Senior Software Engineer Pay Rate: $60/hr to $63.33/hr on w2
Job Description:
Client 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 the core mission of serving Athletes.
What you'll do Build cloud infrastructure for machine learning following the MLOps modelDesign and implement public and internal APIsDesign event and streaming based servicesBuild Tests and Build Pipeline for automated DeploymentEstablish Monitoring and Alerting for custom infrastructureBuild batch data pipelines for machine learning for massive data setsSupport 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, Client experts, and others to build new product featuresEnable rapid iteration and product quality through continuous A/B testingDesign, implement, and maintain solutions/platformsCollaborate with platform engineering and architects to utilize best practices and maintain compliance Who you areRock solid software engineer with demonstrated experience in enabling MLOps.Bachelor's Degree in computer science, software engineering, or related field preferredExperience with CI/CD infrastructure using Git, Jenkins, or similar toolsExperience with Docker, Kubernetes, Mesos, containers, and related tools and systemsExperience with AWS components and services, particularly, IAM, ECS/EKS, EMR, S3, and Lambda/ServerlessPrefers infrastructure as code experience with CloudFormation or TerraformStrong Python, Client scripting, and SQLYou care about agile software processes, data-driven development, reliability, and responsible experimentationExperience with Spark, Databricks, Snowflake.
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