Role Proficiency:

Acts under minimum guidance of DevOps Architect to set up and manage DevOps tools and pipelines.

Outcomes:

     Interpret the DevOps Tool/feature/component design and develop/support the same in accordance with specifications      Follow and contribute existing SOPs to trouble shoot issues Adapt existing DevOps solutions for new contexts      Code debug test and document; and communicate DevOps development stages/status of DevOps develop/support issues      Select appropriate technical options for development such as reusing improving or reconfiguration of existing components      Support users onboarding them on existing tools with guidance from DevOps leads      Work with diverse teams with Agile methodologies      Facilitate saving measures through automation      Mentor A1 and A2 resources Involved in the Code Review of the team

Measures of Outcomes:

Schedule adherence Quality of the code Defect injection at various stages of lifecycle # SLA related to level 1 and level 2 support # of domain certification/ product certification obtained Facilitate saving measures through automation

Outputs Expected:

Automated components:

Deliver components that automate parts to install components/configure of software/tools in on-premises and on cloud Deliver components that automate parts of the build/deploy for applications

Configured components:

Configure a CI/CD pipeline that can be used by application development/support teams

Scripts:

Develop/Support scripts (like Powershell/Shell/Python scripts) that automate installation/ configuration/ build/ deployment tasks

Onboard users:

Onboard and extend existing tools to new app dev/support teams

Mentoring:

Mentoring and providing guidance to peers

Stakeholder Management:

Guide the team in preparing status updates; keeping management updated regarding the status

Data Base:

Data Insertion
Data update
Data Delete
Data view creations

Skill Examples:

     Install configure troubleshoot CI/CD pipelines and software using Jenkins/Bamboo/Ansible/Puppet /Chef/PowerShell /Docker/Kubernetes      Integrate with code/test quality analysis tools like Sonarqube/Cobertura/Clover      Integrate build/deploy pipelines with test automation tools like Selenium/Junit/NUnit      Scripting skills (Python Linux/Shell/Perl/Groovy/PowerShell)      Repository Management/Migration Automation – GIT/BitBucket/GitHub/Clearcase      Build automation scripts – Maven/Ant      Artefact repository management – Nexus/Artifactory      Dashboard Management & Automation- ELK/Splunk      Configuration of cloud infrastructure (AWS/Azure/Google)   Migration of applications from on-premises to cloud infrastructures   Working on Azure DevOps/ARM (Azure Resource Manager)/DSC (Desired State Configuration)   Strong debugging skill in C#/C Sharp/Dotnet Basic working knowledge of database

Knowledge Examples:

Knowledge of Installation/Config/Build/Deploy tools and knowledge of DevOps processes Knowledge of IAAS - Cloud providers (AWS/Azure/Google etc.) and their tool sets Knowledge of the application development lifecycle Knowledge of Quality Assurance processes Knowledge of Quality Automation processes & tools Knowledge of Agile methodologies Knowledge of security policies and tools

Additional Comments:

Sr. Splunk SME/Enterprise Monitoring Engineer Splunk SME/Enterprise Monitoring Engineer 5+ years of experience in IT infrastructure, DevOps, or monitoring roles. • 3+ years of hands-on experience with Splunk Enterprise as an admin, architect, or engineer. • Experience designing and managing large-scale, multi-site Splunk deployments. • Strong skills in SPL (Search Processing Language), dashboard design, and ing strategies. • Familiarity with Linux systems, scripting (e.g., Bash, Python), and APIs. • Experience with enterprise monitoring tools and integration with Splunk (e.g., AppDynamics, Dynatrace, Nagios, Zabbix, etc.). • Understanding of logging, metrics, and tracing in modern environments (on-prem and cloud). • Strong understanding of network protocols, system logs, and application telemetry. • Serve as the SME for Splunk architecture, deployment, and configuration across the enterprise. • Maintain and optimize Splunk infrastructure, including indexers, forwarders, search heads, and clusters. • Develop and manage custom dashboards, s, saved searches, and visualizations. • Implement and tune log ingestion pipelines using Splunk Universal Forwarders, HTTP Event Collector, and other data inputs. • Ensure high availability, scalability, and performance of the Splunk environment. • Creating dashboards, Reports, s, Advance Splunk Search, Visualization, log parsing and external table lookups • Expertise with SPL (Search Processing Language ) and understanding of Splunk architecture, including configuration files. • Wide Experience in monitoring and troubleshooting applications using tools like AppDynamics, Splunk, Grafana, Argos ,OTEL, etc. to build observability for large-scale microservice deployments. • Creating dashboards for various applications to monitor health, network issues and configure s. • Excellent problem-solving, triaging, and debugging skills in large-scale distributed systems • Establishing and documenting run books and guidelines for using the multi-cloud infrastructure and microservices platform. • Experience in optimized search queries using summary indexing. • Solid knowledge and experience in monitoring the Splunk infrastructure. • Develop a long-term strategy and roadmap for AI/ML tooling to support the AI capabilities across the Splunk portfolio. • Diagnose and resolve network-related issues affecting CI/CD pipelines, debug DNS, firewall, proxy, and SSL/TLS problems, and use tools like tcpdump, curl, and netstat for proactive maintenance. Enterprise Monitoring & Observability • Design and implement holistic enterprise monitoring solutions integrating Splunk with tools like AppDynamics, Dynatrace, Prometheus, Grafana, SolarWinds, or others. • Collaborate with application, infrastructure, and security teams to define monitoring KPIs, SLAs, and thresholds. • Build end-to-end visibility into application performance, system health, and user experience. • Integrate Splunk with ITSM platforms (e.g., ServiceNow) for event and incident management automation. Operations, Troubleshooting & Optimization • Perform data onboarding, parsing, and field extraction for structured and unstructured data sources. • Support incident response and root cause analysis using Splunk for troubleshooting and forensics. • Regularly audit and optimize search performance, data retention policies, and index lifecycle management. • Create runbooks, documentation, and SOPs for Splunk and monitoring tool usage.