Devops Engineer Cloud
Resume:
Sai Kiran Mutyala Phone: 541-***-****
Email: **********@*****.***
DevSecOps/SRE/Cloud Engineer
Professional Summary:
Results-oriented DevOps Engineer with 9+ years of experience in designing, deploying, and managing cloud infrastructure using AWS, Terraform, and Kubernetes. Proficient in Python, Bash, and PowerShell, with a strong track record of optimizing CI/CD pipelines and enhancing system reliability. Skilled in building scalable microservices architectures, implementing observability solutions, and applying security best practices. Adept at collaborating with cross-functional teams to improve workflows and deployment processes. Proven ability to drive automation, manage infrastructure as code, and deliver high-quality solutions in fast-paced environments. Master’s degree in information technology.
TECHNICAL SKILLS:
Cloud: AWS, Azure, multi-cloud.
Scripting languages: Python, Bash/Shell, PowerShell, Ruby, Perl, Groovy.
Databases: MySQL, MongoDB, PostgreSQL, SQL Server, DynamoDB, Elasticsearch, RDS.
Web/app servers: Nginx, Apache, Tomcat, WebSphere Application Server, JBoss.
Build tools: Jenkins, GitLab CI/CD, CircleCI, GitHub Actions, NPM.
Version control tools: Git, Bitbucket, Mercurial, SVN, AzureGit, Gitlab.
Infrastructure as code (IaC) : Terraform, AWS Cloud Formation, Ansible.
Security tools and practices: AWS IAM, Azure Security Center, SonarQube, Veracode, Twist lock, Datadog.
Monitoring tools: Prometheus, Grafana, Elasticsearch, Kibana, Splunk, Dynatrace.
Containerization and Orchestration: Kubernetes, Docker, Podman.
Messaging Systems: Kafka, RabbitMQ.
LDAP and Identity Management: Keycloak, Okta.
Artifact Repositories: JFrog Artifactory, Nexus Repository.
Cluster Management: Kubernetes, OpenShift, Rancher.
Troubleshooting and problem-solving skills.
Professional Experience:
Charter Communications Denver, USA––Feb 2022-Present
Role: DevSecOps Engineer
Spearheaded the migration of a legacy on-premise infrastructure to a multi-cloud environment (Azure, AWS, GCP), reducing operational costs by 30% and improving scalability.
Led the creation of an automated infrastructure deployment framework using Terraform and Python, streamlining multicloud environments and reducing deployment time by 70%.
Administered and optimized Amazon RDS instances, ensuring high availability, performance, and security of database environments.
Modernized legacy systems by migrating to cloudnative solutions and automating workflows with Python and PowerShell scripts, improving process efficiency and reducing operational overhead.
Designed and implemented custom Python and Bash scripts for automating application deployments and system monitoring, improving operational efficiency and reducing manual errors by 85%.
Developed an advanced incident management system using the ELK stack for enhanced log aggregation and proactive issue resolution, cutting incident response times by 45%.
Developed a scalable and resilient architecture for a high traffic web application on AWS, resulting in 99.99% uptime and improved user experience.
Developed automated impact analysis tools to evaluate potential effects of system changes, ensuring compatibility and stability across integrated systems.
Designed and implemented networking solutions, configuring TCP/IP, DNS, SMTP, and HTTP protocols, and managing distributed networks to ensure robust connectivity and performance.
Managed and optimized AWS infrastructure, including EC2 instances, S3 buckets, and VPC configurations, to ensure cost efficiency and performance.
Orchestrated the migration of on premises applications to the cloud, leveraging AWS Lambda for improved scalability.
Designed and implemented Terraform configurations for multiple environments (dev, staging, production), allowing for seamless promotion of infrastructure changes.
Designed and implemented an automated deployment pipeline using CloudFormation templates integrated with Jenkins and GitLab CI/CD, reducing deployment time by 50%.
Developed and maintained Python, Perl, and Bash scripts to automate the build process, reducing deployment time by 50%.
Championed DevOps initiatives by promoting automation tools like Docker and Kubernetes, leading knowledge sharing sessions, and advocating for a DevOps culture, resulting in a 50% increase in deployment frequency.
Implemented autoscaling groups with mixed instance policies, combining OnDemand and Spot Instances for enhanced availability and cost efficiency.
Integrated observability tools such as Prometheus and Grafana for realtime insights into system performance.
Collaborated closely with cross functional teams, including product managers, engineers, and customers, to tackle complex technical challenges and deliver innovative solutions.
Proposed a new microservices architecture design to enhance application resiliency and availability, incorporating fault tolerant patterns such as circuit breakers and retry mechanisms.
Implemented Ansible playbooks for application configuration, ensuring consistency across various environments.
Implemented a documentation management system for SOPs and runbooks, ensuring accessibility and accuracy for the operations team.
