Software Engineer

What are we looking for in our Software Engineer?

Location: Remote

Type: 6 + Months Contract with potential to extend

Pay Range: $50/hr-$60/hr W2 (DOE)

Summary:

• You will be building automation to enable machine learning engineers to continuously deliver predictive analytics for athlete performance, forecasting, personalization, and inventory optimization.
• You will work with a team of architects, platform engineers, and machine learning engineers to come up with new and interesting models, test them, and productionalize and scale them in the cloud as APIs, stream processing, or massive batch processing.
• We are looking for a high energy individual with experience developing cloud native applications, APIs, and data pipelines that values automation, testing, and security. You will orchestrate cloud, containers, big data, parallel processing technologies, advanced analytics, machine learning, and deep learning techniques to quantitatively plan product demand, allocate resources, and target the right customers with the best products.

What you’ll do

• Build cloud infrastructure for machine learning following the MLOps model
• Design and implement public and internal APIs
• Design event and streaming based services
• Build Tests and Build Pipeline for automated Deployment
• Establish Monitoring and Alerting for custom infrastructure
• batch data pipelines for machine learning for massive data sets
• Support investigation of new cloud services, software packages/tools, APIs, container management, and distributed systems, to continuously deliver quality analytics and machine learning at scale.
• Collaborate with a cross functional agile team of software engineers, data engineers, ML experts, and others to build new product features
• Enable rapid iteration and product quality through continuous A/B testing
• Design, implement, and maintain solutions/platforms
• Collaborate with platform engineering and architects to utilize best practices and maintain compliance

Skills:

• Rock solid software engineer with demonstrated experience in enabling MLOps.
• Bachelor’s Degree in computer science, software engineering, or related field preferred
• Experience with CI/CD infrastructure using Git, Jenkins, or similar tools
• Experience with Docker, Kubernetes, Mesos, containers, and related tools and systems
• Experience with AWS components and services, particularly, IAM, ECS/EKS, EMR, S3, and Lambda/Serverless
• Prefers infrastructure as code experience with CloudFormation or Terraform
• Strong Python, shell scripting, and SQL
• You care about agile software processes, data-driven development, reliability, and responsible experimentation
• Experience with Spark, Databricks, Snowflake.
  
  

  Benefits Info

  Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.

Rate/Salary: $50/hr-$60/hr W2