Backend tech lead building out application services in Go and using AWS technologies to serve high traffic at scale.

• Contributed to novel high availability and recovery solutions for AWS RDS Multi-AZ DB instances using Go, Python, and Java (see https://aws.amazon.com/blogs/database/readable-standby-instances-in-amazon-rds-multi-az-deployments-a-new-high-availability-option).• Led cross-team operational readiness effort for new product launch by unblocking peers and creating alarms & on-call procedures• Owned process for definition, measurement, and improvement for availability SLA metrics for the new RDS database offering.• Enhanced the public AWS CLI for RDS to extend existing functionality for restoring databases from back-ups.• Handled on-call production issues around high availability and durability for AWS RDS as part of on-call.• Held component level design reviews, mentored junior devs, and interviewed candidates to improve the team and code quality.• Placed in two local hackathons improving operations and customer database connection latencies.

• Led team to deliver a revamped, event-driven loan service using the non-blocking Java library Reactor with WebFlux, Spring, and Redis.• Designed and implemented a framework to delete data from any data source using Java, Schedulers, J2EE, and DataStax libraries.• Contributed to the design of our data aggregation architecture for real-time applications using ElasticSearch and Kafka.• Automated dev process by running tests upon pull-request and auto-incrementing library versions after nexus deployment.• Built end-to-end functional and integration test suites using Karate, Maven, JUnit, and many runtime mocking frameworks.• Oversaw team as scrum master to facilitate timelines, organize backlog and sprint planning meetings, and mentoring junior devs.• Triaged and prevented incidents as part of the on-call rotational team across all our backend web services.• Environment: Java 8, J2EE, Spring/Spring Boot Framework, Reactor, WebFlux, Data JPA, Hibernate, Redis, Cassandra, MySql, ElasticSearch, Kafka, Mockito, JUnit, Karate, Log4J, Maven, Jenkins, Git, GitHub, Splunk, WaveFront, PagerDuty, Python, UNIX, RESTful APIs, Microservices, open-source frameworks, JIRA.

• Owned end-to-end implementation of IP based targeting and frequency/impression capping configurations on a UI console using Java, Spring, J2EE, ReactJS, Redux, and JavaScript stack.• Assisted significantly in building an in-house ad server from the ground-up on a Java/Spring web stack with Redis, MySql, Cassandra, JPA, Hibernate, Tomcat, Maven.• Increased functional and performance test suites using Karate, Maven, and Jenkins jobs to run tests once deployed to preprod.• Wrote python and Java scripts to migrate ads from the old to new server and to AWS S3.• Created Splunk dashboards and tuned PagerDuty alerts to prepare team for tax season and new service launch.• Leveraged Spring Cloud Config for dynamic property configuration.• Facilitated as team scrum master scheduling sprint grooming/planning meetings, following agile methodology.• Transitioned ad serving traffic from the old to new system using slow-ramp and background traffic and testing strategy.• Hosted test jams, working closely with marketing, data analysts, project managers, and external partners for a successful release.• Interviewed candidates for backend software engineering roles and successfully filled roles with quality members.• Environment: Java 8, J2EE, Spring/Spring Boot Framework, Data JPA, Hibernate, Kafka, Redis, Cassandra, MySql, Mockito, JUnit, Karate, Log4J, Maven, Jenkins, Git, GitHub, Python, ReactJS, Redux, CSS, Javascript, Splunk, PagerDuty, UNIX, RESTful APIs, Microservices, open-source frameworks, JIRA.

• Launched a loan pre-qualification service for Turbo using Java, Spring Framework, Spring Integration, JPA, Hibernate, MySQL.• Contributed to our notification service to feature SMS messaging, Redis caching, Kafka event encryption, and several bug fixes.• Awarded Engineering Excellence for our notification service, delivering over 1 million notifications per day, at the time.• Deployed a Kafka pipeline and consumer that processed and persisted machine learning models in Cassandra for personalization. • Applied A/B testing strategies for 2 ML models: credit card approval odds and predictive credit card ordering.• Refreshed user data from financial institutions that allowed completion of the OAuth API work for Mint.

• Assisted in refactoring legacy software to be more modular and scalable using Java, git, and jdeps.• Applied various software design patterns to decouple a highly intertwined code base.• Implemented a stand-alone Android survey widget for the personal finance app Mint.• Created several Splunk dashboards to monitor our developer services.

• Developed a Java SDK using Jersey to call our RESTful web service.• Utilized open-source frameworks like WireMock to unit test the library.• Exposed to backend software web development using tools such as AWS, SQL, Jenkins, Tomcat, and Spring.

• Doubled the Java regression buckets used for verifying product functionality for two DB2 on z/OS products.• Contributed to the testing framework API with over 25 more available test methods.