Software Engineer - Remote (US Based)

Job DescriptionJob description

Target/Preferred Experience:

Bachelors Degree2-5 years of previous applicable expereinceExperience with the NodeJS Express API frameworkExperience with the Vue.js front-end frameworkExperience with Postgres, DynamoDB, and ElasticSearchExperience with AWS and infrastructure as codeExperience 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 capabilitiesEnhancing applications by identifying opportunities for improvement, making recommendations, and designing and implementing systems

Maintaining and improving existing codebases and peer review code changesAssisting with process optimizationDevelop automated build and deployment pipelines for your servicesParticipating in post-implementation and system maintenance supportDevelop/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 servicesExperience 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 systemsUS persons (citizens or green card holders) only. 

  Resiliency LLC

  <p></p>

  Address
  San Francisco,
     CA

     USA

    View all jobs at Resiliency LLC

  Report Job