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Vyshavi - Devops Engineer

[email protected]

Location: Dallas, Texas, USA

Relocation: Yes

Visa: H1B

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Vyshnavi K DevOps Engineer 469-429-4848 / [email protected] EXPERIENCE SUMMARY: Azure/AWS DevOps Professional with 8 years of experience in the IT industry as a SRE/Cloud/DevOps Engineer with broad skills in System administration, Code migration, Configuration management, Infrastructure automation, Build/Release management, and Cloud management which include services like Pivotal Cloud Foundry, IaaS, SaaS adapting scaled agile methodologies, ensuring high availability and scaled environment. Experienced in setup and building AWS Infrastructure using resources VPC, EC2, S3, RDS, DynamoDB, IAM, EBS, Route53, SNS, SES, SQS, CloudWatch, CloudTrail, and Auto-Scaling using AWS CloudFormation Templates. Experience in dealing with Windows Azure resources, including virtual machines, virtual networks, storage accounts, load balancers, and other Azure services, using Azure Portal, Azure PowerShell, Azure CLI, or other Azure management tools. Experience in Migrating on-premises applications to Azure and configured VNETs and subnets as per the project requirement also performed PowerShell Scripting to do Patching, Imaging, and Deployments in Azure. Knowledge of Google Cloud Platform (GCP) services like Compute Engine, Cloud Load Balancing, Cloud Storage, Cloud Function, Cloud SQL, Cloud Bigtable, Stack Driver Monitoring and Cloud Deployment Manager. Experience with container systems like Docker and container orchestration like EC2 container service, Kubernetes worked with Terraform. Expertise in App Containerization technology like Docker which includes Creating Docker images, Containers, Docker Registry to store images, cloud- based Docker Hub, Docker Swarm to manage containers. Created additional Docker Slave Nodes for Jenkins using custom Docker Image and pulled them to ECR and monitored using Grafana. Experience in creating clusters using Kubernetes, Creating Pods, Replication controllers, Deployment, Labels, Health checks and ingress by writing YAML files and managing Kubernetes charts using Helm. Knowledge in using Terraform to map more complex dependencies and identify network issues and worked with terraform key features such as infrastructure as code, execution plans, resource graphs and changes automation. Integrated Jenkins using DevOps tools such as Nexus and Puppet. Implemented a complete automated build-release solution using a combination of technologies like Maven and Jenkins. Specialized IT experience in Linux/ Ubuntu/Windows/Cloud/ Splunk. Profusely worked on Version Control tool GIT, clear case to track changes made by different people in source code involving concepts like Branching, Merging and Tags. Hand-On experience on deployment tools and configuration management tools like Ansible. Expert in build control tools such as Maven and ANT. Knowledge of databases like Oracle and MySQL. Strong understanding of Project Life Cycle and Software development life cycle methodologies including waterfall and Agile. Integrated Defect tracking tool JIRA with confluence and Jenkins CI server for identify, log, track, and document issues in real-time configured Nagios to monitor EC2 Linux instances with Ansible automation. Experience in configuring Splunk and Integrated Splunk with Active directory and LDAP authentication. CERTIFICATION: Terraform Associate (HCTAO 004) - Issued by HashiCorp Cloud Engineer Certifications. Professional Cloud DevOps Engineer Certification - Issued by Google Cloud. TECHNICAL SKILLS: Cloud Technologies AWS, Azure, GCP. Configuration Management Tools Ansible, Chef, Puppet. Build/Release (CI/CD) Jenkins, Bamboo, Kubernetes, Azure, Cloud Foundry, Maven, ANT, Git, Atlassian Jira, Nexus, Docker, HashiCorp Vault, GitHub Actions, SonarQube. Programming/Scripting Languages: Python, Groovy, YAML, Shell Script, Bash, Shell, PowerShell, SQL. Version Control Tools SVN, GIT, GitOPS, GitHub, Git lab, Bitbucket. Monitoring Tools Splunk, Log Stash, Prometheus, Grafana, Datadog, CloudWatch, AppDynamics. Networking/Protocol TCP/IP, NIS, NFS, DNS, DHCP, WAN, SMTP, LAN, FTP/TFTP Operating Systems Linux (RedHat CENTOS), Unix, Ubuntu 12/13/14, Windows NT, Windows MacOS. Data, Messaging & Platforms Kafka, MongoDB, MySQL, PostgreSQL, Microservices architecture, API gateways PROFESSIONAL EXPERIENCE: Charles Schwab Corp | Dallas, Texas. Site Reliability Engineer/ DevOps April 2022 - Present Architected and operated highly available Kubernetes platforms for trading and brokerage workloads across AWS, ensuring strict uptime, latency, and compliance requirements. Implemented GitOps-based Kubernetes deployments using Argo CD, Helm to manage trading platform releases across multiple environments with improved deployment consistency and rollback control. Supported production trading platforms handling stock and ETF transactions, ensuring high availability, low latency, secure access, and reliable order processing during market hours. notifications, audit workflows, and backend automation within the banking platform. Automated end-to-end infrastructure provisioning using Terraform, CloudFormation, and Ansible, enabling consistent multi-environment deployments and reducing manual build effort. Implemented scalable CI/CD pipelines with