senior software engineer.

• beaverton , oregon (remote)

• posted 1 day ago

job details

summary

• $53.30 - $63.30 per hour

• contract

• bachelor degree

• category computer and mathematical occupations

• reference1065896

job details

job summary:

Leading global footwear & retail company 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 this company'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 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.

location: BEAVERTON, Oregon

job type: Contract

salary: $53.30 - 63.30 per hour

work hours: 8am to 4pm

education: Bachelors

responsibilities:

• 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

qualifications:

• Experience level: Experienced

• Minimum 5 years of experience

• Education: Bachelors

skills:

• SnowflakeEqual Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).This posting is open for thirty (30) days.