience within fintech, payments, banking, or highly regulated industries
• AWS, GCP, Terraform, Kubernetes, or SRE certifications
• Experience with Kubernetes, containers, service mesh, and cloud-native architectures
• Familiarity with SQL Server, database performance monitoring, and application dependency mapping
• Experience supporting enterprise-scale production systems with stringent uptime requirements

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