BarnPage
A private workspace for riding barns with scheduling, barn-scoped access, lesson media and trainer-reviewed AI feedback.
I designed and built the product across application code, data, privacy, deployment and ongoing operations.
Products / Distributed systems / Production platforms
Jason
Doyle
Senior software engineer.
I build products, distributed systems and data platforms that continue to work under production constraints.
More than a decade across Microsoft Office and Azure, from implementation and product delivery through production operation.
Current role: Senior Customer Experience Engineer and technical lead at Microsoft.
More than a decade at Microsoft
Azure services used by millions
Deployed product and open-source work
Based near Seattle
01 / Engineering work
Products and systems I have built.
Independent engineering work spanning product delivery, backend systems and production constraints.
ThimbleDB
An encrypted browser-first database for small, read-heavy web applications, backed by object storage and an application-owned authority.
The project publishes an npm package, maintained Node and Cloudflare starters, browser recovery tests and raw multi-region evidence with explicit limits.
02 / Professional impact
Software and platform work across Microsoft.
The examples use public, non-proprietary descriptions of the work and outcomes.
01
Software systems
Build data processing and publishing systems for global product teams.
Across Microsoft Office engineering, I built data-processing, telemetry, localisation-validation and workflow systems. The work supported distributed publishing and engineering teams across Europe and North America.
Result: software and automation supporting global product workflows.02
Data platform
Turn fragmented telemetry into a shared engineering system.
Service data was fragmented across several cloud products and difficult to use consistently. I architected shared telemetry ingestion, analytics models and reporting foundations for diagnosis and engineering decisions.
Result: one platform foundation for analysis and reporting across services.03
Delivery automation
Make production changes more consistent and recoverable.
For Azure services supporting global Microsoft product workflows, I built automation and modernised infrastructure, monitoring and diagnostic tooling. The work reduced manual variation around deployment and operation.
Result: reusable tooling for more consistent service delivery.03 / Experience
More than a decade across Microsoft Office and Azure.
A concise public history. The downloadable CV includes the full role detail.
Senior Customer Experience Engineer
Technical Lead, Reliability and Observability
Microsoft / Azure Engineering Operations
March 2025 - Present
Senior Site Reliability Engineer
Azure Data
Microsoft / Redmond, Washington
September 2023 - March 2025
Senior Site Reliability Engineer
Localization as a Service
Microsoft / Redmond, Washington
September 2019 - September 2023
Software Engineer to Senior Software Engineer
Microsoft Ireland
Data, telemetry, automation and Office engineering
May 2014 - September 2019
04 / About
A hands-on engineer who follows the problem.
I started in software, test automation, data processing and telemetry. That foundation taught me to understand a system in detail before changing it.
My work now spans product and backend services, data platforms, high-availability systems and applied AI. I move between architecture, implementation and production diagnosis according to what the problem requires.
Build
Operate
Diagnose
Improve
05 / Engineering principle
Build far enough to learn what the design missed.
Software engineering continues through deployment and operation. User behaviour and production evidence should shape the next release.
Reliability belongs inside the product design.
06 / Whitepapers
Long-form work on software systems, reliable products and accountable AI.
Arguments, evidence and operating models for software that has to work outside the happy path.
When Game Discovery Has a Deadline
How feedback delay changes the value of learning during a short discovery event, with reproducible synthetic results.
Read the paperBeyond Ping
How temporal correlation changes input deadlines under matched delay and loss, and why shared impairment needs a separate measure.
Read the paperGame Discovery Is an Evidence Problem
How game marketplaces can expose source-qualified game discovery evidence to personal agents without publishing private player data or ranking models.
Read the paper07 / Contact
If the work sounds relevant, get in touch.
For hiring conversations, include the role or problem area and a link to the relevant description. My public engineering profile and CV contain the main career and project detail.
Start a hiring conversation [email protected]I also reserve a small number of no-fee conversations for engineering leaders facing difficult reliability or platform decisions. Use the subject “Independent perspective request” and omit proprietary details.