Job Responsibilities :

- Engineer comprehensive APM solutions and establish clear standards for APM and agent deployments across all environments.

- Define best practices for APM configuration, optimizations, and tunings based on specific application and business requirements.

- Drive the adoption and effective usage of APM tools within Cloud IaaS (Infrastructure-as-a-Service) and PaaS (Platform-as-a-Service) models.

- Devise a robust authentication and authorization model for our APM platform, aligning with the client's standard security framework.

- Develop necessary customizations and automation scripts to enforce security policies and streamline user access management within the APM environment.

- Architect a universally available and highly scalable APM infrastructure with appropriate built-in monitoring and alerting mechanisms to ensure the health and performance of the APM platform itself.

- Proactively seek and deploy opportunities for automated deployments of APM agents and configurations to significantly reduce manual operational tasks and improve consistency.

- Identify and implement opportunities for seamless integration of the APM platform with other existing monitoring tools within the client's portfolio, creating a unified observability landscape.

- Thoroughly test and implement APM Monitoring Extensions that are appropriate for the client's diverse technology stack, including web servers (i.e., Apache, Tomcat) and messaging tiers (Kafka, RabbitMQ).

- Expertly create, rigorously test, and implement APM Agents for comprehensive application monitoring of both Java and DotNet-based applications.

- Provide leadership and guidance in performance troubleshooting efforts, leveraging APM data to identify root causes and recommend effective remediation strategies.

- Implement and optimize End User Experience Monitoring solutions within the APM framework to gain critical insights into application responsiveness and user satisfaction.

- Proficiently write and execute Ansible playbooks (Run/Code Ansible) for infrastructure automation and configuration management.

- Develop and maintain Azure DevOps (AZDO) pipelines for automated deployment and management of APM components.

- Possess strong working knowledge of various operating systems, including Linux, Windows, and AIX, and their impact on application performance and monitoring.

- Utilize Git for effective version control of configurations, scripts, and other APM-related artifacts.

- Leverage advanced Python coding skills for developing custom monitoring scripts, automation tasks, and data analysis.

- Demonstrate strong communication skills to effectively articulate technical concepts and collaborate with cross-functional teams.

- Understand and apply SAFe DevOps Scaled Agile Methodology principles within the context of APM implementation and management.

- Possess knowledge and practical usage of containerization platforms like OpenShift (Kubernetes) and their impact on application monitoring.

- Demonstrate strong knowledge and practical usage of various observability tools beyond traditional APM, such as Elastic (ELK Stack), Grafana, Prometheus, and OpenTelemetry (OTEL).

Education & Experience :

- 7+ years of total experience in IT.

- At least 4+ years of dedicated experience in Application Performance Monitoring (APM) tools, agent deployments, and implementation of APM Agents specifically for Java and DotNet-based applications.

- Proven experience with Elastic Monitoring (Elasticsearch, Kibana, Beats, Logstash).

- Demonstrated experience in performance troubleshooting and root cause analysis using APM data.

- Hands-on experience with End User Experience Monitoring (EUEM) tools and techniques.

- Practical experience with Apache and Tomcat web server monitoring.

- Proficient in writing and executing Ansible playbooks for automation.

- Experience in developing and maintaining Azure DevOps (AZDO) pipelines.

- Strong operating system knowledge (Linux, Windows, AIX).

- Proficient in using Git for version control.

- Advanced Python coding skills for automation and scripting.

- Excellent written and verbal communication skills.

- Familiarity with SAFe DevOps Scaled Agile Methodology.

- Experience with OpenShift (Kubernetes) and containerized application monitoring.

- Solid understanding and practical usage of Observability tools (Elastic, Grafana, Prometheus, OTEL)