Devops Engineer Senior Cloud

ANVESH MADIREDDY

SENIOR CLOUD DEVOPS ENGINEER AWS AZURE

872-***-**** Email: *****************@*****.*** www.linkedin.com/in/anveshmadireddy PROFESSIONAL SUMMARY

Skilled Senior Cloud DevOps Engineer with 9 years of experience supporting mission-critical deployments and leveraging cloud-native technologies to enhance system reliability and efficiency. Also regarded for planning, designing, developing and assisting with the delivery and support of IT Services. Distinguished in deploying High Available and Fault Tolerant solutions, identifying the customer’s business needs and expected value. Proficient in the management of IaaS with AWS and Azure using IaC through terraform and Chef tools using CI/CD pipelines. Highly regarded for strong communication, leadership and strategic thinking skills, building solid and agile teamwork accomplishing the business vision and planned goals. TECHNICAL SKILLS & EXPERTISE

Core DevOps & SRE Concepts

CI/CD Pipelines, Infrastructure as Code (IaC), Site Reliability Engineering (SRE)

Monitoring, Logging, and Observability

High Availability, Scalability, and Disaster Recovery

Incident Response & Post-Mortems

Cloud Platforms & Serverless Computing

AWS: EC2, S3, RDS, IAM, Lambda, ECS, EKS, Route 53, CloudFormation, Terraform, AWS CDK

AWS Security & Networking: KMS, GuardDuty, WAF, Shield, Secrets Manager, Inspector, VPC, Transit Gateway, PrivateLink, API Gateway

AWS Developer & Monitoring Tools: CloudWatch, X-Ray, SNS, SQS, EventBridge, AWS Glue, Athena, CodeCommit, CodeBuild, CodeDeploy, CodePipeline

Azure: Azure DevOps, AKS, Azure Functions, Azure Networking

Serverless & Edge Computing: AWS Lambda, API Gateway, Step Functions, EventBridge, DynamoDB, AWS Fargate, Cloudflare Workers

Messaging & Event-Driven Architecture: Kafka, AWS Kinesis, RabbitMQ, SQS, SNS, NATS

FinOps & Cost Management: AWS Cost Explorer, Budgets, Compute Savings Plans, CloudZero, Kubecost Infrastructure as Code (IaC) & Performance Optimization

Terraform (State Management, Modules, Workspaces, Cloud Integrations)

AWS CDK, CloudFormation (AWS), Helm (Kubernetes deployments), Packer (Image creation)

Ansible (Playbooks, Roles, Variables, Vault, Automation)

Scaling & Optimization: Auto Scaling Groups (ASG), Load Testing (JMeter, k6, Locust), Database Performance Tuning

Containers & Orchestration

Docker (Compose, Multi-stage builds, Optimized Images)

Kubernetes (Pod Autoscaling, StatefulSets, Helm Charts, Operators)

Kubernetes Service Mesh (Istio, Linkerd, Consul)

Kubernetes Security (RBAC, Network Policies, Secrets, Vault)

Kubernetes Monitoring & Logging (Prometheus, Grafana, Fluentd, Loki, OpenTelemetry) CI/CD (Continuous Integration & Deployment)

GitHub Actions, GitLab CI/CD, Jenkins, CircleCI

ArgoCD (for Kubernetes GitOps), Spinnaker, AWS CodePipeline Security, Monitoring & Observability

Networking & Security: VPC, Subnets, CIDR, VPNs, NAT Gateways, Transit Gateway

DNS & Load Balancing: Route 53, Cloudflare, Bind9, AWS ALB/NLB, HAProxy, Traefik, Envoy, Nginx

IAM & Compliance: IAM Roles, Policies, Federation (Okta, SAML, OIDC), SOC 2, GDPR, ISO 27001

Secrets Management & DDoS Protection: AWS Secrets Manager, HashiCorp Vault, AWS Shield, Cloudflare, Akamai

Monitoring & Logging: Prometheus, Datadog, New Relic, CloudWatch, Looker, Pepperdata

Logging: ELK (Elasticsearch, Logstash, Kibana), Loki, Fluentd

Tracing & Alerting: OpenTelemetry, Jaeger, Zipkin, PagerDuty, Datadog Programming & Scripting

Python (Infrastructure Automation, AWS Boto3, Webhooks, Serverless APIs)

Node.js (AWS Lambda, Express.js, Serverless Framework)

Bash (Shell scripting, automation)

Golang (Cloud & Kubernetes-related development)

JavaScript/TypeScript (AWS CDK, DevOps tools)

YAML/JSON (Configurations for Kubernetes, Terraform, CI/CD) Version Control & GitOps

Git (GitHub, GitLab, Bitbucket)

GitOps (ArgoCD, FluxCD)

