Our expertise includes:
Software Engineering
Our software engineers continue to advance technology and efficiencies in their respective areas, through the integration and application of new open-source and commercial tools and products. They are problem solvers, technologists, and advocates for capability advancement. They continue to push for performance improvements in their applications, and in the systems as a whole. They are critical thinkers, who understand the most complex systems and effect change for the better.
Systems Engineering
Our systems engineers are hands-on problem solvers. They are subject matter experts in their respective fields or areas of discipline. They provide critical intersection points between end-users, development teams, and external integration activities. They understand complex systems, and work to identify optimizations, improved user experiences, and best practices.
Site Reliability & DevOps Engineering
Our SRE & DevOps engineers follow best practices from industry leaders of large scale, 'no fail' systems to create scalable and reliable software systems. We develop analytics to understand current operational performance and establish SLOs and SLAs with our customers and stakeholders. We utilize log-aggregation tools to visualize trends and behavior characteristics to identify and even predict problems. Our SRE/DevOps Engineers promote the use of Continuous Integration and Continuous Delivery (CI/CD) pipelines to permit application development teams to deliver code changes more frequently and reliably.
Cloud Computing
Our Cloud Computing engineers work in highly-parallel compute environments and use data driven analytics to make sense of massive amounts of data. They leverage containerization and microservice approaches to scale services, and reduce deployment risks. They develop fault tolerance across geographically distributed systems, and elastic compute frameworks to grow with demand.
Machine Learning
Our data scientists utilize machine learning techniques to analyze complex data pipelines and synthesize “value”. These techniques include mathematical model development, complex algorithms, predictive analytics, and correlation engines which can be applied at scale and in near-real time. Through the use of machine learning, we are able to identify trends, behaviors, and relationships previously unrecognized by traditional approaches.
Embedded Development
Our embedded developers write real-time applications that run on embedded systems. They understand the limitations and capabilities of these systems—such as memory, speed, threading, and the overall real-time nature of the applications—and use this knowledge to the greatest extent possible.
Digital Signals Processing
Our engineers have been writing digital signal processing algorithms for years. From phase-locked loops to demodulators to resampling to filtering, we're passionate about learning and implementing the newest techniques.
Reverse Engineering
Engineers seek the answer to one question: How does it work? There’s no better way to determine how a system works by taking it apart and putting it back together. With backgrounds in hardware and software engineering, our reverse engineers use tools and methodologies to programmatically expose functions and vulnerabilities.