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