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Uday Naik - Senior DevOps Engineer | AWS | Kubernetes (EKS & On-Prem) | Terraform | GitHub Actions | CI/CD Platform Engineering | DevSecOps | Observability

[email protected]

Location: Alpharetta, Georgia, USA

Relocation: Yes

Visa: h1b

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UDAY BUKKE [email protected] (734) 821-5129 Senior DevOps Engineer | AWS | Kubernetes (EKS & On-Prem) | Terraform | GitHub Actions | CI/CD Platform Engineering | DevSecOps | Observability PROFESSIONAL SUMMARY Senior DevOps / Site Reliability Engineer with 8+ years of experience building and operating enterprise-scale CI/CD platforms, cloud infrastructure, and Kubernetes environments across AWS and hybrid cloud platforms. Expertise in AWS, Terraform, GitHub Enterprise, GitHub Actions, Docker, Kubernetes (EKS & On-Prem), Infrastructure as Code, DevSecOps, release automation, and platform engineering. Proven track record of reducing deployment times by 60%, improving MTTR by 35%, achieving 99.9% platform availability, and increasing deployment reliability through GitHub Actions automation, progressive delivery strategies, observability engineering, and infrastructure standardization. Hands-on experience implementing Blue-Green Deployments, Canary Releases, automated rollback strategies, artifact promotion pipelines, secrets management, IAM governance, security scanning, SLO-driven monitoring, and production grade observability using Prometheus, Grafana, Splunk, ELK, CloudWatch, and OpenTelemetry. Strong background collaborating with Architects, Developers, QA, Security, and Infrastructure teams to build highly available, scalable, and secure cloud-native platforms. TECHNICAL SKILLS Cloud Platforms: AWS, Azure, GCP Build & Version Control: Maven, Gradle, NPM, GitHub, Bitbucket, GitLab, SVN AWS Services: EC2, S3, Lambda, IAM, VPC, CloudWatch, Route 53, API Gateway, EventBridge, SNS, SQS, RDS, ACM, ECS, EKS, CloudFront, Elastic Beanstalk Azure Services: Azure DevOps, Azure Key Vault, Azure VMs, Azure Storage, Azure Monitor, Log Analytics, Microsoft Entra ID, AKS, ARM Templates, Bicep GCP Services: Compute Engine, GKE, Cloud Storage, Cloud IAM, VPC, Cloud Load Balancing, Cloud DNS, Cloud Functions, Pub/Sub, BigQuery Containers & Kubernetes: Kubernetes, EKS, AKS, GKE, OpenShift, Docker, Helm Infrastructure as Code: Terraform, CloudFormation, ARM Templates, Bicep, Ansible, Chef CI/CD & DevOps: GitHub Actions, Jenkins, Azure DevOps, Bamboo, Argo CD, GitLab CI, Bitbucket, AWS CodePipeline, AWS CodeDeploy Observability: Prometheus, Grafana, Dynatrace, Datadog, CloudWatch, Splunk, Nagios, AppDynamics, Elasticsearch, OpenSearch, Logstash, New Relic Security & Governance: IAM, RBAC, Microsoft Entra ID, Azure Key Vault, Okta, OAuth2, OIDC, SAML, IAM Policies, IAM Roles, Security Groups, Compliance Enforcement, Control Tower, Security Hub, CloudTrail, AWS Config, Inspector, GuardDuty ETL & Analytics: AWS Glue, Athena, QuickSight, Databricks, BigQuery Databases & Caching: PostgreSQL, MySQL, Oracle, MongoDB, Redis Operating Systems: Linux, Unix, Red Hat, CentOS, Windows Server Scripting & Languages: Python, Bash, PowerShell Agile Methodologies & Tools: Scrum, Kanban, Jira, Confluence, ServiceNow PROFESSIONAL EXPERIENCE Senior Cloud DevOps Engineer / Site Reliability Engineer Nike - Atlanta, GA March 2023 - Present Built enterprise CI/CD platforms using GitHub Enterprise and GitHub Actions with reusable workflows, environment approvals, deployment automation, and self-hosted runners supporting hundreds of application deployments. Implemented progressive delivery strategies including Blue-Green Deployments, Canary Releases, Feature Flags, deployment health validation, and automated rollback mechanisms to reduce production deployment risk. Designed artifact versioning, promotion workflows, release traceability, and immutable deployment standards using GitHub Actions, Artifactory, and Kubernetes deployment pipelines. Implemented centralized secrets management using AWS Secrets Manager, HashiCorp Vault, Kubernetes Secrets, and IAM controls to improve security posture and credential governance. Built OpenTelemetry-based observability pipelines integrated with Prometheus, Grafana, Splunk, ELK, CloudWatch, and PagerDuty for end-to-end application and infrastructure monitoring. Established SLO-driven monitoring, deployment health validation, and incident response automation, improving service reliability and reducing operational noise. Designed and supported production cloud platforms across AWS, Azure, and GCP, improving reliability, scalability, governance, and operational visibility for business-critical applications. Built and maintained CI/CD pipelines using Jenkins, GitHub Actions, Azure DevOps, Bamboo, and Argo CD to automate build, test, deployment, validation, and