Sr DevOps Engineer - Multi-Cloud CI/CD & Kubernetes

Sai Deepak

Sr. DevOps Engineer

E-Mail: *****************@*****.***

Contact: +1-502-***-****

Professional Summary:

Sr DevOps Engineer with 11+ years of experience in AWS, Azure, and GCP, with strong expertise in Node.js (Express.js), backend API development, CI/CD, and Kubernetes/Docker deployment Kubernetes/Docker deployments, infrastructure as code, and observability (Prometheus, Grafana, ELK, Datadog), CI/CD pipeline integration, and environment automation for enterprise applications. Strong background in Vault-based secrets management, Identity & Access Management (IAM/RBAC), and Unix/Linux administration, including kernel tuning, filesystems, anodes, system calls, and OS hardening.

Skilled in architecting multi-cloud networking with TCP/IP, routing, DNS, VPCs, and SDN to support hybrid environments. Proven experience in building CI/CD pipelines, integrating logging and observability platforms (ELK, Prometheus, CloudWatch, Splunk), and driving automation to reduce manual effort and improve reliability.

Adept at collaborating with cross-functional teams, implementing DevSecOps practices, and streamlining workflows using ServiceNow and Jira.

Expert in implementing CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, and AWS CodePipeline for Java, Kotlin, Scala, .NET, NodeJS, and Python applications. Integrated SonarQube, Checkmarx, Veracode, and Snyk for secure coding, quality, and vulnerability management.

Applied GitOps workflows with Argo CD, Helm, Kustomize, and supported blue-green/canary deployments, automated rollbacks, and compliance gates. Standardized Git branching, approvals, and merge policies for audit-ready development practices.

Strong experience in microservices and service-oriented architectures (SOA), modernizing legacy applications using Docker, orchestrated on AKS, EKS, ECS, and KubeVirt for VM workloads, with NGINX Ingress, Istio, and service discovery.

Built event-driven and API-first solutions with Azure Functions, Service Bus, API Management, and deployed RESTful APIs secured with OAuth2, JWT, IP filtering, and rate-limiting.

Embedded DevSecOps practices across infrastructure, pipelines, and application deployments. Managed secrets centrally with Azure Key Vault, HashiCorp Vault, and Managed Identities, enforcing RBAC, MFA, Conditional Access, and IAM best practices.

Implemented secure coding, pipeline-based secret rotation, vulnerability scans, and encryption standards, ensuring compliance with financial and healthcare regulations.

Proven expertise in supporting Cloud Business projects through full lifecycle (initiation, planning, execution, control, and closing), including High-Level and Low-Level Design (HLD/LLD) reviews, technical workshops, and project reporting.

Proven ability to design and manage secure multi-cloud architectures (AWS, Azure, GCP exposure), lead collaboration across DevSecOps, infra, and data engineering teams, and drive code-first, automation-led cloud solution

Proven ability to translate business requirements into scalable technical solutions, supporting enterprise retail, banking, healthcare, and financial services workloads. Delivered Agile software development projects, mentoring teams on CI/CD, cloud-native practices, Kubernetes orchestration, TDD, and secure backend development.

Delivered enterprise-grade observability solutions with Azure Monitor, Log Analytics, Application Insights, Prometheus, Grafana, ELK Stack, Splunk, AppDynamics, CloudWatch, and Dynatrace; designed SLA dashboards, proactive alerting, and auto-remediation runbooks via Azure Automation, Logic Apps, and ServiceNow/Jira, reducing MTTR and improving incident response.

Skilled in modern CI/CD delivery using Azure DevOps, GitHub Actions, Jenkins, and GitLab CI/CD with containerized and declarative pipelines. Leveraged AI-driven DevOps (AIOps) platforms such as Dynatrace Davis AI, Datadog AIOps, and Azure Machine Learning Ops to enable predictive monitoring, automated remediation, and intelligent capacity planning.

