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The Principal Software Engineer is responsible for leading the design, development, and evolution of scalable, resilient, reliable, and intelligent software systems. This role combines deep technical leadership with hands-on engineering expertise and requires a customer-centric, forward-looking mindset to integrate AI-driven development practices and agent-based architectures into modern software delivery.

The Principal Software Engineer serves as a technical authority and innovation leader, shaping architecture, mentoring engineers, and driving engineering excellence. Expertise in cloud-native architectures, modern development frameworks, and software engineering best practices is essential for delivering high-quality, secure, and scalable solutions.

• Design and develop full-stack applications while ensuring alignment with enterprise architecture standards.
• Participate in Agile software development practices and collaborate effectively with cross-functional teams.
• Design, modify, develop, and implement modern application components, tools, and services that support strategic business objectives.
• Build scalable, maintainable, resilient, and highly available distributed systems.
• Apply software security best practices throughout the Software Development Life Cycle (SDLC).
• Identify, prevent, and remediate security vulnerabilities to protect systems and sensitive data.
• Serve as a technical leader and mentor, promoting innovation, accountability, and engineering excellence.
• Contribute to architectural decisions and technology strategy.

• Leverage AI-assisted development tools (e.g., GitHub Copilot and similar technologies) to improve engineering productivity and code quality.
• Design and implement agentic workflows throughout the software development lifecycle.
• Utilize AI technologies for:
  • Code generation
  • Code refactoring
  • Code optimization
  • Automated code review
  • Quality analysis
  • Intelligent test generation
  • Defect detection
• Develop and integrate AI-powered applications and services.
• Build customer-facing solutions utilizing Large Language Models (LLMs).
• Implement AI-driven automation for engineering and operational processes.
• Develop multi-agent workflows for orchestration and automated decision-making.
• Apply advanced AI solution patterns including:
  • Retrieval Augmented Generation (RAG)
  • Prompt engineering
  • Context management
  • Agent orchestration
  • Tool integration
• Ensure secure, compliant, and responsible use of AI technologies, particularly when handling regulated financial data.

• Bachelor's degree in Computer Science, Software Engineering, Engineering, Mathematics, or a related technical discipline.
• 7+ years of hands-on software development experience delivering and supporting commercial software applications.
• Demonstrated experience leading, mentoring, and developing engineering talent.
• Strong experience developing applications using Node.js and modern Node.js frameworks.
• Hands-on experience with Java, Spring, and Spring Boot.
• Experience with modern front-end frameworks such as Angular, React, or similar technologies.
• Strong understanding of authentication and security protocols including OAuth and SAML.
• Experience implementing security controls and protecting enterprise systems and data.
• Experience building and supporting containerized applications using Docker, Kubernetes, and/or OpenShift.
• Cloud platform experience with AWS, Microsoft Azure, and/or Google Cloud Platform (GCP).
• Experience developing and deploying solutions that manage sensitive or regulated data.
• Strong knowledge of Software Development Life Cycle (SDLC) processes.
• Experience with CI/CD pipelines and DevOps tooling, including:
  • Jenkins
  • Harness
  • Git
  • Bitbucket
  • Nexus
• Experience with relational databases including:
  • MySQL
  • PostgreSQL
  • Oracle
• Experience with NoSQL databases such as MongoDB.
• Strong understanding of data structures and algorithms.
• Experience utilizing code quality and code coverage tools.
• Strong verbal, written, and interpersonal communication skills.
• Hands-on experience using AI-assisted development tools such as GitHub Copilot or equivalent.
• Familiarity with Large Language Models (LLMs) and AI application development concepts.

• Experience developing applications with Go and/or Python.
• Experience working with streaming and event-driven platforms including:
  • Kafka
  • Amazon Kinesis
  • Amazon SQS
  • Apache Storm
• 3+ years of experience within financial services, consumer banking, wealth management, or trading environments.
• Understanding of banking systems, operations, and financial services processes.
• Experience with Domain-Driven Design (DDD).
• Experience implementing Command Query Responsibility Segregation (CQRS).
• Cloud certifications such as:
  • AWS Certified Solutions Architect
  • AWS Certified Developer
  • Equivalent Azure or GCP certifications

• Node JS
• Java
• Python
• GO

• Angular
• React

• Spring
• Spring Boot
• Node.js Frameworks

• AWS
• Azure
• GCP

• Docker
• Kubernetes
• OpenShift

• MySQL
• PostgreSQL
• Oracle
• MongoDB

• Jenkins
• Harness
• Git
• Bitbucket
• Nexus

• OAuth
• SAML
• Secure SDLC Practices

• GitHub Copilot
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• Agentic AI Workflows
• Agent Orchestration
• AI Automation

• Lead digital-first banking transformation initiatives.
• Drive adoption of AI-powered and agentic software engineering practices.
• Influence enterprise architecture and next-generation development methodologies.
• Partner with engineering leaders to shape the future of software delivery and innovation.