Bamboo, Jenkins, Git, and Nexus integrating automated testing, security scans, and progressive deployment strategies such as rolling, blue-green, and canary releases. Defined and monitored SLIs, SLOs, SLAs, and error budgets for mission-critical financial platforms, significantly improving reliability, observability, and MTTR. Built enterprise observability using Grafana, Splunk, and CloudWatch with real-time dashboards, alerting policies, and incident escalation workflows. Deployed and managed trading microservices on Amazon EKS, supporting pod autoscaling, node group scaling, rolling deployments, service discovery, ingress routing, and production workload isolation. Implemented AWS IAM roles, policies, permission boundaries, and least-privilege access controls to secure trading platform workloads, CI/CD pipelines, and production support operations. Configured Application Load Balancers and Network Load Balancers to route traffic for trading APIs, order-processing services, and internal microservices with high availability and low-latency access. Managed S3 buckets for application artifacts, logs, backups, reports, and trading data files with lifecycle policies, encryption, versioning, and access control. Centralized AWS logs using CloudWatch Logs and integrated them with Splunk and Grafana for production troubleshooting, incident investigation, and trading platform observability. Automated daily pre-market AWS health checks using Python, Bash, and AWS CLI to validate EKS cluster health, EC2 instance status, load balancer target health, CloudWatch alarms, Kafka lag, and database connectivity. Supported disaster recovery planning across AWS by validating multi-AZ deployments, backup recovery, DNS failover, infrastructure rebuild automation, and application recovery runbooks. Supported microservices architecture deployed on Kubernetes with secure service-to-service communication, resiliency patterns, and scalable API-driven integrations. Automated daily pre-market validation checks using Python and Bash to verify Kubernetes pod status, Kafka consumer lag, database connectivity, certificate expiry, and critical trading service readiness. Created Bash scripts to collect production diagnostics from Kubernetes clusters, including pod logs, CPU/memory usage, restart counts, node health, and service endpoint status during trading incidents. Created automation scripts to identify abnormal spikes in trading API latency, failed orders, message queue backlog, and infrastructure resource utilization before they impacted users. Administered databases including MongoDB, MySQL, and PostgreSQL, ensuring performance tuning, backup automation, and high-availability configurations for production workloads. Managed Kafka reliability operations including broker recovery, partition rebalancing, ISR monitoring, and multi-AZ resilience to support zero-downtime event streaming. Managed and optimized Kafka based event streaming platforms, handling broker recovery, partition rebalancing, ISR monitoring, and high-availability configurations for real-time trading data pipelines. Developed Python and PowerShell automation for patching, provisioning, monitoring integrations, and incident remediation across Linux and cloud environments. Strengthened cloud security posture through IAM/RBAC governance, secrets management, vulnerability scanning, and hardened containerized workloads. Supported REST API platforms handling high-volume business transactions, proactively identifying performance bottlenecks, application failures, and integration issues affecting customer workflows. Automated operational processes using Shell, Python, YAML, and CI/CD pipelines to improve system stability, reduce manual effort, and accelerate incident resolution. Managed firewall requests, network connectivity validation, API communication troubleshooting, DNS resolution issues, and secure service-to-service communication across environments. Participated in on-call rotations, handling Sev-1 and Sev-2 incidents, driving bridge calls, stakeholder communication, escalation management, and service restoration activities. Led L2/L3 incident response, root-cause analysis, disaster-recovery drills, and blameless postmortems to continuously improve production resilience and operational readiness. Collaborated with trading technology, infrastructure, and compliance teams to track execution latency, optimize performance, and ensure regulatory-aligned service reliability. Implemented least-privileged IAM and RBAC policies across AWS and Kubernetes to secure trading platform workloads and meet financial compliance standards. Integrated container image and dependency vulnerability scanning (Trivy, Snyk, SonarQube) into CI/CD pipelines to prevent insecure builds from reaching production. Centralized security logging and anomaly detection using Splunk, CloudWatch, and Grafana to support incident investigation and threat monitoring. Provided 24/7 production support for client-facing trading platforms, handling incident response, root cause analysis, and blameless postmortems to improve resilience. Environments: AWS, Docker, Jira, Bitbucket, Splunk, Grafana, Jenkins, VPC, EC2, S3, RDS, DynamoDB, IAM, EBS, Route53, SNS, SES, SQS, Redshift, Ansible, Datadog, CloudWatch, Autoscaling, CloudFormation, Terraform, Kubernetes, Python, Git, PowerShell, Bamboo, Istio, Gitops. Cyient Ltd | Hyderabad, India. Cloud DevOps Engineer Nov 