Worked with cross-functional teams in Agile/Scrum, mentoring engineers on Terraform, Ansible, AKS/EKS, GitOps, CI/CD, container security, and policy-as-code. Delivered workshops, reusable IaC modules, pipeline templates, and automation scripts (Python, PowerShell, Bash, Groovy) to standardize DevOps practices.

Provided 24x7 production support with automated incident recovery via IaC, improving deployment success rates.

Partnered with leadership to align DevOps strategies with business goals, ensuring scalability, security, and resilience across retail, banking, financial, and healthcare systems.

Proven leadership experience mentoring and guiding cross-functional DevOps teams (10+ engineers), driving roadmap

Category

Technologies & Expertise

Cloud Platforms

Microsoft Azure, AWS Cloud, Azure Kubernetes Service, GCP.

Azure/Aws Services

Azure Monitor, Log Analytics, Application Insights, Azure Automation Runbooks, Azure DevOps (Repos, Pipelines, Boards, Artifacts, Test Plans), Microsoft Entra ID, Azure Key Vault, Azure Functions, Service Bus, API Management, Azure Policy, App Services, App Gateway, VNets, NSGs, Private Endpoints, AWS Lambda.

CloudWatch, CloudTrail, OpenSearch, AWS Systems Manager (Runbooks/Automation), AWS CodePipeline, CodeCommit, CodeBuild, CodeDeploy, IAM (Users, Roles, Policies, SCPs), AWS Secrets Manager, AWS Lambda, Amazon SQS/SNS, API Gateway, AWS Config, Elastic Beanstalk, VPC, Security Groups, PrivateLink, Route 53, Relational database interaction via ORM frameworks, FedACH/NACHA compliance.

Kubernetes & Orchestration

Kubernetes (AKS, EKS, ECS, Rancher, KubeVirt), Docker, Helm, Helmfile, Kustomize,

Infrastructure as Code

Terraform Enterprise, HashiCorp Terraform, integration of IaC with CI/CD pipelines ARM Templates, Bicep, Ansible (Tower/Playbooks), Puppet, Chef, and PowerShell

CI/CD Tools

Azure DevOps (Pipelines, Repos, Artifacts, Test), Jenkins (declarative & containerized pipelines), GHES upgrade, GitHub Actions, GitLab CI/CD, AWS CodePipeline, Maven, Ant, Gradle, Java/Kotlin/Scala microservice

Config & Automation

Ansible Tower, Puppet, Chef, Azure Automation Runbooks, Logic Apps, Bash, PowerShell, Python automation for provisioning, patching, and compliance, automated remediation, database migration.

Containerization

Docker (image builds & runtimes), Kubernetes (AKS, EKS, ECS), container registries (Azure Container Registry, DockerHub), orchestration tools (Helm, Helmfile, Kustomize, Rancher), service mesh (Istio), and ingress controllers (NGINX Ingress), multi-language containerization.

Scripting & Programming

PowerShell, Golang, Bash, Shell, Groovy, Python, Java, .NET (C#), JavaScript, Ruby, and Perl for infrastructure automation, Kotlin /, CI/CD pipeline scripting, =

Monitoring & Logging

Azure Monitor, Log Analytics, Application Insights, Prometheus, Grafana, Dynatrace, ELK (Elasticsearch, Logstash, Kibana), Splunk, Nagios, AppDynamics, CloudWatch.

Security & Secrets

Azure Key Vault, HashiCorp Vault, Managed Identities, IAM, RBAC, Conditional Access, MFA, Encryption, PCI-DSS, SOX, HIPAA, FERPA, GDPR compliance.

Code Scanning & Compliance

SonarQube (code quality), Veracode, Checkmarx

Artifact Repositories

Azure Artifacts, Nexus Repository, GitHub Packages.

Build & Dependency Mgmt

Maven, Ant, Gradle (Java builds), NuGet (.NET packages), and Node.js package management (npm/yarn in CI/CD pipelines).

Version Control & Collaboration

GitHub Enterprise, Azure Repos, Git, SVN, Git-Flow branching, Jira, Confluence, ServiceNow, Slack.

