Victor Nico

Fusing Open Source & Cloud-Native Solutions for Real-World Impact Strategic Cloud Architect: leadership in cloud migrations, focusing on open-source and cloud-native integrations. Proficient in leading teams through complex cloud environments, containerization, and high-availability strategies. Systems Modernization: Refactoring and Foundation for "Clients and Accounts" systems, migrating to AWS for enhanced throughput. Achieved significant performance improvements by sharding petabytes of hot data and employing event-driven strategies. Innovative Modernization Leader: Pioneered AWS-based solutions, accelerating product modernization within a Cloud Native ecosystem. I specialize in componentizing templates and scaffolds for charts, observability, libraries, and IaC, marrying the best of public cloud with Cloud Native technologies. Operational Excellence in PRR: Led Production Readiness Reviews focusing on operational efficiency, security, performance, and cost and sending DevOps and Reliability Engineering principles across product squads. Cloud Native & Kubernetes Mastery: Deep dive into Cloud Native technologies and Kubernetes, applying expertise in high-criticality projects. Keywords: Kubernetes, Terraform, Atlantis, Terragrunt, Cloudformation, Codebuild, Linux, Cassandra, Kafka, Elasticsearch, PostgreSQL,MongoDB,Opsmanager,RabbitMQ,AmazonMQ, EC2, EKS, Fargate, Prometheus, Grafana, AppDynamics, Splunk, Istio, Service Mesh, API Gateway, RDS, EC2, VPC, MSK, Secret Manager, Parameter Store, Elasticache, Cloudwatch, Lambda, Serverless, C++/C#.

• Configured non-production and production environments as part of migration of all assets from one AWS account (web tier: Puppet-based ec2 instances) to another AWS account (web tier: Kubernetes) for “Connect2” (connect2.mheducation.com). Complete environment consists of Terraform to setup almost all non-Kubernetes assets (Elasticsearch, Aurora RDS MySQL, SQS, IAM, Elasticache, VPC subnets and security groups) and Helm to install Kubernetes. Migration of Connect2 was the first customer-facing migration to Kubernetes using McGraw-Hill’s internal Kubernetes project. • Became build/release expert for all Kubernetes apps in addition to “Connect2” that are deployed by multiple dev teams mostly in CircleCI. • Migrated Jenkins jobs from old servers to new security-audited servers without access to the original Puppet configurations. • Updated Terraform repos so that committed code was in sync with existing resources. • In general, became Terraform expert for multiple dev teams. • Became main SRE for some AWS Elastic Container Service (ECS) apps. Migrated a non-CICD, ECS app into a fully CI/CD’d pipeline with newer Terraform modules. • Participated in random troubleshooting (e.g. Kubernetes dns problems, exploding etcd databases, constant pod kills caused by misbehaving Off-Hours downscaling app). • Onboarded new Kubernetes and ECS apps through formal company "Operational Readiness" process, including infrastructure review, security review, and monitoring setup. • Communicated regularly with members of multiple teams (e.g. SRE/functional QA/performance QA/product/security/Jenkins/legacy infrastructure) in multiple offices to research and resolve technical product, product ownership, and access issues. Tech Stack: • Kubernetes, Docker, Helm, Jenkins, CircleCI, Terraform, Bash, PHP, Apache, Ansible, AWS Elastic Container Service (ECS), CentOS 7, Alpine Linux, Yum, SumoLogic, DataDog, NewRelic • Jira, Confluence, Github, Artifactory

