Senior Software Developer – .NET Core

Experience

Minimum 5 years of experience in the design, development, and

configuration of enterprise software modules, interfaces, and components.

Mandatory Technical Skills

Strong hands-on experience with .NET Core, ASP.NET MVC, and Entity

Framework.

Strong proficiency in Microsoft SQL Server for database design,

development, and optimization.

Experience in AI-assisted software development using Generative AI

tools for code generation, code optimization, debugging, code review, and

documentation.

Experience in writing unit tests using NUnit.

Strong understanding and implementation experience of Microservices

Architecture.

Hands-on experience with the CQRS (Command Query Responsibility

Segregation) design pattern.

Experience with Apache Kafka for event-driven and asynchronous

messaging. - Any queue services

Experience with Git and Azure DevOps for source code management and

CI/CD.

Strong understanding of RESTful APIs and service integration.

Preferred Skills

Experience with Angular /React or later versions.

Experience using the ELK Stack (Elasticsearch, Logstash, and

Kibana) for centralized logging, monitoring, and troubleshooting.

Knowledge of containerization technologies such as Docker and

orchestration using Kubernetes.

Familiarity with cloud platforms such as Microsoft Azure, AWS.

Responsibilities

Design, develop, and maintain scalable, secure, and high-performance

software components.

Collaborate closely with Solution Architects to produce high-quality technical

designs and implementation plans.

Develop and integrate RESTful APIs and microservices.

Participate in architecture discussions, design reviews, and code reviews.

Interact with business analysts, architects, QA teams, and other

stakeholders to finalize technical designs and interface specifications.

Ensure adherence to coding standards, best practices, and quality

guidelines.

Troubleshoot, optimize, and enhance application performance and reliability.

Soft Skills

Excellent verbal communication skills in English.

Strong analytical and problem-solving abilities.

Excellent interpersonal and stakeholder management skills.

Ability to work effectively in Agile/Scrum environments.

Self-motivated with a strong focus on quality and continuous improvement.

Must Have

Prompt Engineering – Ability to design effective prompts that optimize

response quality, reduce token consumption, and accelerate development

through efficient interactions with AI models.

Hands-on experience leveraging AI-assisted development tools – Proven

experience using AI tools to accelerate end-to-end solution delivery, including

requirements analysis, solution design, coding, testing, debugging,

documentation, and deployment.

Good to Have

Knowledge of Agentic AI frameworks – Understanding of autonomous AI

agents, multi-agent systems, orchestration patterns, tool integration, and

workflow automation concepts.

Knowledge of Retrieval-Augmented Generation (RAG) patterns and AI-

native development practices – Understanding of AI application architectures,

RAG concepts, vector databases, and knowledge retrieval mechanisms to

support the design and development of enterprise AI solutions.

Machine Learning (ML) knowledge and implementation experience –

Familiarity with ML concepts, model development, training, deployment, and

integration into business applications.

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