Software Engineer 4

Job Description:
•** is looking for an exceptional Software Engineer to join our growing team. 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. Above all,
your work will accelerate ***'s core mission of serving Athletes*.

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

Who you are
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 andsystems
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, Client scripting, and SQL
You care about agile software processes, data-driven development, reliability, and responsible experimentation
Experience with Spark, Databricks, Snowflake.
7+ years of work experience
Will be the tech lead & representing Engineering



Strong Python skills a must