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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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