• Reorganized unmanaged legacy AWS infrastructure into Terraform managed infrastructure following best practices like network and environment separation.

• Implemented ``one-click'' GitOps deployment pipeline for entire application stack in GitHub actions with ArgoCD.

• Reorganized legacy monolithic codebase to make service oriented architecture obvious, and dead code elimination possible.

• Instituted enforcement of formatting, linting and static type analysis in CI.

• Spearheaded integration of new technologies into existing ecosystem, such as GraphQL, asyncio, and Celery.

• Integrated OpenTelemetry distributed tracing for inter-service monitoring.

• Assisted with migration of core account and transaction processing off of legacy mainframes and into modern cloud-native implementations.

• Maintained over a dozen Cassandra clusters, addressed security vulnerabilities and other enterprise compliance issues, developed in-house tooling for managing Cassandra schema migrations.

• Implemented Docker-Compose- and Kubernetes-based flavors of performance- and integration-testing environments for hybrid containerized/serverless systems, including push-button pipelines for provisioning K8S-based environments.

• On-call for service outages, incidents, and late-night systems maintenance.

• Implemented local integration testing for hybrid containerized/serverless systems using Docker-Compose, LocalStack, Serverless and Terraform.

• Modernized build pipelines for speed and legibility, wrote shared pipeline libraries, and integrated Jenkins with Slack for better build status visibility.

• Developed workflows for packaging and deploying Serverless applications within CapitalOne's ecosystem.

• Triaged security compliance issues.

• Maintained legacy hotel arbitrage monolith service, added extensive testing, and prepared for switchover to next-generation replacement.

• Architected next-gen event-sourced/CQRS system for hotel arbitrage.

• Implemented entity-resolution microservice for matching hotel names and addresses against Priceline's dataset.

• On-call for service outages and incidents.

• Refactored and extended test coverage on a large legacy Python codebase.

• Developed new features to support the customer buying experience.

• Created and deployed containerized applications to Discogs' Kubernetes cluster.

• Integrated a central authentication service across Discogs' public ecosystem

• On-call for Discogs' central authentication service.

• Instrumented new and existing systems and API integrations.