Siddharth Shevde

DevOps Engineer - Distributed Systems & Infrastructure Operations - Rakuten Symphony - India

(2021-08)

Provisioned, scaled, and maintained multi-tenant Strimzi Kafka clusters hosted on production Kubernetes environments for enterprise platform clients.
Managed automated data synchronization, stateful message streaming, and live consumer-group data handling using declarative configuration structures.
Configured cross-region Disaster Recovery (DR) frameworks and automated live data replication topology via MirrorMaker2 to ensure zero-data-loss system continuity.
Authored custom Terraform plans and Ansible playbooks to provision core AWS resources (EC2, VPC, IAM, S3) and manage isolated environment states.
Maintained declarative application deployment workflows, utilizing automated configuration checks to validate environment states and track configuration integrity.

DevOps Engineer - Pipeline Engineering & Advanced System Telemetry - Rakuten Symphony - India

(2021-08)

Constructed end-to-end continuous integration and deployment pipelines using GitLab CI and Jenkins to remove manual server configuration dependencies.
Implemented container security guardrails by embedding Trivy and JFrog analysis into standard pipelines, catching base-image vulnerabilities before cluster deployment.
Managed operational access controls by migrating static variables and environment configuration data into isolated, secure secret configurations.
Developed prototype observability extensions using exploratory Agentic AI models to parse and analyze system log outputs for proactive data profiling.
Evaluated runtime system state vectors and anomaly detection frameworks to accelerate mean time to resolution (MTTR) during log tracking trials.
Set up automated performance benchmarking and load-testing frameworks to isolate compute bottlenecks within large-scale Spark jobs.

DevOps Engineer - Kubernetes Troubleshooting & Centralized Observability - Rakuten Symphony - India

(2021-08)

Diagnosed and corrected core production cluster bottlenecks, including pod evictions, scheduling failures, network policy mismatches, and persistent volume binding faults.
Mitigated cluster network latency by refining Ingress controller configurations and addressing CoreDNS resolution bottlenecks.
Designed centralized enterprise observability dashboards within Prometheus and Grafana, building structured alerting rules to pinpoint consumer lag spikes and pod crashes.
Maintained centralized storage logging matrices using OpenSearch to compress root-cause analysis (RCA) and speed up debugging times for application teams.
Automated routine system tasks—including dashboard updates, user access provisioning, and system patching—via custom automation scripts and Ansible playbooks.

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