Applications Development Technology Lead – Vice President

Overview

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
.

• 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 Dev Ops 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
  .

• 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
  , 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.
• 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 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

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