Anil Reddy
Summary
Sr.DevOps/SRE Engineer with 10+ years of experience in designing, implementing, and managing cloud-based infrastructure and CI/CD pipelines. Skilled in leveraging AWS services, Kubernetes orchestration, and GitLab/GitHub workflows to deliver scalable, reliable, and efficient solutions. Proficient in automating deployment processes with Jenkins and GitLab CI/CD, and adept at scripting in Python to optimize system performance. Demonstrated expertise in building and supporting development, testing, and production environments, ensuring seamless integration of operational and development workflows.
Overview
10
10
years of professional experience
Work History
Sr. Devops/SRE Engineer
Southwest Airlines
Dallas
10.2021 - Current
- Provided 24/7 production support, ensuring high availability and rapid incident resolution through on-call rotations, proactive monitoring, and automation of routine tasks to maintain SLAs and minimize downtime.
- Supported change management processes, validating production system availability after deployments and infrastructure change.
- Tracked and delivered monthly and quarterly metrics on incident response times, system uptime, and SLA compliance to stakeholders.
- Proactively monitor SLI metrics such as latency, availability, and error rates to resolve issues in mission-critical applications ensuring SLA are not breached an SLOs are consistently met uptime is maintained, and user satisfaction is improved.
- Collaborate with team to find RCA and fix problems permanently.
- Supported CloudFront CDN configurations, DDoS protection, TLS, access controls, and bot management.
- Experience with ServiceNow incident management tool for critical production outages, coordinating cross-functional teams to restore services within strict SLA target to recover service back to normal.
- Created Amazon Bedrock using Genai Anthropic's Claude LLM for internal chatbot.
- Knowledge of LLM workflows, automating data retrieval, prompt engineering, and response validation for applications.
- Experience and knowledge on AWS Services using EC2, S3, RDS, IAM, Autoscaling, Route53, VPC, and Elastic Load Balancers, Bedrock Genai to optimizing for high availability, Security and performance.
- Designed multi-tier application architectures within VPCs, utilizing security groups to segment applications, databases, and web layers for improved security and compliance.
- Automated AWS infrastructure provisioning using Terraform infrastructure-as-code (IAC).
- Engineered CDN in AWS CloudFront to handle latency, availability, Security.
- Configured network routing and failover patter in CloudFront.
- Host Terraform code with Gitlab repository to automate everything using CICD.
- Implement CI/CD pipelines to automate Terraform plan and apply processes, enforcing best practices and reducing manual errors.
- Automate CloudFront CDN with terraform to manage CDN configurations, ACM Certs, Access Control of AWS service.
- Develop Ansible playbooks, roles, and modules to automate the deployment from Gitlab CICD and Jobs in Ansible automation Platform 2.
- Created Ansible Automation Platform Jobs to run manual tasks in automation flow.
- Integrated Ansible with CI/CD pipelines and other DevOps tools to create seamless automation workflows.
- Integrated Argo CD with CI/CD tools like Jenkins and Terraform to automate infrastructure provisioning and application rollout, reducing manual intervention and deployment errors.
- Created Python scripts to automate infrastructure tasks, streamline workflows, and enhance system observability.
- Refactored legacy Jenkins jobs into modular GitLab CI YAML pipelines, reducing configuration complexity and duplication.
- Configured scheduled and build jobs with mulit-stage pipeline process in gitlab-ci.yml files.
- Configured parent-child pipeline and mulit-project pipelines setup on GitLab CICD.
- Develop CICD pipeline JMeter performance automation test For application testing.
- Managed and scaled Argo CD applications for multi-environment Kubernetes infrastructure, enabling automated synchronization, real-time status monitoring, and rollback capabilities to improve deployment reliability.
- Managed containerized applications on EKS including deployment, scaling, and monitoring of microservices using Helm charts and YAML manifests.
- Supported migration of on-premises workloads to AWS, ensuring minimal downtime and seamless transitions.