Web Servers

Azure SQL, Cosmos DB, Oracle, SQL Server, MySQL, AWS RDS, IBM TRIRIGA,

Database

Azure SQL Database & Managed Instance, PostgreSQL,Cosmos DB (NoSQL), Oracle, SQL Server, MySQL,SnowFlake and AWS RDS (Relational Database Service).

Experience:

Client: Meta, Columbus, OH Dec 2023 – Present

Role: Sr DevOps Engineer

Project: Large-Scale Infrastructure Automation, Kubernetes Platform Engineering & Production Reliability for Meta.

Project Description:

Worked on large-scale infrastructure automation and platform engineering supporting Meta’s distributed services and internal application platforms. Designed automated CI/CD and GitOps workflows, containerized workloads on Kubernetes, and standardized infrastructure provisioning using Terraform and Ansible. Implemented observability, security controls, capacity management, and SRE practices for highly available, high-throughput production environments.

Responsibilities:

Cloud & Infrastructure Engineering: Designed, provisioned, and managed large-scale Linux and cloud infrastructure using Terraform, Kubernetes, Docker, and automated platform services for highly distributed production workloads. Automated infrastructure provisioning, configuration, scaling, and environment standardization across development, staging, and production environments with emphasis on high availability, performance, and repeatability.

CI/CD & DevOps Automation: Built and maintained enterprise CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI/CD, and automated build/release workflows. Integrated testing, artifact management, security scanning, deployment approvals, rollback controls, and release automation to improve delivery reliability.

Kubernetes & Containerization: Deployed and operated containerized services using Kubernetes, Docker, and Helm. Implemented rolling updates, autoscaling, readiness/liveness probes, resource quotas, service discovery, and resilient application releases.

Infrastructure as Code: Developed reusable Terraform modules and Ansible automation for compute, networking, access controls, platform configuration, and repeatable environment provisioning through Git-based workflows.

GitOps & Deployment Automation: Implemented GitOps deployment workflows using Argo CD, Helm, and Kustomize. Automated configuration synchronization, environment promotion, rollback, and version-controlled application delivery.

Observability & Monitoring: Implemented metrics, logging, dashboards, and alerting using Prometheus, Grafana, ELK/Elastic Stack, and OpenTelemetry-compatible observability patterns to improve service health visibility and incident detection.

Security & Compliance: Embedded DevSecOps controls using SonarQube, Snyk, Checkmarx, IAM/RBAC, secrets management, encryption, vulnerability scanning, and least-privilege access across infrastructure and delivery pipelines.

Release & Production Support: Supported high-availability production releases, investigated deployment, Kubernetes, networking, and infrastructure issues, performed root cause analysis, and implemented permanent automation-based fixes.

Automation & Scripting: Developed Python, Bash, and PowerShell automation for infrastructure operations, deployment validation, health checks, log analysis, configuration management, and production troubleshooting.

Leadership & Collaboration: Collaborated with software engineers, SREs, platform engineers, architects, and security teams to improve CI/CD, Kubernetes adoption, infrastructure automation, observability, capacity planning, and production reliability. Mentored engineers on DevOps and SRE best practices.

On-Call Reliability: Participated in on-call rotations for distributed production services, responded to incidents, performed RCA/post-mortems, and created automated runbooks and reliability improvements to reduce recurring failures and MTTR.

Environment: Kubernetes 1.28+, Docker 24+, Terraform 1.x, Ansible, GitHub Actions, Jenkins, GitLab CI/CD, Argo CD, Helm 3, Kustomize, Prometheus, Grafana, ELK, OpenTelemetry, SonarQube, Snyk, Checkmarx, Python 3, Bash, PowerShell, Git, Linux, Infrastructure as Code (IaC), GitOps, DevSecOps, SRE, Agile/SCRUM

Client: State of Arkansas Sep 2020-Dec2023

Role: Sr. DevOps Engineer

Project: Scalable Infrastructure and Automation for Scholarship Programs

Project Description:

Built and automated secure AWS infrastructure supporting State of Arkansas scholarship application, eligibility, and award-processing systems. Designed CI/CD pipelines and Infrastructure as Code for public-sector workloads using Jenkins, GitHub Actions, AWS CodePipeline, Terraform, and CloudFormation. Deployed containerized services on Amazon EKS and implemented monitoring, encryption, audit logging, disaster recovery, and cost controls to protect applicant data and maintain reliable citizen-facing services.

