Remote Software Engineer - ML Infra & Data Pipelines

Akamai Technologies, Inc.; Salt Lake City (UT); Remote; USD 114,000 - 136,000; Full time

Benefits offered by this job

Healthcare

401K savings plan

Paid time off (vacation)

Sick time

Parental leave

Employee assistance program

FlexBase / flexible work arrangements

Job summary

Akamai Technologies, Inc. is hiring for Software Engineer in Cambridge, MA with telecommuting permitted from anywhere in the United States.

You will design, develop, and maintain infrastructure for ML pipelines and CI/CD, collaborate with data scientists, and manage feature stores and model registries to ensure governance and performance. The role requires a Bachelor's degree and 6 months of related experience, with hands-on work in Spark, AWS, Airflow, Python, Scala, SQL, Hadoop, Git, and

Qualifications

• Bachelor's degree or foreign equivalent in Computer Science, Software Engineering, Computer Engineering, Electrical & Computer Engineering, Electrical/Electronics Engineering, Information Systems, Information Technology, or Telecommunications Engineering, plus 6 months of experience in the job offered or closely related engineering role.
• Six (6) months of experience with Apache Spark, Amazon Web Services (AWS), Apache Airflow, Python, Scala, SQL, Big-Data, Hadoop MapReduce, Git, and Jenkins.

Responsibilities

• Design, develop, and maintain infrastructure for ML pipelines and CI/CD.
• Analyze and interpret data to ensure infrastructure performance and identify areas for improvement.
• Collaborate with data scientists, ML engineers, and software developers to achieve common goals.
• Develop and manage feature stores and model registries for data and model governance.

Skills

Education

Bachelor's degree or foreign equivalent in Computer Science / Software Engineering / Computer Engineering

Tools

Apache Spark

AWS

Apache Airflow

Python

Scala

SQL

Big-Data

Hadoop MapReduce

Git

Jenkins

Job description

Akamai Technologies, Inc. is hiring for Software Engineer in Cambridge, MA with telecommuting permitted from anywhere in the United States.

You will design, develop, and maintain infrastructure for ML pipelines and CI/CD, collaborate with data scientists, and manage feature stores and model registries to ensure governance and performance. The role requires a Bachelor's degree and 6 months of related experience, with hands-on work in Spark, AWS, Airflow, Python, Scala, SQL, Hadoop, Git, and