> Markdown version of [/jobs/ext/4509362-technical-specialist](https://www.wearedevelopers.com/jobs/ext/4509362-technical-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Specialist - **Company:** HCL Technologies - **Location:** Tampa, FL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon S3, User Authentication, Microsoft Azure, Cloud Computing, Cloud Engineering, Software Quality, Code Review, Continuous Integration, Software Debugging, Software Design Patterns, DevOps, Web Development, Amazon DynamoDB, Github, Identity and Access Management, Node.Js, Performance Tuning, Systems Development Life Cycle, OpenAI, Next.js, Search Technologies, Software Engineering, Systems Integration, TypeScript, Web Applications, Enterprise Software Applications, Spring Cloud, GitHub Copilot, LangChain, ReactJS, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Backend, Cloudformation, Amazon Relational Database Service, Containerization, Kubernetes, Infrastructure Automation Frameworks, Amazon Bedrock, Deployment Automation, Front End Software Development, Cloudwatch, Api Gateway, Restful APIs, Terraform, Devsecops, Serverless Computing, Docker, Jenkins, Microservices - **Published:** November 2, 2026 - **Apply:** https://www.careerbuilder.com/job-details/technical-specialist-tampa-fl--e205f80f-2dee-41c2-ab3e-5e2196a49501 ## About the Role Engineering, Software Engineering, Cloud Applications, Scalable System Development, Artificial Intelligence (AI), Automation, Cloud Computing, Microservices, Amazon Web Services (AWS), Web Programming, * GenAI/LLM integration, Prompt Engineering, RAG, embeddings and vector search. * Exposure to Amazon Bedrock, Azure OpenAI, OpenAI APIs, LangChain or similar platforms. * Familiarity with AI-assisted development tools such as GitHub Copilot. AWS * Hands-on experience with AWS services such as Lambda, ECS/EKS, API Gateway, S3, RDS, DynamoDB, IAM and CloudWatch. * Experience with cloud-native, serverless and microservices architectures. DevOps * Strong knowledge of CI/CD, Docker, Kubernetes and Terraform/CloudFormation. * Experience with GitHub Actions, Jenkins, Azure DevOps or similar tools. * Understanding of monitoring, observability and DevSecOps practices. Full Stack / Next.js * Strong experience with Next.js, React, TypeScript/JavaScript and Node.js. * Experience building REST APIs/microservices and integrating frontend and backend services. * Knowledge of authentication, security, testing and performance optimization. Skill Requirements 8+ years of software engineering experience.Strong software engineering fundamentals, design patterns and clean coding practices.Experience delivering enterprise-scale/cloud-based applications.Strong problem-solving, debugging and communication skills.Experience working in Agile/Scrum environments. ## Description We are looking for experienced Senior Engineers with 8+ years of software engineering experience to design, develop, and deliver scalable, secure, cloud-native applications. The role requires strong hands-on engineering expertise across one or more specialization areas including AI-enabled application development, AWS cloud engineering, DevOps/platform engineering, and Full Stack development using Next.js. The ideal candidate will combine strong software engineering fundamentals with modern cloud, automation, and AI-assisted development practices and will contribute to architecture, engineering standards, code quality, performance, security, and production reliability. Key Responsibilities Key Responsibilities * Design and develop scalable, secure, enterprise-grade applications. * Build cloud-native solutions and microservices on AWS. * Develop modern web applications using Next.js, React, TypeScript, and Node.js. * Implement and manage CI/CD, containerization, Infrastructure as Code, and deployment automation. * Integrate AI/GenAI capabilities into enterprise applications where applicable. * Participate in architecture, design reviews, code reviews, and technical decision-making. * Troubleshoot application, cloud, and production issues. * Mentor engineers and promote engineering best practices.