- Optimized EKS resource utilization and cost by implementing cluster autoscaling and right-sizing workloads, resulting in a reduction in AWS spendings.
- Configured Istio service mesh for Kubernetes PODs enabling secure, zero-trust communication, automated traffic management, and real-time observability, reducing cross-service issues and improving incident resolution speed.
- Use Enovy proxy to handle pod to pod Secure communication, Traffic management purpose.
- Maintained and secured Docker images implemented vulnerability scanning, and managed private registries for compliance and security.
- Configured Kubernetes Horizontal Pod Autoscaler (HPA), Vertical Pod Autoscaler (VPA), and Cluster Autoscaler to automate workload scaling, optimize resource utilization, and reduce cloud costs and resource usage while maintaining application stability and performance.
- Implemented rollback and promotion strategies Blue/green and canary deployments for smooth promotion of successful releases of multiple applications.
- Experience setting up monitoring and alerting solutions using AWS CloudWatch and Prometheus, Grafana to improve system reliability and incident response times.
- Developed advanced Splunk dashboards, reports, and alerts to monitor key performance metrics and enable data-driven decision-making.
- Experience with Custom Dashboard creation in AppDynamics.
- Kibana provides intuitive dashboards and visualizations to explore monitoring to track key metrics of system resource usage.
- Collaborated cross-functional to integrate ELK monitoring with platforms team to enhancing scalability and operational efficiency.
- Implemented automated alerting mechanisms to notify stakeholders of critical issues, reducing reaction times.
- Configured and managed Splunk environments including indexers, search heads, and forwarders for high availability and scalability.
- Collaborated with cross-functional teams to troubleshoot deployment issues and deliver projects on schedule.
- Documented architecture designs, pipeline configurations, and best practices for team reference and knowledge sharing.
- Environment: AWS, Kubernetes, Docker, WebLogic, Jenkins, GitLab, ArogCD, GitHub, AppDynamics, Loki, Grafana, Splunk, Linux, windows.
Sr.Devops/SRE Engineer
Verizon
Dallas
05.2019 - 09.2021
- Support 24/7 on-call support in production environments.
- Documented recurring production issues and their solutions, enabling knowledge sharing and faster resolution of future incidents.
- Experience with Service now Incident management, change management to Support Production outages and Change actives.
- Collaborated with development and operations teams to drive root cause analysis (RCA) and implement long-term fixes, reducing repeat incidents and improving overall system stability.
- Setting up AWS infrastructure using EC2, S3, RDS, Lambda, and Elastic Load Balancers to make sure everything runs smoothly.
- Perform quarterly rehydration of AWS EC2 instances using the latest AMI to ensure they are up to date with the latest security patches and free from known vulnerabilities.
- Configured and maintained EC2 Auto Scaling groups across multiple Availability Zones, integrating with Elastic Load Balancers and implementing health checks for resilient, self-healing infrastructure.
- Build CI/CD pipelines using Jenkins using Groovy scripting to automate.
- I’ve engineered Jenkins pipelines to automate builds and deployments, connecting them to Gitlab for version control.
- Configured Jenkins jobs with parameters (String, Choice, File) and set up notifications for build/report status to development teams via email and Slack.
- Implemented SonarQube integration in Jenkins pipelines for automated code quality analysis and enforced quality gates.
- Automated Docker image builds and manages private registries for secure container storage and deployment.
- Experience with Kubernetes and Docker to maintain the runtime environment for the CI/CD system to build, test and deploy applications across different environments.
- Collaborated with development teams to optimize application performance and troubleshoot production issues.
- Bash and Python scripts to make life easier, like automating boring manual tasks.
- Implemented and maintained monitoring and alerting solutions using Prometheus and Grafana, enabling proactive detection of system issues and reducing mean time to resolution.
- Designed and implemented comprehensive New Relic dashboards to visualize key infrastructure and application metrics, enhancing incident detection and accelerating troubleshooting for engineering teams.