rollback workflows. Automated infrastructure provisioning using Terraform, CloudFormation, ARM Templates, and Bicep, reducing manual effort and improving environment consistency. Implemented cloud governance automation for tagging, cost control, access management, and policy enforcement, contributing to 25% cloud cost optimization. Managed Kubernetes deployments across EKS, AKS, GKE, and OpenShift using Helm, Argo CD, HPA, ingress controllers, and rollback strategies. Built reusable Helm charts and deployment templates, helping engineering teams onboard microservices faster and maintain consistent configurations. Supported 24/7 production operations, incident response, RCA, service restoration, and preventive remediation. Built observability dashboards using CloudWatch, Azure Monitor, GCP Cloud Monitoring, Dynatrace, Prometheus, and Grafana to track service health, SLI/SLOs, and MTTR. Improved incident response by configuring intelligent alerting, anomaly detection, service dependency mapping, and alert correlation, reducing MTTR by 30%. Applied SRE practices including SLIs, SLOs, SLAs, error budgets, capacity planning, and post-incident reviews. Integrated SAST and DAST scanning into CI/CD pipelines, reducing application vulnerabilities by 40% during early SDLC stages. Developed reusable Terraform modules, CI/CD templates, and deployment standards, enabling developer self-service and accelerating application onboarding across engineering teams. Collaborated with Architecture, Security, and Application Engineering teams to establish cloud governance, deployment standards, and platform engineering best practices. Implemented GitOps workflows using Argo CD and Kubernetes, improving deployment traceability, auditability, and release consistency across production environments. Strengthened Kubernetes security through RBAC, Network Policies, Secrets Management, and image scanning controls, improving compliance and reducing security risk. Implemented secure access controls using AWS IAM, Microsoft Entra ID, GCP Cloud IAM, RBAC, Okta, and Azure Key Vault to enforce least-privilege access and secrets management. Built operational reporting using AWS Glue, Athena, QuickSight, BigQuery, Power BI, and Tableau to improve platform health, reliability, and business visibility. Used Python automation and AI-assisted tools such as GitHub Copilot, Cursor, Claude, and MCP servers to improve pipeline development speed and reduce manual errors. DevOps Engineer Elevance Health - Atlanta, GA October 2021 - February 2023 Implemented Blue-Green and Canary deployment strategies using Kubernetes, Argo CD, GitHub Actions, and automated rollback controls to support zero-downtime releases. Automated database schema versioning and release processes using Liquibase for Oracle and SQL Server environments, improving deployment consistency and rollback capabilities. Developed production data refresh pipelines with automated masking and anonymization of sensitive PII data for lower environments, ensuring compliance and secure testing practices. Integrated PagerDuty with observability platforms to automate incident routing, escalation policies, and deployment health monitoring. Built and managed CI/CD pipelines using Bitbucket, Bamboo, GitHub Actions, Azure DevOps, GitLab, Jenkins, and Argo CD for Kubernetes, OpenShift, EKS, AKS, and GKE-based applications. Automated cloud infrastructure provisioning using Terraform, CloudFormation, and ARM Templates, reducing deployment time by 60% and improving configuration consistency across AWS, Azure, and GCP environments. Supported hybrid and multi-cloud deployments across AWS, Microsoft Azure, and Google Cloud Platform (GCP), improving deployment reliability, release governance, and operational stability. Integrated Snyk and SonarQube into CI/CD pipelines, maintaining 95% code quality standards and improving early-stage vulnerability detection. Designed multi-stage deployment workflows with canary analysis, automated rollback, environment promotion, and release validation to reduce production deployment risk. Implemented monitoring and observability using Prometheus, Grafana, Splunk, Datadog, CloudWatch, Azure Monitor, and GCP Operations Suite, achieving 99.9% uptime and reducing MTTR by 35%. Built centralized observability dashboards for application health, API performance, and infrastructure monitoring. Integrated DevSecOps controls including SAST, DAST, Snyk, SonarQube, and policy validation into CI/CD pipelines, improving release security and reducing remediation effort. Implemented enterprise observability using Dynatrace across cloud and on-prem infrastructure, including APIs, middleware, and business-critical application platforms, improving visibility, proactive monitoring, and incident response efficiency. Defined and monitored SLIs, SLOs, and operational KPIs for critical