| layout | title | permalink |
|---|---|---|
page |
Resume |
/resume/ |
- Name: Chip Locke
- Phone: +1 (206) 388-7789
- Email: [email protected]
- GitHub, LinkedIn,
- Architect for control plane infrastructure team, guiding a team of more than ten engineers.
- Supported regional expansion from ~10 to over 30 regions to satisfy customer demand.
- Guided development of multi-cloud solutions to enable low-effort CI/CD across public, sovereign (national), and air-gapped clouds.
- Implemented fully private/encrypted networking solution for customers using Azure's Private Link / Endpoint mechanics.
- Leading transition to IPv6+IPv4 support for all Azure ML services.
- Designed solution for high-availability, multi-cluster Kubernetes backend, including dynamic nodepool scaling, atomic rollout+rollback.
- Helped launch the general availability of Azure ML "v2" in late 2018, including addressing compliance, disaster recovery.
- Designed and implemented CI/CD system for a 200+ engineer team to reliably ship updates to control plane microservices.
- Guided efforts in porting Bing-internal experimentation / training services from .NET Framework (Windows-specific) to .NET Core + Docker container microservices.
- Migrated all Bing source code from proprietary (Perforce-fork) source control to Azure DevOps Git.
- Helped build and maintain packaging solutions (versioning, distribution) for C++ libraries shared across many repositories.
- Designed, implemented, and shipped an internal metrics platform (similar to Prometheus) for Bing's internal services, handling over 15,000 baremetal machines, each emitting over 1,000,000 metrics per minute.
- Migrated Bing's core query distribution and aggregation system from C++ to C# with no regression in performance (latency or throughput).
- Designed and implemented a discovery mechanism for the ~100 distinct microservices, including dynamic graph building for dependencies, as well as optimistic caching.
- Improved realtime query-serving network performance and reliability by implementing a custom load balancing and fault detecting mechanism for microservices hosted across >30,000 baremetal machines per region, across several regions.
- Designed and implemented a service to provide dynamic timezone conversion utilizing user location data, and reactive to timezone database updates shipped as part of the core Windows infrastructure.
- Implemented a system for realtime validation of "instant answer" services by reversing per-service grammars to ensure user results were returned as expected whenever data sets were updated.
- Hands-on build out of Bing's second-ever (and largest) datacenter, including scripted provisioning of Top-of-rack routers using serial connections and Python scripts.
- Implemented a system to ship a large (100s of TB) dataset cross-country over a weekend in preference of physically shipping HDDs.
- Current primary languages are Go, C#, Python
- Experience implementing highly available, latency-sensitive distributed applications across multiple platforms + languages
- Substantial experience with Windows, Linux, and BSD-based operating systems.
- Familiar with many other languages, including C, C++, Bourne (again) shell (bash), PowerShell, Ruby, etc
- Kubernetes, Docker, and containerization in general
- Deep networking knowledge across many layers of protocols (IP + TCP/UDP, HTTP (1/2/3), BGP, Ethernet)
- Extensive experience with many revision control systems, particularly Git, Perforce, and Subversion, with knowledge of Mercurial and CVS