2018- Aug 2021 Supported a Medical Device Support and Healthcare Operations Platform used by healthcare operations teams to manage device service requests, support tickets, device status updates, and operational workflows. Worked on cloud migration and DevOps support for healthcare application modules related to medical device servicing, customer support operations, case tracking, and service workflow automation. Supported application deployments for multiple healthcare platform components, including web portals, backend APIs, reporting services, batch jobs, and microservices hosted on Azure and AKS. Managed CI/CD releases for application services that helped support teams track device maintenance requests, service history, issue resolution status, and operational reporting. Deployed containerized microservices on AKS to improve scalability and availability of healthcare application components used by internal operations and support teams. Supported application environments across development, QA, staging, and production, ensuring consistent configuration, deployment stability, and controlled release promotion. Worked with application teams to troubleshoot production and lower-environment issues related to API failures, pod restarts, service connectivity, deployment failures, and performance bottlenecks. Automated application deployment workflows using Azure DevOps and Jenkins, reducing manual deployment steps and improving release reliability for healthcare platform updates. Implemented health checks, readiness probes, and liveness probes for healthcare microservices to improve application availability and faster failure detection in AKS. Integrated application logs and metrics with Prometheus, Datadog, New Relic, and Azure Monitor to monitor service availability, API response time, error rates, and infrastructure health. Supported secure application configuration using Azure Key Vault for secrets, certificates, database connection strings, and environment-specific configuration values. Worked on role-based access and secure environment setup to protect healthcare application workloads, internal support data, and operational workflows. Created reusable deployment templates, pipeline scripts, and automation playbooks to standardize application deployments across multiple environments. Collaborated with developers, QA teams, infrastructure teams, and release managers to support application release planning, deployment validation, rollback readiness, and post-release monitoring. Improved application support efficiency by automating routine operational tasks such as service restarts, log rotation, health checks, deployment validation, and alert-based troubleshooting. Supported release management for healthcare application enhancements, bug fixes, configuration changes, and security updates with minimal impact to business users. Environments: Docker, Bamboo, Maven, Jenkins, Azure, AKS, Ansible, Jira, Python, GitHub, PowerShell, Terraform, Nexus, SVN, Bitbucket, Confluence. Code Lab International Services Pvt. Ltd | Hyderabad, India. DevOps Engineer Oct 2017- Jul 2018 Designed, deployed, and maintained GKE (Google Kubernetes Engine) clusters using Infrastructure as Code (Terraform modules), enabling consistent, scalable, and secure Kubernetes environments across dev, test, and production. Built end-to-end CI/CD pipelines using Cloud Build / GitHub Actions / Jenkins, integrating automated testing, security scans, artifact storage, and progressive deployment strategies (rolling, blue-green, canary). Implemented Datadog APM, Infrastructure Monitoring, and Log Pipelines to collect metrics and distribute traces from microservices running on GKE, improving observability and accelerating root cause analysis. Created Datadog Dashboards, SLO/SLI visualizations, monitors, and alerting rules, integrating with Slack/PagerDuty to proactively detect incidents and reduce MTTR. Configured Datadog Cluster Agent and Autodiscover for dynamic service metric collection from Kubernetes workloads, ensuring real-time performance visibility without manual instrumentation. Set up Datadog Synthetic Monitoring and Real User Monitoring (RUM) to track application latency, availability, and user experience impact across critical services. Automated GCP infrastructure provisioning using Terraform, including VPC networking, Cloud NAT, subnets, firewall rules, IAM roles, Cloud SQL, GKE node pools, and load balancers. Enabled secure workload-to-resource access by configuring Workload Identity Federation on GKE, eliminating service account key exposure and enforcing least-privilege principles. Integrated application and system logs into Datadog Log Management with retention routing, index controls, and log pipelines, reducing storage costs and improving search efficiency. Performed incident response and RCA, implemented reliability fixes, and continuously improved service performance and operational readiness aligned with SRE best practices. Environments: Ansible, Jenkins, GCP, Python, Datadog, Kubernetes, Puppet, Docker, GitHub, Terraform, PowerShell. EDUCATION: Master of Science in Computer Information Systems Mar 2022 to Dec 2023 Southern Arkansas University, USA. Bachelor of Technology in Computer Science Aug 2014 to April 2018 Jawaharlal Nehru Technological University, India Keywords: continuous integration continuous deployment quality analyst sthree information technology Arizona