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Aquent Logo Aquent · IT - Software Development

Senior Python Cloud Engineer

United States 57.00 - 63.33 USD / Hour · Job Posted March 03, 2026
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Job Description

We are seeking a Senior Software Engineer with strong cloud architecture expertise to join a global advanced analytics and AI/ML engineering team. This role sits at the intersection of software engineering and cloud solution design, focused on building scalable machine learning and advanced analytics platforms that directly impact business decision-making. This is an ideal opportunity for someone who thrives in a collaborative, intellectually curious environment and enjoys solving complex problems at scale.

Job Responsibility

  • Design and implement scalable, production-grade applications in Python
  • Architect and deploy solutions in Amazon Web Services (AWS)
  • Build advanced analytics and machine learning platforms supporting prediction and optimization models
  • Develop distributed data processing solutions using technologies such as Spark and EMR
  • Contribute to cloud-native architecture using Docker, Kubernetes, and modern DevOps practices
  • Partner cross-functionally with Product, Architecture, and Analytics teams
  • Participate in Agile/Scrum ceremonies and contribute to a strong engineering culture
  • Mentor team members and promote engineering best practices, including test-driven development

Requirements

  • 5+ years of professional experience in software engineering, cloud engineering, data engineering, or machine learning
  • Strong ability to write robust, maintainable, and extensible Python code
  • Hands-on experience designing cloud architectures in AWS
  • Deep understanding of algorithms, data structures, and software architecture principles
  • Experience with databases such as Postgres or Redis
  • Experience with data processing technologies such as Spark or EMR
  • Familiarity with containerization and orchestration (Docker, Kubernetes)
  • Experience working in Agile product environments
  • Excellent communication skills — comfortable collaborating with technical and non-technical stakeholders

Nice to have

  • Experience with SageMaker or Databricks
  • Experience building or supporting ML platforms at scale

What we offer

  • Fully remote opportunity
  • Work on high-impact machine learning and advanced analytics initiatives
  • Join a globally distributed engineering team
  • Opportunity to influence architecture and engineering best practices
  • High visibility role with meaningful business impact
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