Principal I Software Engineer

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…