Live opening · Posted 18 days ago

Solution Architect – Consultant

Galaxy Weblinks Inc · India (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 18 days ago
CompanyGalaxy Weblinks Inc
LocationIndia (Remote)
Work modeNo
SourceLinkedin
Listed18 days ago

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About the role

Description supplied by the original job listing.

Solution Architect – Consultant
Experience: 15+ years
Role: Remote | Part-Time Consultant on a Need Basis
About the Role
Galaxy Weblinks is seeking a highly experienced Solution Architect Consultant with strong exposure to backend technologies, cloud, DevOps, databases, and AI/LLM solutions.
The ideal candidate should be technology-agnostic and capable of understanding complex business and technical requirements, assessing existing systems, identifying gaps, and designing practical, scalable, secure, and cost-effective solutions across different technology ecosystems.
Key Responsibilities
Solution & Application Architecture
Analyze business and technical requirements and translate them into scalable end-to-end technology solutions.
Assess existing applications, architectures, codebases, integrations, and technology stacks.
Recommend build, reuse, refactor, migrate, or rebuild strategies based on business requirements, technical feasibility, cost, and long-term value.
Design high-level solution architectures covering applications, APIs, databases, integrations, cloud, security, and infrastructure.
Identify technical risks, dependencies, scalability challenges, and modernization opportunities.
Backend & Technology Architecture
Strong understanding of multiple backend technologies such as Python, .NET/.NET Core, Node.js, and related frameworks.
Evaluate and recommend appropriate backend technologies based on project requirements.
Strong understanding of REST APIs, microservices, distributed systems, integrations, authentication, and API architecture.
Review existing backend architecture and provide recommendations for performance, scalability, maintainability, and modernization.
AI, Generative AI & LLM
Good exposure to AI/ML, Generative AI, Large Language Models (LLMs), RAG, and AI agents.
Identify opportunities to integrate AI/LLM capabilities into existing and new applications.
Recommend appropriate AI architecture, models, APIs, frameworks, and integration approaches.
Assess AI solutions from the perspective of scalability, security, performance, data privacy, and cost.
Provide architectural guidance for AI-powered applications and automation.
Cloud & DevOps Architecture
Strong understanding of cloud architecture and DevOps practices across AWS, Azure, and/or GCP.
Assess existing cloud infrastructure, deployment architecture, CI/CD pipelines, and operational processes.
Design and recommend scalable cloud-native and DevOps solutions.
Strong understanding of CI/CD, Docker, Kubernetes, Infrastructure as Code (IaC), Git, monitoring, logging, and observability.
Evaluate deployment, release, environment, and infrastructure strategies for reliability and scalability.
Recommend solutions for high availability, disaster recovery, security, performance, and cloud cost optimization.
Identify infrastructure and DevOps bottlenecks and provide practical recommendations for improvement.
Database & Data Architecture
Review database architecture, data models, queries, stored procedures, performance, and scalability.
Strong understanding of relational databases such as SQL Server and PostgreSQL, with awareness of NoSQL databases.
Evaluate database technology choices and recommend appropriate solutions based on application and business requirements.
Provide recommendations for database performance, scalability, migration, and modernization.
Architecture Assessment & Consulting
Conduct comprehensive technical assessments of existing applications and platforms.
Identify architecture gaps, technical debt, performance bottlenecks, infrastructure risks, and modernization opportunities.
Compare alternative technologies and provide clear technical recommendations with business justification.
Work with stakeholders and engineering teams to explain proposed solutions and architectural decisions.
Provide high-level technical direction to development, DevOps, and engineering teams.
Required Skills & Experience
15+ years of experience in software engineering, solution architecture, enterprise architecture, or technology consulting.
Strong experience designing end-to-end enterprise solution architectures.
Good exposure to multiple backend technologies, particularly Python, .NET/.NET Core, and Node.js.
Strong understanding of APIs, microservices, distributed systems, integrations, and application architecture.
Good exposure to AI, Generative AI, LLMs, RAG, and AI agents.
Strong understanding of AWS, Azure, and/or GCP.
Strong understanding of DevOps and CI/CD practices, including Docker, Kubernetes, IaC, monitoring, logging, and observability.
Strong knowledge of relational databases such as SQL Server/PostgreSQL and exposure to NoSQL databases.
Understanding of cloud security, scalability, high availability, disaster recovery, and performance optimization.
Experience conducting architecture reviews, technology assessments, modernization initiatives, and build-vs-buy/rebuild evaluations.
Strong analytical and problem-solving skills with the ability to recommend the right technology and architecture for a given business problem.
Excellent communication skills with the ability to explain complex technical concepts to technical and non-technical stakeholders.

Work arrangement
No

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