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Applications Development Technology Lead – Vice President
United States, Rutherford Employment contract 142320.00 - 213480.00 USD / Year · Job Posted May 29, 2026
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Job Description
We are seeking a Vice President (VP) of Software Engineering who combines technical leadership with hands-on technical expertise. This role is ideal for a senior software engineer passionate about building software at scale using cloud-native architecture, data engineering best practices, and modern UI development with React, while driving Generative AI adoption for business use cases within a SAFe Agile operating model. You will lead large-scale engineering initiatives, mentor junior engineering talent, and actively contribute to solution design and development.
Job Responsibility
Align engineering initiatives with SAFe Agile principles, ensuring predictable delivery and continuous improvement
Architect scalable, high-performing systems using cloud-native architecture and proven design patterns
Build foundational frameworks across middleware and UI to accelerate development and reduce maintenance overhead
Lead data engineering efforts, including data modeling, data pipelines (ETL/ELT), batch and streaming data processing, data governance (catalog/lineage) and quality engines, big data technologies
Drive Generative AI adoption across product lines, leveraging Python,LLMs, Google’s ADK and AI-driven automation to accelerate SDLC and deliver business value
Actively contributes to product requirements analysis and solution architecture
Lead proof-of-concepts, design and development of critical components, and code reviews
Implement foundational components across Java and React for enterprise-grade applications
Champion AI-based code generation tools to automate repetitive engineering tasks
Collaborate with DevOps teams to optimize CI/CD pipelines, containerization (Docker/Kubernetes), and observability
Mentor and lead a global team of engineers
Foster a culture of innovation, technical excellence, and accountability
Ensure compliance with security, regulatory, and performance standards
Requirements
6+ years in software engineering, with hands-on experience
Proven experience in cloud-native architecture and public cloud platforms (AWS, Azure, GCP)
Strong expertise in microservices, RESTful APIs, and event-driven architectures
Hands-on experience with React, TypeScript, and modern front-end frameworks
Deep experience in data engineering, including pipelines (ETL/ELT), data storage (warehouses, lakes), batch/stream processing, data modeling, governance, and big data technologies
Familiarity with Generative AI technologies (LLMs, prompt engineering, AI integration patterns, Agentic AI)
Strong understanding of SAFe Agile framework and enterprise-scale agile delivery
Knowledge of DevOps, CI/CD, container orchestration, and observability tools
Experience in large-scale financial services enterprise environments
Excellent communication, stakeholder management, and executive reporting skills
Bachelor's degree/University degree or equivalent experience
Nice to have
Experience with Financial Risk and Data
Certifications in Cloud Architecture (AWS/Azure/GCP) and SAFe Agile
Certification in AI/ML technologies such as Google ADK
What we offer
medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages including planned time off (vacation), unplanned time off (sick leave), and paid holidays