Engineering Manager

Role: Engineering Manager – Fintech & AI Platforms

Location: Bengaluru

About the Role

We are building a large-scale, AI-driven fintech platform that simplifies how users manage credit, payments, and financial decisions. The platform operates at high transaction volumes and serves millions of users, requiring strong engineering foundations, high availability, and intelligent automation.

As an Engineering Manager , you will lead teams building mission-critical fintech systems , including payment workflows, credit intelligence, risk engines, and AI-powered user experiences. You will balance hands-on technical leadership with people management, system design, and execution ownership.

Engineering Team

The engineering team builds zero-to-one and at-scale fintech products , owning microservices, data platforms, and AI-enabled services end-to-end. Engineers work closely with product, risk, design, and business teams to deliver secure, compliant, and highly reliable systems that directly impact financial outcomes for users.

Key Responsibilities

Technical & Platform Leadership

• Lead and deliver large-scale fintech platform initiatives impacting millions of users and high-value transactions.
• Own system design and architecture for payments, credit workflows, risk/fraud systems, and AI-enabled services .
• Review and guide architecture decisions to ensure scalability, fault tolerance, security, and performance .

AI / ML Enablement

• Guide teams in adopting AI/ML models and frameworks for use cases such as:
• Credit risk assessment and underwriting
• Fraud detection and anomaly detection
• Personalization and intelligent recommendations
• Conversational AI and NLP-based experiences
• Enable integration with AI platforms and APIs (e.g., OpenAI, Gemini, Anthropic) while ensuring reliability, cost control, and guardrails.

Engineering Execution

• Collaborate with product, design, risk, and business stakeholders to translate complex fintech requirements into scalable technical solutions.
• Set engineering standards for code quality, testing, observability, and CI/CD pipelines .
• Ensure strong data security, privacy, and compliance practices in partnership with DevSecOps.

People & Culture

• Mentor engineers through code reviews, architecture discussions, and technical coaching.
• Build a culture of engineering excellence, ownership, and continuous learning .
• Lead hiring, performance management, and career development for team members.

What You’ll Need

Experience

• 8+ years of experience in backend/frontend engineering roles, preferably in fintech, payments, banking, or high-scale consumer platforms .
• 2+ years of experience in engineering management, tech lead, or architect roles .
• Proven experience leading teams delivering production-grade, high-availability systems .

Technical Expertise

• Strong coding skills in Node.js, Python, JavaScript , and modern web frameworks.
• Hands-on experience with RESTful APIs , distributed systems, and asynchronous processing.
• Experience with containerization and orchestration (Docker, Kubernetes).
• Strong knowledge of cloud platforms (AWS or GCP).
• Experience with RDBMS and NoSQL databases such as MySQL, MongoDB, Redis, and Elasticsearch.
• Familiarity with modern frontend practices (HTML, CSS, JS, Webpack, NPM).
• Solid understanding of Git workflows and SDLC best practices .

AI / ML & Data (Preferred)

• Working knowledge of AI/ML concepts, including:
• Predictive modeling (credit risk, fraud detection)
• Personalization and recommendation systems
• NLP for chatbots, document extraction, and classification
• Experience integrating AI tools and frameworks such as HuggingFace, LangChain, or Vertex AI .
• Ability to collaborate effectively with data science and ML engineering teams.

Why This Role

• High ownership and autonomy in shaping fintech systems at scale.
• Opportunity to work at the intersection of finance, engineering, and AI .
• Fast-paced environment focused on real-world impact, innovation, and continuous growth.
• Exposure to large-scale data, payments, and AI-driven decision systems.

What You Will Not Get

• Monotonous work — problems are diverse and high-impact.
• Slow growth paths — advancement is driven by ownership and results.
• Excessive bureaucracy — speed and execution are core values.