Remote Site Reliability Engineer (Ex - Fidelity Exp)

at Axiom Software Solutions Limited

Posted 3 days ago 1 applied

Description:

  • The role is for a Site Reliability Engineer with prior experience at Fidelity.
  • This is a remote contract position.
  • Key responsibilities include designing, implementing, and managing Kubernetes environments from deployment to configuration, monitoring, and troubleshooting.
  • The engineer will build and maintain scalable and reliable infrastructure using infrastructure as code principles.
  • They will develop comprehensive monitoring solutions and implement alerting strategies.
  • The role involves analyzing system performance bottlenecks and implementing improvements.
  • The engineer will implement and maintain CI/CD pipelines for seamless deployments.
  • Conducting incident response, root cause analysis, and implementing preventative measures is also part of the job.
  • They will create and enhance automation tools leveraging AI/ML where applicable.
  • Collaboration with development teams to improve application reliability and performance is essential.

Requirements:

  • Candidates must have 5-7 years of experience in SRE or DevOps roles.
  • Strong expertise with the Kubernetes ecosystem and container orchestration is required.
  • A deep understanding of Linux/Unix operating systems and performance analysis tools (such as NMON) is necessary.
  • Experience with log analysis, monitoring systems, and observability tools is essential.
  • Proficiency in database administration and performance tuning for Oracle and SQL Server is required.
  • Strong programming skills in at least one of the following languages: Python, Go, Java, or Node.js are necessary.
  • Experience in developing automation tools and frameworks is required.
  • A proven track record of proactive problem identification and resolution is essential.

Benefits:

  • The position offers the flexibility of remote work.
  • It provides an opportunity to work on cutting-edge technologies and improve operational workflows.
  • The role encourages continuous improvement and learning in a collaborative environment.
  • Employees will have the chance to enhance their skills in AI/ML integration and cloud platforms.
  • The position fosters a proactive mindset and strong analytical and problem-solving abilities.