Qureos

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Lead Backend Engineer

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As a Lead Backend Engineer you will:

  • Architect, develop, and maintain backend components for our Risk Decisioning Platform.
  • Build and orchestrate scalable backend services that automate, optimize, and monitor high-value credit and risk decisions in real time.
  • Integrate with ORM layers - such as SQLAlchemy - and multi RDBMS solutions Postgres, MySQL, Oracle, MSSQL, etc) to ensure data integrity, scalability, and compliance.
  • Collaborate closely with Product Team, Data Scientists, QA Teams to create extensible
  • APIs, workflow automation, and AI governance features.
  • Architect workflows for privacy, auditability, versioned traceability, and role-based access control, ensuring adherence to regulatory frameworks.
  • Take ownership from requirements to deployment, seeing your code deliver real impact in the lives of customers and end users.

Technical Skills

  • Languages: Python 3.9+, SQL, JavaScript/TypeScript, Angular
  • Frameworks: Flask, SQLAlchemy, Celery, Marshmallow, Apache Spark
  • Databases: PostgreSQL, Oracle, SQL Server, Redis
  • Tools: pytest, Docker, Git, Nx
  • Cloud: Experience with AWS, Azure, or GCP preferred
  • Monitoring: Familiarity with OpenTelemetry and logging frameworks

What Were Looking For

  • Proficiency in Python, SQLAlchemy (or similar ORM, and SQL databases.)
  • Experience developing and maintaining scalable backend services, including API, data orchestration, ML workflows, and workflow automation.
  • Solid understanding of data modeling, distributed systems, and backend architecture for regulated environments.
  • Curiosity and drive to work at the intersection of AI/ML, fintech, and regulatory technology.
  • Experience mentoring and guiding junior developers. Ready to build backends that shape the future of decision intelligence and responsible AI?

Interview process

  • R1: Hackerrank (coding round)
  • R2: Technical Discussion (based on the JD)
  • R3: Architectural and system design
  • Final round: Managerial + Tech

Job Type: Full-time

Pay: ₹4,000,000.00 - ₹6,000,000.00 per year

Benefits:

  • Flexible schedule
  • Health insurance
  • Paid sick time
  • Provident Fund

Work Location: In person

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