AWS DevOps Engineer - Cloud-Native, CI/CD Expert

Venkata Sai Krishna

AWS DevOps Engineer

**********************@*****.*** +1-314-***-****

LinkedIn: http://linkedin.com/in/venkata-sai-krishna-407092215

PROFESSIONAL SUMMARY:

AWS DevOps Engineer with 4+ years of experience designing, implementing, and optimizing cloud-native infrastructure and CI/CD pipelines on AWS.

Proven expertise in building scalable microservices architectures using Docker, Kubernetes (EKS), and terraform, along with strong experience in automation, monitoring, and DevSecOps practices.

Skilled in leveraging tools such as Jenkins, GitHub Actions, AWS code Pipeline, Splunk, Datadog, and Prometheus to enhance deployment efficiency, system reliability, and observability.

Eexperienced in implementing Infrastructure as Code (IaC), enabling faster provisioning and consistent environments across development and production.

Adept at driving cloud cost optimization, security compliance, and high availability solutions, with hands-on experience in event-driven architectures using AWS Lambda and EventBridge.

Passionate about adopting modern DevOps practices, Including GitOps (ArgoCD) and integrating AI-driven monitoring solutions (Amazon Bedrock) to improve operational intelligence.

Strong Linux administration experience including process management, systemd, cron jobs, and log troubleshooting.

In-depth networking knowledge including TCP/IP, DNS, HTTP/HTTPS, SSL/TLS, and Load Balancing concepts.

Proficient in Git version control with branching strategies (GitFlow), pull requests, and code reviews.

Experience with SRE practices including SLA, SLO, SLI definitions, incident management, and root cause analysis.

Advanced Kubernetes expertise including RBAC, Ingress Controllers, ConfigMaps, Secrets, and pod lifecycle management.

Experience implementing DevSecOps practices with shift-left security, container scanning (Trivy/Aqua), and IAM best practices.

Hands-on experience with AWS cost optimization using Reserved Instances, Savings Plans, and cost monitoring.

Familiar with artifact repository management using Nexus/Artifactory.

Integrated automated testing (unit/integration) within CI/CD pipelines.

TECHNICAL SKILLS:

Cloud Platforms: AWS (EC2, S3, RDS, Lambda, EKS, VPC, IAM, EventBridge, Route 53)

CI/CD & DevOps Tools: Jenkins, GitHub Actions, GitLab CI, AWS code Pipeline, ArgoCD

Infrastructure as Code: Terraform, AWS CloudFormation

Containers & Orchestration: Docker, Kubernetes (EKS), Helm

Container Registry: Amazon ECR

Monitoring, Logging & Observability: Splunk, Datadog, Prometheus, Grafana, CloudWatch

Security & DevSecOps: IAM, AWS Secrets Manager, HashiCorp Vault, Snyk, AWS Inspector

Scripting & Automation: Python, Shell Scripting

Configuration: YAML, JSON

DevOps Practices: Microservices, GitOps, Blue-Green & Canary Deployments

Client: Edward Jones - St. Louis, MO Feb 2025 – Present

Role: AWS DevOps Engineer

Architected and optimized end-to-end CI/CD pipelines using GitHub Actions and Jenkins, accelerating release cycles and improving deployment reliability.

Engineered and maintained scalable Kubernetes (Amazon EKS) environments, supporting high-availability microservices with automated scaling and zero-downtime deployments.

Designed and implemented Infrastructure as Code (IaC) solutions using Terraform and CloudFormation, standardizing provisioning and reducing manual configuration effort.

Developed Kubernetes deployment manifests using YAML for containerized applications on EKS

Managed Kubernetes (EKS) deployments using Helm charts and Kustomize for efficient configuration management, environment-specific customization, and streamlined application releases.

Established GitOps-driven deployment strategies using ArgoCD, ensuring consistency, traceability, and rapid rollback capabilities across environments.

Enhanced system observability by integrating Splunk, Datadog, and AWS CloudWatchh, monitoring critical metrics including latency, error rates, and resource utilization to improve reliability and accelerate incident response.

Developed event-driven architectures leveraging AWS Lambda, EventBridge, and SQS to support scalable and loosely coupled systems.

Strengthened security posture by implementing DevSecOps best practices, including IAM policies, Secrets Manager, and Vault-based secret management.

Implemented advanced deployment strategies such as blue-green and canary releases, minimizing production risk and downtime.

Explored and integrated AI-driven monitoring solutions (Amazon Bedrock) for intelligent alerting and anomaly detection.

Managed Linux-based environments, performing system-level troubleshooting and performance tuning.

Implemented Git branching strategies and enforced code review processes for CI/CD pipelines.

Defined and monitored SLOs/SLIs to improve service reliability and incident response.

Configured Kubernetes RBAC, Ingress controllers, and Secrets for secure application deployments.

Optimized AWS costs by analyzing usage patterns and implementing Savings Plans.

Client: State Farm- Bloomington, IL Jan 2024 – Jan 2025

Role: AWS DevOps Engineer

Designed and maintained robust CI/CD pipelines using Jenkins, GitLab CI, and AWS CodeBuild/CodeDeploy, enabling streamlined and automated software delivery.

Led the containerization and modernization of legacy applications, transitioning to microservices architecture using Docker and Amazon EKS.

Developed reusable and modular Terraform configurations, enabling efficient and consistent infrastructure provisioning across environments.

Configured and managed Application Load Balancers and API Gateway, ensuring secure, scalable, and highly available application access.

Implemented centralized logging and monitoring using ELK Stack and Splunk, improving system visibility and troubleshooting efficiency.

Built real-time monitoring dashboards using Prometheus, Grafana, and CloudWatch, enabling proactive performance tracking.

Integrated security and vulnerability scanning tools (Snyk, Aqua Security, AWS Inspector) within CI/CD pipelines to enforce compliance.

Managed sensitive configurations and credentials using AWS Secrets Manager and Parameter Store, ensuring secure access control.

Ensured high availability and resilience through Auto Scaling Groups and multi-AZ deployments, maintaining enterprise-grade uptime.

Implemented infrastructure governance and compliance using AWS Config and Terraform state validation.

Administered Linux servers and resolved production issues using system logs and monitoring tools.

Applied networking concepts include DNS routing, SSL/TLS configuration, and load balancing.

Integrated automated testing stages into CI/CD pipelines for improved release quality.

Performed root cause analysis (RCA) for production incidents and improved system reliability.

Managed artifact repositories for version-controlled build storage using Nexus/Artifactory.

Client: Vasg Inc –India Nov 2021 – Jul 2023

Role: AWS Cloud Engineer

Provisioned and managed core AWS infrastructure services including EC2, S3, RDS, VPC, IAM, and ELB for production environments.

Automated build and deployment processes using Jenkins and AWS code Pipeline, improving deployment consistency and efficiency.

Developed automation scripts (Python, Shell) to streamline operational workflows and reduce manual intervention.

Implemented monitoring and alerting solutions using AWS CloudWatch and SNS, enhancing system reliability and incident response.

Provided production support and resolved incidents via ServiceNow, consistently meeting SLA and operational targets.

Designed and configured secure networking architectures (VPC, subnets, route tables, security groups, NACLs).

Implemented backup, recovery, and data lifecycle strategies using AWS Backup and S3 lifecycle policies.

Supported cloud migration initiatives, ensuring seamless transition of applications to AWS environments.

Authored and maintained technical documentation, including architecture diagrams and operational runbooks.

EDUCATION:

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