Available to hire
Hi, I’m Karthik Reddy Gillela, a results-oriented DevOps & Cloud Engineer with 4+ years of experience designing, automating, and managing scalable cloud infrastructures and CI/CD pipelines across Azure and AWS environments. I thrive in fast-paced settings, delivering secure, reliable, and cost-optimized solutions while collaborating closely with Agile teams to achieve continuous delivery and measurable business value.
I’m passionate about multi-cloud architectures, automation, observability, and security compliance, and I enjoy solving complex problems with practical, scalable approaches that improve performance and reliability.
Skills
Experience Level
Work Experience
AWS DevOps Engineer at Abbott
October 1, 2025 - PresentArchitected and managed AWS cloud infrastructure across EC2, VPC, S3, EBS, RDS; implemented CloudFormation, Route 53, and IAM; configured Auto Scaling and ELB for high availability and fault tolerance; designed real-time Grafana dashboards visualizing system metrics, application logs, and business KPIs; automated Grafana provisioning (datasources, dashboards, alert rules) using Terraform; implemented monitoring and logging with AWS CloudWatch, CloudTrail, Prometheus, Grafana, and the ELK stack; managed databases including RDS, Aurora, and Redshift with automated backups to S3 and data migration via AWS DMS; enforced security and compliance with IAM, KMS, WAF, and Secrets Manager; implemented cost optimization and governance measures.
Cloud Engineer at Citi
January 1, 2025 - September 1, 2025Designed Azure-based cloud infrastructure (AKS, Azure Container Apps, Azure Database for PostgreSQL, Azure Functions, and Azure Front Door) to deploy AI-driven microservices securely and scalably; established SOC 2 Type II aligned security controls with centralized logging, immutable audit trails, MFA, least-privilege IAM policies, and Key Vault; developed Terraform IaC with reusable modules for networking, compute, and security; implemented CI/CD across Nx monorepos using GitHub Actions and Azure DevOps; enabled multi-cloud AI service routing across Azure OpenAI, AWS Bedrock, and Google Vertex AI for high availability and cost optimization; built ML data infrastructure for transcripts, embeddings, and RAG queries; designed and optimized RAG pipelines with data ingestion, chunking, embeddings, and vector search using Pinecone and Elasticsearch; strengthened observability with Grafana, Prometheus, Sentry, and Azure Monitor; implemented PII protection and GDPR-compliant processes; manage
Cloud Engineer at Marriott Hotels and Resorts
September 1, 2021 - July 1, 2024Architected and automated multi-region AWS infrastructure using Terraform and CloudFormation (VPCs, Subnets, NATs, EC2, RDS, Load Balancers) for secure, scalable applications; designed LAN/WAN infrastructure across global manufacturing and research sites with Cisco/Juniper, VLANs, and VPN tunnels; implemented CI/CD pipelines with Jenkins, AWS CodePipeline, and Bitbucket; integrated Gradle and Docker to deploy microservices to Kubernetes (EKS) and on-prem clusters; configured CloudWatch, CloudTrail, Prometheus, and Grafana for monitoring; enforced security best practices (IAM, Security Groups, NACLs, KMS, AWS Config) and cost governance.
Education
MSc in Big Data Management and Analytics at Griffith College Dublin, Ireland
September 1, 2024 - October 1, 2025Qualifications
Industry Experience
Software & Internet, Professional Services
Skills
Experience Level
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