01
Reliable delivery
Build deployment workflows that are repeatable, observable and easier to troubleshoot across development, testing and production environments.
Senior DevOps Engineer · Open to opportunities
Ramakrishnan L
AWS · Kubernetes · CI/CD · IaC · AI Platforms
I design and automate cloud infrastructure using AWS CloudFormation and Terraform, build CI/CD platforms, and support Kubernetes-based workloads for enterprise teams.
Focused on reliable delivery, repeatable infrastructure, cloud security, cost optimisation and AI-enabled application platforms.
Engineering Stack
Delivery Ready
Cloud infrastructure built for reliable delivery.
Cloud Infrastructure
AWS
Infrastructure as Code
IaC
Container Platform
EKS
Delivery Automation
CI/CD
AI / Data Platforms
AI
4+
Years of engineering experience
30%
Infrastructure cost reduction
200+
Minutes saved daily through automation
10K+
Daily transactions supported
01 / APPROACH
What I bring
A practical DevOps approach focused on ownership, automation, reliability and continuous improvement.
02
Infrastructure as Code
Build repeatable AWS environments using CloudFormation and Terraform, with reusable infrastructure patterns across environments.
03
Cloud & security awareness
Apply IAM, KMS, WAF, networking controls, secrets management and operational security practices while designing cloud platforms.
04
Ownership & enablement
Comfortable working independently, troubleshooting across teams, handling client-facing discussions and sharing knowledge through technical KT sessions.
05
Adaptability
Continuously expanding across AWS, GCP and Azure, while moving from traditional workloads toward containerized, Kubernetes and AI-enabled platforms.
06
Automation mindset
Use Python, Bash and CI/CD automation to reduce repetitive operational work and make engineering processes faster and more consistent.
02 / EXPERIENCE
Engineering experience
Experience across AWS infrastructure, CI/CD, containers, Kubernetes, automation, security, databases and enterprise application platforms.
Sep 2025 — Present
Agilisium Consulting
Senior DevOps Engineer
- Standardised Dev, Test and Prod AWS infrastructure using eight reusable CloudFormation templates covering EKS, EC2, graph and relational databases, IAM, KMS and supporting resources.
- Built and maintained GitHub Actions pipelines on self-hosted runners covering checkout, Docker build, ECR push and Kubernetes deployment to EKS.
- Supported Kubernetes workloads using Helm, AWS Load Balancer Controller and Ingress, including deployment and application troubleshooting.
- Supported multiple enterprise applications and AI/data workloads, including Databricks–EKS integration.
- Conducted AWS, EKS and CI/CD knowledge-transfer sessions for development and engineering teams.
Nov 2024 — Sep 2025
GroupPal India Pvt Ltd
DevOps Engineer
- Managed high-traffic Laravel/PHP workloads on AWS EC2 using Apache, ACM and Route 53.
- Built and maintained Jenkins and GitLab CI/CD pipelines for Dockerized Node.js and Laravel applications.
- Migrated database workloads from managed RDS to Lightsail, achieving approximately 30% infrastructure cost reduction without downtime.
- Implemented WAF, OpenVPN, IP allowlisting, SSM and SSL/TLS security controls.
- Worked with Prometheus, Grafana, Loki and Promtail for monitoring and log visibility.
Sep 2024 — Oct 2024
Freelance
DevOps Consultant
- Dockerized Node.js applications and deployed workloads using AWS App Runner.
- Implemented GitLab and Jenkins based CI/CD workflows for application delivery.
- Designed AWS networking using Terraform, including VPC, subnets, NAT and Internet Gateway.
- Configured S3, CloudFront, ACM and Route 53 for application delivery.
Oct 2021 — Sep 2024
Nstore Retech
Systems Engineer
- Built Python and Bash automation that saved more than 200 minutes of operational effort daily.
- Automated Android and backend deployments using Jenkins and GitLab CI/CD.
- Dockerized Node.js, Django, Vue, Flutter and WordPress workloads.
