Scientific Software Engineering
Software EngineerSoftware Engineering
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Quick Summary
Overview
This role is for one of Weekday’s clients Min Experience: 5+ yearsLocation: Delhi,
Technical Tools
Software EngineerSoftware Engineering
Requirements
~1 min read- Approximately 5–10 years of relevant professional experience in scientific software engineering, applied data science, or computational application development.
- Master's degree in Computer Science, Software Engineering, Computer Engineering, or a related discipline.
- Experience developing software applications for scientific or environmental analysis is preferred.
- Strong scientific software engineering skills, including the ability to translate scientific, engineering, and economic models into modular applications.
- Experience in graphical user interface (GUI) development, particularly interactive web-based applications and dashboards.
- Backend development experience, including API development and computational model integration.
- Understanding of model execution, data processing, and analytical workflows.
- Experience managing and integrating structured and unstructured datasets from multiple sources.
- Familiarity with relational or geospatial databases.
- Ability to develop secure, scalable, modular, and maintainable software architectures.
Responsibilities
~1 min read- Translate scientific, engineering, and economic models into modular, reusable, and maintainable software applications.
- Develop software solutions that support scientific analysis, computational modelling, and data-driven decision-making.
- Design scalable application architectures that allow analytical models to operate independently of graphical user interfaces.
- Ensure the underlying models and software components remain secure, reliable, and maintainable.
- Design and develop intuitive, interactive, web-based applications and graphical user interfaces.
- Build dashboards, data visualisations, and analytical tools that enable users to interact with complex models and datasets.
- Create user-friendly interfaces that simplify technical outputs and support effective decision-making.
- Ensure applications are accessible, responsive, and suitable for different user requirements.
- Integrate scientific and computational models with application backends and computational engines.
- Develop APIs and application interfaces to manage model execution, data processing, and analytical workflows.
- Build robust backend services that support efficient communication between analytical models, databases, and user interfaces.
- Ensure reliable execution and integration of computational workflows.
- Manage structured and unstructured datasets from multiple sources.
- Integrate and process data to support scientific analysis and analytical applications.
- Work with relational and geospatial databases to organise and manage complex datasets.
- Support data processing and integration workflows across application components.
- Develop and deploy interactive, GUI-based decision-support applications and scientific software platforms.
- Build analytical dashboards, visualisation tools, and automated reporting solutions.
- Collaborate with scientific, engineering, and domain experts to translate analytical requirements into functional software.
- Deliver end-to-end applications that connect computational models with intuitive user interfaces.
- Experience developing web-based scientific applications.
- Backend application development.
- Development of interactive dashboards, analytical platforms, and automated reporting tools.
- Familiarity with SQL, APIs, and cloud-based data processing.
- Experience building decision-support tools for industry, government, or research institutions.
- Exposure to applied scientific software engineering and computational-modelling assignments.
Location & Eligibility
Where is the job
Delhi, India
On-site at the office
About this job
- Posted
- Today
Listing Details
- Posted
- November 11, 2026
- First seen
- November 11, 2026
- Last seen
- November 11, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 60%
- Scored at
- November 11, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
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