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Job Description
The Role: Technical Architect/Lead (Java + AI)
Years of Experience: 16+ years
Locations- Hyderabad, Noida, Gurugram
Position Summary
We are seeking a visionary and highly experienced Technical Architect/Lead of Java Development who is hands on predominantly and able to lead our technical teams in Noida/Gurgaon. This role is ideal for a hands-on leader with extensive experience in software development methodologies and practices. The selected individual will take overall ownership of the development process, collaborating with stakeholders to ensure timely releases while maintaining high standards of quality and performance.
In this role, you will actively engage in hands-on development and working with leadership on designing technical architecture for existing and new projects while at the same time guiding the development team. This position demands a deep understanding of JAVA, software architecture, cloud technologies, and AI integration, ensuring that our solutions are scalable, maintainable, and innovative.
Duties & Accountabilities
What You'll Do
Technical
Business Competencies
Leadership Requirements
Personal Competencies
Personal Impact
Communication
Teamwork
Job ID: 147368373
Skills:
.Net Core, Ml, Logging, Microservices, Devops, AI-powered diagnostics, cloud-native architecture, Ai, Monitoring, scalable API design, Infrastructure-as-Code, observability
Skills:
Gcp, Vulnerability Management, Azure, Kubernetes, AWS, enterprise SaaS security, serverless
Skills:
Digital Transformation, Prompt engineering, Creative Design, Microsoft Word, Generative AI tools, Emerging Technologies
Skills:
Ml, Kafka, Gcp, MLops, Spark, Databricks, Azure, AWS, digital twin technologies, enterprise data platforms, real-time analytics pipelines, Ai, AI ML predictive analytics, IoT sensor integration, Data, IIoT platforms, cloud-native data ecosystems, data lakes, machine learning model deployment, DataOps, GenAI applications, automation technologies, streaming architectures
Skills:
react.js , Java, Kafka, Spring Boot, Microservices, Elasticsearch, Devops, Typescript, Docker, Microsoft Azure, Kubernetes, Generative AI, Infrastructure as Code, Prompt engineering, LLMs, Vector databases, Pinecone, Azure OpenAI, CI CD, FAISS, RAG architectures
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