Applications Development Technology Lead – Vice President

About the role

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.

Responsibilities

• 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.

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.

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.

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.

Pay

$142,320.00 - $213,480.00

Schedule

Full time