Reliability Engineer Devops

Mario Martinez

Houston, TX 281-***-**** *************@*****.*** GITHUB LinkedIn

EXPERIENCE

System Reliability Engineer

Settology Innovation Solutions

September 2022 - 2024

●Revitalized a failing cloud infrastructure by integrating multi-cloud platforms (Azure, AWS) and Linux systems, achieving 99.99% uptime in three months. Leveraged DevOps tools like Docker, Kubernetes, Ansible, and Puppet, earning the highest internal excellence award for operational stability.

●Automated performance monitoring and financial management using Python, JavaScript, and Linux scripting in Azure DevOps and Postgres, reducing costs by 25% and increasing efficiency by 40%.

●Deployed 100+ Azure services with zero downtime, cutting timelines by 50% using CI/CD pipelines with Jenkins, Bitbucket, and Git.

●Enhanced cloud security with Ansible, Puppet, and Dynatrace, ensuring compliance with industry standards while collaborating cross-functionally through Jira and Confluence.

DevOps Engineer

JPMorgan Chase

December 2020 - August 2022

●Managed client software communication across multi-environment deployments, ensuring 99.9% uptime and seamless performance as an SRE.

●Implemented CI/CD pipelines with Jenkins, Bitbucket, and Git, reducing deployment times by 40%, while adhering to SDLC methodologies and Agile practices to enhance team productivity by 30%.

●Resolved critical code issues using Splunk, saving an average of 15 hours per incident, and utilized Python to automate data processing workflows, improving efficiency by 25%.

●Built, deployed, and maintained distributed applications, scaling systems to handle a 50% increase in workload using Docker, Kubernetes, and Azure DevOps.

●Conducted artifact management and error analysis for Jules (Pipelines) deployments, reducing deployment failures by 20%.

●Optimized UNIX/Linux systems, resolving network connectivity issues and improving system reliability metrics by 35%.

Site Relability Engineer

Settology Innovation Solutions June 2016 - November 2020

●Designed and optimized 15+ Python-based microservices using Flask, Django, and MongoDB, improving API response times by 20% and reducing memory usage by 15% in cloud environments like AWS and Azure.

●Automated code quality assurance through CI/CD pipelines with Jenkins and GitLab CI, reviewing over 200+ pull requests, enforcing PEP 8 compliance, and reducing defects by 25%.

●Delivered technical insights, leading to the implementation of asynchronous processing with Celery and RabbitMQ, ensuring compliance with OWASP standards and improving deployment success rates by 30%.

●Spearheaded cross-functional collaboration with DevOps, front-end, and QA teams, leveraging PyTest, Docker, and Mocha to reduce deployment timelines by 10% and ensure releases met strict performance SLAs.

EDUCATION

University of Houston, Bachelor’s of Science in Engineering

Skills:

●Programming Languages & Frameworks: Python, JavaScript, React.js, Node.js, HTML5, CSS3, Jquery, Express, Redux, Java.

●DevOps & Cloud: CI/CD pipelines, Jenkins, Docker, Kubernetes, Ansible, Puppet, Chef, Zabbix, Splunk, AWS (EC2, Beanstalk, Lambda, DynamoDB, RDS), Microsoft Azure, GCP, Terraform, Dynatrace.

●Databases: SQL, MongoDB, Mongoose, Postgres, KNEX.js, SQL Developer, database optimization, and query design.

●Tools & Methodologies: Git, Bitbucket, Jira, Confluence, Webpack, Babel, RESTful APIs, Postman, AJAX, JSON, Heroku, Chai, Mocha, Agile (Scrum, Kanban), SDLC.

●Specialized Skills: Profiling and optimizing performance, incident response planning, troubleshooting network connectivity, statistical analysis, data visualization, A/B testing, and continuous learning of industry best practices.

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