Job Description

Roles & Responsibilities

Job Summary

You will drive end to end architecture of a cloud native learning ecosystem for a fortune 500 Automative OEM and it’s dealerships. You will work closely with business, IT, engineering, data and AI, cloud infrastructure, DevSecOps teams to drive the development of this new system from scratch.

Job Description (Role & Responsibilities)

  • Refine target architecture for an AI driven Learning management ecosystem which leverages existing investments in CMS, LMS, data warehouse while introducing AI to accelerate the learning processes
  • Create high level and low level designs covering microservices, storage, and integration patterns
  • Guide teams on best practices for Java/Spring, Kafka, Aurora/RDS, and API Gateway implementations
  • Guide team on appropriate use of AI/GenAI tools in SDLC and for Multi-modal content creation
  • Own non functional requirements: performance, security, reliability, observability, and cost
  • Collaborate with Product, Data, and ML teams to align schema, data contracts, and AI use cases
  • Review code and designs, perform PoCs, and lead architecture governance.

Must Haves

  • 12+ years in software development with at least 5 years on AWS based distributed systems
  • Strong hands on experience with Java, Spring Boot, Spring Cloud microservices from the past
  • Proven design of event driven systems using Kafka or similar streaming platforms
  • Solid understanding of relational databases and data modeling (Aurora/RDS, PostgreSQL/MySQL)
  • At least one recent project with use of AI for SDLC and for Multi-modal content creation
  • At least one Learning Management Ecosystem implementation experience
  • Experience with xAPI, SCORM, LRS, ADL TLA or learning analytics platforms
  • In dept understanding of GenAI based architecture, RAG, Observability tooling, Langflow, Langchain and similar frameworks

Preferred

  • Exposure to Amazon Bedrock or other cloud AI/ML services.
  • Background in secure B2B integrations (VPN, OAuth2/OIDC, TLS, VPC peering).
  • Prior work in designing analytics/data platforms connected to CRM/LMS/DMS
  • Prior experience with Automative industry in the learning management space

Good to Have

  • Certification: AWS Certified Solutions Architect (Professional/Associate).
  • Familiarity with IaC (CloudFormation/Terraform), service mesh and API management
  • Experience in performance engineering and capacity planning for high throughput systems
  • Strong mentoring skills and ability to run architecture workshops

Experience

  • 16-18 Years

Skills

  • Primary Skill: Application Architecture
  • Sub Skill(s): Application Architecture
  • Additional Skill(s): Frontend Architecture, Product Management (SE), Application Architecture, Systems Architecture

About The Company

Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).

Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.


Job Details

Role Level: Not Applicable Work Type: Full-Time
Country: India City: Mumbai ,Maharashtra
Company Website: http://www.infogain.com Job Function: Engineering
Company Industry/
Sector:
IT Services And IT Consulting Insurance And Retail

What We Offer


About the Company

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