Full Stack Senior Software Engineer

Role Description

We are seeking a highly skilled Full Stack Senior Software Engineer to design and implement secure, scalable, cloud-native software solutions that power next-generation financial applications. In this role, you will contribute hands-on development while supporting architecture and design decisions across modern web applications, APIs, and distributed services.

If you are passionate about exploring new technologies and have a demonstrated track record of delivering innovative features and products, we would like to hear from you. You will collaborate with cross-functional teams, including Product, Architecture, UX, DevOps, and Security, to design, develop, and integrate AI-enabled capabilities such as intelligent automation, LLM-powered services, RAG-based solutions, and API-driven AI integrations. You will help translate emerging ideas into reliable, production-ready systems that deliver measurable business value.

This position offers the opportunity to work with a talented team while operating autonomously with minimal supervision. A strong background in modern software development, cloud platforms, and agile methodologies is essential. Experience building, integrating, or operating AI-powered applications, and using AI-assisted development tools to improve delivery, is highly valued.

Qualifications

• 5+ years of software development experience using Python and building cloud-native applications in Azure (AWS experience also considered).
• Experience developing modern web applications with React and JavaScript/TypeScript.
• Strong understanding of object-oriented programming, software design patterns, and application architecture.
• Experience designing and consuming REST APIs.
• Experience working with relational databases (PostgreSQL, SQL Server, MySQL).
• Experience conducting code reviews and mentoring other engineers.
• Experience working in Agile development environments.
• Familiarity with CI/CD, DevOps, and modern software development best practices.
• Experience integrating AI capabilities into applications, including Azure OpenAI, LLMs, RAG, or vector databases.
• Experience with Docker and Kubernetes preferred.
• Excellent communication skills and ability to collaborate across technical and business teams.
• Bachelor's degree in Computer Science or equivalent combination of education and experience.

Requirements

• Design, develop, test, deploy, and maintain secure, scalable applications in an Azure cloud environment.
• Build full-stack solutions using Python, React, JavaScript/TypeScript, REST APIs, and microservice architectures.
• Modify and enhance existing applications; contribute to product delivery through coding and pull request reviews.
• Design, develop, and integrate AI-powered capabilities, including LLM integrations, RAG, agentic workflows, and intelligent automation, using platforms such as Azure OpenAI.
• Implement and maintain AI orchestration and inference pipelines, ensuring performance, cost efficiency, observability, and responsible usage.
• Apply software engineering best practices (testing, monitoring, CI/CD, observability, secure SDLC) to production systems, including AI-driven applications.
• Evaluate and prototype emerging AI tools and frameworks; leverage AI-assisted development tools to accelerate design, coding, testing, and code review.
• Ensure data privacy, security, governance, and compliance when building and deploying AI-enabled functionality.
• Independently define and prioritize goals and tasks in a fast-paced agile product environment with small, focused teams.
• Collaborate with Solution Architects and stakeholders to align on design plans, troubleshoot production issues, and drive durable solutions.
• Mentor engineers on software engineering best practices, cloud-native architecture, and AI integration patterns.
• Propose solutions to complex problems, build consensus among the team, and influence technical direction.

Benefits

• Comprehensive benefits package including medical, dental, vision, 401k, PTO/paid sick leave.
• Employee stock purchase plan.