Highly experienced Senior DevOps Engineer with a strong background in architecting, automating, and optimizing mission-critical applications and cloud-native infrastructure. Proficient in a wide array of tools, technologies, and platforms, focusing on delivering scalable, secure, and reliable solutions. Core Expertise: Cloud & Containerization: AWS (Lambda, EKS, RDS, API Gateway, OpenSearch), Istio (including Ambient Mode and ZTunnel). Infrastructure as Code (IaC): Terraform, Terragrunt, OpenTofu for scalable and repeatable infrastructure deployment. Messaging & Caching Systems: Kafka, RabbitMQ, Redis for event-driven architectures and low-latency caching. CI/CD Automation: GitHub Actions, CircleCI, ArgoCD, Argo Image Updater, Reloader, and External Secrets for efficient and secure deployment pipelines. Monitoring & Observability: Datadog, OpenTelemetry for comprehensive system insights and performance optimization. Passionate about enabling continuous delivery, improving system resilience, and fostering collaboration between development and operations teams. Skilled in designing secure systems aligned with Zero Trust principles and ensuring compliance with modern observability and performance standards. Constantly learning and embracing innovative technologies to drive business outcomes and enhance team productivity.

Develop routines in microservices, container, monitoring, high availability, continuous deployment and continuous integration, debugging and observability; Develop automation routines for cloud and on-premise infrastructure; Document procedures and environment settings; Solve problems in environments, between services; Develop routines for deployment in a container environment (kubernetes); Automate Ioc routines using Ansible; Implement monitoring routines in Grafana; Acting in cases of interruption and instability in development and production environments and services; Keep the software used in the development process up-to-date, by analyzing version upgrade needs; Develop solutions and improvements in Continuous Integration and Continuous Delivery (CI/CD) tools

- Java 11+ development with Spring for scalable solutions. - Implementation of Rest APIs and optimization of databases via JPA. - Agile methodologies for efficient project execution. - Use of Git (Bitbucket) for version control and advanced testing practices. - Container management via Kubernetes, integrating messaging and caching solutions such as Kafka, Rabbit, and Redis. - Monitoring and Automation: Utilizing Grafana and Prometheus for system monitoring, Alertmanager for alert management, and Terraform, Terragrunt, and OpenTofu for infrastructure automation. - Contributing to innovations in the financial sector, working remotely and in sync with the team.

Job Title: DevOps Engineer Description: As a DevOps Engineer at Alume, I am responsible for fostering the DevOps culture and ensuring the availability, performance, and scalability of cloud environments and critical applications. I develop automations, monitor Linux/Windows servers, resolve incidents, document processes, and propose improvements. I implement and maintain security, monitoring, and performance analysis tools such as New Relic, APM New Relic, Kubernetes (EKS), SonarQube, Prometheus, and Grafana. Additionally, I work with storage and databases such as Postgres, MongoDB, Redis, and Business Intelligence (BI) tools like Metabase. I also manage technological assets and maintain equipment and software. Performed Activities: Proficiency in scripting languages (PowerShell and Bash). Cloud Computing with a focus on AWS. Experience with Git. Knowledge of Jira. Experience with microservices. Experience with containers. Monitoring (Zabbix, Grafana, New Relic APM). Experience with Windows and Linux environments. Understanding of branching strategies. Experience with Build and Deploy automation (CI and CD). Knowledge of programming languages: Node.js, Python. Familiarity with static code analysis tools. Experience with containers (Docker, Kubernetes). Knowledge of security vulnerability analysis tools. Familiarity with Artifact Managers. Knowledge of automated testing. Understanding of infrastructure as code (Terraform). As a DevOps Engineer at Alume, I contribute to the efficiency and reliability of services by promoting automation and operational excellence. This is an exciting opportunity to be part of a dynamic team and drive the company's success

study of availability and optimization of the environment to the distant customer, monitoring of integrity and providing solutions for their systems for the virtual environment and providing assistance.. Tools: VmWare, Hypervisor, Zabbix, Jira. Knowledge and execution of projects and fundamentals of Information Technology Infrastructure

Introdução à inteligência artificial Analytics e inteligência artificial (IA) Machine Learning Técnicas estatísticas: teoria e prática (R Programing) Análise e modelagem preditiva Deep learning Desenvolvimento de aplicações IA - robótica, imagem e visão computacional Processamento de linguagem natural Linguagens de programação para ciência de dados (Python com Spark)