About ARAs Client
ARAs Client is a technology-led organization delivering modern, scalable, and AI-enabled enterprise solutions across global markets. With a strong focus on digital transformation, cloud modernization, and next-generation architectures, the company builds robust systems leveraging full-stack development, multi-cloud platforms, and Generative AI.
Role Summary
Across all levels, the role involves hands-on engineering using .NET Core, ASP.NET, Python, and modern front-end frameworks (React/Angular). Engineers will design, develop, integrate, and deploy cloud-native, AI-enabled enterprise-grade applications across Azure, AWS, and GCP.
Key Responsibilities
Application Development (All Levels)
- Develop backend components using .NET Core (C#, ASP.NET) and Python.
- Build responsive UI components using React or Angular.
- Write maintainable, scalable, and secure code with strong testing practices.
Integration & Microservices
- Build REST APIs, microservices, GraphQL endpoints, and event-driven integrations (Kafka, queues).
- Design application-to-application connectivity and enterprise integration patterns.
Cloud Engineering
- Develop and deploy cloud-native applications across Azure, AWS, and GCP.
- Utilize services such as Functions, Logic Apps, Service Bus, API gateway, serverless components.
AI Integration
- Implement AI-powered features including automation, analytics, intelligent workflows, and GenAI-based components using cloud AI services (Azure OpenAI, AWS AI, GCP Vertex).
DevOps & Infrastructure
- Collaborate with DevOps teams for CI/CD pipelines, monitoring, and logging.
- Work with containerization tools (Docker, Kubernetes) and IaC (Terraform, Bicep).
Collaboration & Stakeholder Engagement
- Work with product managers, designers, cloud engineers, and business teams.
- Translate complex requirements into scalable technical solutions.
Must-Have Qualifications
- Minimum 2-5 years of hands-on full-stack experience.
- Proficiency in .NET Core, ASP.NET, Python.
- Strong experience with React or Angular.
- Experience building APIs, microservices, and integrations.
- Exposure to cloud platforms (Azure, AWS, GCP).
- Understanding of modern DevOps tools: CI/CD, Docker, Kubernetes.
- Strong familiarity with AI concepts or practical implementation using cloud AI tools.
Nice-to-Have Qualifications
- Cloud certifications (Azure/AWS/GCP).
- AI/ML certifications (Azure AI Fundamentals, AWS ML).
- Knowledge of big data platforms (Fabric, Hadoop, Spark).
- Understanding of Terraform/Bicep and enterprise security standards.
- Experience with GraphQL, Kafka, event-driven architectures.
Location: Pune, Chennai, Hyderabad
