DET-TT-Resilience - Reliability Consultant -GDSN04

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Resilience & Reliability Engineering Consultant (SM) 

Description 

• Resilience & Reliability are fundamental to ensure modern architectures are available, performant and fault aware.
• A Resilience & Reliability Consultant will help in designing the roadmap to achieve Resilience for Enterprise IT 
• An Reliability 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 Reliability / SRE Roadmap and govern SRE solutions across the enterprise / line-of-businesses 
• They will be able to assess Resilience & Reliability 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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