Site Reliability Engineer SRE
Site Reliability Engineer SRE
Posted on :
18-10-2024
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Job Description
At least 10 years of experience defining and implementing Monitoring solutions alerts Telemetry and instrumentation for onpremises and cloud platforms for large enterprises
Site Reliability Engineer will be playing a key role in building Observability and Resilience capabilities on cloud platform (Azure). Responsibilities of the SRE will be:
Build and configure alerts tracing telemetry and instrumentation required for Infrastructure Monitoring and Application Performance Management.
Role entails implementing dashboards to monitor and share Observability at various levels (engineering teams portfolio senior management).
Support resilience engineering (application and infrastructure resilience) to meet availability requirements.
Work with development engineers cloud engineers product teams and support engineers to gather requirements implement and evolve observability and resilience solutions.
Key Skillsets :
Extensive knowledge on Observability and Application Performance Monitoring best practices KPIs/metrics on Cloud platforms
Experience in monitoring tools Dynatrace and Splunk
Experience with incident resolution (oncall support) application errors and performance troubleshooting using Dynatrace and Splunk to assist application team on root cause analysis
Experience working with SLO and Error budget understanding of SLA/SLI/SLO
Expertise with Splunk Query Language
Experience building monitoring solutions for containerbased workloads (Java / Spring boot desirable) databases Kafka and Kubernetes
Experience in resilience engineering and implementing high availability solutions
Experience creating Monitoring dashboards using Dynatrace and Splunk
Ability to work in a fast paced and agile environment
SRE Maturity Level 3 (Expectation)
DevOps Observability
DORA Metrics are visible .
Deployment frequency Mean Time To Restore (MTTR) Cycle time Change failure rate
IaC (Infrastructure as Code)
Platforms leverage IaC .
Test / Release automation
Unit tests
Test in a vacuum
Integration tests
Load test results validated against SLOs .
Test run as part of CI/CD pipeline .
Automated rollback
Business Continuity Plan for Recovering Service(s)
Capacity planning review
Show saturation of service as compared to load test and production peak load .
Product Management (Security)
Security scanning
Documented procedures for Vulnerability Management
Integrated into CI/CD pipeline (partner with security)
Site Reliability Engineer will be playing a key role in building Observability and Resilience capabilities on cloud platform (Azure). Responsibilities of the SRE will be:
Build and configure alerts tracing telemetry and instrumentation required for Infrastructure Monitoring and Application Performance Management.
Role entails implementing dashboards to monitor and share Observability at various levels (engineering teams portfolio senior management).
Support resilience engineering (application and infrastructure resilience) to meet availability requirements.
Work with development engineers cloud engineers product teams and support engineers to gather requirements implement and evolve observability and resilience solutions.
Key Skillsets :
Extensive knowledge on Observability and Application Performance Monitoring best practices KPIs/metrics on Cloud platforms
Experience in monitoring tools Dynatrace and Splunk
Experience with incident resolution (oncall support) application errors and performance troubleshooting using Dynatrace and Splunk to assist application team on root cause analysis
Experience working with SLO and Error budget understanding of SLA/SLI/SLO
Expertise with Splunk Query Language
Experience building monitoring solutions for containerbased workloads (Java / Spring boot desirable) databases Kafka and Kubernetes
Experience in resilience engineering and implementing high availability solutions
Experience creating Monitoring dashboards using Dynatrace and Splunk
Ability to work in a fast paced and agile environment
SRE Maturity Level 3 (Expectation)
DevOps Observability
DORA Metrics are visible .
Deployment frequency Mean Time To Restore (MTTR) Cycle time Change failure rate
IaC (Infrastructure as Code)
Platforms leverage IaC .
Test / Release automation
Unit tests
Test in a vacuum
Integration tests
Load test results validated against SLOs .
Test run as part of CI/CD pipeline .
Automated rollback
Business Continuity Plan for Recovering Service(s)
Capacity planning review
Show saturation of service as compared to load test and production peak load .
Product Management (Security)
Security scanning
Documented procedures for Vulnerability Management
Integrated into CI/CD pipeline (partner with security)
Employment Type
Full Time
Key Skills
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