Senior Backend Engineer - Data & AI Platforms

Grid Dynamics

United States

On-site

USD 120,000 - 160,000

Full time

22 hours ago
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Benefits offered by this job

Medical insurance
Vision coverage
Dental coverage
Flexible schedule
Professional development

Job summary

Grid Dynamics is seeking a Backend/Big Data Engineer to help modernize data platforms and build backend services for large-scale analytics and AI-driven applications. You will work with Java, AWS, Kubernetes, and cutting-edge Big Data technologies to design scalable data pipelines and robust APIs.

The role emphasizes practical implementation, CI/CD practices, and collaboration within a team of industry experts on high-impact projects. Onboarding occurs in person with travel as needed.

Qualifications

  • Strong proficiency in Java backend development with REST services and production troubleshooting.
  • Experience with Big Data analytics frameworks and data formats such as Iceberg or Lance.
  • Hands-on experience with AWS cloud services and Kubernetes.
  • Understanding of performance and scalability in distributed systems.
  • Ability to design robust API solutions and contribute to CI/CD pipelines.

Responsibilities

  • Participate in design and development of Big Data analytical applications.
  • Design, support and continuously enhance the project code base and CI pipelines.
  • Write complex ETL processes and frameworks for analytics and data management.
  • Collaborate with a team of experts to deploy solutions at massive scale.

Skills

Java backend development
REST services
production troubleshooting
distributed systems design
API design

Education

Bachelor's degree in Computer Science or similar field

Tools

Spark
Flink
Iceberg
Lance formats
Kubernetes
AWS

Job description

Grid Dynamics is seeking a Backend/Big Data Engineer to help modernize data platforms and build backend services for large-scale analytics and AI-driven applications. You will work with Java, AWS, Kubernetes, and cutting-edge Big Data technologies to design scalable data pipelines and robust APIs.

The role emphasizes practical implementation, CI/CD practices, and collaboration within a team of industry experts on high-impact projects. Onboarding occurs in person with travel as needed.

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