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