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Matlen Silver

DevOps Engineer/SRE

Career Insights for Site Reliability Engineer

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What they do

A Site Reliability Engineer is responsible for designing, implementing, and maintaining highly reliable and scalable software systems and infrastructure. They emphasize automation, code-driven infrastructure, and the use of software tools to manage systems efficiently. Monitors performance within production environments, identifies causes of incidents, and implements preventative measures to ensure software reliability.

$125,134 / year median in New Jersey

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Job Description

Due to the client's requirements this role is only open for USC/GC (W2 only)
Position Summary:
6-9 years of professional experience in DevOps, SRE, Cloud Engineering, Software Engineering, or a related discipline. Strong hands-on experience in DevOps and/or Site Reliability Engineering. Strong experience developing and maintaining CI/CD pipelines. Strong Python development experience. Experience with AWS cloud technologies and cloud infrastructure. Hands-on experience with Amazon EKS and/or Kubernetes. Experience with Infrastructure as Code (IaC) and infrastructure automation. Strong understanding of Linux/server administration fundamentals. Working knowledge of networking concepts and infrastructure troubleshooting. Experience with deployment automation and enterprise application environments. Strong understanding of application reliability, resiliency, scalability, and availability. Strong problem-solving skills and the ability to independently troubleshoot complex technical issues. Ability to quickly learn new technologies and apply them in a production environment. Strong communication and collaboration skills. Preferred Qualifications Experience with Java development. Strong Amazon EKS / Kubernetes experience. Experience with Docker and containerization. Experience with cloud-native application deployment. Experience with Jenkins, Maven, Git, or similar CI/CD technologies. Experience with Terraform, CloudFormation, or other IaC tools. Experience with monitoring, observability, logging, and operational automation. Experience supporting large-scale enterprise applications or platforms. Experience with security engineering or secure software development practices. Exposure to AI/ML technologies or AI-enabled applications. Experience with Agile/Scrum development methodologies.