Senior Cloud DevOps SRE Engineer

Location:

Sunnyvale, CA

Posted:

July 30, 2026

Contact this candidate

Resume:

Bharatee Kota

Senior Cloud / DevOps Engineer Site Reliability Engineer (SRE)

Email: ***************@*****.*** Phone: 408-***-****)

LinkedIn: https://www.linkedin.com/in/bharathi-reddy-kota/

PROFESSIONAL SUMMARY

•12+ years of experience in cloud and infrastructure technologies, specializing in Linux/UNIX, AWS, Azure, Kubernetes, Docker, and Terraform

•Supported multiple enterprise applications simultaneously across development, QA, staging, and production environments while managing CI/CD pipelines, cloud infrastructure, and production deployments. Strong expertise in AWS services such as EC2, S3, RDS, Lambda, VPC, CloudFormation, and Auto Scaling, with a focus on infrastructure automation using Terraform

•Deployed and managed containerized applications using Docker, Kubernetes, OpenShift, and Docker Swarm

•Designed and implemented CI/CD pipelines using Jenkins and ArgoCD, improving deployment efficiency and reducing manual intervention

•Integrated AWS CloudWatch with ELK Stack (Elasticsearch, Logstash, Kibana) for centralized logging and monitoring; utilized Splunk and AppDynamics for performance analysis

•Managed production Kubernetes clusters on AKS and GKE, including cluster upgrades, scaling, networking, ingress configuration, and production troubleshooting.

•Implemented CI/CD pipelines using Azure DevOps, automating application deployments, infrastructure provisioning, and release management across multiple environments.

•Configured and managed Azure networking components including Virtual Networks (VNet), NSGs, Azure Application Gateway, Load Balancers, and Azure DNS to support secure and highly available applications.

•Automated Azure infrastructure provisioning using Terraform and ARM templates, improving deployment consistency and reducing manual effort.

•Monitored Azure resources using Azure Monitor, Log Analytics, and Application Insights, proactively identifying and resolving performance issues Strong experience with NGINX for reverse proxy, load balancing, ingress configuration, and traffic routing in microservices architectures

•Managed Kubernetes and OpenShift environments, including Pods, Services, Deployments, Replication Controllers, and Persistent Volumes (PV/PVC)

•Built AWS infrastructure from scratch using Terraform, including EC2, ELB, EBS, S3, VPC, Security Groups, Auto Scaling, RDS, Route 53, ECS, and EKS

•Led Site Reliability Engineering initiatives by defining and monitoring SLIs, SLOs, and Error Budgets, improving platform reliability and reducing production incidents across Kubernetes-based microservices

•Managed Amazon EKS clusters in air-gapped/offline environments using Ansible, handling deployments and production issues.

•Migrated on-premises workloads to Microsoft Azure using Azure Recovery Services, Azure Backup, and container-based solutions.

•Deployed and supported Azure Virtual Machines, Blob Storage, Tables, and Queues, resolving production issues.

•Configured Azure VPNs, Virtual Networks (VNet), Network Security Groups (NSGs), and Firewalls; performed backup and recovery operations.

•Managed AWS EKS production clusters across multiple Availability Zones, implementing Helm, HPA/VPA, Cluster Autoscaler, and self-healing capabilities to ensure high availability and scalability.

•Provisioned and managed GCP networking including VPCs, firewall rules, Cloud Storage, Pub/Sub, IAM, Cloud Functions, and Compute Engine using Terraform.

•Administered Linux (RHEL, CentOS, Ubuntu) servers including package management, system monitoring, user administration, file systems, process management, cron jobs, SSH configuration, and troubleshooting production issues.

•Configured and maintained Akamai Web Application Firewall, Bot Manager, DDoS protection, and security policies to protect high-volume eCommerce applications from web-based attacks.

•Automated GCP infrastructure using Terraform, including Cloud Functions, Dataflow, BigQuery, and Pub/Sub.

•Built Jenkins pipelines to provision AWS infrastructure using Terraform code from Git repositories.