Azure ADO

Branching Strategies (GitFlow, Trunk-based Development) Databases & Storage

SQL Databases: PostgreSQL, MySQL, Amazon RDS, Aurora

NoSQL Databases: DynamoDB, MongoDB, Cassandra

Caching: Redis, Memcached, AWS ElastiCache

Data Warehousing: Snowflake, Redshift

Soft Skills & Best Practices

Strong Communication & Documentation

Collaboration with Developers & QA Teams

Agile/Scrum Methodologies

Problem-solving under pressure

Leadership & Mentorship

PROFESSIONAL EXPERIENCE

Senior DevOps Engineer Autodesk, TX Jun 2023 – Present Infrastructure & Platform Engineering:

Built and maintained AWS infrastructure using Infrastructure as Code (Terraform, AWS CDK), Python, TypeScript, and shell scripting, automating resource provisioning, configuration management, and operational efficiency.

Automated infrastructure provisioning and configuration management in AWS using CloudFormation, Terraform, and Ansible, streamlining resource deployment and optimizing cloud resource usage.

Led the design and deployment of AWS Code Build pipelines integrated with Packer to automate golden AMI creation for EC2 workloads, ensuring compliance with security benchmarks and custom configurations.

Managed the seamless upgrade of Ubuntu 18.04 to 22.04 LTS across AWS EC2, Kubernetes nodes, and on- prem servers using Chef-Solo, Ansible, and Packer, ensuring minimal service disruption.

Automated pre-upgrade health checks, package updates, and rollback procedures using Bash scripts and AWS SSM, ensuring reliability during system migrations. Cloud & IaC Management:

Architected and managed AWS and Azure cloud environments, deploying infrastructure with Terraform, AWS CDK, and Ansible, ensuring scalability and high availability for cloud-based applications.

Managed and maintained containerized environments on AWS EKS for Kubernetes orchestration, enhancing deployment velocity and optimizing resource utilization.

Developed and maintained serverless AWS Lambda applications, integrated with API Gateway to build RESTful APIs, improving response times by 40%.

Migrated legacy configuration management from Chef-Solo to Ansible/Terraform, strengthening IaC practices and improving overall reliability.

CI/CD & Deployment Pipelines:

Designed, developed, and managed CI/CD pipelines with Jenkins, Spinnaker, AWS CodePipeline, and CodeBuild, enabling continuous integration and deployment of infrastructure and applications.

Integrated AWS CodePipeline with Lambda and CloudWatch for automated testing and lifecycle management of AMIs, reducing vulnerabilities and ensuring consistent image quality.

Implemented AWS CodePipeline and CloudWatch for image promotion and testing, significantly improving system security and deployment workflows. Kubernetes & Containerization:

Configured and managed Docker and Kubernetes (EKS) environments, enhancing container orchestration and deployment efficiency for microservices architectures.

Designed Helm charts for Kubernetes microservices to automate deployment, scaling, and rolling updates, ensuring high availability and reliability in production environments. Big Data & Log Management:

Integrated AWS CloudWatch, Datadog, and Grafana for real-time monitoring, observability, and performance optimization across cloud environments.

Built and optimized data pipelines for efficient data processing and warehousing using AWS tools such as S3, Lambda, and Snowflake.

Monitoring, Logging & Incident Response:

Integrated AWS CloudWatch, Datadog, Grafana, and FinOps to monitor and optimize infrastructure health, application performance, and cloud resource usage.

Developed custom automation scripts for enhanced observability and preemptive troubleshooting of cloud systems, improving incident response times and system uptime. Security, Compliance & Cost Optimization:

Incorporated AWS IAM, HashiCorp Vault, AWS KMS, and Open Policy Agent (OPA) to enforce strict security and compliance standards, including encryption and access control.

Implemented IAM authentication for MySQL 8.0, enforcing least-privilege access and eliminating reliance on static passwords, improving security.

Reduced AWS cloud costs by implementing auto-scaling policies, Compute Savings Plans, and Spot Instances, optimizing resource allocation and cost efficiency by 30%. Incident & Upgrade Management:

Led Aurora MySQL 5.7 to 8.0 upgrades across production and staging environments using RDS Blue/Green deployments and AWS DMS, ensuring zero downtime and effective schema validation.

Conducted SQL performance tuning and query compatibility analysis for MySQL 8.0, optimizing parameters and leveraging new features to improve database performance and reduce operational overhead.

Mentorship & Team Collaboration:

Mentored junior engineers, sharing best practices for DevOps, automation, and cloud infrastructure management, helping elevate team capabilities and ensuring smooth collaboration across functions. Senior Cloud DevOps Engineer Verizon, CO Aug 2021 – Jun 2023 Infrastructure & Platform Engineering:

Designed and deployed resilient AWS solutions (EC2, Route53, S3, RDS, CloudFormation, IAM), focusing on high availability, fault tolerance, and auto-scaling to ensure scalable and reliable cloud environments.

