Projects
Starting work on sorting sales by invoice number in the search indexing service.
Code Reviews
Reviewing three Sales History PRs from teammates: adding sale total to the SaleDocument, adding a payment type filter UI, and updating the user-documents handler in the search indexing service.
Team
Completed my self evaluation for this cycle and shared it with Samy.
Self Evaluation
| Field | Value |
|---|---|
| Name | JT Houk |
| Manager | Samy K. |
| Team | Selling Experience |
| Level | Senior Software Developer |
| Date Joined | 2025-07-07 |
| Time in level | 7 months |
Headline
Senior full-stack developer delivering and maintaining analytics and reporting features for the Selling Experience team, with expanded ownership of Cash Movement Report and cross-team coordination.
Evaluation against the Career GPS
Scope: At level
Owns end-to-end delivery of complex features across the full stack (frontend web UI, backend APIs, data pipelines, BigQuery infrastructure). Coordinates with multiple stakeholders including Platform, Insights, SRE, and Localization teams. Since joining in July 2025, scope has expanded to include ownership of the Cash Movement Report (16k requests/month, p95 5s latency) and leadership of the Line Item Consolidation project. Manages complexity across 5+ repositories and services.
Impact: At level
Exhibits behaviors aligned with Guiding Principles through proactive engagement, asking clarifying questions in meetings to surface ambiguity, and adapting well to feedback. Demonstrates learning agility by quickly ramping up on BigQuery infrastructure despite minimal prior experience. Shows potential for increased impact through cross-team collaboration improvements (documentation contributions to Merchant Insights, responsiveness to Localization team requests). Actively invests in professional development through mentoring junior team members and sharing technical knowledge.
Skills
Coding: At level
Delivers production-quality code across the full stack with strong attention to detail. Demonstrated expertise in performance optimization (12x query speed improvement: 9s to 752ms), complex data handling (UUID binary conversion), and component architecture (TimeRangeFilter refactoring). Uses AI tools (Copilot, Claude) effectively to accelerate delivery and maintain code consistency. Regular contributor to code quality through thorough reviews across team and cross-team PRs.
Operational Excellence: Exceeds level
Managed phased rollout of Cash Movement Report (25% to 75% to 100%) with zero critical incidents. Proactively monitors production systems, catching and resolving issues before customer impact (Jan 21 deployment revert, Jan 29 incident response). Established BigQuery access and development environments for team members. Demonstrates systematic debugging across distributed systems (GraphQL, BigQuery, GCP, Datadog). Created feature flags and managed environment configurations effectively.
Quality Mindset: At level
Proactively identifies data integrity issues (foreign key constraints, orphaned records) and adds preventative measures (regression tests for date filters). Discovers gaps in API documentation and creates tickets for resolution. Validates data flow and catches quality issues ("poopy data") before production impact. Balances pragmatic delivery with technical rigor, though requirements validation processes could be strengthened (time range filter misunderstanding required refactor).
System Design: At level
Designed and implemented an end-to-end data pipeline from local databases to BigQuery using CDC streams and the data pipeline tool. Demonstrated strong optimization skills through partitioning strategies (retailer hash), query optimization (aggregate-optimized paths), and performance profiling. Successfully navigated complex microservices architecture across multiple repositories. Room for growth in architectural influence and early performance baseline establishment.
Continuous Improvement: At level
Documents lessons learned throughout projects for team benefit. Identifies process friction points in project retrospectives (messy handoffs, stakeholder coordination). Takes action on improvement opportunities (documented requirements validation checklist after time range filter incident). Analyzes cloud costs and provides data-driven optimization recommendations. Actively seeks to improve cross-team relations through better documentation and responsive collaboration.
Innovation: At level
Proposed two strategic AI automation initiatives aligned with company direction: AI-powered documentation generation from code artifacts, and an AI agent for CI test analysis to speed debugging. Applied creative problem-solving to technical challenges (UUID binary handling, performance optimization). Demonstrates a forward-thinking approach to tooling and process improvements, though proposals have not yet been adopted or implemented.
