- Increased observability across applications by integrating Datadog for log, metric, and trace aggregation. This enabled us to isolate and fix key application performance issues.- Helped establish a process to prioritize and address technical debt alongside existing work streams. This empowered engineers to advocate for improvements to enhance engineering sustainability.- Forged relationships with external teams (e.g., Cybersecurity, Data Analytics, upstream and downstream consumers) to better negotiate cross-team dependencies. This enabled us to ship complex integrations sooner, and with fewer setbacks.

- Helped scale cloud-based lab operations software from a single instance, to multiple instances, each supporting distinct geographic locations. This enabled us to grow our business.- Developed tooling to repeatably apply database schema changes across all lab software instances. This reduced the number of mistakes we made due to manually applied database schema changes.- Built Amazon Lambda-based processes to automate the aggregation of application data into a centralized data lake. This enabled our data analytics teams to generate insights about our business.

- Instituted organization-wide system for making architecturally significant decisions. This standardized and increased transparency around our engineering decision-making process.- Iteratively improved the engineering hiring process by introducing an apprenticeship program, standardized application assessment, and on-site interview loop. This made us feel better about our hiring practices.- Helped hire software engineers across teams, conducted performance reviews, and aided in peer professional development. This gave me a new perspective on what it means to be an engineering leader.- Assembled cross-functional working groups to address organization-wide issues around business development and diversity, equity, and inclusion (DEI). This helped break down organizational silos.- Instituted an engineering growth ladder. This improved clarity in our growing engineering organization.

- Founded the organization's first web application infrastructure team. This enabled us to scale the engineering organization.- Assembled software delivery pipelines with reproducible development environments, immutable deployment artifacts, and infrastructure as code (IaC). This standardized our application delivery processes.- Built and maintained a set of open-source Terraform and Ansible modules for cross-project use. This improved our infrastructure component reusability and aided in recruiting.- Defined an incident response procedure to catalog production issues blamelessly. This added structure to our incident response process across teams and enabled us to better learn from our mistakes.

- Participated in technical pre-sales engagements with companies across the country. This improved the effectiveness of our sales cycles.- Maintained official Chef cookbooks for Riak and Riak CS. This provided our users with standardized ways to install our products.- Built tooling around Docker, Datomic, Omnibus, and Vagrant for the Riak ecosystem. This made it easier for users to integrate our products with other common tools in the ecosystem.

- Automated the end-to-end data preparation and publishing process for core data sets. This enabled us to focus on more sophisticated data sets.- Converted an SEC filings full-text search prototype into a cloud-native service with a distributed data ingestion pipeline and search index. This led to our very first interactive data product.