Rohit Solanki — Mid-Senior DevOps Engineer
4.5+ years of experience in cloud-native technologies, Kubernetes, Terraform, multi-cloud
infrastructure (AWS, GCP, Azure, Digital Ocean), GitOps with ArgoCD, and full-stack
observability (Prometheus, Grafana, Loki, Thanos, Tempo). Based in India.
Available for senior DevOps roles and consulting engagements.
Core Skills
Kubernetes · Docker · Helm · ArgoCD · Terraform · Terragrunt · GitHub Actions · Jenkins ·
HashiCorp Vault · AWS · GCP · Azure · Prometheus · Grafana · Loki · Thanos · Tempo ·
OpenTelemetry · Nginx · Envoy · PostgreSQL · MongoDB · Redis · Python · Bash
Work Experience
DevOps Engineer (2023 – Present)
Architected Hub-and-Spoke centralised observability platform aggregating telemetry from
distributed Kubernetes workload clusters using Grafana, Loki, Thanos, and Tempo.
Engineered production CI/CD pipelines with GitHub Actions, embedding Trivy, CodeQL, KICS,
and TruffleHog security scanning. Maintained Helm charts and Terraform/Terragrunt code
across five isolated environments. Designed on-premises Kubernetes multi-cluster
architecture using Kubeadm with Calico CNI.
Junior DevOps Engineer (2021 – 2023)
Owned end-to-end AWS cloud infrastructure for a production AI conversational chatbot.
Managed MongoDB Atlas, MySQL RDS, Redis, and ElastiCache clusters. Built Jenkins CI/CD
pipelines with auto-scaling groups and ALBs. Executed complex database migrations to
AWS Aurora and Mongo Atlas. Developed AWS Lambda functions for off-hours environment
scaledown, reducing monthly cloud costs significantly.
Certifications
- AWS Certified Solutions Architect – Associate
- AWS Certified AI Practitioner
- AWS Certified Cloud Practitioner
- Red Hat Certified System Administrator (RHCSA)
- CompTIA IT Fundamentals
- IBM Cloud Essentials
Education
Master of Science – Computer Application (MSc-CA) · Symbiosis International University
Bachelor of Computer Applications (BCA) · Gujarat University
Recent Blog Posts
AI-Driven Infrastructure: The Shift from Ops to AI-Ops
The traditional model of IT operations is undergoing a seismic shift. We are moving from
declarative infrastructure to intelligent, autonomous systems that detect, correlate, and
remediate incidents before a human even gets paged. AI-Ops leverages machine learning to
automate anomaly detection, correlate alerts, and perform predictive remediation.
Maximizing Cloud Efficiency with Predictive Scaling
Reactive auto-scaling is inherently flawed — it responds only after demand has already
spiked. Predictive scaling, driven by ML models trained on historical traffic patterns,
analyses diurnal cycles and seasonal variations to anticipate demand before it hits,
eliminating cold-start latency and reducing cloud waste.
Why Firebase is the Secret Weapon for AI Landing Pages
Firebase Hosting's global CDN, atomic deployments, and zero-configuration SSL make it the
fastest path from code to production for high-performance engineering blogs and AI product
landing pages. Every deployment is an immutable snapshot with instant rollback capability.