Engineering Manager

Original Post

**Engineering Manager** Location: Pune We are seeking a highly skilled and hands\-on Engineering Manager to lead and scale our engineering team. The ideal candidate will bring strong expertise in modern distributed systems, cloud\-native architectures, and AI\-driven platforms, including experience building LLM\-powered enterprise products. This role requires a leader who can drive architecture, design, and development, while mentoring engineers and ensuring delivery of high\-performance, production\-grade systems. Key Responsibilities **Lead and mentor a team of engineers while remaining hands\-on with architecture, system design, and development.** Architect and build scalable microservices\-based platforms and AI\-enabled enterprise products. **Design and deliver high\-performance, high\-availability systems capable of scaling to large workloads.** Drive development of AI\-powered applications including Agentic systems, LLMs, and RAG\-based solutions. **Collaborate with product and business teams to translate requirements into robust technical solutions.** Ensure delivery using Agile sprint processes and structured SDLC practices. **Establish engineering best practices around code quality, testing, architecture documentation, and observability.** Guide the team in adopting modern AI developer tools and automation to enhance productivity. **Drive architecture decisions for data pipelines, big data platforms, and distributed systems.** **Required Skills \& Qualifications Experience** 10 – 14 years of software development experience **3\+ years of Engineering Manager / Technical Leadership experience** Strong communication, stakeholder management, and presentation skills **Core Technology Stack** **Backend \& Frontend** **Strong hands\-on experience with:** **o Java** **o Node.js** **o React.js** **o TypeScript** **AI / LLM \& Agentic Systems Experience building AI\-powered enterprise systems, including:** Development of Agentic AI systems **Implementation of LLM\-based solutions** Development of RAG (Retrieval Augmented Generation) pipelines **Experience with frameworks and tools such as:** **o LangChain** **o LLaMA** **o YOLO** **o Roboflow** **o NeMo** Experience building production\-grade AI models and integrating them into enterprise platforms Data Engineering \& Big Data **Strong experience with:** **o Python** **o PySpark** **o Big Data ecosystems** **o Hadoop** Experience building large\-scale data processing pipelines and ML data workflows. Databases **Strong experience with:** **o PostgreSQL** **o MySQL** Knowledge of: o Database sharding o Query optimization o Large\-scale data storage strategies Distributed Systems \& Messaging Experience with event\-driven architecture and messaging platforms: **Kafka** Redis **RabbitMQ** **DevOps \& Cloud** **Hands\-on experience with cloud\-native infrastructure:** Docker **Kubernetes** Nginx **AWS** GCP Development Practices **Strong experience working with Microservices architecture** Experience delivering high\-scale, production\-grade enterprise systems **Experience with Agile development methodologies** Familiarity with full SDLC processes, including: o Functional specifications o Architecture documentation o Design specifications o Unit testing o Performance optimization AI Developer Productivity Tools Experience leveraging modern development tools such as: **ChatGPT** Cursor **Other AI\-assisted development tools** **Preferred Qualifications** Experience building AI\-driven SaaS platform. * Prior experience scaling engineering teams and distributed systems * Strong knowledge of system reliability, scalability, and observability * Experience integrating AI/ML models into real\-time production systems Pay: Up to ₹3,500,000\.00 per year Work Location: In person