Senior Reliability Engineer:

 

Senior Reliability Engineer (Senior level)

Description 

  Reliability Engineering (SRE) is a modern way of delivering IT Solutions 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 A Reliability Engineer typically has deep software engineering experience encompassing design, build, deploy and manage / maintain an IT solution ensuring resilience, reliability, and performance. A Reliability Engineer is a bridge between development and operations by applying a software engineering mindset to the development, deployment, and maintenance of applications to maximize system reliability & automation, while improving efficiencies by optimizing resources

 

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 Engineering out manual effort (Toil) through the development of automated processes and services (e.g., Automated Management of Systems, CI/CD improvements) Developing Observability Solutions to track, report, and measure SLA adherence Help Optimize Cost of IT Infra & Operations - FinOps Critical Situation management SOP / Runbook automation, Toil reduction Data Analytics & System trend analysis

 

Typical Skills and Background        

  7+ 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 Linux (RHEL) operating system performance monitoring parameters and their interpretation, commands used for monitoring 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. Knowledge 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 Experience in Thread dump, heap dump generation & analysis Knowledge on Query tuning and database designs & models Knowledge at least one automation scripting language like Python Mastery in collaborative software development using Git, Jira, Confluence etc. AI/ML & Data Analytics knowledge and experience is a desirable