Software Engineer

Seeking a Full Stack Software Engineer for a fintech platform in Bengaluru!

Job Responsibilities

Architecture & System Design

● Technical Design & Documentation: Draft technical design documents, maintain architecture decision matrices, and continuously update the end-to-end platform architecture map.

● High Availability & Resilience: Design robust failure and recovery mechanisms to ensure platform stability, fault tolerance, and zero downtime.

● Observability: Architect and implement multi-layered observability across applications, databases, infrastructure, and third-party integrations.

Hands-On Execution & AI Integration

● Full-Stack Development: Write clean, maintainable, high-performance code across the entire stack using modern frameworks and microservice architecture.

● Practical AI Engineering: Integrate AI capabilities, LLMs, and intelligent workflows

into core business applications rather than building isolated GenAI experiments.

● Product & Engineering Bridge: Collaborate with product managers to evaluate feature feasibility, refine user flows, and translate functional requirements into scalable technical implementations.

Technical Leadership & Mentorship

● Growth & Mentorship: Act as a technical anchor for the team—conducting thorough code reviews, pair programming, and mentoring junior/mid-level engineers.

● Leadership Trajectory: Serve as the primary technical voice on projects, balancing technical debt with rapid execution, and stepping into lead engineer duties when coordinating cross-functional technical initiatives.

● Executive & Stakeholder Alignment: Help communicate trade-offs, timelines, risks, technical constraints, and dependencies to business and product stakeholders in clear, non-technical language.

Quality, DevOps & Operations

● Best Practices & SOPs: Define and enforce engineering, coding, testing, and

documentation best practices across the team.

● CI/CD & Infrastructure: Design and maintain continuous integration and build/deployment pipelines. Work with cloud infrastructure (AWS) to optimise system performance and manage resource utilisation.

● Production Ownership & FinOps: Own production issue resolution, maintain release stability, uphold strict SLAs, and collaborate on operational frameworks such as FinOps (including monitoring AI runtime/cloud infrastructure costs).

Job Requirements

● Experience: 4 to 8 years of core software engineering experience, with a proven track record of designing, building, and running production systems at scale.

● Full-Stack Mastery: Exceptional proficiency in Node.js, Python, Next.js, MongoDB, RESTful Services, microservices, and API design/integration.

● Cloud & DevOps: Strong hands-on experience with AWS Cloud services, containerization, and automated CI/CD build pipelines.

● AI Ecosystem: Solid understanding of AI engineering principles, specifically integrating LLMs and AI services into end-to-end software applications.

● Security & Privacy: Deep understanding of data privacy rules, application security best practices, and secure coding standards.

● Leadership Potential: Demonstrated capability or strong desire to lead technical initiatives, drive architecture strategy, and step into a Lead Engineer role.