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Salary
$30k – $80k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 8+ years exp
Overview
Company
Impact
Profile match
super.money is an all-in-one digital finance platform combining payments, credit, and investment features to offer UPI payments, cashback rewards, credit cards, personal loans, BNPL, and more for users.

We are seeking a highly technical, hands-on Full Stack Tech Lead who thrives in fuzzy, fast-paced environments. This role requires a unique blend of deep technical execution, architectural ownership, and initial people/stakeholder management exposure. You will divide your time between anchoring the tech strategy for our new Wealth Charter and leading the zero-to-one engineering execution for org-wide products.

Responsibilities:

  • Wealth Charter Ownership: Drive the architecture, design, and development of user interfaces and robust backend systems powering our new Wealth management ecosystem from scratch.
  • 0-1 Engineering Execution: Envision, architect, and build clean, scalable, and maintainable full-stack applications from scratch for greenfield and new organisational initiatives.
  • Hands-on Coding: Lead by example by writing clean, modular, and production-grade code while actively participating in code reviews and architecture design.
  • AI-Native Integration: Explore, adopt, and integrate AI-native technologies and workflows to enhance product features and optimise engineering velocity.
  • Technical Leadership and Mentorship: Lead multi-engineer projects, mentor junior engineers, set engineering best practices, and foster a culture of technical growth.
  • Stakeholder Management: Collaborate closely with Product Managers, Business Heads, and cross-functional teams to translate high-level business goals into robust technical requirements.

Requirements:

  • Experience: 8+ years of software development experience with a proven track record of building complex, data-driven systems with a basic app understanding.
  • Full Stack Mastery: Strong expertise in building end-to-end applications. Deep knowledge of modern frontend frameworks alongside powerful backend tech stacks.
  • AI-Native Inclination: Practical exposure to or strong technical familiarity with AI models, LLM integrations, or building AI-assisted application workflows is highly preferred.
  • System Design and Architecture: Strong object-oriented design skills, deep understanding of distributed systems, design patterns, and class-level interfaces.
  • Operational Excellence: Comprehensive experience with project lifecycles, CI/CD pipelines, automated testing, infrastructure metrics, and tuning high-performance servers.
  • Leadership Blend: Prior experience leading engineering tracks, managing deliverables, and interacting with cross-functional stakeholders.
  • Education: BTech, MTech, or PhD in Computer Science or a related technical discipline, or equivalent rich technical experience with high technical acumen.
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