Configuration Management AWS DevOps
Resume:
VINAY PADALA
AWS DevOps SRE MLOps Engineer *+ YOE AZURE EKS
CI&CD Airflow
*****.********@*****.***
https://linkedin.com/in/vinay-padala-452
571128/
Atlanta, GA
SUMMARY
AWS Certified DevOps & SRE Engineer with 9+ years of experience in designing, implementing, and maintaining scalable, secure, and resilient cloud infrastructure across AWS and Azure.
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Cloud Expertise: Hands-on experience with AWS (EC2, EKS, ECS, S3, RDS, Lambda, EMR, OpenSearch) and Azure (Azure DevOps, VMs, Blob Storage, Azure Functions, Azure Monitor, Azure SQL).
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Infrastructure as Code (IaC): Proficient in Terraform, CloudFormation, and ARM templates for provisioning and managing infrastructure in AWS and Azure.
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Configuration Management: Experience with configuration management and infrastructure as code tools including Chef, Puppet, Ansible, and AWS CDK.
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CI/CD & Automation: Expertise in building and maintaining CI/CD pipelines using Jenkins, Bamboo, Azure DevOps, GitHub Actions, Tekton, and ArgoCD to enable seamless and automated deployments.
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Containerization & Orchestration: Skilled in Docker and Kubernetes (EKS, AKS), with experience in Helm, Karpenter, and autoscaling for high-availability deployments.
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Monitoring & Logging: Implemented observability solutions using AWS CloudWatch, Splunk, Azure Monitor, Prometheus, and Grafana for system performance and availability.
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Networking: AWS Networking Specialist with hands-on experience designing and implementing secure, scalable network architectures using VPC, Direct Connect, Transit Gateway, and Load Balancers. Proficient in optimizing performance and enforcing security through CloudFront, security groups, and perimeter security solutions
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Apache Airflow: Designed and orchestrated complex data pipelines using Airflow for scheduling and monitoring data workflows across AWS and Azure.
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Airflow Pipeline Design and Maintenance: Pioneered the implementation and ongoing maintenance of data pipelines in Airflow, streamlining the automation of data processing tasks for improved operational efficiency
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MLOps: Experience supporting ML pipelines with Airflow, S3, EKS, SageMaker (AWS), and Azure Machine Learning, enabling scalable and repeatable ML model operations.
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Data Engineering: Worked on ETL pipelines using AWS Glue, EMR, Lambda, and Azure Data Factory, integrating large- scale structured and unstructured data from various sources.
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Cost Optimization & Governance: Implemented automated cost tracking, resource tagging, and right-sizing strategies to reduce cloud spend and enforce compliance.
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Security & Compliance: Applied best practices in IAM, VPC security groups, Azure RBAC, and infrastructure scanning to maintain compliance and secure infrastructure.
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DevOps in Healthcare Domain: Delivered solutions for HIPAA-compliant infrastructure in healthcare applications, ensuring data privacy and operational excellence.
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Agile & Collaboration: Strong background in Agile environments, collaborating with cross-functional teams to ensure smooth delivery cycles and rapid feedback loops.
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• Certifications: AWS Certified Solutions Architect – Associate TECHNICAL SKILLS
AWS Cloud : AWS(EC2, ECS, EKS, EMR, S3, LoadBalancer, Lambda, ASG, EFS, CDN, RDS, ElasticCache, EMR, Glue, OpenSearch, RedShift, CloudWatch, VPC, Route53, IAM, WAF, SageMaker, SNS, SQS, LightSail, BeanStalk, Apache Airflow) Azure Cloud : Azure(VM, AKS, ACI, Azure Functions, Blob Storage, Files, CDN, SQL, Log Analytics, VNET, Application Gateway, NSG)
Containerization : Docker, Kubernetes
CI/CD Tools : Jenkins, Bamboo, Tekton, GitLab Actions, ArgoCD VCS : GIT, BitBucket
Configuration Management : Terraform, CloudFormation, Ansible, Chef, Ansible, Puppet Opertaion System : Linux, Windows, Unix
Scripting Language : Shell, Python
Monitoring Tools : DataDog, Splunk, CloudWatch, Grafana DevSecOps Tools : Sonar Scanner, Veracode, Checkmarx WORK EXPERIENCE
Carelon Global
Solutions(Client: Elevance
Health)
Hyderabad, India
Nov 2019 - Mar 2025
Senior DevOps Engineer
Architected and managed public and private cloud infrastructure using AWS services, including VPC, EC2, S3, CloudFront, EFS, RDS, Route 53, ECS, EKS, ECR, AWS Glue, OpenSearch, Gateways, Auto Scaling Groups, and Lambda, aligning solutions with business requirements.
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Designed and implemented fully automated CI/CD pipelines using Tekton and Bamboo for seamless code deployments into AWS infrastructure, ensuring high reliability and efficiency in software delivery.
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Reduced infrastructure costs by 30% by optimizing AWS resource allocation, leveraging Karpenter for dynamic EKS node provisioning, and implementing Auto Scaling Groups.
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Accelerated CI/CD pipeline execution by 50%, reducing deployment time from 40 minutes to under 20 minutes by optimizing Tekton and Bamboo workflows .
