Software Solution Architect - Remote Role

Hello Everyone,

I am writing this Job Post to brief about the job opportunity with IRIS KPO Resourcing Pvt Ltd (IRIS Software Group) for Software Solution Architect

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Shift timing : UK Business Hours (2.00 PM - 11.00 PM IST)

Web Link : https://www.iris.co.uk/

LinkedIN : https://www.linkedin.com/company/iris-outsourcing-and-

global-product-development-centre/posts/?feedView=all

Location : Remote (Work From Home)

Employment Type : Full-Time | Permanent

Role Overview

IRIS is expanding its next-generation cloud platform (IRIS Elements), a cloud-native SaaS platform built on event-driven, serverless, and container-based architectures (primarily AWS).

This role is a hands-on Architect (Level 4) position focused on supporting delivery teams and senior architects by producing high-quality architectural artefacts and ensuring consistent implementation of architectural direction.

The role requires the ability to work across application layers, including frontend, service, integration, and platform concerns, ensuring cohesive end-to-end solution design.

This is a highly collaborative role working closely with Senior and Principal Architects, engineering teams to translate architecture direction into practical delivery outcomes. The role is particularly well suited to strong senior engineers or emerging architects looking to broaden their architectural experience across multiple domains and teams.

Role Positioning

• Works alongside Senior and Principal Architects; does not replace or compete with them
• No tribe ownership or line management responsibilities
• Focused on collaborative architecture delivery and implementation support across the teams
• Success in the role comes from enabling teams, improving architectural consistency, and helping translate strategy into effective implementation.

Responsibilities

Architecture & Design

• Produce clear, implementable solution designs and architecture artefacts
• Translate high-level architectural direction into concrete designs
• Ensure alignment with established principles and standards
• Contribute to architecture backlog and design refinement
• Support architectural consistency across frontend, backend, and platform components

AI / LLM Application

• Support practical adoption of AI/LLMs in engineering workflows and products
• Contribute reusable patterns for LLM integration
• Guide teams on trade-offs (cost, accuracy, security, latency)
• Promote pragmatic use of AI rather than experimental or hype-driven adoption

Engineering Enablement

• Work closely with tribe architects and engineering teams
• Provide day-to-day architectural guidance
• Support planning by identifying risks and dependencies
• Help unblock teams from a design perspective

Platform & Cloud

• Apply and reinforce cloud-native patterns (event-driven, scalable systems)
• Support effective use of AWS and platform services
• Improve consistency across implementations

Quality & Standards

• Ensure designs are secure, maintainable, and observable
• Support adherence to engineering standards
• Identify and help reduce technical debt

Experience Required

• Strong senior engineering background or early architecture experience
• Experience with cloud-native systems (AWS preferred)
• Understanding of distributed, event-driven, and full-stack application architectures, including frontend integration patterns
• Ability to convert architecture into implementable designs
• Clear communication across technical and non-technical audiences
• Experience working with modern frontend application architectures and APIs is beneficial
• Ability to collaborate effectively with frontend engineering teams and contribute to end-to-end user-facing solution design

AI / LLM Exposure

• Experience using AI-assisted development tools
• Basic experience integrating LLM capabilities or strong interest in doing so
• Understanding of practical constraints (cost, performance, security)

Desirable

• Experience with SaaS platforms at scale
• Exposure to Terraform or infrastructure as code
• Migration from legacy to modern architectures
• Awareness of security best practices

Competencies

• Pragmatic and delivery-focused
• Strong systems thinking
• Collaborative, low-ego approach
• Attention to detail in design
• Willingness to learn and adapt (especially in AI space)