Tech S and T-Resilience and Reliability Consultant-Senior manager-GDSF02

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Site Reliability Engineering (SRE) Sr. Consultant (SM)

 

Description

 

• Site Reliability Engineering (SRE) is a modern way of delivering IT Operations by imbibing Software engineering principles in Service Delivery to reduce IT Risk to business, improve business resilience, attain predictability & reliability, optimize cost of IT Infra and Ops
• An SRE Architect / Consultant will be a technical advisor to strategize the transformation roadmap to modernize IT delivery with SRE principles, frameworks and levers – in a nutshell, setting up SRE into Enterprise IT
• They will also implement the SRE Roadmap and govern SRE solutions across the enterprise / line-of-businesses
• They will be able to assess SRE Maturity of an IT Organization and provide strategy and roadmap to achieve higher maturity levels

Responsibilities

• Defining SLA/SLO/SLI for a product / service
• Engineering in resilient design and implementation practices into solutions as they go through the product life cycle
• Designing & implementing Observability Solutions to track, report, and measure SLA adherence
• Engineering out manual effort (Toil) through the development of automated processes and services (e.g., Automated Management of Systems, CI/CD improvements)
• Optimize Cost of IT Infra & Operations - FinOps
• Review, Analysis and Improvement of deployed products with respect to product architecture and inter-service dependencies - Simplification

 

Typical Skills and Background

• 15+ years of experience in software product engineering principles, processes and systems
• Hands-on experience in Java / J2EE, one of web server (Apache Tomcat or IBM HTTP Server), one of the application servers (Tomcat/WebSphere), and any major RDBMS like Oracle
• Hands-on experience in at least one CI-CD (Azure DevOps, GitLab CI/CD, Jenkins) and IaC tools (Terraform, AWS CloudFormation, Ansible etc.)
• Experience in at least one cloud technology (AWS/Azure/GCP etc. and Docker, Pivotal, Kubernetes, OpenShift etc.) and its reliability tools (Azure AppInsight, CloudWatch, Azure Monitor etc.)
• Experience in Observability - APM tools (Dynatrace, AppDynamics etc.), metrics / log consolidation (Splunk) and ELK Stack
• Defining NFRs and SLA/SLO/SLI agreement for a product / platform / services
• Knowledge on queuing models used, thread pools, request servicing processes etc.
• Experience in Linux (RHEL) operating system performance monitoring parameters and their interpretation, commands used for monitoring
• Experience in Web Services, SOA, ESB (DataPower), RESTFul
• Knowledge of application design patterns, J2EE application architectures, Microservices, Spring boot & Cloud native architectures
• Proficiency in Java runtimes, Core Java, Garbage collection, JVM parameters tuning
• Experience in performance tuning on Application Servers (Tomcat/WAS)
• Experience in trouble shooting Performance / Scalability / Availability issues
• Thread dump, heap dump generation & analysis
• Knowledge on Query tuning and database architecture
• Knowledge at least one automation scripting language like Python
• Mastery of collaborative software development using Git, Jira, Confluence etc.
• AI/ML & Data Analytics knowledge and experience is a desirable

 

 

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