Careers

Engineer Job Responsibilities: 

• Create scalable, robust, testable, efficient, and maintainable Java-based services 

• Implement new features for the GarbleCloud web application 

• Help with architectural and design planning 

• Collaborate with architects, front-end engineers, field engineers, support, QA, and documentation to deliver the best user experience and system performance, while always maintaining robust security 

• Review other team members’ pull-requests and provide useful feedback to help improve the product and improve the skills of other developers 

Job Requirements: 

Full-stack engineer with significant experience with all of the following: 

• Back-end development, ideally with one or more strongly-typed procedural or object-oriented languages (Java preferred) 

• Front-end development with JavaScript, HTML, and CSS 

• Designing and implementing RESTful APIs 

• Experience writing applications that use a modern front-end framework (Angular preferred) 

• Detail-oriented with an emphasis on code quality and consistency 

• Comfortable working/developing on the Linux command-line 

Strongly prefer candidates with experience in one or more of the following areas: 

• Authentication methods (SAML, OAuth, etc.) 

• Secure coding practices 

• Browser security 

• Cryptography or experience with related topics (PKI, TLS, etc.) 

• Network protocols 

• Databases (MySQL preferred) 

• Familiarity with Google Cloud Platform (GCP) 

Preferred Education: 

Solid computer science background (Bachelor’s or Master’s degree in Computer Science, Computer Engineering or related discipline preferred; equivalent experienced considered) 

Job Responsibilities: 

• Create scalable, robust, testable, efficient, and maintainable search-centric web applications 

• Implement new features and enhancement for powerful, multi-cloud search capabilities for the GarbleCloud web application

• Help with architectural and design planning of Garblecloud’s integrated document indexing and search engine

• Collaborate with architects, front-end engineers, field engineers, support, QA, and documentation to deliver the best user experience and system performance, while always maintaining robust security.

• Work closely with the CTO team to extend current capabilities around “scalable search on encrypted documents”.

Engineer Job Requirements: 

Document/unstructured-data processing & search implementation specialist with significant experience with all of the following: 

Required skills:

The ideal candidate will have deep knowledge about how scalable information retrieval systems work. Knowledge of at least one popular document hosting platform (like Apache Solr/Elastic) along with the underlying Lucene library is required. Main components that he/she needs to have a deep understanding and mastery of are: 

– Document parsing, indexable-text extraction (keywords and patterns), stemming, data cleaning, error handling, keyword and pattern query processing, server-side indexing of data — postings list generation, Inverted list data structure (both main-memory and disk-based implementation issues to address), search query processing on server (how list intersection algorithms work, efficient trie-based query evaluation in main memory, suffix trees, etc), result sorting and ranking, amongst other things. 

Desired skills:

– Experience with RDBMS implementation — knowledge of B/B+-trees properties, query parsing, query re-writing, query optimization etc. 

– Additionally, an understanding (or willingness to pick up quickly) the various components of Google Cloud Platform and various cloud platform APIs that can be used to enhance/scale search query execution — using Memcache, paging, smart query-rewriting that takes Google App Engine (GAE) and Google Drive query API restrictions into consideration etc. 

– Additional knowledge of Amazon AWS, CloudSearch etc. will be useful.

Preferred Education: 

• Solid computer science background (Bachelor’s or Master’s degree in Computer Science, Computer Engineering or related discipline preferred; equivalent experienced considered)