Site Reliability Engineer (Ex - Fidelity Exp)
Role: Site Reliability Engineer (Ex - Fidelity Exp)Location: RemotePosition Type: ContractKey ResponsibilitiesDesign, 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 Qualifications5-7 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 QualificationsExperience 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 QualitiesProactive 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
Originally posted on Himalayas
Apply Now
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 Qualifications5-7 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 QualificationsExperience 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 QualitiesProactive 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
Originally posted on Himalayas
Apply Now