DevOps Engineer - AWS/Azure/GCP CI-CD Automation

Deepthi DevOps Engineer

+1-602-***-**** *******************@*****.***

SUMMARY

PROFESSIONAL SUMMARY

5+ years of experience as a DevOps Engineer specializing in Build & Release, Deployment, Configuration Management, Cloud Infrastructure, CI/CD, and DevOps automation across AWS, Azure, and GCP. BitBucket, SVN); Java; Node / Node JS, Python, Go.

Strong hands-on experience with AWS, Terraform, Kubernetes, Docker, Jenkins, GitLab, GitHub, and Ansible, including cloud infrastructure design, Infrastructure as Code, EKS management, and application deployment automation.

Experienced in designing and maintaining CI/CD pipelines using Jenkins, GitLab CI/CD, and GitHub workflows for source control, builds, testing, artifact management, Docker image creation, deployments, releases, and rollbacks.

Strong experience with Python automation and REST APIs for infrastructure automation, AWS operations, deployment validation, health checks, monitoring, log processing, and operational tasks.

Extensive experience with Elastic Stack :-Elasticsearch, Logstash, Kibana, and Beats for centralized logging, log processing, indexing, dashboards, troubleshooting, and operational analytics.

Hands-on experience with Prometheus, Grafana, Datadog, Splunk, and CloudWatch for monitoring, alerting, metrics, and application/infrastructure visibility.

Strong background in Linux, Kubernetes, cloud, and distributed applications, including production support, troubleshooting, root-cause analysis, and reliability improvement.

Experienced with key AWS services including EC2, EKS, S3, IAM, VPC, Lambda, API Gateway, CloudWatch, RDS, DynamoDB, and DocumentDB, LLM’s.

Working knowledge of Kafka, Redis, and servic e mesh technologies supporting distributed and cloud-native applications and automated testing,

Proven ability to build secure, scalable, highly available, and automated DevOps environments while collaborating effectively with development, operations, infrastructure, security, and application teams. continuous integration and deployment.

hands-on UI development experience.

Strong expertise building modern front-end applications using React, Redux, JavaScript, and related web technologies.

Experience developing enterprise applications using Java and/or Node.js.

Strong understanding of software engineering principles, object-oriented design, and distributed systems.

TECHNICAL SKILLS

Source Code Management

GIT

Configuration Management

Ansible

Build/Release Management

Maven.

Change/Defect Management

JIRA

Scripts

Python, Unix shell scripting,

Web/Application Servers

Tomcat, Web logic

Languages

C, C++, Java, XML, HTML,

Operating Systems

2003 server, UNIX (Solaris), Win XP/NT/2000/9x, Linux and MS-DOS

Development Tools

Eclipse, Various IDEs

Databases

Oracle, MySQL,

Cloud computing Platform

AWS, Azure, GCP

AWS Services

Ec2, S3, Route 53, VPC, RDS, IAM, Cloud watch, Dyanmo DB, Document DB

CI/CD

GitLab, GitHub actions, Jenkins

GitOps tools

Argo CD

Container Orchestration

Kubernetes, AWS ECS, Open shift, AKS

Serverless

API gateway, Lambdas, Beanstalk

Messaging

Kafka, SNS, SQS

Networking

VPC, Subnets, Route Tables, NAT gateways, Transit gateways, Direct Connect

Monitoring & Observability

Grafana, Preometheus

IAAC

Terraform, CloudFormation

Observability & Monitoring

Elasticsearch, Kibana, Elastic Stack (ELK), Grafana, Splunk, Datadog, Prometheus, Alertmanager, Loki, CloudWatch, Dynatrace, AppDynamics

Reporting & Analytics

Executive Dashboards, Engineering Dashboards, SDLC Reporting, Engineering Metrics, KPI Development, Compliance Reporting, Control Adoption Reporting, Trend Analysis, Operational Reporting, Scorecards

Data Integration

REST API Integration, ETL Pipelines, Data Modeling, Data Analysis, Data Validation, Data Reconciliation, Data Lineage, JSON Processing

Sr. DevOps Engineer Hyatt

04/2025-Present USA Responsibilities:

Designed and managed AWS cloud infrastructure using Terraform, including provisioning and managing production-grade Amazon EKS clusters and AWS resources.

