Siddharth Shevde

DevOps Engineer with 5 years of experience building and maintaining continuous deployment paths, containerized Kubernetes nodes, and multi-tenant Strimzi Kafka environments. Focused on managing cloud architecture through declarative Infrastructure as Code (IaC), automating telemetry streams with GitLab CI, and engineering high-availability topologies to protect distributed system uptime. Experienced in diagnosing cluster networking faults and evaluating prototype AIOps frameworks to streamline runtime incident analysis.

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.

Bachelor of Engineering - Computer Science Engineering - Institute of Technology & Management, Gwalior (2016-08 - 2020-09)