CAREERS

Forward Deployed Solutions Engineer (Federal) at C3 IoT
Washington, DC, US
Description
C3 IoT is hiring Solutions Engineers in our Forward Deployed Solutions team to rapidly and accurately configure C3 IoT Platform and Applications solutions that address compelling business problems involving significant scale and technical complexity.

The confluence of machine learning, big data, cloud computing, and new forms of human-computer interaction are driving the emergence of a multi trillion dollar Internet of Things (IoT) market and disruptive transformation in multiple industries. McKinsey & Company estimates this market will grow to an annual economic impact of $3.9-11T by 2025 from sales of enabling products and technology, optimization of existing processes, and the development of entirely new offerings and markets.

C3 IoT is a leader in this explosive market. C3 IoT delivers a comprehensive platform as a service (PaaS) for rapidly developing and operating big data, predictive analytics, and IoT software as a service (SaaS) applications. C3 IoT also offers a family of configurable and extensible SaaS applications operating on its PaaS. The C3 IoT solutions combine extensive development and runtime capabilities in a unique, patent-pending architecture. They empower application developers and data scientists to build and deploy powerful analytical and machine learning applications in a fraction of the time required by other approaches. The C3 IoT solutions are production-proven in some of the world’s largest IoT application deployments and across a wide range of industries.

Forward Deployed Solutions Engineers work on the cutting edge of our business, proving the technical capabilities of the C3 IoT solutions to solve compelling business problems at enormous scale and technical complexity.

They also work closely with customer IT, analytics, and data science teams to position the capabilities and value proposition of the C3 IoT offerings and architect deployments involving hundreds of millions of rows of data, dozens of integrations, and sophisticated processing of enormous transaction volumes.

Recent examples of solution configurations include supplier network risk management, supply chain optimization, chronic disease prevention, customer spend prediction, and equipment lifetime optimization. These are high-impact projects with high levels of internal and external visibility.

We are currently looking for the following territories:

U.S. Federal territories
U.S. Department of Defense
Aerospace & Defense
Key Responsibilities

Collaborate with Solution Leaders to understand customer requirements and with other C3 IoT domain experts, including engineers, product managers, and data scientists
Design and develop demonstration and training functionality with JavaScript, Python, HTML, CSS, and the C3 DSL
Conduct C3 IoT Platform and application demonstrations and training to both internal and external audiences
Participate in all appropriate product, sales, procedural training and certification to acquire and maintain knowledge necessary to be effective in the position.
Required Skills & Experience

Qualified candidates will combine an undergraduate degree, professional experience in directly-relevant technologies, and a demonstrated appetite and aptitude for ongoing skills development. Minimum qualifications are:

3+ years of experience in both front and back end development, exposure to CSS & HTML, and significant skill in one or more of the following languages: JavaScript, Java, and/or Python languages: JavaScript, Java, and/or Python
2+ years of experience demonstrating software products, presenting technical deep-dives, and technical objection handling
Experience demonstrating technical products
Strong work ethic, initiative, and attention to detail
Bachelor of Science in Computer Science, Engineering, MIS, or comparable area of study.
In addition, the following qualifications are highly preferred:

TS/SCI Clearance
General knowledge of big data, database, batch/stream processing, and cloud technologies
Understanding of machine learning concepts, examples, and benefits
Strong product knowledge and understanding of developer ecosystem
Experience with:
CLI tools, specifically: awk, sed, tail, head, curl
Web services, specifically SOAP/REST
Version control tools, specifically git
Machine learning algorithms.