Data Engineer, Geoinnovation

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Indigo is a company dedicated to harnessing nature to help farmers sustainably feed the planet. With a vision of creating a world where farming is an economically desirable and accessible profession, Indigo works alongside its growers to apply natural approaches, conserve resources for future generations, and grow healthy food for all. Utilizing beneficial plant microbes to improve crop health and productivity, Indigo’s portfolio is focused on cotton, wheat, barley, corn, soybeans, and rice. The company, founded by Flagship Pioneering, is headquartered in Boston, MA, with additional offices in Memphis, TN, Research Triangle Park, NC, Sydney, Australia, Buenos Aires, Argentina, and São Paulo, Brazil. www.indigoag.com

The Senior Software Engineer, Data Science Platform will engineer interfaces for Indigo’s data science applications and backend data solutions that support large scale predictive modeling. This person is responsible for maximizing code reusability while also considering API design, model deployment considerations, and the testability of the APIs. This person will also be a critical member of a highly efficient and cohesive engineering team that is focused on the customer’s needs and requirements.

Responsibilities:

  • Design and implement ML train/test/validate/deploy infrastructure
  • Design APIs that software developers love to use
  • Collaborate with architects to identify and gain sign-off for API deployment
  • Partner w/ UI & API team to ensure seamless integration of DSE deliverables into SW platform.
  • Maintain backlog for API needs across a broad set of end users ensuring user stories and prioritization are transparent
  • Implement microservices architecture in AWS
  • Ensure that all APIs are fully tested in an automated framework, including functional and performance tests
  • Release well monitored route optimization api
  • Implement performant logistics model within in staging env

Competencies:

  • Eager/open to learning core data science/machine learning/operations research concepts
  • Passion for developing easy-to-use and customer-delightful APIs, working directly with and demonstrating a deep understanding of the end-user / customer
  • Passion for software development and modern software development practices, including lean and agile
  • Deep commitment to quality, reliability, scalability and maintainability
  • Egoless and works and interacts well with software engineering, product management, data scientists and non-technical users
  • Passion for Indigo mission and values
  • Great listener and communicator, written and oral
  • Technically knowledgeable and not afraid to technically challenge engineers
  • Ability and passion to quickly learn new technologies and industries, staying up-to-date with technology and best practice trends
  • Results oriented, demonstrating a passion to release software, while not compromising on quality and being sensitive to the specific needs for the customer and the application’s usability
  • Experience implementing complex algorithms at scale

Qualifications:

  • Deep understanding of API design, including versioning, isolation and micro-services
  • Experience implementing and productionizing machine learning and operations research models
  • Experience developing RESTful APIs. GraphQL ideal.
  • Experience designing and documenting internal and external (commercial) APIs leveraging an API documentation framework (e.g. Apiary, Swagger)
  • Working knowledge of various implementation stacks and tradeoffs (e.g. java, python)
  • Experience with Amazon services
  • Actively practicing lean / agile software methodologies or similar
  • Bachelor’s degree in computer science, mathematics or equivalent required
  • 4+ years of experience building internal and / or external APIs required
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Location

On the edge of Charlestown, we are within walking distance to restaurants and bars. The Sullivan Square T and bus stop is also right next door! We are currently working remote/hybrid with the exception of our fantastic Biotrinsic team who work from the office and lab space here.

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