AI Proficiency: At level
Effectively integrates AI tools into daily workflow using Copilot for code generation and refactoring, and Claude for implementation planning and edge case analysis. Uses AI to accelerate delivery while maintaining code quality and consistency. Demonstrates pragmatic application of AI to solve concrete problems rather than experimentation for its own sake.
Why not a lower rating?
JT consistently delivers solid results that meet or exceed expectations for a Senior Software Developer. The Cash Movement Report project demonstrates technical excellence with measurable business impact (16k requests/month, industry-leading p95 5s latency, 12x performance improvement). Zero critical incidents during major production rollouts reflects strong operational discipline. Proactive quality focus and cross-team collaboration show behaviors aligned with company values. Regular mentorship of junior developers (Insaf, Vicky) and contribution to team code quality through reviews demonstrate positive team impact beyond individual contributions.
Why not a higher rating?
To achieve a higher rating, JT should focus on:
Expanding architectural influence: Drive technical direction across multiple teams and systems, not just within owned features. Participate more actively in architectural discussions and RFC processes.
Increasing cross-company visibility: Share technical expertise more broadly through tech talks, documentation contributions, or leading working groups. Make optimization methodologies and best practices accessible to other teams.
Strengthening stakeholder management: Improve requirements gathering and validation processes to reduce implementation rework. Build stronger relationships with product and design partners earlier in project lifecycle.
Mentorship formalization: Develop a structured approach to mentoring junior developers with measurable growth outcomes. Document and share mentorship practices with the team.
Innovation execution: Move beyond proposing ideas to driving adoption and implementation of process improvements and automation initiatives.
Key achievements
Cash Movement Report: End-to-End Ownership (Sept 2025 to Jan 2026)
Delivered a complete data pipeline from local databases to BigQuery using CDC streams and the data pipeline tool. Secured BigQuery access infrastructure for the entire Selling Experience team. Managed a successful phased rollout (25% to 75% to 100%) with zero critical incidents. Achieved industry-leading performance: p95 5s latency, 16k requests/month. The performance optimization breakthrough yielded a 12x speed improvement (9s to 752ms), 150x reduction in BigQuery slot time, and 99.9% reduction in rows scanned through partitioning strategy and query optimization. Rolled out to 100% of merchants in January 2026, impacting all cash movement transactions platform-wide.
Production Excellence and Incident Response
Caught and reverted a problematic deployment (Jan 21) before customer impact. Led investigation and hotfix for a SEV-2 incident where sales weren't appearing in Sales History (Jan 29). Proactively identified data integrity issues (foreign key constraints, orphaned records) preventing future production issues. Maintained zero critical bugs in owned features across a 7-month period.
Sales History Feature Enhancements (Nov 2025 to Jan 2026)
Delivered product filter, time range filter, and payment type filter with comprehensive regression tests. Collaborated with the Localization team to improve translation workflow and key context. Addressed bundle size concerns through analysis and coordination with the Frontend Platform team. Fixed production bugs affecting amount display, sorting, and timezone handling.
Technical Problem-Solving
Unblocked the Cash Movement Report data pipeline by solving UUID binary conversion complexity. Analyzed cloud costs, identified a 30% OpenSearch cost spike, and provided optimization recommendations. Debugged and resolved local dev environment setup issues multiple times, improving internal documentation.
Team Leadership and Knowledge Sharing
Onboarded two team members (Insaf, Vicky) to the Cash Movement Report project. Regular code review contributor across team and cross-team repositories. Assisted teammates with CI debugging and technical challenges. Known for asking clarifying questions in meetings that surface requirements ambiguity.
Cross-Team Collaboration
Coordinated with the Platform team on BigQuery access processes and signed commits. Partnered with the Insights team on report definitions and API documentation. Worked with SRE on infrastructure setup and troubleshooting. Responsive to Localization team requests, improving the translation experience.