Senior Engineering Manager
๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฎ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฎ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฎ๐ฌ-๐ฎ๐ฑ ๐๐ฃ๐)
Experience: 8+ yrs
Location: Hyderabad, Telangana, India
Job Type: Full-time
We are seeking an experiencedย Technical Lead โ AI Platform Engineeringย 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 inย Python,ย Django,ย Django REST Framework (DRF),ย Celery, andย 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 implementingย Large Language Models (LLMs),ย 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.