Observability Manager

Job Description

• Working Knowledge of Python, and SQL/NoSQL Database
• Good knowledge of utilizing AWS services and Azure services.
• Strong knowledge in planning, designing, and maintaining applications utilizing Docker, Kubernetes, Jenkins, Nginx, Linux, New Relic, Data Dog
• SME in enterprise monitoring like APM, synthetic monitoring, browser monitoring, and Log monitoring
• Knowledge of requirement gathering and rollout monitoring and observability solutions. Partner with the business and development teams to identify requirements, define monitoring solutions, and implement the same.
• Expert organizational and communication skills with the ability to multi-task and quickly contribute in a fast-paced, dynamic environment.
• Ability to handle multiple projects and able to create a scope of work to the client’s requirements.
• Experience in Application Performance Monitoring (APM) and Infrastructure Monitoring for Different Hybrid Business Applications and Infrastructure
• Providing health and performance reports, developing AIOps rules, creating alerts, creating custom dashboards
• Experience in integrating New Relic with other tools such as Service-Cafe, PagerDuty, Slack, webhooks, and JIRA.
• Experience in creating workloads and user onboarding.
• Effective and efficient operational support of different enterprise monitoring tools (New Relic, SolarWinds,) is preferred.
• Assisting application support teams in developing and deploying an effective monitoring profile for their key applications and services using various monitoring techniques
• IT certification (ITIL) or equivalent is preferable.
• Adaptability of new monitoring tools and platforms.
• Good experience in MS Excel, formulas, pivot tables, and chart creation.
• Good presentation and communication skills (both verbal and written).
• Strong interpersonal skills and ability to collaborate with cross-functional teams.
• Strong organizational, problem-solving, and analytical skills.
• NRQL and Dashboard ( GraphQL API, NRQL builder, charts and dashboard using NRQL , PromQL and exports data using NRQL, etc.)
• APM Monitoring (Java, .NET, PHP, ruby, python, Go, C SDK, Node.js monitoring, APM transaction, logs, etc.).
• Alerts & AI (Alert policy, condition, anomaly detection, sources, decisions, Muting rules, workflows, destinations, events, and incidents).
• Mobile App monitoring (Android, iOS , Cardova, React Native monitoring, crash, transaction, logs monitoring of mobile app and dashboard creation).
• Browser Monitoring (pageview, Ajax requests, session performance, JavaScript error, page load timing, browser agent, Real user monitoring) coding (python, JScript, terraform).