Senior Cloud Infrastructure Engineer
3 weeks ago
Senior SRE Engineer
ERPMARK INC
Full time
Design, implement, and maintain complex data systems that support millions of customers using Cloud Native principles and best practices to ensure highly available, secure, performant, and scalable database systems.
Develop and maintain CI/CD pipelines in Jenkins to automate the build, test, and deployment process.
Build and deploy services in Kubernetes clusters using helm, kustomize, and other tools to ensure efficient and reliable service delivery.
Collaborate with the infrastructure team to design and implement infrastructure changes in AWS, leveraging deep knowledge of AWS services to ensure optimal performance and security.
Participate in on-call rotations for pre-production and production systems, supporting multi-million users and ensuring prompt resolution of incidents.
Contribute to the creation of RCA documents to prevent recurrence of incidents and share learnings with the team.
Engage in major system upgrades, deployment automation, monitoring enhancements, and production changes to ensure continuous improvement and reliability.
Develop operational playbooks, contribute to how-to articles, and gain domain knowledge to drive changes in the team and improve operational excellence.
Participate in FMEA/Chaos testing, security remediations, and other initiatives to ensure the highest level of reliability and security.
Share best practices and patterns for operational excellence and cost optimization with the team.
Automate manual steps to reduce or eliminate them and increase developer velocity and productivity.
Qualifications:
Bachelor's or master's degree in computer science or a related technical field. Equivalent experience will be considered.
4+ years of hands-on development and operational experience with building and maintaining infrastructure in AWS.
Extensive performance monitoring, troubleshooting, and tuning experience.
Experience with AWS services and hands-on knowledge of hosting on Cloud.
Experience with scripting languages for DevOps automation.
Experience with any one of the programming languages: Java, Python, Ruby.
Knowledge of Docker and Kubernetes, ArgoCD, and other related technologies.
Experience with monitoring and observability using Splunk, Wavefront, AppDynamics, Prometheus, Tracing, and other tools.
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