Golang software Engineer

Key skills- Golang + Angular +AWS+CI/CD Key Responsibilities: Design, develop, and maintain full stack web applications and platform features that are reliable, maintainable, and scalable.Build frontend features using modern frameworks such as Angular or React.Develop backend services and APIs using technologies such as Python, Node.js, or Golang.Work with relational databases such as MySQL and PostgreSQL, and NoSQL databases such as DynamoDB or similar platforms.Develop and maintain software solutions that align with accessibility standards, including WCAG 2.2 AA.Integrate accessibility best practices into code, testing, and design processes.Collaborate closely with product managers, data scientists, and engineering teams to deliver high-quality solutions.Explore opportunities to integrate AI capabilities into applications where they add clear value to the user experience.Implement application security best practices and support compliance with relevant data privacy and protection requirements.Contribute to CI/CD processes to enable smoother and more reliable releases.Support cloud infrastructure and optimize applications for performance, cost, and security.Apply engineering best practices to ensure software quality, stability, performance, resiliency, and maintainability. Preferred skills & Requirements: 3+ years of experience in product or enterprise software development.Hands-on experience across the full software stack, including frontend, backend/API, databases, cloud infrastructure, and deployment workflows.Experience building full stack features using Angular or React, backend APIs using Python, Golang, or Node.js, and cloud infrastructure using AWS or Azure.Experience implementing accessible features in web applications.Strong technical abilities in software development, testing, monitoring, performance tuning, and deployment pipelines.Understanding of application security principles, data privacy considerations, and secure coding practices.Strong technical communication, collaboration, and problem-solving skills. Passion for technology and commitment to staying current with modern engineering practices and emerging capabilities. Preferred Qualifications: Familiarity with AI or machine learning integrations.Exposure to LLM frameworks such as LangChain or similar tools.Awareness of Retrieval-Augmented Generation (RAG) patterns or similar AI integration techniques.Experience with infrastructure as code tools such as Terraform.Experience working in agile, cross-functional product engineering teams