Specialist , FullStack Engineering

Overview

As a Full-Stack Software Engineer, design, develop, and maintain secure, scalable software solutions across user experience, application, data, and cloud layers. Use cloud-native development, DevOps automation, and AI-assisted software engineering to deliver business solutions.

What you'll do

• Develop and maintain complex full-stack applications and software configurations with global cross-functional teams.
• Develop responsive, accessible user interfaces using HTML, CSS, JavaScript/TypeScript, and a contemporary frontend framework or library.
• Design and implement RESTful APIs and microservices using Node.js/Express or equivalent.
• Design test cases and test scripts independently, mapping them to predetermined criteria and recording and reporting test outcomes.
• Ensure quality through automated and manual testing, code reviews, and design and requirements discussions.
• Build, deploy, and operate applications on AWS and/or Azure and/or GCP using cloud-native best practices.
• Use Git, CI/CD, infrastructure as code, and monitoring/observability for versioning, deployment, and release automation.
• Use modern developer productivity tools such as GitHub Copilot or similar AI-assisted development tools to improve coding efficiency and quality.
• Apply secure development practices, including API security, authentication/authorization, and data protection.
• Gather requirements and design lifecycle practices and automation for secure, well-engineered systems and microservices.
• Follow Digital SDLC practices, including documentation, compliance, and governance across design, build, test, and deploy phases.
• Participate in Agile delivery processes using Jira for backlog management, sprint planning, status tracking, and cross-team collaboration.
• Use AI-assisted development tools to accelerate coding, testing, and documentation, reviewing and validating AI-generated output.
• Apply AI capabilities responsibly, including evaluating, integrating, or developing AI-enabled features using LLM-based services and AI-assisted development tools.
• Collaborate on intelligent applications, APIs, or workflows incorporating AI/GenAI capabilities where appropriate.
• Contribute to product planning, execution, and delivery within a matrix organization.
• Support performance optimization and scalability improvements across applications.

What you'll need

• Bachelor’s degree in Information Technology, Computer Science, or a related field.
• 3–7 years of hands-on experience working in full-stack development.
• Proficiency in at least one major software development stack: TypeScript/Node.js, Java, Python, or .NET.
• Experience with at least one modern frontend framework or library such as React, Angular, Vue, or equivalent.
• Knowledge of HTML, CSS, HTTP, and REST APIs.
• Familiarity with SQL and relational database design, including practical query optimization.
• Familiarity with AWS and/or Azure and/or GCP and cloud-native concepts such as microservices, containerization, and managed services.
• Experience with DevOps practices, including Git, infrastructure as code, observability, and CI/CD.
• Experience working in Agile/Scrum environments with Jira or equivalent.
• Experience working in LangChain, LangGraph, or Semantic Kernel.
• Experience designing, developing, or integrating AI-enabled solutions, including GenAI applications, Retrieval-Augmented Generation (RAG), AI agents, vector databases, AI observability, or responsible AI practices.
• Experience in advanced prompt engineering.
• Strong problem-solving skills with a product and customer-centric mindset.

Nice to have

• Cloud-native, AWS, or GCP certification.
• Familiarity with secure coding and compliance practices.
• Basic understanding of Digital SDLC or regulated development lifecycle practices, including documentation, testing, and compliance requirements.
• Foundational awareness of AI/GenAI concepts, including prompt engineering basics, RAG patterns, or use of AI-assisted tools within the software development lifecycle.
• Familiarity with Responsible AI Practices.

Details

• Location: Hyderabad, Telangana, India, specifically Hitec City Raidurg.
• Employment status: Regular.
• Flexible Work Arrangements: Hybrid.