Senior Engineering Manager

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

Salary range: Rs 2000000 - Rs 3000000 (ie INR 20 - 30 LPA)

Experience: 8+ yrs

Location: Hyderabad, Telangana, India

Job Type: Full-time

We are seeking an experienced Technical Lead – AI Platform Engineering to drive the architecture, development, and evolution of a next-generation AI-powered enterprise platform. This role is ideal for a hands-on engineering leader who thrives in building scalable systems from the ground up while establishing technical standards, engineering best practices, and a strong development culture.

As a Technical Lead, you will work closely with leadership, product teams, and customers to design high-impact platform capabilities, including data integration, reconciliation engines, AI-powered services, and secure multi-tenant architectures. You will play a key role in defining system architecture, mentoring engineers, and delivering production-grade software that emphasizes reliability, scalability, security, and operational excellence.

Requirements

Key Responsibilities

• Design, develop, and maintain scalable backend platforms using Python, Django, Django REST Framework (DRF), Celery, and PostgreSQL.
• Architect robust data integration frameworks capable of handling multiple external systems, heterogeneous data sources, and evolving schemas.
• Build intelligent data reconciliation engines with strong validation, auditing, and exception-handling capabilities.
• Develop AI-powered services using Retrieval-Augmented Generation (RAG), explainable AI techniques, and reliable data-grounding approaches.
• Design secure multi-tenant architectures with strong data isolation, access control, audit trails, and security best practices.
• Build event-driven systems using asynchronous workflows, message queues, and modular service architectures.
• Define engineering standards for code quality, architecture, testing, documentation, and API design.
• Collaborate with product, engineering, and customer teams to translate business requirements into scalable technical solutions.
• Mentor engineers, conduct technical reviews, and foster a culture of continuous learning and engineering excellence.
• Evaluate and implement AI-assisted development practices while establishing governance and quality controls for AI-generated code.
• Continuously optimize platform performance, scalability, reliability, and operational efficiency.

What Makes You a Great Fit

• 8+ years of experience designing and building large-scale production software systems.
• Strong hands-on expertise in Python, Django, Django REST Framework (DRF), Celery, and PostgreSQL.
• Deep understanding of backend architecture, distributed systems, API development, and event-driven application design.
• Proven experience integrating complex external systems and managing large-scale data processing and reconciliation workflows.
• Practical experience implementing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI-powered enterprise applications.
• Strong knowledge of PostgreSQL optimization, multi-tenant architecture, Row-Level Security (RLS), and database performance tuning.
• Experience designing secure, scalable, and maintainable enterprise platforms with strong emphasis on reliability and auditability.
• Hands-on exposure to AI-assisted software development tools and modern engineering workflows.
• Excellent problem-solving, architectural decision-making, mentoring, and stakeholder communication skills.
• Experience with enterprise integrations, security standards, cloud-native architectures, or modern frontend technologies such as React or Next.js is an added advantage.