Responsibilities:

Cloud & Infrastructure Engineering: Architected and automated AWS infrastructure including EC2, S3, RDS, VPC, Lambda, and EKS using Terraform and CloudFormation across development, testing, and production environments.

CI/CD & DevOps Automation: Developed end-to-end CI/CD pipelines using Jenkins, GitHub Actions, and AWS CodePipeline for automated builds, testing, deployments, approvals, and rollback strategies.

Kubernetes & Containerization: Containerized legacy and modern applications using Docker and deployed workloads on Kubernetes (EKS), implementing autoscaling, rolling updates, blue/green deployments, and high availability.

Infrastructure as Code: Developed reusable Terraform modules and CloudFormation templates to automate infrastructure provisioning, configuration, and environment management.

Monitoring & Observability: Implemented centralized monitoring, logging, and alerting using AWS CloudWatch, Prometheus,and ELK Stack. Developed dashboards and alerts to proactively identify application and infrastructure issues.

Security & Compliance: Implemented AWS IAM, GuardDuty, CloudTrail, KMS encryption, security groups, and least-privilege policies to protect student and applicant data and support public-sector security and audit requirements. Supported secure access, auditability, data protection, and policy enforcement across scholarship application environments.

Automation & Scripting: Developed Python and Bash scripts for infrastructure automation, log analysis, health checks, deployment tasks, and operational support. Used Ansible for configuration management, patching, and application setup.

Linux Administration: Managed RHEL and Ubuntu environments, including system configuration, security hardening, performance tuning, patching, and automated lifecycle management.

Cloud Cost Optimization: Used AWS Cost Explorer and Trusted Advisor to identify cost-saving opportunities through Resource right-sizing, lifecycle policies, and infrastructure optimization while maintaining application performance.

Disaster Recovery & Reliability: Designed and tested disaster recovery solutions using multi-AZ and multi-region architectures, automated backups, replication, and failover mechanisms to support business continuity.

Production Support & Reliability: Participated in on-call rotations, monitored production environments, investigated incidents, performed root cause analysis, and implemented permanent fixes to improve system reliability.

Leadership & Collaboration: Collaborated with developers, QA engineers, architects, and product owners to improve delivery processes, infrastructure reliability, and operational efficiency. Mentored junior engineers on DevOps, cloud, CI/CD, and Infrastructure as Code best practices.

Environment: AWS (EC2, S3, RDS, Lambda, VPC, IAM, EKS, CloudFormation, CloudWatch, CloudTrail, GuardDuty, API Gateway, KMS), Terraform 0.13-1.x, Jenkins, GitHub Actions, AWS CodePipeline, Docker 19/20+, EKS 1.18-1.28, Prometheus, ELK, Ansible, Git, Python 3, Bash, RHEL 7/8, Ubuntu 18.04-22.04, Trusted Advisor, Cost Explorer, Agile/Scrum, Disaster Recovery, Cost Optimization.

Client: Humana, Louisville, KY Aug 2018- Sep 2020

Role: DevOps Engineer

Project: Real-time monitoring & infrastructure management automation.

Project Description:

Worked on real-time monitoring, infrastructure automation, and production reliability for Humana healthcare applications and member-facing services. Automated Azure infrastructure using Azure Monitor, Log Analytics, Application Insights, ARM Templates, PowerShell, and Azure Automation. Built CI/CD pipelines using Azure DevOps and Jenkins, integrated centralized monitoring and ITSM workflows, and implemented security controls aligned with healthcare data protection and HIPAA requirements.

