Engineering Team Lead - Full Stack in Bangalore, भारत

About the Role : We are looking for a high-energy Engineering Team Lead to bridge the gap between complex system architecture and high-performing code. You won't just be managing people; you'll be the technical heartbeat of the team - designing scalable systems, streamlining our release cycles, and mentoring a talented group of developers to reach their full https://jobeax.com/link/FMTekGxt0Gl3Rx51 you thrive in a fast-paced environment and have a track record of delivering at least 3+ major projects from inception to deployment, we want to talk to https://jobeax.com/link/36VMSRBeaftrHJdU Responsibilities : - Technical Leadership : Lead the design and implementation of complex, scalable system architectures using the MEAN/MERN stack.- Team Management : Oversee a dedicated development team, conducting code reviews, providing technical mentorship, and fostering a culture of excellence.- DevOps & Infrastructure : Take ownership of CI/CD pipelines, managing infrastructure and ensuring seamless deployments to production.- Release Management : Drive the end-to-end release cycle, coordinating between stakeholders to ensure timely and high-quality delivery.- Hands-on Development : While this is a leadership role, you aren't afraid to dive into the code to solve critical bottlenecks or architectural https://jobeax.com/link/GdDiFyugfRanTDVh Requirements : - Experience : 5+ years of experience in professional software development, with at least 1 year in a leadership or senior capacity.- Full-Stack Mastery : Expert-level proficiency in PostgreSQL, MongoDB, https://jobeax.com/link/AfY7qZRjVtazPhHg, React/Angular, and Node.js.- Proven Track Record : Successful delivery of 3+ significant projects.- System Design : Deep understanding of distributed systems, database schema design, and API optimization.- AI Project Portfolio : Must have successfully delivered at least 3+ projects, with significant experience in AI/ML integration (e.g., RAG pipelines, LLM fine-tuning, or AI-driven analytics).- Infrastructure : Solid working knowledge of CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI) and cloud deployment environments. (ref:hirist.tech)