•Troubleshot issues related to Kubernetes, Azure AKS, networking, DNS, SSL/TLS, ingress controllers, and application connectivity in production environments.

•Collaborated with development, QA, infrastructure, and business teams to resolve production issues and ensure successful application releases.

•Utilized Terraform extensively for Infrastructure as Code (IaC), execution planning, and automated provisioning across AWS and Azure.

•Monitoring & Observability: Splunk APM, Splunk Cloud, OpenTelemetry, AWS CloudWatch, Prometheus, Grafana, ELK Stack, AppDynamics

•Implemented monitoring solutions using Prometheus, Grafana, Splunk, and Nagios with alerting and dashboards.

TECHNICAL SKILLS

•Cloud Platforms: AWS (EC2, S3, RDS, VPC, Lambda, Glue, CloudFormation), Microsoft Azure (AKS, Virtual Machines, Active Directory, Storage, Functions), Google Cloud Platform (GCP – VPC, Compute Engine, Cloud Functions, Pub/Sub, BigQuery, Dataflow)

•CI/CD & Release Engineering: Jenkins, GitHub Actions, GitLab CI, Bamboo, ArgoCD, Harness, XL Release (XLD), SonarQube

•Containerization & Orchestration: Docker, Kubernetes, OpenShift, Helm

•Infrastructure as Code (IaC): Terraform, CloudFormation, Ansible, ARM Templates

•Scripting & Automation: Python, Bash, PowerShell, YAML

•Monitoring & Observability: Splunk, AWS CloudWatch, Prometheus, Grafana, ELK Stack, AppDynamics

•Version Control Systems: G Git, GitHub, GitLab, Bitbucket, SVN, Nexus

•Databases: AWS RDS, Aurora, DynamoDB, PostgreSQL, MySQL, Cassandra, Couchbase, MongoDB, Redis, Elasticsearch

•Operating Systems: Linux (RHEL, CentOS, Ubuntu), Windows

PROFESSIONAL EXPERIENCE

world Pay Apr 2025– Present Sr Could Platform Engineer/SRE

Responsibilities:

•Designed and maintained CI/CD pipelines using Jenkins, GitHub Actions, ArgoCD, Helm, SonarQube, and XL Release (XLD) to automate build, testing, release, and deployment processes for frontend, backend, chatbot, and GenAI applications.

•Built and deployed containerized applications on Kubernetes using Docker, Helm, ArgoCD, Jenkins, and GitHub Actions, supporting chatbot, GenAI, and microservices-based platforms.

•Led GitOps adoption and DevOps enablement initiatives, implementing automated release management, environment promotions, and deployment workflows across development, QA, staging, and production environments.

•Managed Kubernetes clusters, Helm charts, ingress configurations, and deployment strategies while supporting cloud-native application modernization efforts.

•Developed Python automation scripts for chatbot and GenAI platforms to automate deployments, environment validation, configuration updates, health checks, and post-deployment verification.

•Automated post-deployment smoke testing and environment validation using Python and Bash scripts, improving release reliability and reducing production issues.

•Configured and administered NGINX and Traefik as ingress controllers, reverse proxies, and load balancers, including migration of applications from legacy platforms to Kubernetes-based environments.

•Developed Git-based automation workflows for code releases, image builds, database migrations, schema updates, rollback procedures, and deployment activities using GitHub Actions and Jenkins.

•Provisioned and managed AWS infrastructure using CloudFormation, including EC2, VPC, IAM, Security Groups, Route 53, S3, RDS, ECS, Fargate, Load Balancers, Auto Scaling, and CloudWatch.

•Managed AWS RDS (Oracle), AMI creation, EC2 lifecycle operations, infrastructure monitoring, and cloud migration activities to support highly available production environments.

•Migrated Kubernetes applications from NGINX Ingress Controller to Traefik, redesigning ingress resources, middleware, and routing policies to improve scalability and simplify traffic management.

•Configured Traefik Ingress Route, Middleware, TLS Stores, TLS Options, Entry Points, and Services for secure HTTP/HTTPS routing across multiple AKS and Kubernetes environments.