Built reusable Terraform modules and implemented Infrastructure as Code (IaC) for consistent, secure, and repeatable deployments.

Managed Amazon EKS/Kubernetes environments for microservices, including deployments, services, ReplicaSets, DaemonSets, networking, scaling, and troubleshooting.

Implemented Karpenter for Kubernetes autoscaling, improving cluster resource utilization and reducing infrastructure costs.

Implemented GitOps using Argo CD and Helm for automated Kubernetes application deployments and configuration management.

Built and maintained CI/CD pipelines using GitLab CI, automating build, testing, deployment, and release processes.

Implemented Canary and Blue/Green deployment strategies to reduce production deployment risks.

Hands-on experience applying LLMs or ML models in real-world / production use cases

Built or implemented AI-driven workflows, automation, or decisioning solutions

Experience integrating AI into APIs, applications, or enterprise systems

Prompt engineering, RAG architectures, or LLM orchestration frameworks

Designed and managed Kubernetes service mesh solutions using Istio and Linkerd for traffic management, security, observability, and service-to-service communication.

Implemented Kubernetes security using RBAC, IAM, Secrets Manager, and network policies.

Developed Python automation for infrastructure management, deployment automation, health checks, and operational tasks.

Implemented AWS Lambda and API Gateway solutions for scalable and event-driven application integrations.

Experience designing and building RESTful APIs, microservices, and event-driven architectures.

Experience working in Agile development environments.

Experience with NoSQL databases and distributed technologies such as Redis, Kafka, Cassandra, Couchbase, or equivalent platforms.

Managed AWS services including EC2, VPC, S3, IAM, EKS, Route 53, Lambda, API Gateway, RDS, DynamoDB, DocumentDB, and CloudWatch and OpenShift,

Managed RDS, DocumentDB, and MongoDB, including monitoring, performance optimization, backup, recovery, and high availability.

Implemented DynamoDB Streams for real-time data processing and event-driven architectures.

Designed and implemented observability solutions using Prometheus, Grafana, Datadog, Splunk, and CloudWatch for infrastructure, Kubernetes, and application monitoring.

Created Grafana, Datadog, and Splunk dashboards for application health, Kubernetes metrics, APM, system performance, alerts, and operational visibility.

Configured Prometheus and Alert manager for Kubernetes monitoring and proactive alerts covering CPU, memory, pod failures, restarts, and application health.

Implemented centralized Kubernetes logging using Fluentd and Splunk, including log collection, forwarding, dashboards, and application troubleshooting.

Configured Datadog agents, APM, dashboards, monitors, and alerts, and integrated alerts with xMatters for incident management.

Supported 24/7 production applications, performing troubleshooting, incident response, log analysis, root cause analysis, and service recovery and containerization

Lambda, API Gateway, Step Functions, S3

Real-time and event-driven systems

Data integration and distributed system design

Managed Route 53 DNS records and routing policies, including Simple, Weighted, Failover, and Latency-based routing.

Optimized AWS environments for security, scalability, reliability, and cost efficiency, while collaborating with cross-functional teams and technical leadership.

Environment:EC2, S3, IAM, VPC, Cloud Watch, Cloud Formation, terraform, SNS, SQS, EBS, Route 53, ELB, ALB, Ansible, Shell scripting, Docker, Maven, Ant, Jenkins, Gitlab-ci, helm node.js, AppDynamics,Instana, Splunk, zuul router, eureka discovery services, Kubernetes, LinkerD, calico, Amazon Linux, CentOS Linux, Rancher, EKS, Karpenter, Datadog, Prometheus, Grafana, kafka, Python, RDS, Azure.

