Cloud DevOps & SRE Engineer
3+ Years of Experience @Maximus GCC
MSc in Cloud Computing (National College of Ireland)
Specialized in architecting high-availability infrastructure deployments, orchestrating dynamic container frameworks, and optimizing continuous integration ecosystem deliveries with embedded DevSecOps quality gates.
Certifications
AWS Solutions Architect Associate
AWS Certified AI Practitioner
Pipeline Engine
Branch: feature/*
Ready to pipeline
Managed Cluster Environments
aws-feat-ns
FeatureIdle
aws-stg-ns
StagingIdle
eks-prod-cluster
ProdIdle
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Technical Skills
LinuxOperating System
TerraformIaC tool
DockerContainers
KubernetesOrchestration
Amazon Web Services (AWS)Cloud
Microsoft AzureCloud
JenkinsCI
Argo CDGitOps
PrometheusObservability
GrafanaObservability
SonarQube (SAST)Security
TrivySecurity
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Operational Metrics
Incident Resolution Time
-35%
Minimized troubleshooting workflows and strengthened platform reliability
Deployment Delivery
+50%
Accelerated release cycles using Jenkins & Argo CD workflows
Infra Provisioning Speed
+40%
Automated architecture environment setups with Terraform
Peak Traffic Availability
+20%
Configured AWS Auto Scaling & Azure Traffic Manager
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Work Experience
DevOps/SRE Engineer
MAXIMUS GCC•Bangalore, India
Oct 2022 — July 2024
# Project: MAXIMUS Provider Connection (MPC)
- ›Strengthened application availability by 20% during peak traffic by configuring AWS Auto Scaling and Azure Traffic Manager.
- ›Reduced pre-production security risks by integrating SonarQube (SAST), Trivy (Container Scanning), GitLeaks (Secret detection), and pip-audit (dependency vulnerability scanning) into CI/CD pipelines.
- ›Identified runtime vulnerabilities using OWASP ZAP (DAST), improving application security before production releases.
- ›Standardized environments using Docker, reducing the configuration time by 25% and improving the consistency of the deployment.
- ›Streamlined CI/CD workflows using Jenkins and Argo CD, accelerating deployment delivery by 50%.
- ›Resolved Kubernetes issues (CrashLoopBackOff, ImagePullBackOff) and built Grafana dashboards to monitor CPU, memory, and pod health.
- ›Developed pod restart alerting system using logs and metrics to improve incident response time.
Cloud DevOps Engineer
Techoral PVT LTD•Bangalore, India
Jun 2021 — Sep 2022
- ›Established proactive monitoring and Linux troubleshooting workflows, minimizing incident resolution time by 35% and strengthening platform reliability.
- ›Automated infrastructure provisioning with Terraform, reducing environment setup time by 40% and improving deployment consistency across multiple environments.
- ›Engineered CI/CD pipelines for application deployments, accelerating release cycles by 50% and enhancing deployment reliability.
- ›Administered AWS cloud infrastructure including EC2, IAM, S3, and VPC, improving system availability by 25% through optimized resource configuration and monitoring.
Production Deployments
research
Adaptive Multi-Cloud Traffic Routing Strategy
Architected routing strategies to enhance latency distribution and workload balancing. Refined load-balancing algorithms to reduce response times.
AWS CloudFrontRoute53Azure Traffic ManagerKubernetes HPA
production
Maximus Provider Connection (MPC)
Optimized container orchestration workflows in Kubernetes. Resolved pod stability issues (CrashLoopBackOff) and reduced pre-prod security risks.
KubernetesJenkinsArgo CDGrafanaSonarQubeTrivyOWASP ZAP
automation
Automated Inventory Management
Built and containerized a Django-based application with Terraform-managed AWS infrastructure and Jenkins CI/CD automation.
PythonDjangoTerraformJenkinsAWS EC2Netlify