Inspire
Website:
inspirebrands.com
Job details:
About Inspire Brands:
Inspire Brands is disrupting the restaurant industry through digital transformation and operational efficiencies. The company’s technology hub, Inspire Brands Hyderabad Support Center, India, will lead technology innovation and product development for the organization and its portfolio of distinct brands. The Inspire Brands Hyderabad Support Center will focus on developing new capabilities in data science, data analytics, eCommerce, automation, cloud computing, and information security to accelerate the company’s business strategy. Inspire Brands Hyderabad Support Center will also host an innovation lab and collaborate with start-ups to develop solutions for productivity optimization, workforce management, loyalty management, payments systems, and more.
Develops large-scale software and technology solutions in support of Inspire Brands’ team member-facing platforms. Supports brand needs across Inspire Brands to deliver interactive, innovative, scalable, and secure technology solutions. Leverages modern cloud-native architectures, AI-powered development tools, and enterprise integration patterns to enhance engineering productivity and business outcomes.
Responsibilities:
- Develop and integrate system APIs and enterprise services.
- Document technical details of coding projects through standardized code comments, software architecture documentation, and flow diagrams.
- Ensure corporate compliance, security, and information security standards are upheld throughout the SDLC.
- Contribute to the maintenance, support, and technology roadmap of key team member-facing solutions and platforms.
- Design and establish software patterns to solve complex business and technology challenges.
- Mentor, support, and guide junior developers through code reviews, architecture discussions, best practices, and pattern reviews.
- Participate in Agile Scrum ceremonies and collaborate with cross-functional teams to deliver high-quality solutions.
- Drive engineering excellence through automation, CI/CD, Test-Driven Development (TDD), and DevOps best practices.
- Evaluate and adopt emerging technologies, including AI-assisted development capabilities, to improve delivery speed and software quality.
Education & Experience Qualifications:
- Bachelor’s Degree in Computer Science or equivalent work experience required.
- Master’s Degree in Computer Science or equivalent work experience preferred.
- 4+ years of experience developing and supporting large-scale, highly transactional, and highly available technology platforms.
- Experience working within Agile Scrum teams.
- Experience with restaurant or retail technologies preferred.
- Experience mentoring and coaching junior developers.
- Continuous Integration and Continuous Delivery (CI/CD) automation experience.
- Strong understanding of enterprise architecture principles, including API-led architectures, middleware, and SOA.
- Experience leveraging modern AI development tools and practices to improve engineering productivity is preferred.
Required Knowledge, Skills & Abilities:
Software Engineering:
- Proficient in enterprise development technologies including Java, Server-Side JavaScript, React, and React Native.
- Strong knowledge of distributed services and API technologies including REST.
- Working experience with enterprise frameworks such as Spring Boot and Spring Framework.
- Deep understanding of microservices architecture using technologies including Java, SQL, Kubernetes, and related cloud-native services.
- Strong software design, problem-solving, and troubleshooting skills.
- Experience documenting architecture, technical designs, and system flows.
Cloud & DevOps:
- Proficiency with source control and CI/CD technologies such as Git, GitHub, and Azure DevOps.
- Strong experience with cloud-native architectures, preferably Microsoft Azure.
- Knowledge of containerized application deployments using Docker, Kubernetes, and Azure Kubernetes Service (AKS).
- Experience implementing automated build, deployment, monitoring, and operational practices.
AI & Developer Productivity:
- Hands-on experience using GitHub Copilot for code generation, code reviews, unit test creation, refactoring, documentation generation, and improving developer productivity.
- Understanding of AI-assisted software development practices, including prompt engineering, AI-driven debugging, and code optimization.
- Experience leveraging Generative AI tools to accelerate software design, knowledge discovery, testing, documentation, and development workflows.
- Knowledge of Model Context Protocol (MCP) Servers and their usage for connecting AI assistants with enterprise tools, APIs, databases, source code repositories, development platforms, and engineering workflows.
- Ability to identify and implement practical AI use cases across the Software Development Lifecycle (SDLC), including development, testing, deployment, monitoring, operational support, and incident management.
- Experience integrating AI-powered capabilities into enterprise applications while ensuring security, compliance, governance, and responsible AI standards.
- Familiarity with Large Language Models (LLMs), agentic workflows, AI orchestration, and enterprise AI adoption best practices.
- Experience creating Proof of Concepts (POCs) leveraging AI technologies to improve engineering efficiency, software quality, and team productivity.
- Ability to mentor and guide engineers on effective utilization of GitHub Copilot, AI coding assistants, MCP-based integrations,
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