Tech S and T -Resilience And Reliability Architect-Manager-GDSF02

7 days ago

Noida, IndiaStaff+

Responsibilities

Define SLA, SLO, and SLI requirements and agreements for products, platforms, and services.
Design and implement resilient solutions throughout the product lifecycle.
Design and implement observability solutions to measure and report SLA adherence.
Automate manual operational effort through management processes, services, and CI/CD improvements.
Optimize infrastructure and operations costs through FinOps practices.
Design enterprise SRE roadmaps, assess organizational SRE maturity, and implement SRE solutions across business lines.
Troubleshoot and tune application performance, scalability, and availability, including analysis of thread dumps and heap dumps.

12+ years of experience with software product engineering principles, processes, and systems.
Hands-on experience with Java/J2EE, a web server such as Apache Tomcat or IBM HTTP Server, an application server such as Tomcat or WebSphere, and a major relational database such as Oracle.
Experience with at least one CI/CD tool and infrastructure-as-code tool, including Azure DevOps, GitLab CI/CD, Jenkins, Terraform, AWS CloudFormation, or Ansible.
Experience with cloud, container, and orchestration technologies such as AWS, Azure, GCP, Docker, Pivotal, Kubernetes, or OpenShift, plus related reliability tools.
Experience with observability and APM tools such as Dynatrace or AppDynamics, log and metric consolidation with Splunk, and the ELK Stack.
Experience monitoring Linux/RHEL performance and interpreting monitoring parameters and commands.
Experience with web services, SOA, ESB/DataPower, and RESTful systems.
Knowledge of non-functional requirements, queuing models, thread pools, request servicing, application design patterns, J2EE architectures, microservices, Spring Boot, and cloud-native architectures.
Proficiency in Java runtimes, Core Java, garbage collection, JVM parameter tuning, application-server performance tuning, query tuning, and database architecture.
Knowledge of at least one automation scripting language such as Python.
Mastery of collaborative software development using Git, Jira, and Confluence.
AI/ML and data analytics knowledge and experience are desirable.

10,000+ employees