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Title Infrastructure Automation & Full-Stack Development
Target Location US-CO-Denver
Email Available with paid plan
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Candidate's Name
DevOps Architect | DevOps Consultant
Address Denver, Colorado, Street Address  United States
Phone PHONE NUMBER AVAILABLE
E-mail EMAIL AVAILABLE


With 10 years of experience as a DevOps engineer, I've led transformative initiatives in the clothing and
electronics sectors, significantly enhancing operational efficiency and system resilience. My work
developing and deploying CI/CD pipelines has accelerated software delivery while pioneering the use
of Infrastructure as Code (IaC) has streamlined infrastructure provisioning and ensured consistent
management. My strategic approach to cloud migration, particularly AWS, along with the adoption of
containerization technologies like Docker and Kubernetes, has laid the groundwork for scalable and
robust deployments. Furthermore, my implementation of comprehensive monitoring and logging
systems has improved system observability and operational agility. My contribution has not only
automated essential processes but also enhanced system performance and reliability, showcasing my
broad and impactful DevOps expertise.


Skills
                       Continuous Testing: Familiarity with automated testing
                       frameworks and tools such as Selenium, JUnit, TestNG,
                       Cucumber, and integration of these tools within CI/CD
                       pipelines for automated testing stages.
                       Infrastructure Monitoring and Troubleshooting:
                       Advanced skills in system and application monitoring,
                       log analysis, and troubleshooting. Tools and platforms
                       like Dynatrace, New Relic, AppDynamics, and the use
                       of AIOps for predictive analysis can be crucial.
                       Cloud-Native Technologies: Understanding cloud-
                       native application development, including serverless
                       architectures (AWS Lambda, Azure Functions),
                       microservices patterns, and the use of service mesh
                       technologies like Istio, Linkerd.
                       Container Orchestration Advanced Concepts: Beyond
                       basic Kubernetes, delve into advanced orchestration
                       and management concepts such as auto-scaling,
                       advanced networking, and Kubernetes operators.
                       Infrastructure as Code (IaC) Advanced Techniques:
                       Advanced templating, modularization, and state
                       management in IaC tools. Explore tools like Pulumi for
                       programming language-based infrastructure
                       management.
                    Security and Compliance Automation: Implementing
                    automated security scanning and compliance checks
                    within pipelines using tools like SonarQube, OWASP
                    ZAP, and integrating security as a part of the CI/CD
                    process (DevSecOps).
                    Performance Tuning and Optimization: Skills in
                    optimizing application and infrastructure performance,
                    understanding of caching mechanisms, CDN usage,
                    and database performance tuning.
                    Service Mesh Implementation: In-depth knowledge of
                    implementing and managing service meshes to
                    control service-to-service communication in
                    microservices architectures.
                    Chaos Engineering: Understanding and implementing
                    principles of chaos engineering for system resilience,
                    using tools like Chaos Monkey, Gremlin, and Litmus
                    Chaos.
                    Hybrid and Multi-Cloud Management: Skills in
                    managing and integrating multiple cloud
                    environments and hybrid clouds, including cloud
                    brokerage services, and using tools like Anthos or Azure
                    Arc.
                    Data Engineering Basics for DevOps: Understanding
                    the basics of data engineering, pipelines, and
                    workflows, which can be essential for projects involving
                    big data or machine learning operations (MLOps).
                    Observability: Advanced skills in observability, not just
                    monitoring, to understand the state of systems using
                    logs, metrics, and traces. Tools like OpenTelemetry,
                    Jaeger for tracing, and integration of these tools for a
                    holistic view of system health.
                    Programming and Automation: Proficiency in
                    additional scripting or programming languages that
                    are widely used in automation, beyond Bash and
                    PowerShell, such as Go, Ruby, or JavaScript.
                    API Management and Development: Understanding
                    API development, management, and gateway tools
                    like Apigee, Kong, or AWS API Gateway, to manage
                    and secure APIs.


Work History
2021-07 - Current   Infrastructure Automation & Full-Stack Development
                    Fortune500Brand
                       I achieved significant milestones in optimizing IT infrastructure and enhancing
                       full-stack development processes
                       My contributions included designing and executing a CI/CD pipeline that
                       streamlined code deployment and integration, markedly increasing
                       deployment frequency and reliability
                       I developed a resilient cloud infrastructure on AWS, integrating services such
                       as EC2, S3, RDS, and Lambda, to support the growing data demands and
                       ensure high availability
                       By employing Docker for containerization and Kubernetes for orchestration, I
                       enabled more efficient development cycles and application scalability
                       My proficiency in Python and Bash scripting was pivotal in automating
                       repetitive tasks, reducing the need for manual oversight
                       Additionally, I crafted a secure web application for real-time device
                       monitoring, utilizing React for the frontend and Node.js with MongoDB for the
                       backend, which improved user engagement and operational oversight.

2017-12 - 2021-06   Infrastructure Automation Developer
                    Invozone
                       In my tenure as an Infrastructure Automation Developer within the electronics
                       distribution industry from December 2017 to June 2020, I achievednotable
                       advancements in DevOps practices
                       My work led to the successful automation of infrastructure provisioning
                       through Terraform, streamlining the setup of new environments and
                       enhancing operational efficiency
                       I implemented Docker and Kubernetes for container orchestration,
                       significantly improving application deployment and scalability
                       My proficiency in scripting with Bash and Python was instrumental in
                       automating routine maintenance tasks, optimizing system performance
                       I deployed Prometheus and Grafana for advanced system monitoring,
                       ensuring high availability and swift issue detection
                       Additionally, my adoption of Ansible for configuration management ensured
                       consistency and reliability across various platforms, reinforcing the
                       infrastructure's resilience and adaptability.

2014-01 - 2017-11   Software Automation Specialist
                    I2C Inc
                       In my role as a Software Automation Specialist in the clothing store industry
                       from January 2014 to November 2017, I achieved significant milestones by
                       integrating advanced DevOps techniques to streamline operations and
                       enhance software delivery mechanisms
                       Key accomplishments include: Developed and executed CI/CD pipelines
                       using Jenkins and GitLab CI, significantly accelerating software release cycles
                       and enabling rapid iteration of product features in response to markettrends
                       Implemented Infrastructure as Code (IaC) with Terraform and Ansible,
                       drastically improving the speed and reliability of infrastructure provisioning
                       and configuration management
                       Led a successful cloud migration initiative to AWS, leveraging services like
                       EC2, S3, and RDS to achieve scalable and resilient application deployments,
                       while also optimizing cloud resource usage for cost efficiency
               Introduced Docker for application containerization and Kubernetes for
               orchestration, which standardized development environments and simplified
               application scaling and management
               Established comprehensive monitoring and logging frameworks using
               Prometheus and ELK Stack, enhancing system observability and enabling
               faster detection and resolution of operational issues.


Education
            Bachelor of Science: Information Technology
            Minhaj University

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