DevOps Engineer

IDC technologies Pvt ltd 03/2022-04/2024 Bangalore Responsibilities:

Implement and maintain highly automated build and deployment process.

Created Automated build process for Rational team concert using python & selenium scripts.

Integrated the automated build scripts on Jenkins for driving daily and nightly builds.

Installation of UCD server and agents on required boxes for automating deployment process.

Automated the deployment process using UCD (urban code deploy) on various environments i.e Dev, IST, QA & Perf.

Created component process and application process templates making them reusable for other applications.

Created ant targets for publishing the artifacts to code station of UCD to required components for deployment.

Responsible for working in complete automation process with various team like middleware Web sphere team to understand the manual deployment process to drive it through automation.

Proven experience with Splunk indexers, forwarders, search heads, clustering, and performance optimization.

Hands-on experience with Grafana dashboard development and data sources such as Prometheus, Loki, Elasticsearch, and cloud-native monitoring tools.

Strong Dynatrace experience, including OneAgent deployment, service monitoring, custom metrics, and AI-driven root cause analysis.

Created components on UCD which help publish and copy artifacts to multiple servers and made it a generic reusable component for any application. constructed and expanded a production OpenStack private cloud with a HA control plane and storage backed by Ceph; used Terraform/Ansible and GitOps to automate day-2 operations.

Automated Kafka SSL certificate generation, rotation, and subscription updates in pre production environments, reducing manual configuration time and ensuring secure, compliant event streams.

Implemented Blue/Green deployment strategies across multiple regions, ensuring application security, reliability, and high availability for mission-critical systems

Configured Rancher to authenticate with private Artifactory Docker registry, allowing secure container image pulls for local cluster provisioning; improved image traceability and compliance within isolated Kubernetes PoC environments.

Worked with serverless compute using Cloud Functions, implementing HTTP triggers for event-driven applications. Integrated Cloud Monitoring and Cloud Logging for observability, set up performance and load testing via Cloud Build pipelines, and created shared dashboards in Cloud Monitoring to visualize key metrics and logs

Validation & Quality Enablement

Embedded automated test execution per environment

Manual validation support with controlled access and observability

Enforced quality gates before promotion

Environment: Jenkins, Selenium, python, UCD, ant

Build/ Release Engineer Leonia Holistic Destination 07/2019 - 02/2022 Hyderabad Responsibilities:

Implement and maintain highly automated build and deployment process.

Lead the application teams in adopting the best practice of source code management and traceability.

Assist with supporting source code management tools and automation builds by Maven.

Ensure proper management of the product release life cycle.

Develop deployment plans and schedules for the Change Review meeting.

Responsible for maintaining and managing the software configuration on various environments.

Responsible for maintaining the integrity between development, test & production environments.

Maintained Dev/QC/PROD application environments to ensure all business rules, print logic and compliance issues are well-managed and documented prior to pushing to production.

Work with development team to resolve code and integration issues while maintaining the integrity for various environments.

Created the Deployment notes along with the development team and released the deployment instructions to Application Support

Maintained Defect Fix Deployments and documented the deployed files in the appropriate Environment Migration log.

Automated the build & deploy process using JENKINS continuous integration tool.

Work with other dependency teams to resolve environmental & configuration issues.

Maintain and keep track for all the configuration files in Dev/IST/QA region.

Responsible for preparing configurations & code revisions for PROD readiness.

Responsible for leading the weekly build and deployment windows to ensure smooth deployment process without any issues to all environments.

Responsible for sanity tests after the code drop is done to Dev/IST/QA region and track defects in every weeks QA drop .

Responsible for automated hotfix deployments using jenkins job in Dev/IST/QA region.

Automated the build & deploy process using JENKINS continuous integration tool.

Environment: Subversion, Maven, ANT, Jenkins, W2k/NT, Windows 2003, UNIX, SUN Solaris, HP UX, Agile,Mercury Quality Center, Apache Tomcat, Java, Weblogic, Oracle.

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