5+ years of software engineering experience focused on full stack development.
5+ years of enterprise application development using Python.
Hands-on experience with React.js and Node.js for web applications.
3+ years of experience with Databricks in enterprise settings.
Strong knowledge of SQL and relational databases, particularly PostgreSQL.
Experience with Snowflake and cloud data platforms.
Proven track record in designing and developing large-scale distributed systems and microservices.
Responsibilities
Design, develop, and deploy scalable full stack applications.
Build and enhance AI-powered applications and integrate LLMs with data platforms.
Develop data-driven applications leveraging Databricks and Snowflake.
Architect and implement distributed systems and microservices for high availability.
Optimize AI application components for performance and security.
Manage containerized applications using Docker and Kubernetes.
Collaborate with stakeholders to translate requirements into technical solutions.
Develop and maintain CI/CD pipelines for automation.
Participate in code reviews and engineering best practices.
Troubleshoot production issues and drive improvements in application performance.
Benefits
Flexible work arrangement with the possibility of remote work.
Opportunity to work on AI-driven projects that lead to innovative business outcomes.
Access to modern cloud technologies and tools.
Comprehensive health and wellness programs.
Professional development and career advancement opportunities.
Full Job Description
.\nNTT DATA's Client is currently seeking a Full Stack Engineer to join their team in Dallas, Texas (US-TX), United States (US).
Job Description: Day to Day job Duties:
Design, develop, and deploy scalable full stack applications using Python, React.js, Node.js, SQL, and modern cloud-native technologies.
Build and enhance AI-powered applications, including Agentic AI solutions, integrating LLMs and enterprise data platforms to drive business outcomes.
Develop and maintain data-driven applications leveraging Databricks, Snowflake, and PostgreSQL for large-scale analytics and processing.
Architect and implement distributed systems and microservices that support high availability, horizontal scalability, performance, and security requirements.
Design and optimize AI application components, including benchmarking, hallucination prevention mechanisms, caching strategies, model optimization, and performance monitoring.
Build, deploy, and manage containerized applications using Docker and Kubernetes across enterprise environments.
Collaborate with product owners, architects, and business stakeholders to translate requirements into scalable technical solutions.
Develop and maintain CI/CD pipelines to automate application deployment, testing, monitoring, and release management.
Participate in code reviews, architecture discussions, and engineering best practice initiatives to ensure high-quality software delivery.
Troubleshoot complex production issues and drive continuous improvements in performance, reliability, and security compliance.
Basic Qualifications: (what are the skills required to this job with minimum years of experience on each)
Minimum 5+ years of software engineering experience with a strong focus on full stack application development.
Minimum 5+ years of experience developing enterprise applications using Python.
Strong hands-on experience with React.js and Node.js for developing modern web applications.
Minimum 3+ years of experience working with Databricks (DBX) in enterprise environments.
Strong experience with SQL and relational databases, including PostgreSQL.
Experience working with Snowflake and modern cloud data platforms.
Demonstrated experience designing and developing large-scale distributed systems and microservices architectures.
Strong understanding of application scalability, horizontal scaling, performance optimization, resiliency, and security compliance.
Hands-on experience with Docker, Kubernetes, and CI/CD pipeline implementation.
Experience delivering AI/GenAI/Agentic AI engineering solutions in enterprise environments.
Experience with AI application benchmarking, hallucination mitigation/prevention techniques, caching strategies, model optimization, and performance tuning.
Excellent communication, stakeholder management, and collaboration skills.
Strong software engineering fundamentals, system design expertise, and problem-solving abilities.
Travel: This position does not require travel. Preferred location is India. Degree: Bachelors in Computer Science or equivalent work experience
Nice to Have; (But not a must)
Experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, or similar orchestration platforms.
Experience deploying AI solutions in regulated financial services environments.
Experience with cloud platforms such as AWS, Azure, or GCP.
Experience leading engineering teams, mentoring developers, or serving as technical lead on large enterprise programs.
Familiarity with MLOps, AI observability, and model governance frameworks.
