Senior Geospatial Java Developer – Cloud GIS & Data Analysis

Luxoft

Poland

On-site

PLN 180,000 - 300,000

Full time

33 hours ago
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Benefits offered by this job

Private medical care
Dental care
Life Insurance covered
Internal Mobility program

Job summary

Luxoft Poland is seeking a senior software engineer to join a cloud/on-prem GIS data interpretation platform for the energy sector, collaborating with geophysicists, data scientists and software engineers. The role emphasizes ESRI ArcGIS Runtime integration, robust architecture, and agile delivery within a TEAM that engages with a Houston customer.

The project uses SCRUM, microservices, and GPU/cloud computing to support geological data interpretation and visualization.

Qualifications

  • 5–10 years of experience in software development.
  • Experience with ESRI ArcGIS Runtime and ESRI services.
  • Ability to translate scientific domain requirements into robust software solutions.

Responsibilities

  • Collaborate with geophysicists, data scientists, and software engineers to translate requirements into software solutions.
  • Design, develop, and maintain high-performance applications for geophysical/data analysis and visualization.
  • Present architectural designs to the architecture review board and plan implementation roadmaps.
  • Implement and optimize computation algorithms and develop cloud/on-prem solutions.
  • Lead testing, code reviews, security hardening, and CI processes.

Skills

Geophysical software development
ESRI ArcGIS Runtime
ESRI Services and Authentication

Education

Bachelor's degree in Computer Science or related field

Tools

CI/CD pipelines

Job description

Luxoft Poland is seeking a senior software engineer to join a cloud/on-prem GIS data interpretation platform for the energy sector, collaborating with geophysicists, data scientists and software engineers. The role emphasizes ESRI ArcGIS Runtime integration, robust architecture, and agile delivery within a TEAM that engages with a Houston customer.

The project uses SCRUM, microservices, and GPU/cloud computing to support geological data interpretation and visualization.

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