Skills and attributes for success

Primary:

- Proven experience as a Full Stack Developer and Architect with strong proficiency in C#/.NET Core, Angular/React and SQL Server.
- Extensive experience designing and implementing microservices architectures using .NET technologies.
- Hands-on experience with Microsoft Azure cloud services including Azure App Services, Azure Functions, Azure Kubernetes Service (AKS), Azure DevOps, and Azure AI services.
- CI/CD pipelines, Azure DevOps, GitHub Actions etc both for code and infrastructure
- Strong understanding of AI/ML concepts and experience building Agentic AI applications or intelligent systems.
- Experience with RESTful APIs, containerization (Docker), and orchestration (Kubernetes).
- Solid knowledge of software development lifecycle (SDLC), Agile methodologies, and DevOps practices.
- Excellent problem-solving, communication, and leadership skills.
- Conduct architecture reviews and design authority presentations.
- Define target-state architecture and technology roadmaps.
- Collaborate with enterprise architecture, security, and infrastructure teams.
- Experience designing highly available, fault-tolerant systems with disaster recovery and resiliency considerations.




- Lead multi-disciplinary engineering teams and own end-to-end delivery of transformation programs, ensuring alignment to business objectives, architecture standards, and regulatory requirements.
- Bachelors or master’s degree in computer science, Engineering, or related field.
- Overall, 8-10 years of experience.

Secondary:

- Demonstrated experience in the Risk domain, with a robust understanding of risk management, internal controls, compliance, regulatory requirements, and technology-enabled risk solutions.
- Experience with Python-based backend frameworks such as FastAPI, Flask, or Django.
- Understanding of security, auditability, governance, and regulatory compliance requirements.
- Experience with high-availability and mission-critical enterprise applications.
- Working knowledge about various AI Agents/ Agentic workflow and multi-agent frameworks and SDKs.
- Understanding of various types of Large Language Models (LLMs).
- Fundamental understanding of Retrieval Augment Generation (RAG) techniques.
- Experience with M365 Copilot Studio.
- Microsoft Azure AI-901/ AI-103 Certification.

📌 Dot Net Fullstack Developer (Hyderabad)
🏢 EY
📍 Hyderabad