Senior Software Engineer Technical Lead

7 hours ago


Bangalore Division, India MarketsandMarkets Full time

Why Join Us At Markets&Markets product team, we are building AI agents that will be the copilot of every enterprise function like sales, marketing, founder's office/strategy teams etc. Join a mission-driven product company building intelligent, real-world solutions for driving growth and revenue for Fortune 2000 companies. If you are a builder with high ownership mindset and looking to work with an enterprising team, join us What are we looking for ? We are looking for a Senior Software Engineer / Tech Lead to join our fast-growing engineering team in Bangalore. This is a high-impact role for someone who thrives in a product company environment, enjoys solving complex problems, and can deliver secure, scalable, and AI enabled systems — fast. You’ll work across the stack with ReactJS, Python, and MongoDB, integrating AI models or APIs where it drives real value. You bring a delivery-first mindset, care deeply about performance, scalability, and security, and are passionate about building high-quality production code that moves the needle for the business. Responsibilities · Build and ship end-to-end features using React (frontend), Python (backend APIs), and MongoDB (data layer). · Contribute to architectural decisions, system design, and product shaping discussions. · Integrate AI/ML models or LLM APIs into real-world product workflows. · Deliver clean, maintainable, production-ready code — fast. · Collaborate with product managers, designers, and other engineers to iterate quickly and smartly. · Own your work with pride and push for continuous improvement in code quality and delivery velocity. Qualifications · 4–10 years of experience in software development at product companies (mandatory). · Strong proficiency in: * ReactJS (modern component patterns, performance tuning) * Python (FastAPI, Flask, Django) * MongoDB (schema design, indexing, performance optimization)· Hands-on experience in building and maintaining production systems with real users. · Familiarity with AI/ML APIs, LLMs, or intelligent feature integrations is a strong plus. · Experience working with cloud-native architectures (AWS/GCP), containerization (Docker), and CI/CD pipelines.



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