Architect - Java / Python / Node.JS / Golang

Description

We are seeking a highly skilled Architect / Associate Architect to lead the design, development, and governance of modern digital platforms. The ideal candidate must bring deep expertise in backend engineering, a strong understanding of frontend technologies, robust database fundamentals, and hands-on experience with cloud-native environments. The role demands strong technical leadership, the ability to mentor teams, define engineering standards, and drive end-to-end project execution.

Work Location : Trivandrum, Kerala

Responsibilities

Architect scalable, secure, and high-performance solutions across web and mobile ecosystems

Evaluate and select appropriate technology stacks for new projects

Translate business requirements into technical architectures, integration patterns, and implementation plans

Develop high-level and low-level design documents, system diagrams, and interface contracts

Provide accurate effort estimations, risk assessments, and feasibility insights

Ability to define clear API contracts and collaborate closely with frontend teams

Experience in designing efficient schemas, optimizing queries, and planning for database scalability

Define and enforce coding standards, best practices, and architectural guidelines across teams

Requirements

Hands-on development experience in at least one or two backend technologies such as Java / Node.js / Python / Golang

Expertise in building RESTful APIs, microservices, asynchronous processing, event-driven patterns, and distributed systems

Working knowledge of at least one frontend framework : React, Angular, or Vue

Strong experience with Relational Databases : PostgreSQL, MySQL, SQL Server

Good understanding of NoSQL technologies : MongoDB, DynamoDB, Redis, Cassandra, Elasticsearch, etc

Familiarity with at least one major cloud provider—AWS, Azure, or Google Cloud

Hands-on experience with cloud-native services (serverless, managed DBs, container services, queues, caching, etc.)

Strong understanding of CI / CD pipelines, automated deployments, monitoring, and observability

Experience with Docker, Kubernetes, and Infrastructure-as-Code (Terraform / CloudFormation) is a plus

Exposure to AI / LLM tools, prompt engineering concepts, and applied use of models in product engineering

Knowledge of AI-native patterns such as RAG pipelines, vector databases, embeddings, etc

Understanding of agentic frameworks : LangChain, LangGraph, LangFlow, OpenAI Agents, DeepAgent, etc