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.

nResponsibilities:

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- Develop and integrate system APIs and enterprise services.
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- Document technical details of coding projects through standardized code comments, software architecture documentation, and flow diagrams.
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- Ensure corporate compliance, security, and information security standards are upheld throughout the SDLC.
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- Contribute to the maintenance, support, and technology roadmap of key team member-facing solutions and platforms.
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- Design and establish software patterns to solve complex business and technology challenges.
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- Mentor, support, and guide junior developers through code reviews, architecture discussions, best practices, and pattern reviews.
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- Participate in Agile Scrum ceremonies and collaborate with cross-functional teams to deliver high-quality solutions.
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- Drive engineering excellence through automation, CI/CD, Test-Driven Development (TDD), and DevOps best practices.
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- Evaluate and adopt emerging technologies, including AI-assisted development capabilities, to improve delivery speed and software quality.
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nEducation &

Experience Qualifications:

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- Bachelors Degree in Computer Science or equivalent work experience required.
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- Masters Degree in Computer Science or equivalent work experience preferred.
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- 4+ years of experience developing and supporting large-scale, highly transactional, and highly available technology platforms.




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- Experience working within Agile Scrum teams.
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- Experience with restaurant or retail technologies preferred.
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- Experience mentoring and coaching junior developers.
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- Continuous Integration and Continuous Delivery (CI/CD) automation experience.
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- Strong understanding of enterprise architecture principles, including API-led architectures, middleware, and SOA.
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- Experience leveraging modern AI development tools and practices to improve engineering productivity is preferred.
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nRequired Knowledge, Skills & Abilities:

nSoftware Engineering:

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- Proficient in enterprise development technologies including Java, Server-Side JavaScript, React, and React Native .
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- Strong knowledge of distributed services and API technologies including REST.
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- Working experience with enterprise frameworks such as Spring Boot and Spring Framework .
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- Deep understanding of microservices architecture using technologies including Java, SQL, Kubernetes , and related cloud-native services.
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- Strong software design, problem-solving, and troubleshooting skills.
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- Experience documenting architecture, technical designs, and system flows.
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nCloud & DevOps:

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- Proficiency with source control and CI/CD technologies such as Git, GitHub, and Azure DevOps .
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- Solid experience with cloud-native architectures, preferably Microsoft Azure .
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- Knowledge of containerized application deployments using Docker, Kubernetes, and Azure Kubernetes Service (AKS) .
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- Experience implementing automated build, deployment, monitoring, and operational practices.
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nAI & Developer Productivity:

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- Hands-on experience using GitHub Copilot for code generation, code reviews, unit test creation, refactoring, documentation generation, and improving developer productivity.
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- Understanding of AI-assisted software development practices, including prompt engineering, AI-driven debugging, and code optimization.
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- Experience leveraging Generative AI tools to accelerate software design, knowledge discovery, testing, documentation, and development workflows.
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- 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.
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- 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.
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- Experience integrating AI-powered capabilities into enterprise applications while ensuring security, compliance, governance, and responsible AI standards.
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- Familiarity with Large Language Models (LLMs), agentic workflows, AI orchestration, and enterprise AI adoption best practices.
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- Experience creating Proof of Concepts (POCs) leveraging AI technologies to improve engineering efficiency, software quality, and team productivity.
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- Ability to mentor and guide engineers on effective utilization of GitHub Copilot, AI coding assistants, MCP-based integrations,
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📌 Senior Software Engineer (Hyderabad)
🏢 Inspire Brands Hyderabad Support Center
📍 Hyderabad