DevSecOps & AIOps
Engineer — Security
Meets Intelligence

I secure cloud-native pipelines, automate infrastructure at scale, and integrate AI-driven observability — delivering systems that are fast, resilient, and secure by default.

K
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5.0
LinkedIn Recommendations
Karthick DK
KDK
AWS Certified
DevSecOps
Kubernetes
0+
Years of Experience
0+
Projects Delivered
0+
Certifications
0%
Security Focused
"Security is not a product, but a process — and automation is how I make that process invisible."

Shift-Left Security

Embedding SAST, DAST, SCA, and secret scanning directly into CI/CD pipelines — catching vulnerabilities before they reach production.

Cloud-Native Infrastructure

Designing secure, scalable multi-cloud architectures on AWS and GCP with Terraform, Kubernetes, and GitOps-driven delivery.

AIOps & Intelligent Monitoring

Applying ML-driven anomaly detection, predictive alerting, and automated remediation to eliminate toil and reduce MTTR.

End-to-End Automation

Building fully automated delivery pipelines from code commit to production — with compliance checks, rollbacks, and zero-touch deployments.

About Me

Securing Systems,
Automating
Intelligence

I'm Karthick DK, a DevSecOps & AIOps Engineer with 5+ years of experience building secure, intelligent infrastructure at scale. I specialise in integrating security into every layer of the software delivery lifecycle — from code commit to production deployment — while leveraging AI and ML techniques to build self-healing, proactively monitored systems.

My expertise spans cloud security architecture on AWS & GCP, container orchestration with Kubernetes, infrastructure automation using Terraform & Ansible, and applying AIOps principles — including ML-driven anomaly detection, automated root-cause analysis, and intelligent alerting — to drastically reduce operational overhead and mean time to recovery.

I've designed and maintained CI/CD pipelines that run automated SAST, DAST, container scanning, and compliance checks, enabling engineering teams to ship with confidence. I also write technical articles on Medium and maintain open-source DevOps tooling on GitHub.

SAST / DAST / SCA Pipeline Integration
Multi-Cloud Architecture (AWS, GCP)
AIOps & ML-Driven Observability
GitOps & Policy as Code (OPA)
Zero-Trust & Supply Chain Security
MLOps Pipeline Design & Automation
My Expertise

Trusted
Skills

I deliver secure, scalable DevSecOps solutions with proven expertise and a results-driven focus across cloud, containers, and automation.

CLOUD

Cloud Security & Architecture

AWS & GCP security architecture, IAM, VPC hardening, cloud-native security controls and compliance.

AWS · GCP · IAM · VPC · WAF · CloudTrail
DEVSECOPS

CI/CD Pipeline Automation

End-to-end secure delivery pipelines with automated security gates, code scanning, and compliance checks.

GitHub Actions · Jenkins · GitLab CI · ArgoCD
CONTAINERS

Kubernetes & Docker Security

Container hardening, runtime security, pod security policies, and service mesh security with Istio.

Kubernetes · Docker · Helm · Istio · Falco
IAC

Infrastructure as Code

Declarative, auditable infrastructure with security policies enforced at provisioning time via Checkov and OPA.

Terraform · Ansible · Pulumi · Checkov · OPA
SECURITY

SAST / DAST & Scanning

Automated vulnerability scanning, secret detection, dependency audits, and OWASP compliance integrated into pipelines.

Trivy · Snyk · SonarQube · OWASP ZAP · Vault
MONITORING

Observability & Alerting

Full-stack observability with metrics, logs, and distributed tracing for proactive incident detection and zero-downtime operations.

Prometheus · Grafana · ELK · Zabbix · Datadog · Jaeger
AIOPS

AIOps & Intelligent Automation

Applying ML models to IT operations — automated anomaly detection, predictive capacity planning, and intelligent incident correlation to reduce MTTR.

MLflow · Kubeflow · Airflow · Scikit-learn · Anomaly Detection
MLOPS

MLOps Pipeline Design

Building end-to-end ML lifecycle pipelines — automated training, versioning, deployment, and monitoring of models in production Kubernetes environments.

MLflow · Kubeflow Pipelines · DVC · Model Registry · Seldon
Open Source & Personal Labs

Featured
GitHub Projects

Live from GitHub — real repositories covering DevSecOps, AIOps, MLOps, and infrastructure automation.

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My Writing

Latest
Articles

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Professional Network

Let's Connect
on LinkedIn

Find my full work history, certifications, recommendations and professional endorsements.

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Work History & Experience
Professional Certifications
Recommendations
Education & Achievements
Get In Touch

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Whether it's a role, a project, or just a conversation — I'm always open to connecting with the right people.