Directed EC2 instance provisioning with Terraform and CloudFormation, incorporating custom plugins to extend Terraform capabilities and enhance cloud infrastructure automation.

Implemented network optimization strategies using AWS VPC, Route 53, DNS, and load balancing

(ALB/NLB) to improve system performance and ensure high availability. Cloud & IaC Management:

Architected and maintained AWS-based infrastructure, automating resource provisioning and management using Terraform and CloudFormation to streamline cloud operations.

Integrated Snowflake and AWS Redshift into cloud data infrastructure, optimizing ETL pipelines, automating data ingestion, and enhancing reporting accuracy with Python-based automation.

Designed and maintained automated Terraform modules for seamless infrastructure deployments, including the automation of onboarding/offboarding processes with Okta and GitOps-based identity management.

CI/CD & Deployment Pipelines:

Established and managed CI/CD pipelines using Jenkins, ensuring streamlined automated deployments across DEV, QA, and PROD environments to maintain consistent and efficient workflows.

Managed Azure DevOps Repos and Pipelines for select services, enabling version-controlled code, smooth CI/CD workflows, and fostering collaboration between development and operations teams. Kubernetes & Containerization:

Built and deployed robust, scalable microservices leveraging AWS Lambda and Spring Boot, ensuring low- latency API responses and high availability via AWS ELB and auto-scaling.

Implemented AWS Lambda and API Gateway to develop a real-time transaction processing system, handling thousands of transactions per minute and reducing processing time by 25%. Big Data & Log Management:

Integrated AWS SQS and DynamoDB to create a resilient queuing system, ensuring reliable transaction order processing with guaranteed message delivery and achieving a 99.9% transaction success rate.

Leveraged messaging and streaming technologies such as AWS SQS, SNS, Kinesis, Kafka, and RabbitMQ to support real-time data processing and ETL workflows. Monitoring, Logging & Incident Response:

Acted as a Tier 2 escalation point on-call, mentoring peers and driving improvements in incident response processes to enhance system resiliency.

Led security initiatives, collaborating with Security teams to implement a Zero Trust model using Jamf Protect, Okta Device Trust, and Netskope, ensuring compliance with SOC2, HIPAA, and HITRUST. Security, Compliance & Cost Optimization:

Collaborated with security teams to enforce security policies using Zero Trust principles, including Okta SSO integration, IAM policies, and device management via Jamf, ensuring strict compliance with regulatory standards.

Developed and managed security workflows using Okta Workflows and Terraform, automating identity and access management processes and improving security posture by enforcing password-less access. Incident & Upgrade Management:

Directed enterprise endpoint management for a fleet of 1,000+ macOS devices using Jamf, integrating Zero Touch provisioning and Okta SSO for enhanced security and operational efficiency.

Spearheaded upgrades and troubleshooting across cloud infrastructure and endpoints to ensure minimal downtime and maintain secure, up-to-date systems.

Mentorship & Team Collaboration:

Mentored peers in CI/CD, infrastructure automation, and security best practices, fostering a collaborative culture and driving continuous improvement in operational excellence. AWS DevOps Engineer Capital One, TX Mar 2021 – Aug 2021 AWS Cloud & Infrastructure Automation:

• Provisioned and configured AWS infrastructure (EC2, S3, RDS, VPC, Route 53, IAM, Security Groups) using Terraform and CloudFormation.

• Designed and implemented scalable cloud-based solutions using AWS services such as SQS, S3, DynamoDB, IAM, Lambda, ELB, RDS, and API Gateway, ensuring high availability, fault tolerance, and security for enterprise-level applications.

• Documented comprehensive system configurations and backup procedures for rapid recovery in Ubuntu Linux and Amazon EC2-based systems.

• Developed Lambda functions in Python to automate AWS cloud operations, reducing manual intervention.

• Managed AWS Identity and Access Management (IAM), ensuring role-based access control (RBAC) and security best practices.

CI/CD & Kubernetes Deployment:

• Designed and deployed CI/CD pipelines in Jenkins and GitLab CI/CD, ensuring automated deployment across multiple environments.

• Deployed containerized applications using Kubernetes (EKS), implementing autoscaling policies and rolling updates.

• Created Helm charts to simplify and standardize Kubernetes deployments.

• Designed a fault-tolerant system for processing customer transactions in a microservices architecture, ensuring transaction data was accurately captured and processed across services in real-time.

• Leveraged AWS S3 and RDS to store and manage large transaction histories, allowing customers to access detailed reports and transaction summaries, while maintaining data integrity and security.

• Developed and maintained Ansible playbooks for OpenStack deployments; utilized Python and Node.js to automate AWS operations and streamline infrastructure tasks. SRE & Monitoring:

• Established monitoring and observability strategies using Datadog, Prometheus, and CloudWatch.

