Data Nexus AI is seeking a highly experienced Principal (Director Level) Software Development Engineer to lead the architecture, design, and delivery of next-generation digital applications. This senior technical leadership role involves working across the full stack to build scalable, secure solutions leveraging AI, while mentoring teams and influencing engineering standards.
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
Requirements:
- 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
- Bachelor's degree in Computer Science, Engineering, or related field required
- 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
- Master's degree in Computer Science or related discipline preferred
- Equivalent practical experience will also be considered