Engineering Manager

We are seeking a hands-on Engineering Manager to lead the design, development, and delivery of scalable AI-powered enterprise platforms and lending technology solutions. The ideal candidate combines strong software engineering fundamentals, system architecture expertise, and proven experience leading engineering teams. We particularly value candidates with an understanding of lending systems, credit workflows, or financial services technology. This is a high-ownership role where you will work closely with the leadership, product, and AI teams to build reliable, secure, and scalable products.

The candidate will have responsibilities across the following functions:

Technical Architecture and Development:

• Lead the architecture and development of scalable, modular, and high-performance enterprise applications.
• Design robust backend services, REST APIs, microservices, and event-driven systems.
• Build configurable, API-first platforms supporting complex business workflows.
• Ensure high standards of software design, code quality, scalability, security, and maintainability.
• Evaluate technologies and make pragmatic architectural decisions.

Engineering Leadership and Execution:

• Lead, mentor, and manage a team of software engineers.
• Drive engineering planning, sprint execution, technical reviews, and timely product delivery.
• Remain hands-on with architecture, critical code reviews, and complex technical challenges.
• Establish strong engineering practices covering testing, CI/CD, documentation, and release management.
• Take end-to-end ownership of engineering deliverables, quality, and production readiness.

AI Platform Engineering:

• Collaborate with AI/ML teams to integrate AI models and intelligent services into enterprise applications.
• Develop reliable APIs and orchestration mechanisms for AI-powered workflows.
• Design systems supporting asynchronous processing, data pipelines, and automation.
• Ensure AI services meet enterprise requirements for reliability, performance, scalability, and monitoring.
• Work on optimising system latency, resource utilisation, and operational efficiency.

Lending Technology and Enterprise Integrations:

• Contribute to the development of lending technology platforms and workflow-driven enterprise applications.
• Work on systems involving loan origination, customer onboarding, credit assessment, document processing, and approval workflows.
• Design secure integrations with enterprise applications, third-party services, and financial data providers.
• Build flexible and configurable solutions that support different institutional and business requirements.
• Ensure appropriate security, access controls, auditability, and data protection.

Platform Reliability and Engineering Excellence:

• Own technical quality, performance, availability, and maintainability of production systems.
• Drive improvements in automated testing, deployment pipelines, monitoring, and incident management.
• Identify and resolve architectural bottlenecks and technical debt.
• Build engineering processes that improve developer productivity and release predictability.

Requirements:

• 6-8 years of software engineering experience, including at least 2 years in a technical leadership or engineering management capacity.
• Strong hands-on experience in backend development using Python, Java, Node.js/TypeScript, or equivalent technologies.
• Strong knowledge of system design, microservices, REST APIs, distributed systems, and asynchronous processing.
• Experience with relational databases such as PostgreSQL/MySQL, caching, and messaging systems.
• Experience building and scaling enterprise SaaS platforms or complex business applications.
• Working knowledge of cloud platforms (AWS, Azure, or GCP), Docker, Kubernetes, and CI/CD.
• Experience leading engineering teams and delivering production-grade software.
• Strong analytical, problem-solving, communication, and stakeholder-management skills.

Preferred Qualifications:

• Experience in lending technology, fintech, banking, or BFSI software products.
• Understanding of Loan Origination Systems (LOS), Loan Management Systems (LMS), credit underwriting, or lending workflows.
• Familiarity with loan application processing, KYC, credit bureaus, financial data integration, and approval processes.
• Experience working with AI/ML-powered applications, LLM integrations, or intelligent automation platforms.
• Exposure to configurable workflow engines, business rules engines, or enterprise integration frameworks.
• Understanding of enterprise security, regulatory compliance, and data privacy requirements in financial services.
• Experience working in a product-based startup or fast-growing technology organisation.

Good to Have:

• Hands-on technical leader: Someone who can design systems, review code, and solve difficult engineering problems—not just manage timelines.
• Strong architectural thinking: Ability to build reusable, extensible systems rather than one-off solutions.
• Product mindset: Understands the business problem and makes sound engineering trade-offs.
• Ownership and execution: Comfortable taking responsibility from architecture through production delivery.
• Team builder: Can mentor engineers, establish engineering discipline, and create a culture of accountability.
• Lending domain awareness: Understands the complexity of financial workflows and can translate business requirements into robust software solutions.

Skills

AWS, Azure, Distributed Systems, Docker, GCP, Java, Kubernetes, Microservices, Node.js, Python, REST APIs, TypeScript