• Implemented centralized logging and alerting using Splunk Enterprise, enhancing system observability and troubleshooting efficiency.

• Set up PagerDuty and ELK-based logging (Elasticsearch, Logstash, Kibana) for proactive incident response.

• Implemented auto-healing mechanisms for Kubernetes clusters using custom monitoring scripts and AWS auto-recovery features.

Performance & Cost Optimization:

• Optimized DynamoDB and RDS (PostgreSQL, MySQL) queries, reducing database response time by 40%.

• Facilitated cross-team collaboration using agile tools (Jira, Azure DevOps, Confluence) to ensure alignment with business goals and agile methodologies.

• Used AWS Cost Explorer and Budgets to track and reduce cloud spending by 25%.

• Conducted load testing using JMeter and Locust to identify and resolve performance bottlenecks. AWS Developer Cisco, CA July 2019 – Feb 2021

CI/CD & Automation:

• Automated build and deployment processes using Jenkins, enabling continuous integration and delivery across diverse product lines.

• Utilized AWS CloudFormation to automate the provisioning of AWS infrastructure, reducing deployment time by 50% and ensuring repeatable, consistent environments.

• Stored and managed scripts, terraform configurations, and deployment artifacts maintaining version control and auditability.

AWS Cloud & Infrastructure Management:

• Deployed and optimized AWS resources (EC2, S3, RDS, EBS, ELB, Auto Scaling) to ensure secure, efficient resource management with strong IAM practices.

• Configured S3 versioning, lifecycle policies, and CloudWatch alarms to maintain data integrity and proactive incident notifications.

• Set up and maintained AWS RDS for relational database management, automating backups and optimizing performance to support high-traffic customer-facing applications. Configuration Management:

• Utilized Puppet for configuration management, developing and customizing modules to meet specific client requirements and operational needs.

Containerization & Orchestration:

• Developed containerized solutions using Docker and orchestrated deployments with Kubernetes (EKS, AKS, GKE) and Helm, ensuring robust, scalable SaaS applications.

• Deployed containerized applications using Amazon EKS, managing rollouts with Helm charts.

• Optimized Docker image builds, reducing container size by 40% and improving deployment speed. Version Control & Collaboration:

• Employed GitHub, GitLab, and Bitbucket for version control, ensuring best practices in code management and collaboration.

AWS Developer Harman, MN Aug 2017 – Jun 2019

AWS Cloud & Infrastructure Management:

• Provisioned and managed AWS resources via console and CLI, designing VPCs, subnets, routing tables, and internet gateways for secure, scalable network architectures.

• Launched and managed EC2 instances with Linux AMIs, implementing auto-scaling and load balancing to achieve high availability and optimized performance.

• Developed and enforced granular IAM policies, automating EBS snapshot scheduling via CloudWatch rules and SNS notifications for proactive data protection. CI/CD & Automation:

• Leveraged Jenkins and AWS CloudFormation to automate resource provisioning, significantly reducing manual effort and accelerating deployment cycles.

• Developed Python scripts to automate deployment tasks, such as code packaging, artifact uploads to S3, and invoking Lambda functions during build pipelines.

• Integrated Python-based testing frameworks (PyTest, UnitTest) into Jenkins pipelines to ensure code quality and reduce regressions before deployment.

Monitoring & Observability:

• Enhanced system observability using AWS X-Ray, Datadog, and Pepper Data, ensuring proactive issue detection and performance optimization.

• Integrated CloudWatch metrics and logs into Grafana dashboards for real-time performance visualization and historical trend analysis.

• Configured CloudWatch Agent and custom metrics to track EC2, Lambda, and container performance across environments.

• Created alerting rules in Grafana and CloudWatch to notify relevant teams via Slack and email when critical thresholds were breached.

Version Control & Collaboration:

• Collaborated with development teams to establish Git workflows, branching strategies, and environment promotion processes, ensuring reliable software releases. ACADEMIC PROJECTS

OKALHOMA CHRISTIAN UNIVERSITY OKLAHOMA JAN 2016 – APRIL 2017 Cloud Infrastructure Automation:

• Designed and deployed AWS cloud resources using Terraform and CloudFormation

• Configured EC2, S3, RDS, and Auto Scaling Groups (ASG) for a scalable web application. Containerized Application Deployment:

• Developed and deployed a web application using Docker and Kubernetes (EKS).

• Implemented basic Helm charts for managing Kubernetes deployments. CI/CD Pipeline Implementation:

• Built a simple CI/CD pipeline using Jenkins and GitHub Actions.

• Automated testing and deployment of a web application to AWS. EDUCATIONAL QUALIFICATIONS

Master of Science in Computer Engineering Jan 2016 - May 2017

Bachelor of Technology in Electric and communication Engineering May 2011 - May2015

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