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Senior DevOps and Site Reliability Engineer with 10+ years of experience building, operating, and automating Linux and cloud-native platforms. Strong background in Kubernetes, Terraform, Ansible, CI/CD, GitOps, observability, and production troubleshooting across AWS, GCP, OCI, Azure, OpenStack, IBM Cloud, OpenShift, and on-premises/virtualization environments including VMware, Xen, KVM, Experienced with multi-cloud platform standardization, Kubernetes operations, and SOC 2 / PCI DSS-aligned security and compliance processes.
I am a seasoned IT professional with extensive expertise in Python and JavaScript development, proficiently delivering scalable and efficient solutions. My proficiency extends to DevOps practices, where I excel in automating deployment pipelines, ensuring seamless integration, and enhancing overall efficiency. Leveraging cloud technologies, I specialize in designing and implementing robust, scalable, and secure solutions on major cloud platforms. With a solid foundation in both development and DevOps, I bring a holistic approach to building and maintaining cutting-edge applications in cloud environments.
Lifelong learner that enjoys a challenge and solving problems. A passion for developer enablement, making it easier for others to build things and get them out into the world. Dynamic technologist with broad experience in system deployments, networking, software development, packaging, installation and management, cellular technologies and systems monitoring and administration. System administration experience with Microsoft and Linux client and server systems, and various open source software packages and software stacks. Currently exploring the cloud via AWS and Azure and container technologies like Fargate, ECS, EKS, AKS and EC2/Azure VM Compute hosts. Other responsibilities have included email administration, account management, DNS/DHCP and internet filtering. I enjoy implementing new technologies and corralling challenging systems and processes and researching open source software that provides support and flexibility to replace proprietary expensive systems locked into a single vendor. Experienced in Windows deployment, Linux deployment, macOS deployment, software deployment, software lifecycle, developer enablement, and miscellaneous BASH/Python/Powershell scripting features to automate repetitive tasks.
I'm a Python developer with experience in (full stack) web app development. I also have expertise in GNU/Linux internals and utilities. - [My StackExchange profile](https://stackexchange.com/users/2936584/heemayl?tab=accounts) - [My blog](https://heemayl.net) --- **Note:** I don't currently use any AI and don't have any plans to use it in the near future. I love coding as it's like a journey; I enjoy creating the craft and learning from it in the process. Same goes for my system administration stuff. So if you want help with anything related to AI, I'm not the right person. But if you want help with creating/managing something yourself, I might be of help.
I'm a software engineer with over a decade of experience in building software products. I also maintain some widely used open-source projects.
AI Model Engineer, Operating System Developer, Principal Cloud & Infrastructure Architect with decades of hands-on engineering experience and 10+ years designing, modernizing, securing, and operating production AWS environments. I specialize in complex environments where **architecture, reliability, security, and hands-on troubleshooting** intersect. My work has included transforming single-server applications into highly available cloud platforms, designing Infrastructure as Code and CI/CD systems, leading zero-downtime migrations, operating mission-critical SaaS infrastructure, and supporting organizations through significant growth and ownership transitions. Many times I have served as a medium or long term technical consultant and infrastructure owner, working directly with executives, Product, Engineering, QA/Support, and business stakeholders while remaining hands-on with AWS, Linux, automation, security, and production incidents. More recently, I have applied the same production-first approach to AI infrastructure and agentic systems, building secure cloud environments and AI-enabled operational workflows rather than isolated prototypes.
I AM OFFERING FREE MENTORSHIP FOR VERIFIED STUDENTS, ESPECIALLY FOR STUDENTS COMING FROM UNPRIVILEGED OR UNDERREPRESENTED BACKGROUNDS Seasoned software engineer with more than a decade of hands-on international market experience in technology and a strong academic business management background from one of the best business schools in Brazil. Holds multiple technology and business-related certifications, speaks several languages, and loves to bring elegant solutions to complex problems. Technology is supposed to improve people's lives, and I am always studying to enhance my knowledge, overcome new challenges, and do my best in every creation.
Senior Software Engineer | Full Stack Senior .NET Developer with over 20 years of experience in both greenfield and brownfield development, designing, developing, and optimizing complex, scalable applications across legal, healthcare, government consulting, retail workforce management, benefits administration, and programmatic media advertising. Proven ability to lead teams, mentor developers, and implement solutions for complex systems while adhering to best practices and modern design patterns
Building the future generation of online pharmacy software. 19 years of professional experience in Software Engineering Over 20 years of experience with Linux. Multiple years of experience with technical and lifestyle mentoring.
