Jeremy Lancaster

Staff Software Engineer leading architecture and technical delivery for EasyPost's core carrier integration services, owning high-volume shipping infrastructure processing hundreds of thousands of requests per minute across UPS, FedEx, and 230+ carrier integrations. Drive end-to-end initiatives spanning API design, performance engineering, carrier negotiations, and team development toward principal-level impact.

Key Accomplishments:

• Resolved production-critical UPS rate-limiting crisis operating significantly over carrier throughput thresholds — diagnosed multi-fold request amplification in rate-shopping flows, proposed hybrid fallback routing and multi-account round-robin strategies, and drove vendor escalation with UPS engineering leadership to negotiate capacity increases and stabilize enterprise customer traffic
• Delivered major throughput and CPU-efficiency gains on a high-volume Python/Flask carrier microservice by migrating the WSGI runtime, resolving a Flask + asyncio anti-pattern, and implementing signal-based hard timeouts, backpressure-aware circuit breakers with rolling SSL-error windows, and content-hash request deduplication — validated under load testing and presented internally as the reference pattern for async carrier services
• Led technical design and delivery of a premium UPS service tier integration across the EasyPost Rails monolith and the UPS CIF Python service, including nested shipment options schema, validation layer, and full backward compatibility across multiple API versions
• Delivered UPS DAP platform enhancements and a new service level for a major enterprise client, driving meaningful incremental carrier revenue and improved revenue-share terms
• Designed a QR-code returns integration as a Python-first service with a Ruby pass-through in the monolith, establishing the pattern for offloading carrier-specific logic out of the Rails codebase
• Architected a Kafka-based distributed transcript capture system across Python and Go services, moving from a cross-contaminated shared topic to per-service isolated topics flowing into centralized log search for self-service carrier debugging

Technical Leadership:

• Mentor and grow engineers on the core carriers team, including developing a mid-level engineer toward Senior and providing structured performance feedback for junior engineers on execution, code quality, and codebase navigation
• Own the technical interview loop for Ruby and Python candidates, designing and calibrating a shipping-domain coding challenge with multi-level rubrics used across the engineering org
• Drafted executive-level incident communications, status page updates, and carrier-facing technical correspondence during production incidents affecting enterprise customers
• Partnered cross-functionally with Core Carriers, Shipping Engineering, and external carrier engineering teams on multi-quarter integration roadmaps and technical design reviews
• Informal technical advisor to the DevOps/Platform team on GitHub Actions, cloud migrations, and distributed systems architecture

Architect and technical lead for a large-scale AI and data intelligence platform, building distributed web scraping and enrichment pipelines processing 180,000+ websites. Owned end-to-end platform development from infrastructure design through product vision.

Key Accomplishments:

•  Architected distributed web intelligence platform processing 180,000+ church websites using RabbitMQ pub/sub pipelines with specialized workers for business info, leadership extraction, media discovery, and program detection
• Built LLM-powered data extraction system using OpenAI and local inference (Ollama) with Pydantic-validated structured outputs, automating ingestion into PostgreSQL, Salesforce, and a JSON data lake
• Developed predictive ML models for church size prediction, technology signal detection, and quarterly vendor transition analytics using XGBoost/LightGBM with custom feature engineering
• Designed hybrid on-prem/cloud infrastructure using Docker Swarm and Kubernetes (MicroK8s) to balance cost efficiency with scalability requirements
• Implemented Salesforce integration with OAuth PKCE authentication, token rotation, and automated enrichment of custom CRM fields for sales intelligence

Technical Leadership:

• Led product vision for AI-powered sales intelligence tools, competitive market datasets, and vertical SaaS integrations
• Prepared platform architecture and data assets for technical due diligence in acquisition discussions
• Designed vector search infrastructure using pgvector, Milvus, and Qdrant for semantic similarity and RAG applications

• Created and lead a companywide Cloud Training Initiative with support from AWS Technical Trainers
• Lead a team of 6 Senior Solutions Architects in the redesign of the digital lending product using a cloud-native approach.
• Assisted in the effort of migrating 100s of blade servers within a traditional data system into the AWS ecosystem.
• Designed and developed a partnership integration with StateFarm using AWS lambdas, API Gateways and other cloud native technologies which realized $25MM in additional revenue per year.

• Migrated our Java hardcoded translation system to an in-house developed i18n translations manager which reduced translation errors by 60% and reduced developer maintenance to 0%.
• Implemented a new API endpoint which provides object-property metadata to >1 million users daily.

• Managed a distributed team of 10 developers from across the US and Mexico, conducting code reviews, sprint planning, retrospectives, and project planning. Directly reported to CEO then Vice President of Engineering.

• Rewrote the data collection system to scrapy, python and AWS Cloud-native technologies which resulted in an increase in speed (800%) and reliability (99.87% Success Rate) while decreasing operational costs by 34%.

• Created a highly-scalable e-commerce data collection system that collects product review data across more than 10,000 websites in under 4 hours of compute time.

• Migrated web servers, databases and file storage to AWS from a traditional data center to take advantage of the ease-of-use and scaling opportunities built into AWS while decreasing our operational cost by 48%
• Created an online data visualization/capture system that supported 4TBs of project management data in an easy to digest method.
• Created a WordPress plugin that was designed to match each customer with a custom-made bourbon
• Created a USPTO based patent search system.
  • See Notable Technical Achievements for more details

• Made improvements to the in-house DOM parser which resulted in a 20% decrease in development time.
• Optimized several high-profile mobile ecommerce websites that are used by over 1 million people per day reducing page load times on average by 12% (Hot Topic, American Eagle, Rite Aid, Bath & Body Works)
• Used Vagrant, Virtual Box and Docker to setup a standardized development environment for all PHP and NodeJS developers. This in-turn reduced
  production rollbacks due to environment by 98%.

• Created an XML Delivery Framework that allowed two development teams to share the same data source. This cut server cost by 60% and increased speed of development by 2X.
• Created a customized caching solution that improved load times by over 400% and reduced bandwidth consumption by over 150%. This resulted in 27% lower monthly server cost.
• Created a customizable reporting system that could be used by both sales and marketing which resulted in lowering our time to acquire a new customer from 6 weeks to 3.
• Created a production test suite which increased our uptime to 99.7% and lowered our after-hours support personnel by 45%

• Created a SOAP Server Library that was in-use by 6 other developers.
  The library allowed us to speed up the time to delivery by 4X and decrease reported bugs by 9X.
• Created an affiliate tracking pixel that was called over 1 million times per day for proper tracking of hits, conversions, and other data related to the advertisement.
• Created a caching and delivery system for use with the tracking pixel which allowed us to scale passed the current limit of 500,000 records per hour which resulted in a decrease of spending by 150%.

• Redesigned over 200 client websites that allowed them to properly deliver their products, sales message, or branded information. My clients, on average, saw an increase in lead generation of 40% and increased sales by 25%.
• Migrated over 100 client hosted servers to Amazon Web Services. This saved on average, 50% of operating cost and increased uptime by 30%.
• Created a customizable phone system utilizing Asterisk PBX which allowed the client to fully automate 80% of their current customer service calls thus reducing cost by an estimated 67%.
• Created a customized US patent search engine that would use algorithms created by the client to assign certain monetary value to each patent. This system allowed their clients to select patents that were available for purchase to increase their current innovation pipeline and spur new ideas and products