Responsibilities:

Cloud & Infrastructure Automation: Engineered and automated Microsoft Azure infrastructure using ARM Templates, Azure Automation, Runbooks, and PowerShell to improve provisioning, configuration, scaling, and operational efficiency.

CI/CD & DevOps Automation: Designed and maintained CI/CD pipelines using Azure DevOps and Jenkins, integrating Git-based workflows for automated builds, testing, deployments, and release management.

Monitoring & Observability: Implemented real-time monitoring using Azure Monitor, Log Analytics, and Application Insights. Created KQL dashboards, alerts, and automated remediation workflows to improve system visibility and reduce incident response time.

Configuration Management: Used Ansible and PowerShell DSC to automate server configuration, OS and middleware patching, application deployment, and configuration compliance across enterprise environments.

Containerization: Supported application containerization using Docker and integrated container workloads into automated deployment and infrastructure management processes.

Automation & Scripting: Developed automation scripts and utilities using PowerShell, Python, Bash, and Golang for infrastructure provisioning, monitoring, log analysis, configuration management, and operational tasks.

Incident Management: Integrated monitoring and alerting with ITSM platforms such as ServiceNow and JIRA to automate incident creation, troubleshooting workflows, root cause analysis, and resolution tracking.

Security & Compliance: Implemented Azure RBAC, Azure Policy, Azure Active Directory, Key Vault, TLS/SSL, encryption, and access controls to support HIPAA-aligned protection of healthcare and member data.

Hybrid Infrastructure: Supported integration between on-premises and cloud environments, ensuring consistent deployment, configuration, monitoring, and operational processes across hybrid infrastructure.

Application & API Support: Supported RESTful APIs and application endpoints, implementing authentication and authorization mechanisms using OAuth2.0, JWT, and TLS to maintain secure application communication.

Production Support & Reliability: Participated in production support and troubleshooting activities, investigated infrastructure and application issues, performed root cause analysis, and implemented automation-based solutions to prevent recurring incidents.

Agile Collaboration: Participated in Agile/Scrum ceremonies including sprint planning, daily stand-ups, backlog refinement, and retrospectives while collaborating with development, QA, infrastructure, and business teams.

Environment: Microsoft Azure (Azure Monitor, Log Analytics, Application Insights, Automation, Key Vault), Azure DevOps, Jenkins 2.x, Git, ARM Templates, PowerShell 5/7, Python 3, Bash, Ansible 2.x, Docker 18/19, DSC, Splunk 7.x, AppDynamics, Nagios, SQL Server 2016-2019, RHEL 7/8, Windows Server 2016/2019, Azure AD, RBAC, Azure Policy, TLS/SSL, ServiceNow, JIRA, HIPAA, SOX, Agile/Scrum.

Client: Valley Bank, Omaha, NE, June 2016-Aug 2018

Role: DevOps Engineer

Project: End-to-End DevOps with Cloud-Native Infrastructure Automation

Project Description:

Worked as a DevOps Engineer supporting secure infrastructure and application delivery for Valley Bank’s banking and financial services platforms. Automated AWS infrastructure and CI/CD pipelines for transaction-oriented applications, implemented containerized deployments, centralized monitoring, and Infrastructure as Code, and strengthened access controls, encryption, audit logging, backup, and production reliability for regulated financial workloads.

Responsibilities:

Cloud & Infrastructure Engineering: Designed, provisioned, and managed AWS infrastructure using Terraform and CloudFormation, including EC2, VPC, S3, RDS, IAM, Lambda, and Auto Scaling to support scalable and highly available applications.

CI/CD & DevOps Automation: Built and maintained end-to-end CI/CD pipelines using Jenkins, Git, and Maven for automated source code integration, builds, testing, artifact management, and application deployments.

Containerization & Orchestration: Containerized applications using Docker and deployed workloads using Kubernetes and AWS ECS, implementing scalable deployments, service management, health checks, and high availability.

