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Lingala Raju

Lingala Raju

Site Reliability Engineer | Observability, Monitoring & AWS Cloud Infrastructure

Talent
HyderabadMember since August 15, 2026
Incident responseRoot cause analysis (RCA)ElasticsearchLogstashKibanaELK StackElastic AgentsFleet ServerDashboardingVisualizationAWS EC2AWS S3AWS Cloud fundamentalsKubernetesLinuxAnsibleInfrastructure automationPythonBashRole-based access mappingSAML-based SSOGrokMutateDate filtersIndex Lifecycle Management (ILM)JIRAServiceNowConfluenceKafkaElastic APM
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Incident responseRoot cause analysis (RCA)ElasticsearchLogstashKibana

About

Site Reliability / DevOps Engineer with 4+ years of experience supporting critical production systems, diagnosing complex infrastructure issues, and driving observability across Linux and AWS environments. Hands-on background in root cause analysis (RCA) and incident resolution, building monitoring, alerting, and dashboarding solutions (ELK Stack, Elastic Agents/Fleet, Beats) tied to SLO/SLA standards, and automating operational tasks with Python and Bash. Experienced with Kubernetes, Ansible-driven infrastructure automation, AWS EC2/S3, and secure access configuration (AD/LDAP, SAML SSO, TLS/SSL) and event stemming using Kafka.

Comfortable operating in on-call and cross-team support models, documenting runbooks and troubleshooting guides, and collaborating with engineering teams to improve system reliability and reduce operational overhead.

Experience

DevOps Engineer – Elastic Stack / Cloud Monitoring at Tata Consultancy Services (TCS) (2022-02 – Present)

  • Act as first responder for critical business system issues, diagnosing and resolving Red/Yellow cluster health incidents (shard unassignment, disk watermark breaches, ingestion overload) through structured root cause analysis, restoring service stability and documenting remediation steps.
  • Architected, deployed, and maintained Elasticsearch, Logstash, Kibana, and Beats infrastructure across Linux server environments, delivering centralized, observability-grade log monitoring for enterprise workloads.
  • Deployed and managed Elastic Agents via Fleet Server for centralized agent policy management, streamlining data collection across servers compared to classic Beats deployment.
  • Led the ELK Stack upgrade from version 8.19.0 to 9.2.0 across cluster nodes, validating plugin/Beats compatibility and ensuring zero data loss during migration — a full infrastructure change-management cycle.
  • Built and tuned Logstash pipelines using Grok, Mutate, and Date filters to parse, structure, and normalize log data from multiple sources, improving downstream analysis and monitoring accuracy.
  • Configured Elasticsearch snapshot repositories on AWS S3 and scheduled automated snapshots for disaster recovery, validating restore integrity to ensure data recoverability.
  • Applied AWS Cloud fundamentals (EC2, S3, security, cost management) to support infrastructure planning and backup strategy for the observability platform.
  • Wrote Python and Bash automation scripts for log cleanup, server health checks, SSL/TLS certificate renewal, and recurring status reporting, deploying them across production servers to reduce manual operational effort.
  • Integrated Elastic APM for real-time application performance monitoring, improving visibility into service latency and errors.
  • Created Kibana dashboards, visualizations, and threshold-based alerts to detect anomalies in real time; routed alerts via Webex and Email for cluster health, disk usage, and ingestion failures — aligned with organizational alerting and SLO standards.
  • Configured Index Lifecycle Management (ILM) policies for automated rollover, retention, and deletion, and validated snapshot/restore operations for backup and disaster recovery.
  • Configured AD/LDAP realms and SAML-based SSO authentication for Elasticsearch and Kibana access, managed role-based access mappings, and resolved TLS/SSL certificate expiration issues affecting cluster availability.
  • Performed OS-level and hypervisor-level patching across the server fleet, validating shard movement and conducting post-patch health checks to minimize service disruption.
  • Logged, tracked, and documented incidents and investigation notes in JIRA and ServiceNow; authored configuration, troubleshooting, and upgrade runbooks in Confluence to support faster incident response.
  • Collaborated with Infrastructure, DevOps, and Monitoring teams to maintain centralized, end-to-end observability coverage and drive continuous reliability improvements across the environment.

Education

B.Tech in Civil Engineering – Malla Reddy Institute of Technology and Science (2016 – 2020)

Intermediate (10+2) – Vagdevi Junior College (2014 – 2016)

Secondary School Certificate (SSC) – Little Buds High School (2014)

Skills

Site Reliability EngineerObservabilityMonitoring & AWS Cloud Infrastructure

Reviews

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