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Python Developer | SAAS - Enterprise Application Software

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Location: Chennai (On-site)
Employment Type: Full-time

About Inspira Software Services

Inspira Software Services Pvt. Ltd. is a 30-year-old enterprise software company specializing in business process automation. We are developing a new generation of AI-powered, cloud-native ERP and CRM systems for leading Indian enterprises and MNCs, handling millions of transactions monthly across manufacturing, engineering, and B2B distribution sectors.

Our Product Lines include:

  • Service & Sales CRM
  • ERP for Manufacturing and HVAC Services
  • Project Management & Workflow Automation
  • Mobile Applications for Field Teams
  • Sophisticated Algorithmic Stock & Options Trading Software

About the Role

We are looking for a skilled Python Developer to contribute to our enterprise product engineering team and participate in the development of sophisticated algorithmic stock & options trading software currently under development within our R&D division.
You will work on scalable back-end systems, APIs, and data pipelines that power Inspira’s ERP/CRM platforms as well as our new trading and analytics applications.

Key Responsibilities

  • Design, develop, and maintain scalable Python applications
  • Develop APIs, integrations, and business logic modules for ERP/CRM systems
  • Contribute to the design and development of algorithmic trading components—including market data ingestion, analytics, and trade automation
  • Collaborate with AI and DevOps teams on deployment and optimization
  • Write maintainable, modular code and ensure adherence to best practices
  • Conduct performance tuning and reliability improvements across applications
  • Maintain technical documentation and workflow descriptions

Required Qualifications

  • Bachelor’s degree in Computer Science or a quantitative discipline (Physics, Maths, Stats, Electronics, etc.)
  • 2–5 years of hands-on experience in Web based Python software development
  • Strong experience with Django, Flask, or FastAPI
  • Proficiency in REST APIs, PostgreSQL/MySQL
  • Good grasp of OOP, design patterns, and software architecture principles

Preferred Skills

  • Experience with data libraries (Pandas, NumPy) or ML frameworks (TensorFlow, PyTorch)
  • Basic understanding of financial data structures or market data APIs
  • Knowledge of statistical charts and analytics (e.g., moving averages, trend patterns, or technical indicators) would be an added advantage
  • Exposure to cloud technologies (AWS, Azure, GCP)
  • Familiarity with Docker, Kubernetes, and CI/CD workflows

Soft Skills

  • Analytical, detail-oriented, and quality-driven mindset
  • Strong teamwork and communication skills
  • Self-motivated learner with curiosity for financial technology

Compensation & Benefits

  • Monthly Pay: ₹35,000 – ₹65,000 (commensurate with experience & expertise)
  • Incentives: Performance-base
  • Allowances: Transport subsidy for deserving candidates
  • Perks: Food provided, paid time off, and career growth opportunities

How to Apply

If you’re passionate about developing scalable enterprise systems and excited to work on sophisticated algorithmic stock & options trading software, we’d love to hear from you.

Please apply for the position through Indeed job portal.

WhatsApp : +91 75968 00291

Location Type: On-site (Chennai)

Schedule: Day shift

Job Type: Full-time

Pay: ₹35,000.00 - ₹65,000.00 per month

Benefits:

  • Cell phone reimbursement
  • Food provided
  • Health insurance
  • Paid time off

Application Question(s):

  • What was your designation in the organisation you last served?
  • What was your last drawn take home salary per month?
  • Which is your current location (City)?
  • When you can start?

(Notice period in days required for joining)

  • What would be your preferred job location ?

Education:

  • Bachelor's (Preferred)

Experience:

  • Software Development: 2 years (Required)
  • Web based application development using Python: 2 years (Required)

Language:

  • English (Preferred)

Work Location: In person

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