• Migrated SSL/TLS certificates, implemented automatic HTTPS redirection, sessions, and load balancing using Traefik.

•Configured Traefik Middleware for authentication, rate limiting, request headers, redirects, circuit breaking, retries, and IP whitelisting.

•Optimized ingress performance by migrating from NGINX annotations to Traefik CRDs, reducing configuration complexity and improving application response times.

•Monitored cloud infrastructure using Prometheus, Grafana, proactively identifying performance bottlenecks and improving system reliability.

•Managed TLS/SSL certificate lifecycle on Akamai, including certificate deployment, renewal, HTTPS enforcement, secure cipher configuration, and end-to-end encryption between edge and origin.

•Collaborated with development and infrastructure teams to troubleshoot Akamai CDN issues, optimize cache-hit ratios, analyze edge logs, and resolve origin connectivity and performance bottlenecks

•Troubleshot production issues related to ingress controllers, DNS resolution, TLS certificates, backend services, and Kubernetes networking during migration activities

•Extensive Release Engineering experience supporting production deployments, automated release pipelines, incident response, rollback strategies, and Root Cause Analysis for cloud-native applications.

•Integrated SonarQube quality gates and XL Release (XLD) into CI/CD pipelines to improve code quality, release governance, and deployment automation.

•Collaborated with development, QA, database, AI/ML, and platform teams to support production deployments, incident resolution, root cause analysis, and continuous platform improvements

McDonalds Capgemini Mar 2020- Jan 2025

Role; Sr DevOps Engineer

Responsibilities:

•Designed and implemented cloud and hybrid infrastructure solutions across AWS and Microsoft Azure, supporting scalable, secure, and highly available production environments.

•Built and managed CI/CD pipelines using Jenkins, Git/GitHub, Maven, and NPM, automating build, test, and deployment processes for Java, Node.js, and AngularJS applications.

•Orchestrated containerized applications using Docker, Docker Compose, Kubernetes, and Ansible, supporting microservices-based architectures and automated application deployments.

•Developed and managed Kong API Gateway solutions, including API routing, security policies, and automation using Bash scripting.

•Provisioned and managed AWS infrastructure including EC2, S3, RDS, EBS, ELB, Lambda, Route 53, CloudWatch, VPC, Auto Scaling, and CloudFront services.

•Managed production AKS, EKS clusters, performing cluster upgrades, node pool scaling, ingress management, and workload optimization.

•Administered Kubernetes resources including Deployments, StatefulSets, DaemonSets, Services, Ingress Controllers, ConfigMaps, Secrets, and Persistent Volumes.

•Designed and configured AWS VPC environments with subnets, Security Groups, Elastic IPs, IAM policies, and implemented security best practices including MFA, access key rotation, and secure S3 bucket policies.

•Automated infrastructure provisioning using Terraform, Jenkins, Python, Bash, and Boto3, enabling Infrastructure as Code (IaC), resource optimization, and operational efficiency.

•Configured monitoring and observability solutions using ELK Stack (Elasticsearch, Logstash, Kibana), CloudWatch, and Nagios to improve system visibility, performance monitoring, and infrastructure reliability.

•Implemented load balancing and traffic management using NetScaler, Elastic Load Balancers, Route 53, and Auto Scaling to support highly available applications.

•Managed AWS RDS (Oracle) databases, MongoDB, and Cassandra environments while monitoring database performance, availability, and backup operations.

•Optimized application performance by implementing Redis and Memcached caching strategies, reducing latency and improving response times for high-volume services.Managed enterprise applications hosted on Apache Tomcat, WebLogic, WebSphere, and JBoss servers, providing deployment support, troubleshooting, and performance optimization.

•Built reusable AMIs, automated log backup and archival processes, and integrated Docker with Ansible for configuration management and deployment automation.

•Collaborated with development and QA teams to troubleshoot build failures, resolve deployment issues, and improve release management processes across multiple environments.

Infosys British Telecom Mar 2019 –Feb 2020 Sr. Azure Cloud / DevOps Engineer

Responsibilities:

•Migrated on-premises and Azure Classic environments to Azure Resource Manager (ARM) using Azure Site Recovery, improving scalability, availability, and operational efficiency.

