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Site Reliability Engineer (Ex – Fidelity Exp)

Axiom Software Solutions Limited

United States

Remote

USD 100,000 - 130,000

Part time

Today
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Job summary

A technology company is seeking a Remote Site Reliability Engineer with 5-7 years of experience in SRE or DevOps roles. The ideal candidate will design and manage Kubernetes environments, build scalable infrastructure, and implement CI/CD pipelines. Strong expertise in Linux/Unix and programming skills in Python, Go, Java, or Node.js are essential for this role. This position offers the opportunity to work with a collaborative team focused on continuous improvement.

Qualifications

  • 5-7 years of experience in SRE or DevOps roles.
  • Strong expertise with the Kubernetes ecosystem.
  • Deep understanding of Linux/Unix operating systems.

Responsibilities

  • Design and manage Kubernetes environments.
  • Build scalable infrastructure using infrastructure as code.
  • Implement CI/CD pipelines for seamless deployments.

Skills

Kubernetes expertise
Linux/Unix performance analysis
Programming skills in Python/Go/Java/Node.js
Database performance tuning
Job description
Overview

Role: Site Reliability Engineer (Ex – Fidelity Exp)

Location: Remote

Position Type: Contract

Responsibilities
  • Design, implement, and manage Kubernetes environments from deployment to configuration, monitoring, and troubleshooting
  • Build and maintain scalable and reliable infrastructure using infrastructure as code principles
  • Develop comprehensive monitoring solutions and implement alerting strategies
  • Analyze system performance bottlenecks and implement improvements
  • Implement and maintain CI/CD pipelines for seamless deployments
  • Conduct incident response, root cause analysis, and implement preventative measures
  • Create and enhance automation tools leveraging AI/ML where applicable
  • Collaborate with development teams to improve application reliability and performance
Required Qualifications
  • 5-7 years of experience in SRE or DevOps roles
  • Strong expertise with Kubernetes ecosystem and container orchestration
  • Deep understanding of Linux/Unix operating systems and performance analysis tools (NMON, etc.)
  • Experience with log analysis, monitoring systems, and observability tools
  • Proficiency in database administration and performance tuning (Oracle, SQL Server)
  • Strong programming skills in at least one of: Python, Go, Java, or Node.js
  • Experience developing automation tools and frameworks
  • Proven track record of proactive problem identification and resolution
Preferred Qualifications
  • Experience with AI/ML integration into operational workflows
  • Cloud platform experience (AWS, GCP, Azure)
  • Knowledge of service mesh technologies
  • Experience with distributed systems architecture
  • Familiarity with security best practices and compliance requirements
Personal Qualities
  • Proactive mindset with strong analytical and problem-solving abilities
  • Collaborative approach to working across development and operations teams
  • Excellent communication skills and ability to explain complex technical concepts
  • Self-motivated with the ability to work independently and as part of a team
  • Passion for continuous improvement and learning
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