Infrastructure as Code: Developed reusable Terraform configurations and CloudFormation templates to automate infrastructure provisioning, environment configuration, and application deployment processes.

Monitoring & Observability: Implemented monitoring and centralized logging using AWS CloudWatch, Nagios, and ELK Stack. Created alerts and health checks to proactively identify infrastructure and application issues.

Networking & Security: Configured AWS VPCs, subnets, Internet/NAT Gateways, route tables, security groups, and IAM roles to establish secure and controlled application environments.

Application & API Support: Supported RESTful APIs and application services, automating deployments and monitoring application performance to ensure reliable communication between enterprise systems.

Linux & System Administration: Managed Linux/Unix servers and automated system administration, patching, performance tuning, and operational tasks using Bash, Shell scripting, and Python.

Security & Compliance: Implemented IAM policies, encryption, vulnerability scanning, secure configuration standards, CloudTrail-based auditing, and access controls to protect sensitive banking data and support PCI-DSS/SOX-aligned security requirements.

Automation & Configuration Management: Used Ansible and scripting tools to automate server configuration, application setup, patching, and operational processes across multiple environments.

Production Support & Reliability: Monitored production environments, investigated application and infrastructure incidents, performed root cause analysis, and implemented corrective actions to improve reliability and reduce recurring issues.

Agile Collaboration: Participated in Agile/Scrum ceremonies including sprint planning, daily stand-ups, backlog discussions, and retrospectives while collaborating with development, QA, infrastructure, and business teams.

Environment: AWS (EC2, S3, VPC, IAM, CloudFormation, ECS, CloudWatch, CloudTrail, Lambda, RDS, Auto Scaling), Jenkins 2.x, Git, Maven 3.x, Docker 1.12-18.x, Kubernetes 1.6-1.11, Terraform 0.7-0.11, Ansible 2.x, Nagios, ELK 5/6, SonarQube, Nexus 3, REST APIs, RHEL 6/7, Bash, Python 2.7/3.x, PCI-DSS, SOX, Agile/Scrum, IaC, Monitoring & Logging.

Client: AutoZone, Gaithersburg, MD Oct 2014-May 2016

Role: Linux Administrator

Project: Linux Infrastructure Administration and Server Automation for Production Environment.

Project Description:

Worked as a Linux Administrator supporting AutoZone retail and enterprise application infrastructure across production and staging environments. Administered RHEL and CentOS servers supporting web, inventory, store-support, and backend services; managed patching, security hardening, storage, monitoring, virtualization, backups, and performance tuning. Automated recurring administration with Bash/Shell, Cron, and Kickstart to improve availability during high-volume retail operations.

Responsibilities:

Linux System Administration: Administered and maintained RHEL and CentOS servers across production and staging environments, performing OS installation, configuration, patching, upgrades, troubleshooting, and performance tuning.

Server Automation: Automated server provisioning, log rotation, backups, health checks, and routine administrative tasks using Bash/Shell scripting, Cron jobs, and Kickstart.

Storage Management: Managed enterprise storage using LVM, SAN/NAS, NFS, disk quotas, filesystem management, and storage monitoring to support application and database workloads.

Web & Application Services: Installed, configured, and maintained Apache HTTP Server and Tomcat application servers supporting retail web applications, inventory integrations, and backend enterprise services.

Monitoring & Troubleshooting: Monitored system health, performance, availability, and logs using Nagios and Splunk. Investigated alerts, performed root cause analysis, and implemented corrective actions to reduce downtime.

Security & Access Management: Managed Linux users, groups, permissions, sudo privileges, LDAP integration, and access controls. Applied security hardening and vulnerability remediation to maintain secure server environments.

Backup & Disaster Recovery: Supported enterprise backup and disaster recovery processes, including backup validation, recovery testing, and system restoration to maintain business continuity.

Virtualization: Supported Linux workloads hosted on VMware vSphere/ESXi, including virtual machine provisioning, configuration, resource management, and troubleshooting.

