Engineering Manager

Responsibilities:
Lead and deliver large-scale platform and product initiatives that impact millions of users.
Collaborate with product, design, and business teams to translate complex business problems into scalable technical solutions.
Guide the team in adopting AI/ML models and frameworks, exploring their application in personalization, credit risk, fraud detection, or smart recommendations.
Review architecture, suggest best practices, and ensure resilient, performant, and secure code.
Perform technical mentorship and code reviews to build a culture of engineering excellence.
Take ownership of system design and architecture for key services.
Set up and maintain CI/CD pipelines and contribute towards infrastructure decisions.
Ensure rigorous security and data protection practices in collaboration with DevSecOps.
Stay ahead of the curve by continuously evaluating and integrating new tools, trends, and AI technologies.
Requirements:
8+ years of experience in backend/frontend engineering roles with at least 2+ years in tech leadership or architect roles.
Proven track record of leading engineering teams on complex projects from idea to production.
Strong coding skills in Node.js, Python, JavaScript, and proficiency in web frameworks.
Comfortable with cron jobs, RESTful APIs, containerization (Docker/Kubernetes), and GCP/AWS.
Experience with RDBMS and NoSQL databases like MySQL, MongoDB, Redis, and Elasticsearch.
Familiarity with modern frontend practices using HTML, CSS, JS, and build tools like Webpack, NPM.
Solid grasp of Git and code lifecycle workflows. Exposure to or working knowledge of AI/ML concepts, such as: Personalization engines, Predictive modeling (risk/fraud), NLP (chatbots, document classification, and extraction).
Working with APIs from platforms like OpenAI, Gemini, and Anthropic.
Working with libraries like HuggingFace, Langchain, or Vertex AI.

Experience
10-14 yrs