Consistently shared best practices and improved processes within and across teams, facilitating knowledge sharing and enhancing collective problems-related capabilities.
Wellmark-BCBS – Des Moines, USA––Mar 2018 – Jan 2022
Role: SRE/DevOps Engineer
Architected secure cloud environments by applying IAM policies, integrating AWS Security Hub, and automating vulnerability assessments to achieve 100% compliance with security standards.
Designed and implemented hybrid cloud connectivity using AWS Direct Connect and Azure ExpressRoute, ensuring seamless integration between on-premise and cloud environments.
Developed and maintained complex AWS CloudFormation templates and CDK stacks for provisioning and managing cloud infrastructure, ensuring scalable and repeatable deployments.
Provided training and support for CI/CD best practices, created detailed documentation, and facilitated workshops to improve the deployment experience and collaboration among engineering teams.
Contributed to cost optimization by dynamically scaling resources based on demand using Terraform auto-scaling configurations.
Developed and maintained well-documented custom Infrastructure as Code scripts, including Azure IAM Security Roles.
Involved in firewall deployment and management in Azure.
Leveraged Azure DevOps pipelines to automate build, test, and deployment for AngularJS frontend and TypeScript backend, ensuring rapid and reliable releases.
Reduced deployment time for SailPoint IdentityIQ releases by 50% using a DevOps pipeline.
Automated the deployment of Dynatrace agents alongside application releases for continuous monitoring.
Played a pivotal role in migration from TFS to Azure DevOps, streamlining development workflows.
Automated 80% of users provision and access management tasks using custom BuildMap rules and workflows.
Utilized Docker for containerizing both frontend and backend applications, orchestrated with JFrog for efficient scaling and management.
Developed Python-based microservices integrated with Apache Kafka for real-time data processing.
Implemented POC projects to validate new DevOps solutions, demonstrating feasibility and performance improvements.
Leveraged monitoring and profiling tools to optimize system performance, utilizing CPU and memory profiling for enhanced resource allocation and application efficiency.
Provided technical support, troubleshot issues, and optimized performance across multiple cloud platforms.
Collaborated with cross-functional teams to design and implement RESTful APIs for seamless integration with frontend and third-party services.
Collaborated on the integration of in-house applications with enterprise third-party solutions.
ACT- Iowa City, USA––Aug 2016 – Feb 2018
Role: Cloud and Linux Engineer
Led the automation of cloud infrastructure using AWS CDK and CloudFormation, and managed project roadmaps to ensure seamless integration and deployment across various stages.
Implemented Kubernetes for container orchestration, optimizing resource management and application scaling. Managed containerized applications using AWS ECS and ECR.
Utilized Git for version control, managing branches, and collaborating on code with crossfunctional teams, ensuring streamlined code integration and version management.
Revamped the CI/CD pipeline to include automated testing frameworks, such as Jenkins and pytest, increasing test coverage by 35% and reducing integration issues by 50%.
Implemented AWS Cost Explorer and CloudWatch for realtime monitoring of resource usage, resulting in a 40% reduction in cloud infrastructure costs and improved resource efficiency by 30%.
Automated the deployment of a new web application to AWS using Ansible playbooks, reducing deployment time by 50%.
Introduced Kubernetes for container orchestration, enhancing platform scalability and reliability, and conducted cost benefit analyses to validate technology choices.
Integrated Kafka management tasks into CI/CD pipelines, streamlining delivery and updates.
Developed Ansible playbooks to provision, configure, and scale Kafka clusters, optimizing performance and resource utilization.
Used Ansible to orchestrate the deployment of a new microservices architecture to Kubernetes.
Developed Ansible playbooks to provision, configure, and scale OpenShift clusters.
Utilized AWS CDK to define cloud infrastructure in code, enabling efficient provisioning and management.
Configured and maintained WebLogic domains, optimizing server settings for maximum throughput and reliability.
Designed and implemented disaster recovery for VMware and WebLogic.
Managed multiple production servers across various platforms, ensuring high availability and performance.
Scripted shell commands to automate daily server maintenance tasks on a fleet of 100+ CentOS servers, reducing manual workload by 70%.
Developed and maintained robust automation scripts in Python, Bash, and PowerShell, enhancing system management and operational workflows.
Collaborated with developers to improve code quality and reliability of a C/C++ project.
Troubleshot and resolved a complex Active Directory issue causing a production outage.
Managed and optimized both Windows and Linux environments, applying best practices for system configuration, security, and performance tuning.
Proficient in Linux administration, RHEL, CentOS, and Ubuntu distributions, AWS services, and basic Windows Server administration.
Education:
- Master’s in computer and information sciences from Southern Arkansas University-USA-2016
- Bachelor’s in mechanical engineering from JNTU Hyderabad, India-2013
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