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Software Engineer

  • Location: New York, NY
  • Job Type: Contract
  • Ref No: 22-04353
  • Date: June 28, 2022
  • Pay: $0.0 - $0.0 per Hour USD
  • Job title:

Job Description - Software Engineer

We are seeking an experienced Software Engineer to join our Data Science team as a Cloud DevOps specialist. Our team focuses on harnessing datapoints via innovative analysis, data science approaches and engineering processes. As a member of our rapidly growing team, you will work closely with data scientists, data analyst, ML engineers, and project managers to build robust Continuous Integration (CI), Continuous Delivery (CD) and Continuous Testing (CT) for production model pipelines, improving productivity from lower environments through cloud processes and workflows.


  • Review, analyze, deploy and recommend solutions & tools to improve the ML/AI as service development process from the DevOps, DataOps, and MLOps ecosystem
  • Design, develop, maintain and optimize our CI/CD Systems with focus on resilience, scalability, maintainability, and security
  • Support infrastructure as code and leveraging CI/CD pipelines, managing the full cloud service lifecycle from DataOps, MLOps, DevOps release through retirement
  • Maintain existing build processes, managing the design and implementation of their replacement while working to define and establish the DevOps best practices
  • Iterate on your seamless production applications, continuously increasing observability and automation
  • Build and integrate AWS managed services to meet growing demands across multiple AWS regions, including automation of AWS infrastructure configurations
  • Research, develop, and deploy technical solutions into automated integration testing activities
  • Drive standardization, simplification, and automation across all cloud workflows
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company's Quality Assurance System and procedures

Required Skills:

  • Experience in establishing DevOps with CI/CD/CT pipeline and deploying production engineering models and code
  • Experience with containerization for agile software development and productionization
  • Experience in maintaining continual analytical environment and automation required for ML experiments to production
    Experience working with a team of Data Scientists or ML Engineers offering AI as a service in production environment
  • Proficiency in developing Docker, Kubernetes, Jenkins pipelines for Data Science/ML use cases (3+ years experience)
  • Proficiency in AWS DevOps services
  • Experience integrating DevOps infrastructure with MLOps in AWS Sagemaker or Databricks
  • Experience with AWS infrastructure deployment including Terraform or Cloudformation
  • Experience operating in an SDLC environment
  • In-depth understanding of HTTP and Service Oriented Architectures
  • Experience working with Python, Spark, Pyspark, SQL
  • Exceptional interpersonal and written communication skills, able to concisely synthesize complex technical information quickly and accurately
  • Minimum two years of experience in streaming industry, knowledge of client and server side architecture is a plus

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