Job Description

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

JD for Resilience And Reliability M :

Resilience And Reliability Engineering Architect (M)

Description

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

Typical Skills and Background

12+ 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 Experience in Linux (RHEL) operating system performance monitoring parameters and their interpretation, commands used for monitoring Experience in Web Services, SOA, ESB (DataPower), RESTFul Defining NFRs and SLA/SLO/SLI agreement for a product / platform / services Knowledge on queuing models used, thread pools, request servicing processes etc. 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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