Candidate should have a Bachelor’s degree in Computer Science, Software Engineering, or a related field (Master’s degree or AWS/ Cloud Architecture certifications preferred) with 8+ years of hands-on software development and technical architecture experience in enterprise software environments.
- 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.
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
If you meet our position requirements and can see yourself at SG Analytics, we invite you to apply by e-mailing your resume and cover letter to us at careers@sganalytics.com ‘Please include the job title in your subject line’
Company Profile
SG Analytics (SGA), a Straive company, is a global data, analytics, and AI consulting firm that helps organizations make better business decisions through data, technology, and domain expertise.
With a team of more than 1,400 experts, SGA works with clients across industries including BFSI, Capital Markets, Technology, Media and Telecom, Supply Chain and Manufacturing, and other high-growth sectors. Our teams work across data analytics, artificial intelligence, research, consulting, and domain-specific solutions to help businesses solve real challenges, improve decision-making, and scale AI initiatives..
