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Sr. DevOps / MLOps Engineer

Data Recognition Corporation

United States

On-site

USD 100,000 - 110,000

Full time

30+ days ago

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Job summary

An innovative firm is looking for a data-savvy DevOps/MLOps Engineer to lead efforts in building scalable, cloud-based systems that enhance educational analytics. The ideal candidate will have over 5 years of experience in software engineering with a strong focus on AWS and CI/CD automation. This role involves collaborating with data scientists and engineers to support machine learning workflows and ensure robust infrastructure. Join a forward-thinking organization that values your contributions and offers a dynamic work environment where technology meets education.

Benefits

Medical insurance
Vision insurance
401(k)
Tuition assistance
Disability insurance

Qualifications

  • 5+ years of experience in DevOps, Cloud Engineering, or Software Development.
  • Advanced experience with AWS services like Lambda and S3.

Responsibilities

  • Design and manage cloud-based infrastructure using AWS.
  • Build and maintain ETL pipelines for educational data.

Skills

AWS (Amazon Web Services)
ETL Development
CI/CD Automation
Scripting (Python, Bash, Groovy, Node.js)
Infrastructure Security

Education

Bachelor's Degree in Computer Science
Associate's Degree in Information Systems

Tools

Jenkins
Docker
Kubernetes
CloudFormation
Terraform

Job description

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Data Recognition Corporation provided pay range

This range is provided by Data Recognition Corporation. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100,000.00/yr - $110,000.00/yr

Data Recognition Corporation

Company cannot provide sponsorship of any kind for this position

This is an employee role, not contract or consult

Please, no agencies or third parties

Job Title: DevOps / MLOps Engineer

DRC is seeking a data-savvy DevOps / MLOps (Machine Learning Ops) Engineer with demonstrated ability to contribute to the advancement of DRC's initiatives. This Engineer will lead DevOps efforts on a growing technology team and help build scalable, serverless, cloud-based systems that power education learning analytics. A successful candidate will have a strong background in cloud-native architecture, ETL development, and infrastructure automation. The ideal candidate will have 5+ years of experience in software engineering roles with a focus on Amazon Web Services (AWS), serverless computing, and CI/CD automation.

  • Design, implement, and manage cloud-based infrastructure using AWS, with a strong emphasis on serverless computing (such as Lambda, DynamoDB, S3).
  • Build and maintain robust ETL pipelines that support the ingestion, transformation, and delivery of educational assessment data in various formats.
  • Develop and manage CI/CD pipelines to support application deployment and automated testing (prefer Jenkins).
  • Collaborate with data scientists, psychometricians, and software engineers to support ML workflows and ensure scalable infrastructure for research and analytics.
  • Implement best practices for infrastructure security, monitoring, logging, and reliability.
  • Continuously evaluate and adopt new tools and frameworks to improve system performance and developer productivity.

Required Qualifications:

  • 5+ years of professional experience in DevOps, Cloud Engineering, or Software Development.
  • Advanced experience with Amazon Web Services (such as Lambda, S3, CloudFormation, ECS).
  • Proven expertise in building and maintaining ETL pipelines and data workflows.
  • Proficiency in scripting and automation using tools like Python, Bash, Groovy, or Node.js.
  • Experience with CI/CD tools (such as Jenkins, GitHub Actions, Azure DevOps) and infrastructure as code (such as CloudFormation, Terraform and Serverless).
  • Experience with monitoring and observability tools (such as CloudWatch).

Preferred Qualifications:

  • Exposure to MLOps Architecture
  • Experience with containers (Docker, Kubernetes)
  • Associate’s or Bachelor’s Degree in Computer Science, Information Systems, or related technical field.

DRC retains the right to change or assign other duties to this position

No Agencies, Please

Company cannot provide sponsorship for this position

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Education Management, IT System Custom Software Development, and Software Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Tuition assistance

Disability insurance

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