services, improving reliability and proactive incident detection. Supported monitoring and reliability engineering for WMS-integrated applications and hybrid on-prem/cloud environments by designing Dynatrace dashboards, alerting strategies, and service health indicators to reduce downtime and improve operational stability. Standardized CI/CD onboarding processes and reusable deployment frameworks, reducing engineering effort and improving release consistency across teams. Improved incident detection and root-cause analysis using logs, metrics, traces, and proactive alerting. Supported reliability engineering through monitoring standardization, service health tracking, and operational reporting. Supported AWS IAM, Azure Active Directory / Microsoft Entra ID, GCP Cloud IAM, RBAC, SSO, MFA, OAuth, OIDC, Okta, and secrets management across cloud environments. Built automation scripts using Python, Bash, and PowerShell for self-healing infrastructure, DNS troubleshooting, TCP/IP checks, operational remediation, and error budget tracking. Managed production deployments, change approvals, incident response, RCA, rollback procedures, and platform stability across cloud and containerized environments. Integrated JFrog Artifactory with CI/CD pipelines to automate artifact publishing, versioning, promotion, and release traceability. Implemented security and compliance controls into deployment pipelines to enforce policy checks, vulnerability scanning, and secure release gates before production deployments. Managed Azure Key Vault, RBAC, and cloud secrets management practices to protect credentials and enforce secure access across application environments. Cloud Engineer IPsoft Global Services - Bangalore, India January 2018 - February 2020 Automated CI/CD deployments using Jenkins, reducing release cycles from weeks to days and increasing deployment frequency by 300%. Created Ansible playbooks for configuration management across 100+ servers, improving consistency, compliance, and operational reliability. Developed self-healing automation workflows using Python, PowerShell, and Bash to reduce operational overhead and improve service reliability Configured AWS CloudWatch, Azure Monitor, and GCP Cloud Monitoring alarms to monitor CPU, memory, disk usage, service health, and system availability across 50+ cloud instances. Automated system administration and operational tasks using PowerShell and Bash, including firewall rules, load balancer configuration, network access controls, and system updates. Implemented OS hardening for Windows and Linux systems, reducing vulnerability exposure across cloud and on-premises environments. Engineered robust OS hardening protocols for cloud and on-premises systems, ensuring compliance and mitigating over 50+ identified security risks Developed Python automation for vulnerability scanning, access control reporting, compliance checks, and operational workflows. Implemented centralized monitoring and alerting standards across cloud environments, improving visibility into infrastructure performance and service health. Supported cloud infrastructure operations across compute, storage, networking, monitoring, and access control services to improve platform stability and operational efficiency. Build and Release Engineer Harman International - Bangalore, India June 2016 - December 2017 Built automated CI/CD pipelines using AWS CodePipeline, AWS CodeDeploy, Jenkins, Git, Maven, and Tomcat for Java based applications. Managed AWS infrastructure including EC2, S3, ELB, Auto Scaling, and Security Groups to support high availability deployments. Automated application release processes and deployment validation workflows, improving release quality and reducing deployment-related incidents. Automated build, test, deployment, and release workflows across multiple environments, improving release consistency and reducing manual deployment effort. Supported AWS infrastructure operations including compute, networking, load balancing, and monitoring services to maintain application availability and performance. Configured Jenkins, Git, and Maven integrations to automate application builds, package management, and deployments to Tomcat servers. Standardized release management practices, improving deployment reliability, release traceability, and release cycle time. Supported build and release operations for Java applications by coordinating source control, artifact generation, environment deployments, and production release readiness. EDUCATION Bachelor's Degree in Mohan Babu University CERTIFICATIONS March 2012 May 2016 AWS Certified Cloud Practitioner AWS Certified AI Practitioner Google Cloud Generative AI Engineer Google Cloud DevOps Engineer Keywords: continuous integration continuous deployment quality analyst artificial intelligence business intelligence sthree Georgia Idaho