Software Solution Architect - Remote Role
IRIS Centre of Excellence - India · Chennai, Tamil Nadu, India
Apply & track with Apply EdgeHello 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 ArchitectPlease find the job description and specifications for your references,Please share your interest for the job opportunity with your updated resume.share your resume to siva.arun.m@iris.co.ukShift 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
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 PositioningWorks alongside Senior and Principal Architects; does not replace or compete with themNo tribe ownership or line management responsibilitiesFocused on collaborative architecture delivery and implementation support across the teamsSuccess in the role comes from enabling teams, improving architectural consistency, and helping translate strategy into effective implementation.ResponsibilitiesArchitecture & DesignProduce clear, implementable solution designs and architecture artefactsTranslate high-level architectural direction into concrete designsEnsure alignment with established principles and standardsContribute to architecture backlog and design refinementSupport architectural consistency across frontend, backend, and platform componentsAI / LLM ApplicationSupport practical adoption of AI/LLMs in engineering workflows and productsContribute reusable patterns for LLM integrationGuide teams on trade-offs (cost, accuracy, security, latency)Promote pragmatic use of AI rather than experimental or hype-driven adoptionEngineering EnablementWork closely with tribe architects and engineering teamsProvide day-to-day architectural guidanceSupport planning by identifying risks and dependenciesHelp unblock teams from a design perspectivePlatform & CloudApply and reinforce cloud-native patterns (event-driven, scalable systems)Support effective use of AWS and platform servicesImprove consistency across implementationsQuality & StandardsEnsure designs are secure, maintainable, and observableSupport adherence to engineering standardsIdentify and help reduce technical debtExperience RequiredStrong senior engineering background or early architecture experienceExperience with cloud-native systems (AWS preferred)Understanding of distributed, event-driven, and full-stack application architectures, including frontend integration patternsAbility to convert architecture into implementable designsClear communication across technical and non-technical audiencesExperience working with modern frontend application architectures and APIs is beneficialAbility to collaborate effectively with frontend engineering teams and contribute to end-to-end user-facing solution designAI / LLM ExposureExperience using AI-assisted development toolsBasic experience integrating LLM capabilities or strong interest in doing soUnderstanding of practical constraints (cost, performance, security)DesirableExperience with SaaS platforms at scaleExposure to Terraform or infrastructure as codeMigration from legacy to modern architecturesAwareness of security best practicesCompetenciesPragmatic and delivery-focusedStrong systems thinkingCollaborative, low-ego approachAttention to detail in designWillingness to learn and adapt (especially in AI space)