Hiring senior full stack developer data migration & ai engineer, hyderabad

Job description

Job Description: Senior Full Stack Developer - Data Migration & AI Engineer Location: Hyderabad, India Employment Type: Full-Time Experience Level: Senior (8-12 years) Position Overview We are seeking an exceptional Senior Full Stack Developer to join our innovative team in Hyderabad.

This role focuses on designing, building, and maintaining enterprise-level data migration tools that leverage cutting-edge cloud architecture and Generative AI capabilities.

The ideal candidate will bridge the gap between complex data migrations and innovative AI solutions, working at the intersection of traditional software engineering and modern AI/ML technologies.

Key Responsibilities Data Engineering & Migration • Design and implement robust ETL (Extract, Transform, Load) pipelines for large-scale enterprise data migration projects • Develop sophisticated transformation logic using Python and Pandas for data cleansing, normalization, and enrichment • Architect and optimize data workflows to handle petabyte-scale migrations with minimal downtime • Create data quality frameworks and validation mechanisms to ensure migration integrity • Build automated data reconciliation and verification systems Full Stack Development • Design and develop scalable full-stack applications using Java Script/Type Script (Node.js, React/Angular/Vue.js) • Build RESTful and Graph QL APIs for data migration management and monitoring • Create intuitive user interfaces for migration configuration, monitoring, and reporting • Implement microservices architecture for modular and maintainable systems • Develop real-time dashboards and analytics platforms for migration insights AI/ML Integration • Integrate Generative AI and Large Language Models (LLMs) into data migration workflows • Develop AI-powered data mapping and schema matching capabilities • Implement NLP solutions for intelligent data categorization and entity recognition • Build agentic AI systems for autonomous decision-making in migration processes • Create ML models for predictive migration performance optimization and anomaly detection Database & Vector Technologies Job Description Internal and Contracted Hiring Agents’ Use Only 12-Oct-25 • Implement and optimize graph databases (Neo4j, Amazon Neptune) for complex relationship mapping • Design and deploy vector databases (Pinecone, Weaviate, Milvus) for semantic search and AI applications • Integrate LLMs with vector stores for retrieval-augmented generation (RAG) systems • Optimize database performance and query efficiency for high-volume operations Cloud Architecture & Dev Ops • Architect and deploy cloud-native solutions on AWS (ECS, ECR, Lambda, S3, RDS, Dynamo DB) • Implement comprehensive monitoring and logging using Cloud Watch, Prometheus, and Grafana • Design and maintain CI/CD pipelines using Jenkins, Git Lab CI, or Git Hub Actions • Develop Infrastructure as Code (Ia C) using Terraform, Cloud Formation, or AWS CDK • Manage Kubernetes clusters for container orchestration and auto-scaling • Implement security best practices including encryption, IAM policies, and network security Security & Compliance • Design and implement end-to-end secure AI applications with proper authentication and authorization • Ensure compliance with data protection regulations (GDPR, CCPA, SOC 2) • Implement data masking and anonymization techniques for sensitive information • Conduct security audits and vulnerability assessments Required Qualifications Education • Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related field • Relevant certifications (AWS Solutions Architect, Kubernetes Administrator) are highly desirable Technical Skills Programming & Development (Essential) • Python: Advanced proficiency with 5+ years of hands-on experience • Pandas & Data Processing: Expert-level data manipulation and transformation • Java Script/Type Script: Strong full-stack development capabilities with modern frameworks • Num Py, Sci Py: Statistical computing and numerical analysis Cloud & Infrastructure (Essential) • AWS Services: Deep expertise in ECS, ECR, Lambda, S3, Cloud Watch, RDS, Dynamo DB • CI/CD: Design and implementation of automated deployment pipelines • Infrastructure as Code (Ia C): Terraform, Cloud Formation, or AWS CDK Job Description Internal and Contracted Hiring Agents’ Use Only 12-Oct-25 • Kubernetes: Container orchestration, deployment, and management • Docker: Containerization and microservices architecture AI/ML & NLP (Essential) • Machine Learning: 5+ years in AI/ML development and deployment • NLP & LLMs: Experience with GPT, Claude, LLa MA, or similar models • Agentic AI: Building autonomous AI systems and decision-making frameworks • ML Frameworks: Tensor Flow, Py Torch, scikit-learn, Hugging Face Transformers • Vector Databases: Hands-on experience with embedding models and similarity search Data Technologies (Essential) • ETL Design: Enterprise-level data pipeline architecture and implementation • Graph Databases: Neo4j, Amazon Neptune, or equivalent • SQL & No SQL: Postgre SQL, My SQL, Mongo DB, Dynamo DB • Data Warehousing: Snowflake, Redshift, or Big Query experience is a plus Additional Technical Skills • RESTful API design and Graph QL • Message queues (Rabbit MQ, Kafka, AWS SQS) • Version control with Git and collaborative development workflows • Agile/Scrum methodologies • Performance optimization and load testing Professional Experience • Minimum 8-12 years of software development experience • At least 5 years specifically in AI/ML development and deployment • Proven track record of delivering large-scale data migration projects • Experience leading technical initiatives and mentoring junior developers • Portfolio of production AI applications and data engineering solutions Soft Skills • Excellent problem-solving and analytical thinking abilities • Strong communication skills for technical and non-technical stakeholders • Ability to work independently and collaboratively in a distributed team environment • Adaptability to rapidly evolving technologies and methodologies • Detail-oriented with strong organizational skills Preferred Qualifications • Experience with real-time data streaming (Apache Kafka, AWS Kinesis) • Knowledge of data governance and metadata management tools • Familiarity with multiple cloud platforms (Azure, GCP) • Experience with blockchain or distributed ledger technologies • Contributions to open-source projects • Published research or technical articles in AI/ML or data engineering

Required Skill Profession

Architecture & Construction