Are you a talented and experienced systems engineer eager to play a central role in the design and development of a cloud-based SaaS text analytics product? Have you been challenged to scale systems to process billions of calls or more? Do you embrace the latest advancements of cloud computing without being distracted by the hype? Do you want to see your work used throughout the private and public sector and around the world? If so, we would like to talk with you about our current opening for a Principal Software Engineer/Architect. If you thrive both on understanding and advancing the latest machine-learned analytics and on helping to develop them into scalable, mission critical systems, then you are our ideal candidate.
Responsibilities and Essential Job Functions
Participate in the design and implementation of our new analytics software as a service offering with a focus on scalability, performance and availability
Work with product stakeholders and as a key member of the development team to identify solutions that address both business and underlying technical requirements
Work with Dev-Ops to develop tools and processes to automate system provisioning, configuration, deployment and testing
Identify and address bottlenecks in a complex, distributed system architecture
Collaborate with cross-functional and cross-company Agile teams on planning and implementation
Actively participate in a Scrum team that focuses on delivering incremental results and constant improvement
Qualifications
Master's or Bachelor’s degree in relevant subject area (e.g., computer science)
7+ years hands-on experience with distributed and multithreaded system-level programming in Java with a focus on making vertically scalable algorithms and horizontally scalable architectures
2-3 years experience with developing and deploying software products in a leading cloud provider environment, eg AWS, Google, Azure
Hands-on development experience with a publicly available SaaS product is highly desirable
Strong troubleshooting and performance tuning skills at the OS, JVM, and network levels
Familiarity with the development and integration of open source software components
Proficiency with development tools such as IntelliJ, Maven, Git, JIRA and unit testing frameworks
Proficiency the Linux operating system and scripting languages
Experience with Spark, Kafka, and Docker is desirable
Capability and willingness to absorb new information quickly and switch gears easily
Excitement for elegant design and high quality implementations