- Designed and optimized MySQL schemas and queries supporting more than 10K daily transactions.
- Worked with MongoDB monitoring, CloudWatch, Prometheus, Grafana, Wazuh and Kibana.
- Managed Google Maps API keys, quotas and usage within Google Cloud environments.
03 / IMPACT
Selected work
Practical infrastructure and delivery patterns used across cloud, Kubernetes and AI/data workloads.
AWS · CI/CD
AWS-native CI/CD
Event-driven deployment pipeline connecting source control, build automation, container images and remote application deployment.
CodeCommit → EventBridge → CodeBuild → ECR
→ SSM → EC2
Kubernetes · EKS
Kubernetes delivery
Container delivery workflow for Kubernetes applications using GitHub Actions, ECR, Helm and Amazon EKS.
GitHub Actions → Docker → ECR → Helm → EKS
Infrastructure · AWS
Infrastructure standardisation
Reusable CloudFormation patterns for consistent Dev, Test and Prod infrastructure provisioning.
CloudFormation → AWS resources → Environment
IaC · Terraform
Cloud networking
Infrastructure automation using Terraform to provision repeatable networking foundations.
Terraform → VPC → Subnets → Gateways
AI · Data
AI / data platform
Supported AI and data workloads through containerized delivery, Kubernetes platforms and Databricks integration.
Data / AI → CI/CD → Containers → EKS
Observability
Operational visibility
Monitoring and log-management patterns across application and infrastructure workloads.
Workloads → Metrics → Logs → Alerts
04 / ARCHITECTURE
How I build
A simplified view of the engineering patterns I work with across cloud-native application delivery.
Developer
→
GitHub
→
CI/CD
→
ECR
→
EKS
Infrastructure
AWS, EKS, EC2, VPC, networking, CloudFormation and Terraform.
Security
IAM, KMS, WAF, secrets, network controls and secure access patterns.
Observability
Prometheus, Grafana, Datadog, CloudWatch and centralized logging.
AI / Data
Databricks, Amazon Bedrock, Kubernetes and AI-enabled workloads.
05 / SKILLS
Technology stack
Tools and platforms I have worked with across infrastructure, automation, applications and security.
Cloud & Containers
AWS
EKS
EC2
ECS
S3
VPC
IAM
Kubernetes
Docker
Helm
IaC & Automation
Terraform
CloudFormation
GitHub Actions
Jenkins
GitLab CI/CD
Python
Bash
Linux
Ansible
AI & Data
Amazon Bedrock
Databricks
PostgreSQL
Neptune
MySQL
MongoDB
Observability
Prometheus
Grafana
Datadog
CloudWatch
Loki
Promtail
ELK
Security
IAM
KMS
WAF
Secrets Manager
GuardDuty
Wazuh
OpenVPN
Burp Suite
Multi-cloud & Web
GCP
Azure
Route 53
CloudFront
ACM
Nginx
Apache
Application Technologies
FastAPI
Node.js
Laravel
Django
Vue.js
Flutter
WordPress
Gunicorn
SonarQube
06 / CREDENTIALS
Education & certifications
Academic foundation supported by cloud, security and data-platform certifications.
Education
Master of Computer Applications
Amrita Vishwa Vidyapeetham · Amritapuri
2026
B.Com Information Technology
Hindusthan College · Coimbatore
2021
Certifications
AWS Certified Solutions Architect – Associate
Amazon Web Services
2025
Databricks Fundamentals Accreditation
Databricks
2026
Oracle Cloud Infrastructure & Fusion AI Agent Studio Foundations Associate
Oracle
2025
Networking in Google Cloud: Routing and Addressing
Google Cloud
2025
Google Cloud Fundamentals: Core Infrastructure
Google Cloud
2024
CCNA: Introduction to Networks
Cisco
2024
Cloud Security Professional Training
Simplilearn
2024
Let's build something reliable.
Open to DevOps, Cloud, SRE and platform engineering opportunities where I can contribute to automation, infrastructure, Kubernetes and AI-enabled application platforms.