Version Control & Collaboration: Used Git and SVN for configuration and script version control. Collaborated with application, database, and network teams to troubleshoot infrastructure issues and improve operational processes.

Network & System Troubleshooting: Troubleshot TCP/IP connectivity, DNS, NFS, application connectivity, system performance, and infrastructure-related issues across Linux environments.

High Availability & Performance: Supported high-availability configurations and performed system performance tuning, capacity analysis, and proactive maintenance to improve infrastructure reliability.

Environment: RHEL 6/7, CentOS 6/7, Bash/Shell, Cron, Kickstart, Nagios 3/4, Splunk 6.x, Apache 2.2/2.4, Tomcat 7/8, MySQL 5.5/5.6, LDAP, NFS, LVM, SAN/NAS, Git 1/2, SVN 1.8, VMware vSphere/ESXi 5.5/6.0, TCP/IP, Backup & DR, Linux Hardening, HA, Performance Tuning, Monitoring.

Client: Mantoria, Decatur, GA April 2013-Oct 2014

Role: Cloud Developer

Project Description:

Worked as a Cloud Developer supporting enterprise banking application modernization and early DevOps automation initiatives. Developed Java, .NET, and Python services and REST APIs, automated builds and deployments using Jenkins, Maven, and Ant, and managed Linux/Windows application environments. Implemented configuration automation with Chef and Puppet, integrated Oracle and SQL Server databases, and supported monitoring, security, and performance requirements for transaction-oriented banking workloads.

Responsibilities:

Cloud Application Development: Developed and deployed scalable applications using Java, .NET, and Python. Built and supported RESTful APIs and integrated applications with Oracle and SQL Server databases.

CI/CD & DevOps Automation: Designed and maintained CI/CD pipelines using Jenkins, Maven, and Ant to automate application builds, testing, packaging, and deployments across multiple environments.

Infrastructure Automation: Automated server and application configuration using Chef, Puppet, Shell, PowerShell, and Python scripting to reduce manual deployment effort and standardize banking application environments.

Cloud Migration: Supported migration of legacy applications and workloads to cloud environments, assisting with application configuration, deployment automation, performance optimization, and environment standardization.

Application Deployment: Managed application deployments across Linux and Windows servers, troubleshooting deployment issues and ensuring consistent application configurations across development, testing, and production environments.

Monitoring & Logging: Configured and maintained Nagios and Splunk for infrastructure and application monitoring, centralized logging, alerting, and troubleshooting.

Database Integration: Supported Oracle and SQL Server database connectivity, application configuration, performance troubleshooting, and deployment-related database activities.

Security & Compliance: Implemented access controls, encryption, secure configurations, audit-friendly deployment practices, and vulnerability remediation to support PCI-DSS and SOX requirements for banking applications.

Performance & Troubleshooting: Performed application monitoring, load testing, performance tuning, and root cause analysis to improve application reliability and scalability under high transaction workloads.

Version Control: Managed application source code, configuration files, and automation scripts using Git and SVN while following branching and version-control best practices.

Agile Collaboration: Participated in Agile/Scrum ceremonies, including sprint planning, daily stand-ups, reviews, and retrospectives. Collaborated with developers, QA, infrastructure, database, and business teams to deliver application and automation improvements.

Environment: Hybrid Cloud, RHEL 6, Windows Server 2008 R2/2012, Java 7, .NET 4.5, Python 2.7, REST APIs, Jenkins 1.x, Maven 3.x, Ant 1.9, Chef 11, Puppet 3, Git 1.x, SVN 1.7/1.8, Shell, PowerShell 3/4, Oracle 11g, SQL Server 2012, Nagios 3.x, Splunk 5/6, Agile/Scrum, CI/CD, PCI-DSS, SOX.

Certifications:

Certified Azure Devops Engineer.

Certified AWS Developer Associate.

Certified Kubernetes Administrator.

Certified Google Cloud Engineer.

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