Applications Development Analyst – Assistant Vice President

Overview

We are seeking an Assistant Vice President (AVP) of Software Engineering who combines deep technical knowledge 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 be part of large-scale engineering initiatives, work with top engineering talent, and actively contribute to solution design and development.

• Contribute to architecture of scalable, high-performing systems using cloud-native architecture and proven design patterns.
• Contribute to Generative AI adoption across product lines, leveraging Python, LLMs, and Agentic platforms and tools such as Google Vertex AI and ADK.
• Contribute to foundational frameworks across middleware and UI to accelerate development and reduce maintenance overhead.
• Contribute to data engineering efforts, including data modeling, data pipelines (ETL/ELT), batch and streaming data processing, data governance (catalog/lineage) and quality engines, and big data technologies.
• Adopt AI-driven automation to accelerate SDLC and deliver business value.
• Actively contribute to product requirements analysis and solution architecture.
• Work on proof-of-concepts, design and development of critical components, and code reviews.
• Implement foundational components across Java, Python, and React for enterprise-grade applications.
• Champion AI-based code generation tools to automate repetitive engineering tasks.
• Collaborate with Dev Ops teams to optimize CI/CD pipelines, containerization (Docker/Kubernetes), and observability.

• 5+ years in software engineering, with hands-on experience
• Proven experience implementing business use cases in Generative AI technologies (LLMs, prompt engineering, AI integration patterns, Agentic AI)
• 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, Type Script, 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
• Clear understanding of SAFe Agile framework and enterprise-scale agile delivery
• Knowledge of Dev Ops, CI/CD, container orchestration, and observability tools
• Experience in large-scale financial services enterprise environments
• Excellent communication, stakeholder management, and executive reporting skills

• 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

• Bachelor’s degree/University degree or equivalent experience