Drove the design of the gRPC endpoints and the integration testing of said endpoints.

Wrote benchmarks to help in identifying P99 performance issues.

Designed and implemented integration with an internal Event monitoring framework for auditing and analysis.

Optimized mySQL table design for the service.

Modified the build pipeline for the service to improve integration testing flow.

Refactored another internal RBAC engine to add namespacing to a large subset of the APIs.

Scheduler was on top of Apache Mesos which is used for actual execution and resource reporting/management.

Included extra features for efficient resource usage in the data center, such as resource overcommitment and job preemption

Performed on call SRE duties on regular intervals and handled major incidents, plus post-mortems

Also used: Puppet, Go, Kubernetes, Docker, Typescript, Splunk, Hadoop, Zookeeper

Diagnosed and debugged critical live issues in production using E2E alerting and testing tools

Dove deep into the stack for many issues, looked into syscalls with strace, network usage with lsof, and more

Also debugged things like a wide variety of machine hardware failure methods, DNS failures, Load balancer failures, proxy failures, LDAP index failures, etc.

Worked in Scala and Java to design features such as an internal customer hierarchical collaborative workspace

Developed a metrics pipeline for application utilization to move us off of Datameer, a closed source and less flexible solution

Pipeline utilized Python, Pandas, Hive, MySQL, and Apache Superset.

Added various alerting methods when the metrics pipeline broke so that future maintainers would know where to look