John Smith Email & Phone Number

Irvine, California, Us

Brunswick, Maine, Us

Manage well-architected Kubernetes cluster solutions to be used for both internal and our clients' needs, including certificate management, service meshes, scaling, scanning, authorization and rbac configurations, deployment management with Argo, and moreEstablish patterns for building Kubernetes clusters to be used as a Gitlab runner/executor system, linking pods to accounts when running in particular environments for security and isolation.Architect solutions to GitOps/DevOps needs in both Azure and AWS using combinations of cloud services and Kubernetes services, ensuring GitOps patterns for traditional applications, databases, storage, load balancers, monitoring, security, etc.Internal project work such as an intranet using a Drupal CMS with autoscaling and AWS EFS deployed to ECS, a landing portal using Microsoft SharePoint, a variety of training materials and code labs, and crafting, refactoring, and organizing internal code libraries.Manage/contribute to an Ansible library of roles to establish a best-practice pattern for IAC, CI/CD, and reusable, stable code. Contribute to more performant CI/CD by using custom containers with requisite tools preinstalled, allowing reuse of company code with Ansible in a common, reusable pattern.Develop libraries of service meshes (using AWS AppMesh), blue/green deployments (using AWS CodeDeploy) and disaster recovery (using AWS backup, AWS Application Recovery).Run a DevOps training program to instruct new engineers over a 3-month period to become a full DevOps engineer, focusing on basic programming (Python, JavaScript), understanding Docker and containers, orchestration with Ansible, infrastructure as code with Terraform and CloudFormation, GitOps with GitLab CI/CD, and Kubernetes.

Campbell, California, Us

Lead a team of 8 engineers in best coding practices, reviewing all pull requests, and pair-programming oftenWork to facilitate training sessions, webinars, and peer-sessions to encourage team learningRebuilt the entire Terraform/Chef infrastructure into a Kubernetes cluster (using kops) using Docker images over the course of a little over 1 yearConfigured Docker images to auto-build in AWS ECR upon push into Github, using webhooks and CI (CircleCI) build cycles, and then auto deploy into non-production environments using FluxctlChanged the management culture to trust deployments, reducing release schedules from a full-team, multi-hour testing affair with scheduled downtime once per quarter to a 1 engineer command-line deployment with zero downtimeConfigured autoscaling in Kubernetes using Prometheus metrics, vertical pod autoscaling, horizontal pod autoscaling, and cluster autoscaling to continually self-heal and scale applications as neededBuilt a high-availability Redis cluster inside Kubernetes using a combination of Redis sentinel, HAProxy, and Kubernetes services that will auto promote/heal if a pod is moved or goes downWorked to reduce infrastructure costs (AWS hosting, logging, APM, VictorOps, etc) from over $25,000 per month down to less than $3,000 per month within 1 yearImplement multiple logging and metric solutions for in-house, short-term logs (Loki/Grafana/Prometheus) to large-scale alerting/searching (Sumologic) and long-term archiving of everything (AWS Glacier) using Kubernetes sidecars/daemonsets

Campbell, California, Us

Architected (and coded) a scalable Rails application that interfaces with millions of feeds, pages, posts, comments, tweets, videos, etc on social media sitesConfigured Sidekiq for background jobs and tuned to ensure they would run quickly, using small data stored in RedisOptimized many SQL queries by breaking some queries apart, avoiding temporary disk tables, and heading off N+1 queries using tools such as BulletRe-designed SQL tables to speed queries up, such as converting datetimes into integers to sort and index more efficiently, or to break tables into multiple smaller to allow for better cachingImplemented Rails caching using Redis to improve query times of frequent data, and ensured tests were in place to prevent stale dataConverted four Rails applications from using a MySQL master-master setup over to using a Postgres master-slave setupPerformed application updates and migrations continually, such as gem updates, security patches, and operating-system librariesResponsible for reviewing Ruby code for best practices (SOLID principles), code-style guidelines, vulnerabilitiesWorked to improve our test code coverage using rspec and cucumber, and rewrote many slow, inefficient, and flaky tests to remove sleep/wait blocks and instead leverage Capybara best-practices for finding DOM elements Increased the speed of many tests to avoid hitting the database, using FactoryBot to build sample data or using doubles and mocksReduced coupling of tests (not testing every method/layer, avoiding testing of private methods) to allow for faster and easier refactoring

Our ongoing goal is to provide efficient, self-sustaining tools for businesses to allow them to reach more customers by leveraging the latest in web technologies. Complex websites need not be an expensive proposition; by using open-source software when possible, Whitelancer Web Development is able to provide complex, robust, interactive solutions at a low-cost to our clients. At the same time, we also excel at creating completely custom, tailored web applications that avoid the limitations of "off the shelf" software.

Rebuilt static websites into dynamic, php-based content management systemsCreated and managed online e-commerce systems for magazine sales and bookstoreCreated forums for 4 different magazines and helped moderationCreated online gun trading/selling system with custom-built CMSWorked with Drupal, CodeIgniter, XCart, osCommerce, and phpBBMaintained FreeBSD web servers, including DNS configuration, MySQL optimization, and wrote custom backup scripts

Bachelor Of Science (Bs), Computer Science

Education record