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Designed and implemented fully automated CI/CD pipelines using Tekton and Bamboo
,ensuring 99.9% deployment reliability and zero-downtime releases.
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Migrated from AWS ECS to AWS EKS, improving workload orchestration and scalability by 3x while reducing operational overhead.
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Refactored application deployment pipelines for Kubernetes-native workflows in EKS and Elastic Beanstalk, ensuring seamless integration with existing CI/CD processes.
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Optimized Kubernetes infrastructure with Karpenter, enabling dynamic scaling, reducing idle compute costs by 25%, and improving cluster efficiency.
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Deployed and managed OpenSearch as a backend data store, ensuring sub-50ms query response times and high availability for mission-critical applications.
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Implemented SRE best practices, including error budgets, SLOs, automated incident response, and self-healing architectures, improving MTTR (Mean Time to Resolution) by 40%.
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Enhanced observability and incident response using CloudWatch, Splunk, and DataDog Dashboards, proactively detecting and resolving 95% of issues before impacting users.
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Automated AWS infrastructure provisioning using Terraform and CloudFormation, ensuring100% consistency across environments and reducing manual errors.
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Played a key role in AWS Landing Zone (NLZ) implementation, improving security, governance, and compliance adherence across multiple environments.
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Developed self-healing architectures using Kubernetes health probes, AWS Lambda, and automated failover mechanisms, reducing downtime and improving availability.
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Conducted post-mortem analysis for incidents, identifying root causes and implementing corrective actions to prevent recurrence, reducing incident frequency by 35%.
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Implemented chaos engineering principles to proactively test failure scenarios and improve system stability.
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Orchestrated data processing workflows using AWS EMR Serverless and Apache Airflow, improving data processing efficiency by 60%.
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Developed Python automation scripts to streamline operational tasks, reducing manual intervention by 40%.
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Managed GitHub repositories, enforcing branching strategies, permissions, and CI/CD integrations, ensuring seamless collaboration and code stability.
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Led zero-downtime deployments, implementing canary releases, blue-green deployments, and rollback automation, reducing deployment failures by 90%.
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• Promoted Agile and Scrum methodologies, ensuring faster feature delivery and reducing release cycles from 4 weeks to 2 week.
Cloud Automation
Solutions(Client: TierPoint &
Cisco)
Hyderbad, India
Jan 2016 - Oct 2019
Cloud Engineer
Collaborated with cross-functional teams to enhance system reliability, resulting in a 30% reduction in downtime and improved user satisfaction.
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Collaborated with cross-functional teams to integrate Azure DevOps pipelines for specific healthcare compliance modules.
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Managed small-scale Azure Kubernetes Service (AKS) workloads and deployed Proof of Concept workloads on Azure Functions and Blob Storage.
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Used Azure Monitor and Log Analytics for telemetry and comparison during hybrid cloud assessments.
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Collaborated with data teams to support data lake ingestion pipelines using AWS Glue, Airflow, and S3 lifecycle policies.
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Created dashboards for capacity forecasting and cost tracking using QuickSight and Grafana.
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Mentored 3 junior engineers on AWS and DevOps tools, increasing team efficiency and cloud maturity.
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Maintained documentation, playbooks, and recovery strategies for critical services hosted across AWS and Azure.
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• Experience in infrastructure automation and configuration management using Chef
• Proficient in managing system configurations and deployments with Puppet.
• Hands-on experience automating IT workflows and provisioning with Ansible. Skilled in defining cloud infrastructure using AWS Cloud Development Kit (CDK) in code.
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Managed and optimized cloud environments (DEV, QA, and Production), ensuring seamless deployments and high availability.
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Designed and implemented end-to-end build and release processes, streamlining deployment for both on-premises and cloud-based applications.
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Configured and maintained CI/CD pipelines using Jenkins, automating application builds, testing, and deployments.
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Provisioned and managed AWS RDS databases, implementing automated backups to S3 for data protection and recovery.
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Administered critical AWS services including IAM, EC2, RDS, Route 53, S3, SES, and SNS, ensuring security, scalability, and fault tolerance.
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Automated infrastructure provisioning and management using Cisco Process Orchestrator and StackStorm, enabling self-service deployment workflows.
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Integrated Git with Jenkins, ensuring version control best practices, code quality enforcement with SonarQube, and security scanning using Veracode.
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Streamlined deployment processes for both on-premises and cloud-based applications, significantly cutting down release times and deployment errors.
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Developed custom shell and Python scripts for routine operational tasks such as log rotation, backup automation, and service health checks.
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Led incident response efforts, root cause analysis, and implementation of preventive measures, reducing critical incidents by 30%.
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Monitored application and infrastructure health using AWS CloudWatch, creating alarms and dashboards for proactive alerting and capacity planning.
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Supported DevSecOps practices by incorporating security checks into pipelines and ensuring role-based access and least privilege policies across AWS accounts.
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Configured AWS Direct Connect to establish low-latency, dedicated network connections between on-premises infrastructure and AWS, improving data transfer speeds and reducing costs.
