Principal Software Engineer (Director-Level) – Full Stack & Cloud AI Platforms

Summary Description

We are seeking a highly experienced and innovative Principal (Director Level) Software Development Engineer to lead the application architecture, design, development, delivery of next-generation digital applications (including Reporting and financial solutions), and optimization of scalable, secure, and high-performance solutions leveraging AI across all major cloud platforms (AWS, Azure, and Google Cloud Platform). This role requires deep technical expertise, AI-enabled solutions, strategic thinking, scalable digital platforms, and enterprise integrations that power critical healthcare and pharmacy experiences and a passion for driving excellence in software engineering practices.

This is a senior technical leadership role for a hands-on engineer who can operate across the full stack—from intuitive front-end applications to resilient backend services—while setting architectural direction, influencing engineering standards, and mentoring teams.

The ideal candidate combines deep technical expertise, platform thinking, and strong collaboration skills to build secure, scalable, Frontend and API-first solutions in a highly regulated environment.

Do you enjoy innovation which having fun doing it? If the answer yes, then this role might be for you!  Join us and be part of something bigger, innovative and simplification in healthcare.

Key Responsibilities:

• Define and communicate the broader vision, executing the IT strategy in alignment with organizational standards
• Serve as the primary point of contact for stakeholders, including architects, application owners, and engineers, to define overall strategy, prioritization, and execution
• Establish epics and initiatives that align with strategic goals and support the product roadmap
• Develop and maintain roadmaps that align critical business needs with scalable technical solutions
• Leverage performance data to create feedback loops that drive continuous insight and improvement
• Champion strong product management and agile mindsets by actively communicating team successes and identifying areas for growth
• Build and lead high-performing teams capable of overcoming complex technical challenges to solve business-critical problems

Required Qualifications

• 20+ years of software engineering experience, architecture and delivery cloud native platforms
• 5+ years in hands on experience as senior/principal/architect roles with cloud technologies such as Google Cloud Platform, AWS, AZURE, GKE, Google DBs (Bigquery, Spanner, BigTable) or other PaaS Technologies
• Experience with AI development tools such as Cursor, Copilot, Vertex AI Studio,  Claude Code, will be a plus
• Experience with front end development using Angular, React, React TypeScript, React JS
• Experience in building backend functionality using Python, API Forge, Rest API, Java
• Experience working in a Scrum iterative delivery, using Agile concepts such as Sprint planning, CI/CD
• Strong full-stack development experience
• Experience working with enterprise solution delivery
• Proven experience designing distributed systems at scale
• Expertise in API-first and microservices architectures
• Hands-on experience integrating AI/GenAI capabilities
• Experience building cloud-native applications
• Strong system design and problem-solving skills
• Excellent communication and cross-functional collaboration skills

Preferred Qualifications

• Experience building enterprise healthcare or regulated-industry platforms
• Familiarity with healthcare data, privacy, and compliance requirements
• Exposure to MLOps and AI lifecycle management
• Experience with identity, security, and privacy architectures
• Track record of influencing architecture across large organizations
• Experience contributing to platform or developer ecosystem strategies
• Strong foundational knowledge in AI, with prior experience using AI technologies such as OpenAI, Gemini, and Agentic AI automation
• Experience in building and managing large-scale enterprise platforms
• Experience in the healthcare domain
• Experience with back-end applications and/or APIs
• Experience with cloud networking and firewall implementation for new platforms.
• Excellent teamwork and collaboration skills, with a growth mindset focused on agility and continuous development
• Solid understanding of core programming and computer science concepts, including cloud computing, AI/ML, microservices architecture, and NoSQL databases
• Experience with application and database migration and modernization to the cloud

Architecture & System Design

• Define and drive architecture for large-scale distributed systems and digital platforms
• Lead design reviews and set architecture standards and best practices
• Champion API-first, microservices, and event-driven architecture patterns
• Ensure systems meet scalability, reliability, security, and compliance requirements
• Balance performance, cost, and speed in technical decision-making

Full-Stack Engineering

• Design and develop end-to-end solutions across UI, backend, and data layers
• Build modern web applications (front end) using React, Angular, TypeScript, Modern UI frameworks or similar frameworks
• Develop scalable services and APIs (Back end) using Java, Go, Node.js, or Python
• Optimize performance, resiliency, and security across the stack

AI & Intelligent Solutions

• Integrate AI/ML and Generative AI capabilities into digital experiences
• Work with LLM APIs, prompt orchestration, and AI service frameworks
• Partner with data and ML teams to productionize models
• Implement responsible AI practices, governance, and monitoring

Platform Engineering

• Build and evolve shared platforms, SDKs, and reusable services
• Drive platform standardization and developer experience improvements
• Design for multi-tenant, high-availability, and enterprise scale
• Enhance CI/CD pipelines and automation

Integrations

• Lead enterprise integrations using APIs, messaging, and event streaming
• Design secure B2B and internal system integrations
• Ensure observability, resilience, and fault tolerance
• Support both real-time and batch integration patterns

API & Integration

• REST
• GraphQL (Apollo Federation or similar)
• gRPC
• Event-driven architecture
• Kafka or similar messaging systems

Technical Leadership

• Act as a technical advisor to engineering and product leadership
• Influence cross-team technical direction and strategy
• Establish and promote engineering best practices
• Mentor and coach engineers across levels

Cloud & DevOps

• AWS, Azure, or Google Cloud Platform
• Kubernetes and Docker
• CI/CD pipelines
• Infrastructure as Code (Terraform or similar)
• Observability tools (Datadog, Prometheus, Grafana, etc.)

Data

• SQL and NoSQL databases
• Caching (Redis or similar)
• Streaming/event platforms

Education

• Bachelor’s degree in Computer Science, Engineering, or related field required
• Master’s degree in Computer Science or related discipline preferred
• Equivalent practical experience will also be considered