Applications Development Technology Lead – Vice President

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.

Key Responsibilities:

Technical Leadership & Execution

• 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.

Hands-on Technical Leadership

• 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.

People & Process Leadership

• 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.

Required Skills & Experience:

• 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.

Preferred Qualifications:

• 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

Education:

• Bachelor’s degree/University degree or equivalent experience

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Primary Location:

Rutherford