Principal Full-Stack Software Development Engineer

Role: Principal Full-Stack Software Development Engineer

Location: Dallas TX (Remote)

Duration: 6 Months

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

• 12 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 GCP 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 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 GCP
• 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

Key Skills: Java Fullstack Azure AWS React Python SQL API AI Tools Micro services