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Deployed and managed AWS Transit Gateway to enable scalable and simplified connectivity between multiple VPCs and on-prem networks.
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Integrated Amazon CloudFront as a CDN layer to accelerate global content delivery and reduce latency for end users.
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Created and managed security groups and network ACLs to enforce granular access control at the instance and subnet level.
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PROJECTS
Hyderabad, India
Jun 2023 - Dec 2024
Migration from ECS to EKS, Carelon Global Solutions Hyderabad, India
Jan 2021 - Jun 2022
Migration of Apache Solr to OpenSearch and RDS, Carelon Global Solutions
Transitioned containerized applications from Amazon ECS to Amazon EKS, significantly enhancing workload orchestration, scalability, and portability.
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Designed and implemented CI/CD pipelines using Tekton for Kubernetes-native build and deploy workflows, enabling faster and more reliable releases.
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Utilized ArgoCD for GitOps-based multi-environment deployments, ensuring consistency, rollback capability, and improved release traceability.
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Created Helm charts for reusable Kubernetes manifests, simplifying application deployment and configuration management across environments.
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Optimized Kubernetes cluster autoscaling with Karpenter, reducing cost and improving resource utilization by dynamically provisioning nodes.
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Implemented Service Mesh (Istio) to enhance traffic control, observability, and security between microservices.
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Set up monitoring and alerting using Prometheus and Grafana, improving visibility into cluster health and application metrics.
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Automated infrastructure provisioning using Terraform, ensuring consistency across dev, test, and prod EKS environments.
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Migrated data pipelines and background jobs to run in EKS with Kubernetes CronJobs and AWS Lambda, achieving better scheduling and reliability.
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Conducted knowledge transfer and documentation sessions to upskill internal teams on EKS architecture, best practices, and deployment patterns.
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Led the end-to-end migration of large-scale search indexes from Apache Solr to AWS OpenSearch, enhancing scalability, high availability, and real-time search capabilities.
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• Migrated relational data from legacy systems to Amazon RDS (MySQL/PostgreSQL), improving database reliability and performance.
Hyderabad, India
Dec 2019 - Jun 2020
Migration from On-Premises to AWS, Carelon Global Solutions Utilized AWS Glue crawlers and custom ETL scripts for data discovery, schema inference, and efficient data transformation during migration.
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Orchestrated batch and streaming data pipelines using AWS EMR and Apache Spark, ensuring high-throughput processing and minimal data latency.
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Created custom analyzers and tokenizers in OpenSearch to support advanced search use cases such as autocomplete, fuzzy search, and multilingual queries.
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Enhanced search response times by over 60% post-migration by tuning OpenSearch configurations and optimizing query execution.
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Designed fault-tolerant and restartable ETL jobs in Glue and EMR, ensuring minimal data loss in the event of job failures.
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Integrated OpenSearch Dashboards for visualizing search analytics and monitoring cluster health metrics.
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Documented and trained internal stakeholders on managing OpenSearch clusters, best practices for index optimization, and RDS performance tuning.
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Designed and deployed scalable and secure AWS infrastructure using CloudFormation templates (CFT), ensuring consistency and repeatability across multiple environments (DEV, QA, UAT, PROD).
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Migrated monolithic and microservices-based applications to Amazon ECS, leveraging Fargate and EC2 launch types based on workload characteristics and cost-efficiency.
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Implemented Auto Scaling Groups (ASG) and Application Load Balancers (ALB) to handle dynamic traffic patterns and ensure high availability.
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Integrated AWS WAF with CloudFront and ALB to protect against OWASP Top 10 vulnerabilities and DDoS attacks.
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Used Amazon Route 53 for domain management, routing policies, and global traffic distribution.
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Integrated Akamai CDN for low-latency content delivery, enabling global acceleration of static and dynamic content with edge caching.
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Hyderabad, India
Aug 2016 - Aug 2019
Cloud & Infrastructure Provisioning, Cloud Automation Solutions Used Elastic File System (EFS) for shared storage across ECS tasks and Amazon S3 for scalable object storage and static site hosting.
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Conducted performance testing and cost analysis, optimizing ECS task definitions, container images, and auto-scaling rules to reduce compute cost by 20%.
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Coordinated disaster recovery (DR) strategies with multi-AZ deployment architecture and automated failover mechanisms.
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Designed and maintained scalable cloud infrastructure supporting high-availability applications across multiple environments.
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Monitored and optimized system performance using CloudWatch, Prometheus, and Grafana, improving reliability and uptime.
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Implemented security best practices across infrastructure, including encryption, least privilege access, and auditing.
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Collaborated with development teams to support microservices architecture and containerized applications using Docker.
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Led migration of legacy systems to cloud-native solutions, reducing operational overhead and increasing deployment speed.
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Wrote custom scripts in Python and Bash to automate routine tasks and infrastructure validations.
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Participated in disaster recovery planning and setup, ensuring business continuity through automated backups and failover strategies.
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CERTIFICATIONS
Jan 2022 AWS Certified Solutions Architect Associate by Amazon Web Services
EDUCATION
Bangalore, India
Jun 2012 - May 2016
Bachelor of Education in Computer Science
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