Tech Architect

Role Overview

The Tech Architect / Principal Engineer will own the end-to-end technical architecture and engineering roadmap for BotPenguin, a high-scale SaaS AI chatbot platform. The role requires deep expertise in full-stack development, scalable systems design, cloud infrastructure, DevOps, AI integrations, and product engineering for large user bases. This position is hands-on and strategic, requiring collaboration with Product, Engineering, and Leadership teams.

Key Responsibilities

• Architecture & System Design
• Define, design, and implement scalable, secure, and resilient architecture for a multi-tenant SaaS platform.
• Lead microservices design, data architecture, and API frameworks.
• Drive modernization, refactoring, and performance optimization.
• Product Engineering & Delivery
• Own the technical roadmap for the chatbot platform including new features, AI/LLM integrations, automation workflows, and analytics capabilities.
• Ensure high availability, low latency, and seamless user experience across web, mobile, and integrations.
• Technical Leadership
• Lead and mentor engineering teams across MERN/MEAN stack, DevOps, and backend services.
• Enforce coding standards, best practices, and system observability.
• DevOps & Infrastructure
• Architect and optimize CI/CD pipelines.
• Manage application deployment using Docker, Kubernetes (if required), and AWS cloud-native services.
• Own uptime, scalability, monitoring, logging, and incident response.
• AI & Chatbot Systems
• Work with LLMs, NLP models, vector databases, and conversational AI systems.
• Integrate third-party AI APIs and build in-house AI microservices.
• Oversee AI workflows, training pipelines, and conversational intelligence.
• Security & Compliance
• Implement industry-standard security frameworks across the stack.
• Ensure data privacy, encryption, access control, and vulnerability management.
• Cross-Functional Collaboration
• Work closely with Product Management to convert business needs into technical solutions.
• Partner with QA, UI/UX, and Customer Success to deliver a seamless release cycle.

Technical Experience

• 10–14 years of total software engineering experience.
• Minimum 3+ years as Architect / Principal Engineer in a SaaS or large-scale product environment.
• Strong expertise with MEAN/MERN stack — Node.js, Express.js, React/Angular, MongoDB.
• Expert-level backend engineering with microservices, asynchronous systems, and distributed architecture.
• Hands-on experience designing multi-tenant SaaS platforms.
• Strong experience with AWS services: EC2, Lambda, S3, RDS, DynamoDB, Elastic Beanstalk, CloudWatch, IAM.
• Proficiency in DevOps tooling: Docker, CI/CD pipelines, GitLab/GitHub, Jenkins, artifact management.
• Experience with infrastructure-as-code (Terraform or CloudFormation preferred).
• Deep knowledge of caching and queues: Redis, SQS, Kafka, RabbitMQ.
• Experience building scalable, low-latency systems and optimizing performance.
• Strong debugging & observability skills: logs, metrics, tracing, monitoring setups.

AI / LLM / Chatbot Experience

• Experience working with LLMs such as OpenAI, Claude, Llama.
• Familiarity with NLP pipelines, embeddings, and conversational AI systems.
• Knowledge of vector databases (Elastic, Pinecone, Weaviate, etc.).
• Ability to design or integrate AI microservices and training workflows.

Frontend & Mobile

• Exposure to React, Angular, HTML/CSS/Tailwind.
• Understanding of React Native app integrations (bonus).

Preferred (Nice to Have)

• Kubernetes experience.
• Familiarity with ElasticSearch, Redis Streams, and API gateways.
• Experience working with real-time systems (WebSockets, event-driven architecture).

Soft Skills

• Strong ownership mindset with product-first thinking.
• Ability to mentor and guide engineering teams.
• Excellent communication, problem-solving, documentation skills.
• Ability to work in a fast-paced, iterative startup environment.

Education (Optional)

• B.Tech/M.Tech in Computer Science or a related field (preferred, not mandatory).

Preferred

• Experience in Kubernetes.
• Experience with Redis, ElasticSearch, and API gateways.
• Familiarity with WebSockets, real-time systems, and event-driven architecture.

Soft Skills

• Strong ownership mindset with product-first thinking.
• Ability to mentor teams and build engineering culture.
• Excellent analytical, documentation, and cross-functional communication skills.
• Problem-solving attitude and ability to work in a fast-paced environment.
• Education
• B.Tech/M.Tech in Computer Science or relevant field (preferred but not mandatory).

Top Reasons to work with us

• Be part of a cutting-edge AI startup driving innovation in chatbot automation.
• Work with a passionate and talented team that values knowledge-sharing and problem-solving.
• Growth-oriented environment with ample learning opportunities.
• Exposure to top-tier global clients and projects with real-world impact.
• Flexible work hours and an emphasis on work-life balance.
• A culture that fosters creativity, ownership, and collaboration.

Job Type: Full-time

Pay: ₹1,200,000.00 - ₹2,400,000.00 per year

Benefits:

• Health insurance
• Provident Fund

Work Location: In person