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Gis Developer

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Hybrid

Gis Developer

nxzen(India)

Gis Developer

Skills

Google Cloud PlatformTypescriptPythonGitAWSGDPRJavascriptAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

17 August 2026

What they need


Geospatial Developer

Company

nxzen global

Work Location

First Floor, Lexington Towers, S.G. Palya, Bengaluru, Karnataka 560029

Work Mode

Hybrid (3 Days Work from Office & 2 Days Work from Home)

Working Hours

Flexible Timings

Employment Type

Full-Time | Permanent

Experience

4 to 10 Years

About nxzen global

nxzen global is a global consulting, engineering, and digital technology company delivering innovative solutions for the Energy, Utilities, and Infrastructure sectors. We specialize in Enterprise GIS, Geospatial Engineering, Cloud Technologies, Data Engineering, and Digital Transformation, helping clients build secure, scalable, and intelligent geospatial platforms.

Geospatial Developer Job Description

About the Role

We are looking for a skilled Geospatial Developer to join nxzen global. In this role, you will design, develop, and maintain scalable geospatial applications, APIs, and data pipelines that support business-critical GIS solutions. You will collaborate with cross-functional teams to deliver secure, reliable, and high-performing geospatial services while contributing to engineering best practices and continuous improvement.

Key Responsibilities

  1. Application & Service Development
  • Design, develop, enhance, and maintain geospatial applications, APIs, and service components.
  • Deliver end-to-end features, including implementation, testing, deployment, and ongoing maintenance.
  • Apply secure-by-design principles when developing and configuring services and integrations.
  • Optimize application performance, scalability, availability, and reliability.
  1. Data Pipelines & Automation
  • Build and maintain ETL pipelines for spatial and non-spatial data processing.
  • Implement data validation, schema transformations, and robust error-handling mechanisms.
  • Automate data processing and system integration workflows using established engineering practices.
  • Continuously improve data pipeline performance, scalability, and reliability.
  1. CI/CD & Engineering Practices
  • Contribute to CI/CD pipelines for automated build, testing, and deployment processes.
  • Develop unit, integration, and regression tests to improve software quality and reduce defects.
  • Support environment promotion and ensure consistent releases across development, testing, and production environments.
  1. Observability, Security & Reliability
  • Implement structured logging, monitoring, health checks, and performance tracking for applications and data pipelines.
  • Build dashboards to monitor application health, availability, and operational metrics.
  • Apply security best practices, including authentication, authorization, secure configuration, and data protection.
  • Support incident investigation and root cause analysis through effective monitoring and traceability.
  1. Documentation & Governance
  • Create and maintain comprehensive technical documentation for applications, services, APIs, and data pipelines.
  • Follow coding standards, naming conventions, version control, and repository best practices.
  • Develop reusable components, templates, libraries, and documentation to improve team efficiency.
  1. Collaboration & Continuous Improvement
  • Participate in code reviews, architecture discussions, and technical design sessions.
  • Identify opportunities to improve applications, automation, development processes, and engineering practices.
  • Share technical knowledge and best practices to promote consistency and collaboration across the team.

Required Skills & Experience

  • Hands-on experience developing production-grade applications, APIs, or backend services.
  • Good understanding of spatial data formats, GIS platforms, and spatial databases.
  • Strong programming skills in Python, JavaScript/TypeScript, or similar programming languages.
  • Experience building and maintaining ETL pipelines and data processing workflows.
  • Experience working with RESTful APIs and application integrations.
  • Understanding of authentication, authorization, secure configuration, and access control.
  • Experience with logging, monitoring, debugging, and troubleshooting distributed systems.
  • Ability to work independently with minimal supervision.
  • Strong analytical, problem-solving, and software engineering skills with a focus on maintainable code.

Preferred Skills

  • Experience in Utilities, Energy, Infrastructure, or Asset Management domains.
  • Experience developing GIS-enabled or geospatial applications.
  • Hands-on experience with CI/CD tools and DevOps practices.
  • Exposure to cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP).
  • Experience creating operational dashboards and monitoring solutions.
  • Familiarity with open-source geospatial tools and Python GIS libraries.

Why Join Us?

  • Hybrid work model
  • Flexible working hours
  • Opportunity to work with global teams
  • Exposure to Enterprise GIS and Cloud technologies
  • Work on large-scale utility and infrastructure transformation projects
  • Career growth in modern geospatial technologies

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