Assistant Vice President (AVP) of Software Engineering

We are seeking a 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's 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
• Big data technologies

• Adopt AI-driven automation to accelerate SDLC and deliver business value.
• Actively contributes 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 DevOps 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, Google Cloud Platform).
• 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.
• Clear 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., * Experience with Financial Risk and Data.
• Certifications in Cloud Architecture (AWS/Azure/Google Cloud Platform) and SAFe Agile.
• Certification in AI/ML technologies such as Google ADK

Education:

• Bachelor's degree/University degree or equivalent experience