Job Description

Role Overview

The Tech Architect 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: ₹800,000.00 - ₹1,200,000.00 per year

Benefits:

Health insurance Provident Fund
Work Location: In person