**DevOps & MLOps Engineer | Cloud Specialist (GCP, AWS, Azure)** DevOps and MLOps Engineer with 6+ years of remote experience designing and implementing cloud infrastructure across GCP, AWS, and Azure. Expert in building scalable web applications and AI/ML systems with comprehensive knowledge of 90+ cloud services. Proven track record delivering cost-optimized solutions for US and European clients while working fully remote since 2018. **Technical Skills** * Cloud Platforms: GCP (Expert), AWS (Expert), Azure (Proficient) * Infrastructure as Code: Terraform, CloudFormation, Google Cloud Deployment Manager * Containerization: Kubernetes (GKE, EKS, AKS), Docker, ECS, Cloud Run * CI/CD & DevOps Tools: Jenkins, Google Cloud Build, AWS CodePipeline, Azure DevOps, Ansible * Programming & Scripting: Python, Bash, YAML, HCL * Operating Systems Administration: Linux (Ubuntu, Debian, CentOS), Solaris **Cloud Expertise** **(a) GCP Services/Skills** * Compute & Containers: Compute Engine, GKE, Cloud Run, App Engine, Batch, Cloud Functions * AI/ML Platform: Vertex AI, Document AI, Gemini, Vision AI, Speech AI, NotebookLM * Data & Analytics: BigQuery, Dataflow, Pub/Sub, Dataproc, Composer, Looker * Storage & Databases: Cloud SQL (MySQL, PostgreSQL), Firestore, Bigtable, Memorystore, Cloud Storage, Filestore * Networking: VPC, Load Balancing, Cloud CDN, Cloud DNS, Cloud NAT, Interconnect, VPN * DevOps & CI/CD: Cloud Build, Artifact Registry, Container Registry, Cloud Deploy, Source Repositories * Serverless & Integration: Cloud Functions, Cloud Scheduler, Cloud Tasks, Workflows, API Gateway, Apigee * Observability: Cloud Monitoring, Logging, Trace, Error Reporting * Security & Management: IAM, Organizations, Security Command Center, Deployment Manager **(b) AWS Services/Skills** * Compute & Containers: EC2, ECS, EKS, Lambda, Batch, Elastic Beanstalk, Lightsail * AI/ML Service: SageMaker, Polly, Rekognition * Storage & Databases: S3, EFS, RDS, DynamoDB, ElastiCache, DocumentDB, MemoryDB, AWS Backup * Networking & CDN: VPC, CloudFront, API Gateway, Route 53, WAF & Shield * DevOps & Developer Tools: CodePipeline, CodeBuild, CodeDeploy, CodeCommit, CodeArtifact * Management/Governance: CloudWatch, CloudFormation, CloudTrail, AWS Config, Organizations, Trusted Advisor * Security & Compliance: IAM, KMS, Certificate Manager, Secrets Manager * Application Integration: SQS, SNS, Step Functions, Amazon MQ, SES * IoT & Edge: IoT Core, IoT Events * Cost Management: Billing Conductor, Cost Explorer **(c) Azure Services/Skills** * Compute & Containers: Virtual Machines, AKS, Azure Container Registry, Container Storage * Databases: Azure SQL, Azure Cache for Redis * DevOps: Azure DevOps * Networking: Azure Firewall, NAT Gateway, Load Balancer, Virtual Network * Storage: Blob Storage, Disk Storage, Container Storage, Storage Accounts **Cloud Certifications** * Google Professional Cloud Architect by Google Cloud Platform (GCP) * Amazon Web Services Solutions Architect Associate by Amazon Web Services (AWS) **Professional Affiliations** * Member | AI Accelerator Institute | May 2023 - Present * Connecting and empowering AI infrastructure innovators * AWS Community Builder | Amazon Web Services | May 2021 - May 2023 * Built AWS Community through meetups, training, and live sessions **Additional Courses** **DevOps Courses (from LinuxAcademy)** * DevOps Essentials * Docker Quick Start / Docker Deep Dive * Using Ansible for CM and Deployments * Jenkins Quick Start / Jenkins and Build Automation * Container Clusters with Kubernetes * Puppet Quick Start * Learning Vagrant * Ansible Quick Start **Machine Learning Courses (From Coursera)** * Machine Learning with TensorFlow on GCP * How Google does Machine Learning * Art and Science of Machine Learning - Feature Engineering * Intro to TensorFlow * Launching into Machine Learning **Data Science Courses (From DataCamp)** * Cleaning Data in Python * Data Manipulation * Data Scientist with Python * Importing & Cleaning Data with Python * Importing Data in Python (Part 1 & 2) * Intermediate Python for Data Science * Intro to Python for Data Science * Introduction to Databases in Python * Machine Learning with Python * Python Data Science Toolbox **Some Recent Projects and Technologies** * Deployment and Maintenance of GKE Clusters in Development, Staging and Production Environments * Scripting deployment of a complete Project with GKE in GCP * Scripting/Terraforming deployment of a complete infrastructure in AWS * Terraforming App Engine, Cloud SQL, MongoDB, VMs and MemoryStore in GCP * Migration to Google Cloud Platform, with web application, databases and storage * Setting up number of GKE clusters for clients for online services * Setup of multiple projects for DICOM services for a US client * Setup of ML Based services infrastructure using GKE (with GPUs) and VMs
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