Job Summary:We are seeking a highly skilled Cloud Engineer with deep expertise in monitoring distributed microservices deployed in Azure environments. The ideal candidate will lead the design and implementation of end-to-end observability solutions using Splunk, ensuring robust performance, scalability, and reliability across our microservices architecture.This role will be instrumental in driving monitoring strategies, incident response automation, and operational excellence for mission-critical applications.Key Responsibilities:Design, implement, and maintain comprehensive monitoring solutions for distributed microservices running on Azure Kubernetes Service (AKS)Leverage Splunk for log ingestion, custom dashboards, alerting, and advanced analyticsIntegrate Istio service mesh observability (telemetry, tracing, logging) into monitoring frameworksImplement Twistlock (Prisma Cloud) policies for container and workload security monitoringConfigure and monitor Azure-native services: APIM, Cosmos DB, SQL Server, and Azure NetworkingUse Terraform to manage infrastructure as code, ensuring observability is embedded in deploymentsWork with Azure DevOps (AzDO) to build and optimize CI/CD pipelines with integrated monitoring hooksUtilize Azure Chaos Studio to test system resilience and incorporate findings into monitoring improvementsSupport automated API and performance testing using Karate Labs in conjunction with observability toolingCollaborate with development, security, and operations teams to define SLAs, SLOs, and SLIsParticipate in incident response, root cause analysis, and continuous improvement processesRequired Qualifications:5+ years of experience in DevOps, Site Reliability Engineering, or Cloud Operations roles3+ years of hands-on experience with Splunk in a microservices environmentProven experience with Azure Kubernetes Service (AKS) and IstioStrong understanding of Azure services, including Cosmos DB, SQL Server, APIM, and virtual networkingExperience implementing Twistlock, Terraform, and Azure DevOps (AzDO) pipelinesFamiliarity with Azure Chaos Studio and Karate Labs for testing and validationStrong scripting and automation skills (e.g., PowerShell, Bash, Python)Excellent troubleshooting, communication, and collaboration skillsPreferred Qualifications:Azure certifications (e.g., AZ-400, AZ-104, AZ-305)Experience with other observability tools (Prometheus, Grafana, OpenTelemetry)Knowledge of DevSecOps practices and secure CI/CD pipelinesAbout VRIZE INCVRIZE is a Global Digital & Data Engineering company, committed to delivering end-to-end Digital solutions and services to its customers worldwide. We offer business-friendly solutions across industry verticals that include Banking, Financial Services, Healthcare & Insurance, Manufacturing, and Retail. The company has strategic business alliances with industry leaders such as Adobe, IBM Sterling Commerce, IBM, Microsoft, Docker, Sisense, Competera, Snowflake, and Tableau.VRIZE is headquartered out of Tampa (Florida) with a team size of 410 employees globally, currently, 100% of the clients undertaken are in the United States. Delivery centers are distributed in the US, Canada, Serbia, and India. Having stellar growth and future projections of 100% YOY for the last 3 years, the company has been successfully addressing its clients’ digital disruption needs. Our continued success depends to a large extent on our ability to remain at the forefront of disruptive developments in the field of information technology and leaders/team members joining the force are expected to replicate the same.VRIZE is an equal-opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, marital status, age, national origin, ancestry, disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Individuals with disabilities are provided reasonable accommodation.
Job Title
Cloud Engineer