# Jacob Hull > Software Engineer @ LogDNA | Parsing Guru, Kubernetes, Rust Location: San Francisco Bay Area, United States Profile: https://flows.cv/jacobhull Due is to do. ## Work Experience ### Software Engineer @ LogDNA Jan 2017 – Present | Mountain View LogDNA is a centralized log management solution that gives DevOps teams control of their data and allows them to gain valuable insights from their logs. Recent accolades include the IBM Cloud Embed Excellence Award, the Enterprise Tech 30 list, the Forbes Cloud 100 Rising Stars list, the Top 25 Enterprise Software Startups to Watch in 2020 list, and the CRN 10 Hottest Cloud Startups of 2020 list. The company holds the prestigious Great Place to Work badge with nearly 100% employee satisfaction. At LogDNA, I am an experienced software developer that works with Kubernetes, Docker, Rust, Javascript, ElasticSearch, MongoDB, and Redis daily. Internally I'm referred to as the "Parsing Guru" as I've built or completely refactored most components that parse and analyze unstructured log data. ### Software Engineer, Cofounder @ Tandem Parking Jan 2016 – Jan 2017 | Goleta, CA Tandem creates new, convenient, and affordable parking options by unlocking underutilized space in parking lots and driveways. We are a marketplace for drivers to find parking on-demand, and for owners to rent out their available parking space. -- Lead the design and development of the API architecture which supported the mobile application. ### Intern @ TextDigger, Inc. Jan 2009 – Jan 2009 | San Jose TextDigger offers the most intuitive, evolved, versatile and scalable semantic and linguistic profiling solutions for enriching content. From web publishers, to e-commerce sites, to social networking and corporate enterprises, TextDigger's solutions leverage our proprietary semantic technology to make web pages easier to find, navigate and monetize; and to automatically discover and track content or related content as it is used by our customers. Our platform is uniquely equipped to be more scalable than those of the “Semantic Web” companies that are more theoretically based (and less practical in nature) and require rigidly defined information architectures to function in the narrowest of spaces. By contrast, TextDigger’s solutions work with unstructured text, do not require customers to implement formal ontologies, and can be integrated with as little as one line of code. ## Education ### Bachelor of Science (BS) in Computer Science UC Santa Barbara ### High School Diploma in General Education Oak Grove High School ## Contact & Social - LinkedIn: https://linkedin.com/in/jacob-hull-a491aa85 --- Source: https://flows.cv/jacobhull JSON Resume: https://flows.cv/jacobhull/resume.json Last updated: 2026-04-10