Marcus Bergo Email & Phone Number

Rio De Janeiro, Brazil

Rio De Janeiro, Brazil

• Optimized Infrastructure with Modern Automation: I created a comprehensive infrastructure optimization using Python and Go for scripting, supplemented by CI/CD pipelines in CircleCI and Jenkins. Integrated ArgoCD for.
• Accelerated Software Delivery through Advanced DevOps: Pioneered Infrastructure as Code (IaC) using Terraform, along with Kubernetes for scalable container management. Established automated testing suites with Selenium.
• AI-Driven Infrastructure Enhancements: Spearheaded the integration of AI within DevOps processes, utilizing multi-cloud environments (Azure, AWS, GCP) to deploy machine learning models via TensorFlow and PyTorch..
• Process & Communication Improvements: Developed and documented efficient workflows for incident and change management, ensuring standardized practices that reduce resolution times. Emphasized transparent communication.
• Soft Skills: Strong leadership, with a collaborative approach that fosters teamwork and clear communication across diverse teams. Highly adaptable, with a continuous learning mindset that supports innovation and keeps.

Rio De Janeiro, Brazil

• Cloud Migration & Automation: Engineered a robust CI/CD pipeline in Jenkins to automate cloud migration from Azure to Oracle Cloud Infrastructure (OCI). Leveraged Terraform for IaC, Azure SDK, and custom Golang.
• Integrated Ansible to auto-replicate resources on OCI, achieving consistency in infrastructure deployment while significantly reducing manual intervention and accelerating the provisioning process.
• Developed an on-demand pipeline for Oracle RAC (Real Application Clusters) setup, enabling rapid, reliable cluster deployments for the DBA team and streamlining database management.
• Platform Engineering (Maturity Level 6): Developed a resilient, modular platform engineering framework with zero-downtime architecture, achieving stage 6 maturity through a domain-driven, event-based ecosystem.
• Data Engineering & AI Integration: Built a data pipeline integrating ETL processes with Kafka, Hadoop, and data lakes, facilitating large-scale data storage, transformation, and analytics workflows. Supported business.
• Implemented AI-driven solutions with AWS Bedrock, using unsupervised learning to process and normalize structured documents, advancing predictive analytics and enhancing decision-making across teams.

Rio De Janeiro, Brazil

• Led a diverse team achieving 100% project delivery through the implementation ofCI/CD pipelines using Jenkins and IaC methodologies using Terraform.
• Implemented cloud services automation and managed DBaaS, resulting in a 50%cost reduction and significant improvements in system security and capacity.
• Terraform: Orchestrated infrastructure-as-code deployments, ensuring consistent and scalable cloud environments.
• Kubernetes: Managed container orchestration, achieving high availability and auto-scaling for applications.
• GitOps: Implemented a Git-driven workflow, enhancing the transparency and reliability of infrastructure changes.
• Varnish: Optimized web performance through robust caching strategies, decreasing load times and server stress.

Denmark

• Built GitOps Infrastructure Pipeline: Designed and implemented a full GitOps pipeline for infrastructure as code (IaC) on AWS, leveraging Puppet for configuration management. Established end-to-end automated deployment.
• Enhanced Monitoring and Observability: Deployed Dynatrace for robust monitoring and observability, creating customized dashboards for key services and applications. This setup reduced incident detection time by 60%.
• Ensured Service Reliability and Performance: Designed systems that prioritized uptime and reliability through automated testing, blue-green deployment strategies, and active monitoring. These efforts improved system.
• Process Optimization and Documentation: Standardized DevOps processes and documented workflows for continuous delivery and incident management, reducing time-to-resolution for critical incidents by 35%. Established.
• Soft Skills: Demonstrated effective leadership by mentoring team members and promoting a culture of continuous improvement. Strong communication skills enabled clear alignment with stakeholders on compliance and.

Ireland

• Senior Site Reliability Engineer (SRE)
• Improved system scalability and reliability by 30% through core SRE principles, implementing Borg for advanced cluster management and Chubby for distributed lock services, ensuring resilient resource allocation and.
• Optimized data handling with Google Spanner for globally consistent, distributed database management and Bigtable for high-throughput NoSQL support, enabling seamless scaling and high-performance data workflows for.
• Automated monitoring, logging, and alerting pipelines using Python and Go, with CI/CD integration through Jenkins. Reduced issue detection time by 35% through proactive alerting and streamlined release processes.
• Designed and managed Google Pub/Sub messaging systems to ensure real-time data streaming and synchronization, supporting reliable communication and data consistency across distributed environments.
• Built and optimized CI/CD pipelines with Jenkins, utilizing Docker for containerization and Kubernetes for orchestration, driving collaboration, increasing deployment speed, and maintaining consistency across.

Amsterdam Area

• CI/CD Pipeline Implementation: Orchestrated CI/CD pipelines with Jenkins, GitLab CI, and Docker, reducing time-to-market by 40%. Utilized Kubernetes for container orchestration, enabling scalable and resilient.
• AI Model Development: Led the development of AI and machine learning models, improving performance by 60%. Utilized Apache Hadoop for large-scale data processing and Apache Spark for real-time analytics, significantly.
• Enhanced AI/ML Solutions: Spearheaded the adoption of Jupyter Notebooks for seamless collaboration and reproducibility. Leveraged Pandas and Matplotlib for data manipulation and visualization, resulting in a 30%.

Copenhagen Area, Capital Region, Denmark

• Enhanced software development process leading to a 20% increase in deliveryspeed through Jenkins-based CI/CD pipelines and microservices architecture.
• Tooling - Lots of effort into automatization using GO.
• Optimized Jenkins pipeline by integrating automated regression testing, resulting in a 60% reduction in testing time and a 20% increase in software release frequency.
• Led a cross-functional team in implementing caching mechanisms and CDN integration, resulting in a 70% reduction in server load and increased system capacity to handle 100,000 concurrent users.
• SQL/NoSQL DB: Harmonized SQL and NoSQL data models to support a hybrid e-commerce platform, optimizing transactional efficiency and scalability.
• Java/Python/Ruby: Developed a multi-language application suite — Java for backend logic, Python for data processing, and Ruby for scripting tasks — maximizing each language's strengths.

Rio De Janeiro Area, Brazil

• Optimized IT Infrastructure and DevOps practices with Jenkins, leading to a 30% reduction in deployment times through automated infrastructure provisioning and code deployments.
• Revolutionized infrastructure automation by leveraging Puppet, reducing system provisioning time by 75% and enabling rapid deployment across a distributed network of 200+ servers.
• Orchestrated the development and implementation of code deploy automation using tools like Jenkins and Ansible; resulting in a 75% reduction in manual deployment errors and saving 20+ developer hours per week.

Rio De Janeiro Area, Brazil

Led the design and development of a distributed system to automate and manage IT infrastructure, facilitating the full virtualization of a datacenter for an IaaS project; optimized resource allocation, resulting in a 30% increase in server utilization and a 50% reduction in energy consumption.

Rio De Janeiro Area, Brazil

Troubleshooting and solutions for most Unix services, SAN administration and Varnish implementations/administration for dealing with big http workloads helping web developers do some great stuff.

Master Of Engineering - Meng, Computer Engineering, Msc. Computer Engineering (To Be)

Activities and Societies: 3 White papers on GenAI and Machine Learning models.Granted strong scholarship support after many interviews..

Postgraduate Degree In Psychology, Psychology, Postgraduate

TCC

Bachelor'S Degree, Computer Science

Bachelor'S Degree, Applied Mathematics