- Created custom Grafana dashboards to visualize application and infrastructure metrics collected by Prometheus, supporting data-driven operational decisions.
- Integrated Grafana alerts with email to ensure timely awareness of critical events in production environments.
- Collaborating with teams to solve deployment problems and hit deadlines.
- Documenting everything architecture, pipelines, best practices. So, the team’s always in the loop and understands easily.
- Environment: AWS, Docker, WebLogic, Apache tomcat, Jenkins, GitLab, GitHub, New Relic, Prometheus, Loki, Grafana, Linux, windows.
Devops Engineer
Bank of America
Charlotte
08.2018 - 05.2019
- Participated in on-call rotations and support for critical business applications and infrastructure, and ensuring adherence to defined SLAs for uptime and incident response.
- Experience with AWS Cloud services EC2, S3, RDS, VPC.
- Implemented AWS CloudFormation templates to provision infrastructure as code, streamlining environment setup for development and testing.
- Experienced on setting up Kubernetes clusters and deploying containerized applications using Docker.
- Integrated Jenkins with version control systems like GitHub to enable automated build triggers and continuous integration.
- Developed CI/CD pipelines with Jenkins for seamless application delivery and infrastructure updates.
- Automated build, test, and deployment processes, reducing manual intervention and deployment time.
- Automated artifact uploads to Artifactory from Jenkins, managing multiple repositories for different deployment environments.
- Automated repetitive tasks such as software installation, configuration updates, and code deployments improve consistency and reduce manual errors.
- Worked with Ansible Tower to create jobs, orchestrate and schedule deployments, and manage inventory.
- Experience with Splunk monitor to troubleshoot issues quickly and fix problems.
- Managed our own team GitHub repository including branching and merging workflows for team collaboration.
- Participated in troubleshooting AWS infrastructure issues, ensuring system stability and performance.
- Environment: AWS, Kubernetes, Docker, WebLogic, WebSphere, Jenkins, GitHub, Splunk, Linux, windows.
System Engineer
Priceline
Dallas
01.2016 - 08.2018
- Configured Jenkins CI/CD pipelines to automate code integration, testing, and deployment, reducing release cycles by optimizing build stages.
- Deploy java/J2EE applications and Python scripts to automate.
- Supported migration of on-premises workloads ensuring minimal downtime through automated cutovers and thorough validation.
- Configured basic Jenkins jobs for automated builds and deployments, integrating with GitHub for source control.
- Jenkins for hybrid CI/CD workflows, enabling faster code validation and deployment automation.
- Build a new CI/CD pipeline to deploy our application.
- Knowledge on Prometheus and Grafana to monitor application.
- Troubleshoot application by debugging and fixing issues by coordinating with teams.
- Documents facts and Troubeshoot steps to help us to guide in future issue.
- Environment: Apache tomcat, Python, Jenkins, GitHub, Linux, windows.
Education
Master of Science - computer science
Northwestern Polytechnic University
Fremont, CA01.2016
Bachelor of Technology - computer science & engineering
Jawaharlal Nehru technological university
Hyderabad01.2014
Skills
- Amazon Web Services (AWS)
- Kubernetes
- Docker
- Jenkins
- GitLab CI/CD
- GIT
- GitLab
- GitHub
- Bitbucket
- Python
- Bash
- Ruby
- Terraform
- AWS CloudFormation
- AppDynamics
- New Relic
- Grafana
- Prometheus
- ELK
- Splunk
- Loki
Timeline
Sr. Devops/SRE Engineer
Southwest Airlines
10.2021 - Current
Sr.Devops/SRE Engineer
Verizon
05.2019 - 09.2021
Devops Engineer
Bank of America
08.2018 - 05.2019
System Engineer
Priceline
01.2016 - 08.2018
Master of Science - computer science
Northwestern Polytechnic University
Bachelor of Technology - computer science & engineering
Jawaharlal Nehru technological university