Technical Architect (.Net)
SG Analytics · Remote · remote · Posted today
₹40.0L - ₹50.0L PA8–13 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Role & responsibilities
- Define end-to-end platform architecture, service boundaries, data flows, and integration patterns for rating and financial data applications.
- Execute legacy application modernization strategies, transitioning monolithic enterprise systems to modern cloud-native architectures without operational disruption.
- Architect and implement production-grade AI solutions including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and custom data pipelines.
- Build end-to-end automated workflows across engineering and business units using workflow engines, event-driven pipelines, CI/CD, and AI-assisted tools.
- Design, code, test, and debug high-performance microservices and RESTful APIs using .NET Core, ASP.NET Core, and FastAPI/Python.
- Optimize relational and non-relational data models across SQL Server, PostgreSQL, and MongoDB to handle large-scale financial and ESG datasets.
- Manage AWS cloud deployments using containerized technologies (Docker, AWS ECS, Fargate, ECR), defining security, networking, and observability patterns.
- Conduct infrastructure and code performance tuning to drive measurable system-wide cost optimizations.
- Establish software development standards, conduct technical code reviews, create architectural documentation, and mentor software developers
Preferred candidate profile
- Experience: 12 to 20 years of hands-on software development and technical architecture experience in enterprise software environments.
- Education: Bachelor's degree in Computer Science, Software Engineering, or a related field (Master's degree or AWS/Cloud Architecture certifications preferred).
- Technical Expertise: Deep domain expertise in .NET Framework / .NET Core, C#, ASP.NET Core, and Entity Framework.
- Modern Stack & AI: Hands-on capability in Python, FastAPI, Next.js/React, GenAI, LLMs, RAG architecture, and automated workflow tools.
- Database & Cloud: Mastery of SQL Server, PostgreSQL, MongoDB, AWS cloud services (ECS, Fargate, ECR), Docker, CI/CD pipelines, and Infrastructure as Code.
- Engineering Principles: Strong background in SOLID design principles, design patterns, microservices, unit testing (NUnit), and RESTful web services.
Sourced from naukri
Skills
Asp.Net CoreDockerRetrieval Augmented GenerationPostgresqlNext.jsLegacy ModernizationCost optimizationProcess automationsoftware architectureamazon web servicesinfrastructure as codeDot Net CoreFargateLarge Language Models (LLMs)AWS ECSPythonReact.JsREST APIMicroservicesSystem DesignSQL ServerGenerative AiCi/CdFastAPI
About SG Analytics

SG Analytics
Analytics & KPO
1.3k+
employees
2006
20 years old
Pune
India
₹8.4L PA avg
Avg at SG Analytics
₹40L – ₹50L PA
This role
About
SG Analytics is a global insights and analytics company, provides data-centric research and contextual analytics consulting services, specializing in ESG, data analytics and much more.
Industries
Analytics & KPOConsulting
Employee ratings
10 reviews
2.8/ 5
Culture
1.3
Career growth
1.2
Work-life
1.2
Employees rate it well for
Company Culture28Work-Life Balance28
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