Our client is committed to building a culturally diverse environment where differences are valued and respected. Women, minorities, individuals with disabilities, veterans, and intersectional individuals are encouraged to apply.
Target/Preferred Experience:
Bachelors Degree
2-5 years of previous applicable expereince
Experience with the NodeJS Express API framework
Experience with the Vue.js front-end framework
Experience with Postgres, DynamoDB, and ElasticSearch
Experience with AWS and infrastructure as code
Experience with Git and GitHub: Branching, merging, pull requests, etc…
US persons (citizens or green card holders) only.
Position Summary:
The Software Engineer supports a multi-disciplinary team and leads efforts to expand the capabilities of the company's cloud-based predictive analytics platform. This position produces scalable software, driving business growth and dramatically increasing the productivity of our technical, business, and customer-facing teams. The Software Engineer will be working directly on new features of our DigitalClone software and will be exposed to utilizing best practices to achieve business goals.
Responsibilities:
Collaborating with different teams engineers to implement solutions that align with and heighten the DigitalClone Platform and solutions
Building software components and tools to support and expand the platform capabilities
Enhancing applications by identifying opportunities for improvement, making recommendations, and designing and implementing systems
Maintaining and improving existing codebases and peer review code changes
Assisting with process optimization
Develop automated build and deployment pipelines for your services
Participating in post-implementation and system maintenance support
Develop/integrate leading-edge tools and frameworks to build and deploy scalable and efficient machine learning solutions
Minimum Experience and Qualifications:
Proficiency working with a modern programming language (e.g. Javascript or Python)
Proven expertise in developing cloud-based, scalable software applications and services
Experience deploying production applications to a public cloud (bonus points for AWS)
Experience with cloud environments, serverless architecture, SQL/NoSQL databases, containers (Docker)
Knowledgeable in developing and consuming APIs and micro-services to facilitate data access, business logic, and workflows
Experience building and deploying end-to-end systems using either in-house infrastructure or cloud ML environments e.g. SageMaker
Experience setting up and optimizing DBs for production usage for ML systems
US persons (citizens or green card holders) only.