Principal I Software Engineer

Job description

**Principal Software Engineer – Cloud, GenAI, Agentic AI & Enterprise Orchestration Platforms** **Role Summary** We are seeking an exceptional Principal Software Engineer to provide technical vision, architectural leadership, and hands-on engineering expertise across cloud-native platforms, enterprise applications, and next-generation AI solutions. This role is responsible for driving large-scale platform modernization, enterprise architecture, AI/ML adoption, Generative AI enablement, and Agentic AI workflows. The ideal candidate combines deep expertise in PHP, Java Spring Boot, Cloud Engineering, Distributed Systems, and AI-powered platforms with a proven track record of influencing engineering strategy across multiple teams and business domains. As a Principal Engineer, you will act as a technical leader, mentor, and trusted advisor, shaping the future-state architecture and engineering practices while enabling innovation through GenAI and intelligent automation. **Key Responsibilities** **Technical & Strategic Leadership** - Define and drive technical vision, architecture, and engineering strategy across multiple products and platforms. - Lead cross-functional initiatives spanning application modernization, cloud transformation, platform engineering, and AI adoption. - Serve as a technical authority for complex architecture and design decisions. - Establish engineering standards, development frameworks, and best practices across teams. - Mentor Senior Engineers, Technical Leads, and Engineering Managers. - Influence technology roadmaps aligned with business and organizational goals. **Enterprise Architecture & Modernization** - Architect and lead the evolution of enterprise applications using PHP, Java Spring Boot, Microservices, and Cloud-Native architectures. - Drive modernization programs including: - Monolith to Microservices transformations - Legacy platform modernization - Cloud migration and transformation - Platform consolidation initiatives - Create scalable reference architectures and reusable engineering patterns. - Evaluate and introduce emerging technologies that improve business outcomes and engineering productivity. **AI/ML, GenAI & Intelligent Platforms** - Lead design and implementation of AI-enabled enterprise applications and intelligent automation platforms. - Architect and develop solutions leveraging: - Large Language Models (LLMs) - Retrieval-Augmented Generation (RAG) - Prompt Engineering - Vector Databases - Semantic Search - AI Agents and Multi-Agent Systems - Design and implement Agentic AI workflows capable of autonomous task orchestration, reasoning, planning, and tool utilization. - Partner with Data Science and AI teams to operationalize ML models at scale. - Define AI governance, security, responsible AI practices, and monitoring frameworks. - Evaluate AI platforms including Azure OpenAI, OpenAI, AWS Bedrock, Google Vertex AI, Anthropic Claude, and enterprise AI ecosystems. - Drive adoption of AI-assisted engineering and developer productivity tools. **Cloud & Platform Engineering** - Define enterprise cloud architecture across AWS, Azure, and GCP environments. - Lead platform engineering initiatives that improve developer experience and deployment efficiency. - Drive Infrastructure-as-Code, GitOps, and automation strategies. - Lead implementation of: - Docker - Kubernetes - Service Mesh - API Gateway - Event-Driven Architectures - Optimize scalability, resilience, security, and cloud cost management across platforms. **Reliability, Security & Operational Excellence** - Establish enterprise standards for: - Security - Reliability - Availability - Performance - Observability - Drive implementation of monitoring, distributed tracing, logging, and AIOps capabilities. - Lead architecture reviews, risk assessments, and system resiliency programs. - Partner with Security and Compliance teams to embed secure-by-design principles. **Collaboration & Executive Influence** - Collaborate with Product, Architecture, Security, Data Science, Platform Engineering, and Business Leadership teams. - Translate strategic business objectives into scalable technology solutions. - Present technical strategies, architecture recommendations, and investment proposals to senior leadership. - Influence engineering culture, innovation, and organizational technical direction. **Required Technical Skills** **Software Engineering** - Expert-level experience in PHP (Laravel/Symfony). - Strong expertise in Java and Spring Boot. - Proven experience architecting large-scale enterprise systems. - Deep understanding of: - Object-Oriented Design - Domain-Driven Design (DDD) - Design Patterns - SOLID Principles - Distributed Systems - Strong experience designing REST APIs, GraphQL, and service-oriented architectures. - Hands-on experience with JavaScript, HTML, CSS, and modern UI integration patterns. **Cloud & Platform Technologies** - Deep expertise in AWS, Azure, or Google Cloud Platform. - Strong experience with: - Docker - Kubernetes - CI/CD Pipelines - Infrastructure-as-Code - Platform Engineering - Experience with cloud security, identity management, and zero-trust architectures. - Knowledge of service mesh and modern cloud networking architectures. **AI/ML & GenAI** - Experience building and scaling AI-powered applications in production environments. - Strong understanding of: - Machine Learning lifecycle - MLOps - Generative AI architectures - Retrieval-Augmented Generation (RAG) - Prompt Engineering - Embedding Models - Vector Databases - Knowledge Graphs - Experience with: - Azure OpenAI - OpenAI APIs - AWS Bedrock - Google Vertex AI - LangChain - Semantic Kernel - LlamaIndex - MCP (Model Context Protocol) - Experience building AI Agent and Agentic Workflow solutions with tool integration and orchestration capabilities. **Data & Integration** - Advanced SQL expertise in PostgreSQL, MySQL, Oracle, or SQL Server. - Experience with