Profile

Site Reliability Engineer • Observability • Production Support • Technical Support

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🎯 Career Objective

• Overall, 4 years of experience in Site Reliability Engineering & Observability platforms & IT Infrastructure & Applications Production Support and Java Support Engineer
• Experienced Observability Monitoring Engineer with over 3 years in administrative roles, specializing in providing 24/7 support for global customers in production environments.
• Proficient in APM monitoring tools such as DataDog, Grafana, Kibana, Dynatrace, Splunk, OMI, Tidal, and Sitescope. Skilled in managing SLOs, SLIs, and SLAs, and well-versed in ITIL frameworks including incident, change, major, and problem management. Proven ability in Datadog administration, dashboard creation, and monitoring services in production environments.
• API Development: Engineered secure and robust API endpoints for CRUD operations, ensuring data integrity and correct performance.
• Debugging & Maintenance: Adept at bug fixing and debugging complex applications to maintain system health.
• Frameworks: I have good knowledge in developing and troubleshooting applications using Spring Boot and Spring MVC.
• Timely Resolution: Committed to diagnosing and resolving system issues to minimize downtime and impact.

Monitoring & Observability

Proficient in the end-to-end administration of a comprehensive APM and monitoring stack, including:

Tools: Datadog

Grafana

Kibana

New Relic

Dynatrace

Splunk

• Datadog Administration: Onboarding services, configuring agents, and tuning metrics collection.
• Visualization: Designing and building insightful dashboards tailored to SLOs/SLIs and business KPIs.
• Alerting: Implementing and managing alert policies to reduce noise and improve MTTR.

Process & Framework

• Service Management: Skilled in managing SLOs, SLIs, and SLAs to align IT services with business goals.
• ITIL Practices: Well-versed in ITIL frameworks for Incident, Change, Major Incident, and Problem Management.

🔑 Key Skills

• ITIL: Incident, Change, Major Incident, Problem Management; SLOs, SLIs, SLAs (metrics, traces, logs).
• Alerting: success/error/composite alerts, threshold tuning, refinement, noise/toil reduction.
• App monitoring: triage in production, dev collaboration via JIRA, runbooks, dashboards, reporting.
• Tooling: Grafana (error insights), Kibana (log analysis), Datadog admin (monitors, dashboards), PagerDuty (on-call).
• Process: onboarding services to monitoring, gap analysis, RCA participation, weekly/monthly reporting.
• Programming: Java, Python (custom metrics, light instrumentation).

Professional Experience

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DXC Technology, Bangalore — Site Reliability Engineer (Dec 2022 – Present)

Client: Qatar Airways — Payments Monitoring Group

• Provided 24/7 support to global customers for payments applications in production environments.
• Managed AWS infrastructure (EC2, VPC, IAM, S3) supporting 50+ microservices and high-volume payment transactions with auto-scaling and fault tolerance
• Implemented SLOs, SLIs, SLAs to ensure performance and reliability goals were met and measured.
• Maintained 99.9%+ uptime for critical applications handling high-volume 􀏐inancial transactions.
• Designed and implemented Datadog dashboards, monitors, and SLO tracking, improving system visibility and proactive issue detection
• Led P1/P2 incident war rooms and RCA, reducing MTTR by 25% and preventing recurring production issues.
• Integrated CI/CD pipelines (Azure DevOps, Git, Maven) to enable reliable and faster deployments with reduced failure rates
• Reduced MTTR by 30% by developing Python automation scripts for alerting, log analysis, and incident response.
• Configured and monitored alerts with PagerDuty to ensure timely incident response and on-call rotations.
• Supported distributed microservices architecture with end-to-end monitoring across services using logs, metrics, and traces.
• Implemented Infrastructure as Code (Terraform) for provisioning and managing AWS resources
• Performed advanced observability tasks: custom dashboards, widgets, panels in DataDog; threshold tuning; noise reduction in alerts.
• Collaborated with development teams to debug Java/Spring Boot applications, analyzing logs, JVM metrics, and API performance
• Improved monitoring ef􀏐iciency by reducing alert noise and false positives, enhancing operational response time.
• Deployed and managed containerized applications on Kubernetes, handling pod failures (CrashLoopBackOff), auto-scaling, and resource optimization.

Wipro, Bangalore — Site Reliability Engineer (Apr 2022 – Nov 2022)

Client: Enterprise Solutions — Payments Monitoring

• Provided 24/7 L1/L2 support to global customers for critical payments applications in production environments.
• Managed and administered the APM/Monitoring stack: Datadog, Grafana, Kibana, OMI, Tidal, SiteScope.
• Configured and tuned alert thresholds, significantly reducing noise from ineffective alerts and improving signal clarity.
• Monitored and supported applications, services, and batch jobs across multiple platforms to ensure system health.
• Created and escalated JIRA tickets to development teams for faster incident resolution and tracking.
• Prepared structured incident checklists and runbooks, sharing clear documentation with clients and business teams.
• Defined and monitored SLA/SLI metrics for payment services using Datadog to uphold service quality agreements.
• Built and customized JIRA dashboards based on project requirements to streamline workflow and visibility.
• Configured PagerDuty for effective alerting and implementing escalation workflows to ensure on-call responsiveness.
• Performed detailed incident analysis and engaged with Root Cause Analysis (RCA) teams to drive long-term fixes.
• Generated and shared daily, weekly, and monthly status reports with business stakeholders to communicate system health and incidents.
• Conducted basic front-end troubleshooting of applications and engaged next-level support teams for complex issues.
• Provided front-line and second-level IT operations support, ensuring outstanding client service delivery.
• Supported weekend server patching activities, including comprehensive pre- and post-patching validation checks.

🛠️ Technical Stack

📊 Monitoring & Observability

🎫 Ticketing Systems

☁️ Cloud Platforms

💻 Programming Languages

🗄️ Databases

🔄 CI/CD

📋 Practices & Frameworks

🖥️ Operating Systems

⚠️ Alerting & Performance

🎯 Java Ecosystem

Contact Me

If you’d like to collaborate, ask a question, or just say hello — feel free to drop a message!

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