•Designed and managed Azure cloud infrastructure including App Services, Web Apps, DNS, Traffic Manager, Network Watcher, Application Gateway, Virtual Machines, VNets, subnets, Azure SQL Database, Storage Accounts, Azure AD, and Office 365 services.

•Automated infrastructure provisioning and configuration management using Terraform, including reusable modules, backends, variable files, and multienvironment deployments across development, test, and production environments.

•Built and deployed containerized applications using Docker, Kubernetes, Azure Kubernetes Service (AKS), Docker Swarm, Helm Charts, and Azure Container Registry (ACR), supporting scalable microservices-based applications.

•Implemented CI/CD pipelines using Jenkins, Azure DevOps, TeamCity, Maven, MS Build, and uDeploy, enabling automated build, release, deployment, backup, and disaster recovery processes.

•Managed AKS clusters including networking, scaling, ingress configurations, and integration with MySQL, Cosmos DB, and other backend services.

•Implemented identity and access management solutions using Azure AD, SAML 2.0, OAuth 2.0, WS-Federation, and Ping Federate, ensuring secure authentication and authorization.

•Configured monitoring and observability solutions using Azure Monitor and Splunk, providing centralized logging, performance monitoring, security visibility, and issue resolution.

•Developed automation solutions using Python, Ansible, Ansible Tower, Chef, Puppet, PowerShell, and YAML for server provisioning, application deployments, configuration management, and infrastructure operations.

•Processed and transformed data from Azure Blob Storage and Data Lake into HDInsight environments while supporting enterprise data integration requirements.

LTI APPLE Mar 2018– Feb 2019

Role: Sr. DevOps Engineers

Responsibilities:

•Designed and deployed scalable applications on AWS using EC2, S3, RDS, Lambda, ELB, Route 53, and CloudFront, ensuring high availability, fault tolerance, and auto-scaling capabilities.

•Architected and provisioned secure multi-zone AWS infrastructure using CloudFormation, implementing Infrastructure as Code (IaC) and automated deployment processes.

Built and managed CI/CD pipelines using Jenkins, ANT, Maven, and Chef, enabling automated build, testing, and deployment for Java/J2EE, Oracle ADF, and SOA applications.

•Installed, configured, and administered Jenkins environments, including master-slave architecture, plugin management, and performance optimization.

•Led migration initiatives from legacy tools and platforms including PVCS to SVN, Hudson to Jenkins, and Tracker to Jira, improving development and release management processes.

•Developed and managed Docker containers using Docker Engine, Docker Compose, and private container repositories, supporting application containerization and deployment automation.

•Utilized Kubernetes for container orchestration, workload management, and implementation of immutable infrastructure practices.

•Automated AWS infrastructure and operational tasks using Python scripts for provisioning, configuration management, security controls, and cloud resource management.

•Implemented monitoring and observability solutions using Splunk and SolarWinds, creating dashboards, reports, and alerts to improve system performance, reliability, and operational visibility.

•Managed web and application servers including Apache, Tomcat, and WebLogic, along with MySQL databases across development, testing, and production environments.

•Maintained source code repositories using GitHub, GitLab, SVN, and TFS, implementing branching, tagging, and release management strategies.

•Configured Nexus Repository Manager for artifact storage and dependency management and utilized Jira for issue tracking, release coordination, and team collaboration.

ITC InfoTech SM Technosys Feb 2015– Mar- 2018

Role: Build and Release Engineer

Responsibilities:

•Designed and deployed scalable applications on AWS using EC2, S3, RDS, Lambda, ELB, Route 53, and CloudFront, ensuring high availability, fault tolerance, and auto-scaling capabilities.

•Architected and provisioned secure multi-zone AWS infrastructure using CloudFormation, implementing Infrastructure as Code (IaC) and automated deployment processes.

•Built and managed CI/CD pipelines using Jenkins, ANT, Maven, and Chef, enabling automated build, testing, and deployment for Java/J2EE, Oracle ADF, and SOA applications.