Site Reliability Engineer (SRE)

Design and implement reliability strategies supporting migration of enterprise applications to AWS and Google Cloud Platform. 

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 Google Cloud Platform 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. 

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 Google Cloud Platform. 

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, Google Cloud Platform, 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. 

AWS, Google Cloud Platform (Google Cloud Platform) ,Terraform, GitLab, Jira, ServiceNow 

Dynatrace, Splunk, Moogsoft 

Kubernetes, PowerShell, Python, CloudWatch 

Google Cloud Platform Operations Suite 

Enterprise Landing Zones 

CI/CD & DevSecOps Toolchains 

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.