Vectra
Software Integration Engineer
Vectra, California, Missouri, United States, 65018
Vectra AI’s Office of the CTO is seeking to expand the Emerging Technologies team to include a Senior Software Engineer contributing to the company’s next generation of AI-based products and services. This role will focus on server-side, back-end, and API-integration responsibilities for ongoing research initiatives and prototypes.
The ideal candidate will both collaborate through the difficult challenges of early-stage research and development while also working independently and autonomously in their specialized area of focus. Additionally, this role must be comfortable with the ambiguity of open-ended research while maintaining a strong bias to converge that research into a concrete and supportable specification and implementation.
Team Responsibilities:
Envision, develop, and test prototypes to demonstrate feasibility and potential impact to new or existing lines of business.
Transition prototypes from early-stage design into long-term supportable state in partnership and collaboration with peers across organizational boundaries.
Research emerging or newly viable technologies to identify innovation opportunities.
Promote continuous learning, experimentation, and collaboration throughout CTO organization and across organizational boundaries at Vectra AI.
Individual Responsibilities:
Develop, test, and maintain server-side code and back-end services for early-phase R&D initiatives.
Design and implement API integrations and glue code to connect prototyped systems and services.
Leverage software engineering expertise to collaborate with cross-functional teams chartered to identify and enable opportunities for research acceleration through platform capabilities.
Capacity to flex into adjacent technical domains to maintain research velocity.
Qualifications:
5+ years of experience in software development, with a focus on server-side and back-end development.
Bachelor’s degree in Computer Science, Engineering, or a related field.
Proficiency in common programming languages such as C, Java, Python, and Javascript.
Strong experience with API development and integration.
Solid understanding of traditional and non-traditional (e.g., Graph) database technologies.
Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies.
Experience working in R&D organization.
Familiarity with machine learning and data processing frameworks.
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The ideal candidate will both collaborate through the difficult challenges of early-stage research and development while also working independently and autonomously in their specialized area of focus. Additionally, this role must be comfortable with the ambiguity of open-ended research while maintaining a strong bias to converge that research into a concrete and supportable specification and implementation.
Team Responsibilities:
Envision, develop, and test prototypes to demonstrate feasibility and potential impact to new or existing lines of business.
Transition prototypes from early-stage design into long-term supportable state in partnership and collaboration with peers across organizational boundaries.
Research emerging or newly viable technologies to identify innovation opportunities.
Promote continuous learning, experimentation, and collaboration throughout CTO organization and across organizational boundaries at Vectra AI.
Individual Responsibilities:
Develop, test, and maintain server-side code and back-end services for early-phase R&D initiatives.
Design and implement API integrations and glue code to connect prototyped systems and services.
Leverage software engineering expertise to collaborate with cross-functional teams chartered to identify and enable opportunities for research acceleration through platform capabilities.
Capacity to flex into adjacent technical domains to maintain research velocity.
Qualifications:
5+ years of experience in software development, with a focus on server-side and back-end development.
Bachelor’s degree in Computer Science, Engineering, or a related field.
Proficiency in common programming languages such as C, Java, Python, and Javascript.
Strong experience with API development and integration.
Solid understanding of traditional and non-traditional (e.g., Graph) database technologies.
Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies.
Experience working in R&D organization.
Familiarity with machine learning and data processing frameworks.
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