Sr Software Engineer - Industrial Systems & Decision Intelligence

Job Type: Permanent employee

Languages: English

Job Summary

You design and build scalable systems that structure industrial complexity. This means:

Your work directly influences how large industrial organizations manage risk, cost, and performance.

Responsibilities

• Translating consulting logic into robust software architecture

• Designing backend and data structures that reflect real-world engineering processes

• Building reliable, scalable applications used in enterprise environments

• Contributing to long-term product architecture decisions

• Design and implement scalable backend architectures

• Develop robust APIs and data models for complex enterprise use cases

• Contribute to system architecture and technical roadmaps

• Ensure high standards in code quality, testing, and documentation

• Collaborate closely with consultants, domain experts, and product stakeholders

• Support deployment, monitoring, and continuous improvement processes

• Take technical ownership of product modules

• Mentor junior developers

• Drive architectural decisions

  Working Model

• Based in Pune, India

• Close collaboration with consulting and domain teams

• Long-term product focus (not short-term feature hacking)

• Enterprise-oriented environment

  Qualifications

• 5+ years of professional software engineering experience

• Experience in building scalable backend systems

• Experience working in structured, quality-driven environments

  Skills

• Strong backend development skills (e.g., Node.js, Python, PHP, or comparable stack)

• Experience with modern API design

• Solid database knowledge (SQL and data modeling for complex structures)

• Familiarity with cloud environments and deployment processes

• Experience with version control and collaborative workflows

• You think in systems, not features

• You value clean architecture over quick hacks

• You understand enterprise requirements (security, reliability, scalability)

• You are comfortable working at the interface of technology and domain logic

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