Principal Cloud Platform Architect – AI-Driven Systems

IGEL Technology; Indianapolis (IN); On-site; USD 42,000 - 68,000; Full time

Job summary

IGEL Technology in Bangalore-India seeks a senior software architect to lead the design and delivery of cloud-native services. You will own end-to-end development, testing, release, and production operations, shaping data modeling for AI use cases and cross-team service interactions.

Ideal candidate has 10–14 years of experience with strong fundamentals in distributed systems, cloud-native architecture, and production-grade service delivery.

Qualifications

• University degree in computer science, mathematics, IT or relevant professional experience with qualified technical training.

Responsibilities

• Lead design and delivery of complex cloud services and cross-service workflows.
• Define architecture for services, data flows, and system interactions across teams.
• Make key decisions on: data modeling for AI use cases; service decomposition; scaling strategies and trade-offs.
• Establish and enforce best practices for: testing strategy; CI/CD; observability and operational readiness.
• Drive service reliability, performance, and cost optimization at scale.
• Lead design reviews and mentor senior engineers.
• Own resolution of complex production issues involving multiple systems.
• Influence how AI is integrated into product and platform design.
• Collaborate across teams to align architecture and delivery.

Skills

Distributed systems

Cloud-native architecture

Programming languages

Production services

Automation CI/CD

AI tools usage

Leadership & mentoring

Education

University degree in computer science, mathematics, IT or relevant professional experience with qualified technical training

Job description

IGEL Technology in Bangalore-India seeks a senior software architect to lead the design and delivery of cloud-native services. You will own end-to-end development, testing, release, and production operations, shaping data modeling for AI use cases and cross-team service interactions.

Ideal candidate has 10–14 years of experience with strong fundamentals in distributed systems, cloud-native architecture, and production-grade service delivery.