Capital One
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help internal customers with data access and analysis.
Own and evolve the enforcement layer that lets AI agents run against consumption platforms in well governed fashion.
Lead delivery of MCP wrappers and implementations as well as integration with model context enrichment systems.
Drive an active security and dependency hardening backlog end-to-end - SSRF, log-injection, ReDoS, and auth-bypass fixes; triage of open Mend CVEs and VulnHunter findings - and own time-boxed platform hygiene work against hard, already-ticking deadlines.
Close correctness and feature-parity gaps across multiple query engines including Snowflake and Databricks;: per-workspace routing, rate limiting, query filtering, and concurrency/memory efficiency under load.
Build out observability and reliability practice for the service - OpenTelemetry instrumentation, New Relic dashboards, PagerDuty alerting on failure classes, cross-region resilience.
Work primarily in Python on AWS ECS Fargate. Breadth in other languages/full-stack frameworks is a plus for cross-team context but is not what this seat does day-to-day - drop the implication that this is a polyglot, multi-team people-leadership role.