Accountable for the operation, scaling, security, and compliance for the entire platform on which Sezzle operates.This includes (with some details omitted):- AWS Platform and Serving Infrastructure (Kubernetes), monitoring, observability, alerting.- Deployment infrastructure - source control, CI/CD pipelines, canaries and feature flagging.- Databases - MySQL, PostgreSQL, Elasticsearch- Data warehousing with Redshift, replication, transformations with DBT and event streams.- Data engineering and pipelines, including an implementation with Dagster, and MLOps with AWS Sagemaker.- ML platform for the Data Science teams to leverage training, retraining, researching.- Compliance with full PCI-DSS, SOC 2, SOX, others. Owner of all internal audits and external engagements.- Internal tooling and API services, including dashboards, authentication, backend middleware.- Risk and decisioning services for the product, including deployments of and inferences with trained models.- React Native mobile application, both iOS and Android.- Security program, penetration testing, exploratory testing.

Responsible for Data Infrastructure, Deployments, and Platform Infrastructure, as well as Giftcards/Affiliates, Merchant Product, Revenue, Support, and Marketing engineering domains.

- Turned around MRR from losses of -2% to growth of 3% MoM by managing a team of highly-skilled, highly-flexible engineers to meet a wide range of product needs and return the business to growth.- Supported the GM through an acquisition by private capital, providing knowledge and transparency on technical systems, codebase, processes, customer data, and financial data.- Led all technical aspects of the business, ensuring >99.99% availability of infrastructure, applications, and APIs over the past year, and managed all monitoring, alerting, on-call schedules, data pipelines, financial/KPI reporting, while keeping all hosting costs under control.- Championed values that led to a strong, engaged engineering culture: pair program, instrumenting code for monitoring, alerting and automated testing, and ensure engineers are truly invested in solving customers’ problems. These values allowed the team to quickly iterate on high quality changes that directly led to our business’ performance improvement (less churn, higher trial-to-paid conversion rate due to less bugs, as well as more and better features).

- Met rapidly changing business needs in an increasingly competitive market by streamlining the organization into durable teams of engineers accountable for their own QA.- Achieved a shorter time to market, and shorter time to iterate on customer feedback by building out robust CI/CD pipelines, and baking real time collaboration with product and UX into the SDLC. Software changes became releasable in 10-20 minutes, instead of hours, and entire features could be built in real-time collaboration with product and UX in days, instead of weeks.- Authored and implemented a career development ladder to help guide growth for engineers in our company. Mentored test automation engineers through a transition to product engineering. Built growth plans for team members to set clear growth goals culminating in several promotions and team members taking on greater responsibilities.- Continued to manage and reduce hosting costs for the entire SAAS platform, championing a migration of our backend to Kubernetes, and reducing our overall hosting costs by 50%.

- Built a DevOps organization in support of a new SAAS product, and growing portfolio - hiring 20+ people, and promoting 4 to lead teams supporting DevOps/Infrastructure, Test Automation and QA.- Created career development paths for each area of the DevOps org, and mentored team members through promotions or career shifts into coding.- Managed the organization and infrastructure to a target budget, ensuring we had enough people to get features to market quickly, iterate on feedback, and maintain at least 99.95% application availability.- Architected a REST microservice-based ecosystem, gradually pulling pieces of a monolithic, legacy application into separate ultra-fast APIs behind an API gateway.

- Lead an infrastructure team in building out a new REST microservice-based architecture, reducing costs in both hosting and maintenance by 30%, and allowing rapid iteration on large application features by engineering teams.- Hire 2 additional Site Reliability Engineers to support rapid growth of the business, and expansion into new market niches with additional product offerings.- Create reproducible deployments in Google Compute Engine using Chef, Ansible, and shell scripting, enuring new environments could be recreated on demand.

- Created a robust unit testing framework for a large Python web application.- Advocated for best practices in unit, integration, and end-to-end test automation, bringing the team from writing zero tests, to most engineers testing everything they write.- Back-filled critical path unit tests to catch code coverage up to the fast-pace of development, raising overall Python code coverage from zero to 60%.

- End-to-end test automation with WebDriver; built multiple frameworks across multiple project teams and divisions.- Performance and stress testing using HP LoadRunner and C scripting.- Testing tools management/administration for multiple divisions.- Automated FDA and SOX validation testing. - Provide training on testing and defect tracking to business users in 20+ countries. - Develop and maintain tooling to automate testing and defect life cycle for the business.