DevOps / Site Reliability Engineer

#DevOps #SiteReliabilityEngineer(SRE) #Contract2Hire #C2H #AWS #PythonAutomation #Kubernetes #InfrastructureasCode(IaC) #CI/CD #EC2 #s3 #EKS #Lambda #ImmediateHiring #urgentposition Hello Connections, Hope you are doing good. #Only USC & GC #Exp 14+ Years Must Job Title: DevOps / Site Reliability Engineer (SRE) Location: Seattle, WA (98109) / Austin, TX (78753) Employment Type:C2H Work Model: Hybrid / Remote flexibility available In-person interview required We are looking for a highly skilled DevOps / SRE Engineer with strong expertise in Python automation, Kubernetes, and AWS cloud platforms. The ideal candidate will be responsible for building, automating, and maintaining highly scalable, reliable infrastructure systems, while improving deployment efficiency and system observability. 🛠️ Key Responsibilities Infrastructure & Automation Design, build, and maintain scalable cloud infrastructure on AWS Develop automation scripts using Python to streamline operations Implement Infrastructure as Code (IaC) practices Kubernetes & Containerization Deploy, manage, and scale applications using Kubernetes Monitor containerized environments and optimize performance Ensure high availability and fault tolerance of services Reliability & Monitoring (SRE Focus) Maintain system reliability, uptime, and performance Implement monitoring, logging, and alerting solutions Troubleshoot production issues and perform root cause analysis CI/CD & DevOps Practices Build and maintain CI/CD pipelines Enable faster, reliable deployments across environments Collaborate with development teams to improve release cycles Collaboration Work closely with engineering, QA, and product teams Participate in incident management and on-call rotations (if applicable) 🧩 Required Skills Must Have 5+ years of experience in: DevOps / SRE practices Python (Automation & Scripting) Kubernetes AWS (EC2, S3, EKS, Lambda, etc.) 🎯 Top 3 Responsibilities Build and manage AWS-based cloud infrastructure Automate workflows and operations using Python Deploy and manage applications on Kubernetes 🚀 Role Expectations Deliver highly reliable and scalable systems Proactively identify and resolve infrastructure issues Continuously improve automation and deployment processes 📊 Performance Expectations System uptime and reliability metrics (SLA/SLO adherence) Efficiency of CI/CD pipelines and deployment cycles Reduction in manual operations through automation Please Share Updated resume to [Upgrade to PRO to see contact]