Full Stack Senior Software Engineer (Remote in CA)

First American•Santa Ana, CA

10d•$129,300 - $172,300•Remote

About The Position

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.

Requirements

5+ years of software development experience using Python and building cloud-native applications in Azure (AWS experience also considered).
Bachelor's degree in Computer Science or equivalent combination of education and experience.
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.
Excellent communication skills and ability to collaborate across technical and business teams.

Nice To Haves

Experience with Docker and Kubernetes preferred.
Familiar with Ruby on Rails or willing to learn it.
Experience with event-driven architecture and messaging platforms.
Experience with application observability leveraging OpenTelemetry.

Responsibilities

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.