Architect - R01571617

Brillio 2
Bangalore +1 more
On-site

Who this role is best for

Experienced software architects with AI-first product design and MERN stack expertise will find this role challenging but rewarding, particularly in the context of cloud-native development on Microsoft Azure and distributed system orchestration.

Best fit for

  • Candidates with 10+ years of experience in fullstack development and AI architecture are ideal for this role.
    — “10 years of experience, including substantial expertise in architecting MERN fullstack microservices and AI-driven solutions”
  • Individuals who have led AI agent design and orchestration with tools like Kafka and Kubernetes are well-suited.
    — “Design Agentic AI architectures with autonomous and semi-autonomous AI agents, tools, workflows, memory, planning, reasoning, and orchestration”
  • Candidates with a background in cloud-native development on Microsoft Azure and microservices will align well with this opportunity.
    — “Ensure high performance, security, and reliability of cloud-native applications on Microsoft Azure”

Things to consider

  • The role requires a high level of technical leadership and hands-on experience with AI-first product design.
    — “Define and drive the architecture for AI-first products”
  • Candidates must be prepared to enforce coding best practices and mentor engineering teams.
    — “Lead code reviews, enforce best practices in coding standards, and mentor engineering teams”

How to stand out

  • Emphasize your experience in AI-first product design and successful microservices deployment.
    — “Experience Range: 10 years of experience, including substantial expertise in architecting MERN fullstack microservices and AI-driven solutions”
  • Highlight your work with event-driven architectures and orchestration tools like Kafka and Kubernetes.
    — “Develop and optimize event-driven architectures leveraging Kafka, Docker, and Kubernetes for orchestration and deployment”
  • Showcase your ability to integrate traditional APIs and ML models into microservices.
    — “Experience integrating traditional APIs and ML models into microservices”
  • Demonstrate your knowledge of AI orchestration patterns and planning workflows.
    — “Knowledge of AI orchestration patterns”
  • Include your experience with Jest and advanced JavaScript/TypeScript practices in your application materials.
    — “Mentor engineering teams in advanced JavaScript/Typescript and testing frameworks such as Jest”
Pace · SteadyCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • define and drive the architecture for AI-first products
  • design Agentic AI architectures
  • develop and optimize event-driven architectures
Typical background
10 years of experience in architecting MERN fullstack microservices

Skills & requirements

Required

TypeScriptJavaScriptNode.jsReact JSNestJSMongoDBKafkaDockerKubernetesJest

Preferred

Llm-based AgentsRetrieval-augmented Generation (rag)Oracle Rdbms

Stack & domain

TypeScriptJavaScriptNode.jsExpress JSReact JSNestJSCSS3Html5MongoDBKafkaDockerKubernetesJestMERN StackAgentic AI SolutionsMicrosoft AzureAI Orchestration PatternsPlanning And Reasoning WorkflowsRetrieval-augmented Generation (rag)Traditional ApisML ModelsOracle RdbmsMicrosoft Certified: Azure Solutions Architect ExpertCertified Kubernetes Administrator (cka)Cloud-native ApplicationsAi-first ProductsAgentic AIDistributed SystemsMicroservicesEvent-driven ArchitecturesCi/cd PipelinesCode ReviewsCoding StandardsTesting Frameworks

About the role

Original posting from Brillio 2 via Lever

Architect

Job requirements:

Experience Range: 10 years of experience, including substantial expertise in architecting MERN fullstack microservices and AI-driven solutions Key Responsibilities:

  • Define and drive the architecture for AI-first products, ensuring scalability from MVP through production environments
  • Design Agentic AI architectures with autonomous and semi-autonomous AI agents, tools, workflows, memory, planning, reasoning, and orchestration
  • Determine optimal use of LLM-based agents, Retrieval-Augmented Generation (RAG), deterministic workflows, APIs/services, and machine learning models for product features
  • Architect and implement distributed systems and microservices using MERN stack, integrating NodeJS, React JS, and NestJS
  • Develop and optimize event-driven architectures leveraging Kafka, Docker, and Kubernetes for orchestration and deployment
  • Establish automated CI/CD pipelines for efficient deployment and continuous integration
  • Ensure high performance, security, and reliability of cloud-native applications on Microsoft Azure, integrating MongoDB as needed
  • Lead code reviews, enforce best practices in coding standards, and mentor engineering teams in advanced JavaScript/Typescript and testing frameworks such as JestRequired Skills:
  • Typescript
  • JavaScript
  • NodeJS
  • Express JS
  • React JS
  • NestJS
  • CSS3
  • HTML5
  • MongoDB
  • Kafka
  • Docker
  • Kubernetes
  • Jest
  • Distributed microservices architecturePreferred Skills:
  • Experience architecting AI-first and Agentic AI solutions
  • Hands-on experience with Microsoft Azure cloud services
  • Knowledge of AI orchestration patterns
  • Expertise in planning and reasoning workflows for AI agents
  • Familiarity with Retrieval-Augmented Generation (RAG) techniques
  • Experience integrating traditional APIs and ML models into microservices
  • Experience with Oracle RDBMSDesired Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, or Software Engineering
  • Microsoft Certified: Azure Solutions Architect Expert
  • Certified Kubernetes Administrator (CKA)

Source: Brillio 2 careers (Lever)

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