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Senior Full Stack Engineer (Product)

Senior Full Stack Engineer (Product)

withRemoteBellary, IN
2 days ago
Job description

Employment Details :

  • Type : Full-time (outcome-focused, GSD mindset)
  • Shift : US shift (7 : 00 PM – 6 : 00 AM IST)
  • Location : Remote (India)
  • Compensation : INR 36-60 LPA
  • Start Date : Immediate

About Us : We are a two-time IPO founding team building the next big thing in CRM—a highly intelligent, AI-driven contact manager and productivity tool designed for sales and relationship professionals. Our product is near completion, and we’re now seeking top-tier senior full-stack engineers to bring it across the finish line and make it live.

Role Overview : As a Senior Full Stack Engineer, you will own critical product features end-to-end, work closely with our founding team, and ensure a seamless launch. You are a product ownership fanatic with a bias for action—someone who can get shit done. You’ll architect, build, and maintain scalable systems on AWS, design intuitive front-end experiences in React, and implement robust back-end services in Python and JavaScript. You will also leverage GPT and other AI models to power our prompt-engineering features.

As a Senior Full Stack Engineer, you will own critical product features end-to-end, work closely with our founding team, and ensure a seamless launch. You’ll architect, build, and maintain scalable systems on AWS, design intuitive front-end experiences in React, and implement robust back-end services in Python and JavaScript. You will also leverage GPT and other AI models to power our prompt-engineering features.

Key Responsibilities :

  • Product Ownership & Delivery : Take product from near-completion to production launch. Responsible for reliability, performance, and security.
  • Front-end Development : Build and optimize interactive UIs in React. Collaborate on design, ensure responsiveness, and implement best practices.
  • Back-end Development : Design and develop RESTful APIs and services in Python (Django / Flask or equivalent) and JavaScript (Node.js). Ensure clean architecture and maintainable code.
  • AWS & DevOps : Architect, deploy, and monitor infrastructure on AWS (EC2, ECS / EKS, Lambda, RDS, S3, CloudWatch). Implement CI / CD pipelines for continuous delivery.
  • AI Prompt Engineering : Integrate GPT / Perp models for advanced AI-driven features, fine-tune prompts, and optimize model performance.
  • Collaboration & Mentorship : Work closely with founders, product managers, and QA teams to define technical requirements. Mentor junior engineers and drive code quality.
  • Must-Have Qualifications :

  • Product ownership fanatic with a bias for action—proven ability to execute and deliver under tight deadlines.
  • 3–10 years of professional experience in full-stack development.
  • Proven track record delivering production-grade SaaS products, ideally in CRM, productivity, or sales domains.
  • Strong proficiency in React and modern JavaScript / TypeScript.
  • Deep experience with Python frameworks (Django, Flask, FastAPI) and JavaScript back-ends (Node.js, Express).
  • Hands-on expertise with AWS services and DevOps best practices (IaC, Docker, Kubernetes, CI / CD).
  • Experience integrating and fine-tuning GPT-like models or similar AI / NLP solutions. - Excellent problem-solving skills and attention to detail.
  • Strong verbal and written English communication.
  • 3–10 years of professional experience in full-stack development.
  • Proven track record delivering production-grade SaaS products, ideally in CRM, productivity, or sales domains.
  • Strong proficiency in React and modern JavaScript / TypeScript.
  • Deep experience with Python frameworks (Django, Flask, FastAPI) and JavaScript back-ends (Node.js, Express).
  • Hands-on expertise with AWS services and DevOps best practices (IaC, Docker, Kubernetes, CI / CD).
  • Experience integrating and fine-tuning GPT-like models or similar AI / NLP solutions.
  • Excellent problem-solving skills and attention to detail.
  • Strong verbal and written English communication.
  • Nice-to-Have :

  • Prior experience in CRM, contact management, or sales productivity tools.
  • Familiarity with GraphQL, Redis, and Elasticsearch.
  • Experience with data analytics or machine learning pipelines.
  • Screening Process :

  • Application Form : 5 minutes
  • Technical Assessment : 90 minutes
  • English Proficiency Test : 90 minutes
  • Technical Interview : 15 minutes
  • Founder / Client Interview : 30 minutes
  • Why Join Us?

  • Work directly with a 2x IPO founding team on a ground-breaking CRM platform.
  • High ownership and autonomy from day one
  • Fast-paced environment with clear impact on product success
  • Opportunity to shape the future of sales productivity with AI
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