About the position
Join a team that puts its People First! Since 1889, First American (NYSE: FAF) has held an unwavering belief in its people. They are passionate about what they do, and we are equally passionate about fostering an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. Our inclusive, people-first culture has earned our company numerous accolades, including being named to the Fortune 100 Best Companies to Work For list for nine consecutive years. We have also earned awards as a best place to work for women, diversity and LGBTQ+ employees, and have been included on more than 50 regional best places to work lists. First American will always strive to be a great place to work, for all. For more information, please visit www.careers.firstam.com. Be part of a transformative team shaping how First American builds and delivers world-class AI technology products that fuel the real estate industry. We are looking for the best-of-the-best technology experts who will envision, design, build, and deliver innovative solutions that provide exceptional experiences and lasting value to our customers. First American is seeking Senior Software Engineer - AI Platform Engineer candidates to grow our team. An ideal candidate has strong technical expertise, a product mindset, and takes a hands-on approach to building high-quality, sustainable software products. As a Senior Software Engineer - AI Platform Engineer, you will lead projects as part of a small, focused engineering delivery team to build fast, clean, reliable code that drives business value for our customers. You will help design and implement our technical architecture, software, and tooling used to deliver and operate our core, mission-critical, AI platform. You will be a part of a transformative team whose mission is to build the AI platform for First American using modern tools, techniques, and cloud-native services.
Responsibilities
- Set the example in driving individual user stories to completion from start to finish.
- Assess and identify risks that may be present to achieving the team's larger goals.
- Document best practices and strategies regarding application deployment and infrastructure maintenance.
- Work in tandem with our engineering teams and leaders to identify and implement optimal AI solutions for the company.
- Implement high-quality, secure, and observable solutions.
- Contribute to reviews of designs, code, artifacts, and metrics.
- Assist the team in achieving ambitious goals, providing regular feedback, and driving continuous improvement.
- Participate in all aspects of our software development lifecycle for AI solutions, including planning, defining requirements, developing, and testing those solutions with the team.
Requirements
- 5+ years of experience as a software engineer.
- Experience with AWS Cloud Services, Google Cloud Services, or Azure Cloud Services.
- Experience driving engineering best practices for high-functioning software engineering teams through effective use of tools and automation.
- Passion and expertise for building large-scale, back-end services and APIs using modern architectures (Macro / Mini / Micro Services).
- A strong understanding of software engineering principles and modern infrastructure operations.
- Ability to build robust, high-scale, generic, and reusable solutions.
- Ability to mentor and influence software engineers to share knowledge and improve quality.
- Ability to unblock yourself and help accelerate the team in achieving their goals.
- Familiarity with deployment and observability strategies that support continuous delivery and high availability in a cloud-native environment.
- An outcome-oriented approach using metrics and data to understand development productivity metrics (e.g., code churn, commit size, test coverage, etc.) that inform areas for continuous improvement.
- Effective verbal and written communication skills, with strong relationship, collaborative, and organizational skills.
Nice-to-haves
- Containerized development (Docker).
- Kubernetes.
- Relational (MS SQL Server, PostgreSQL) and NoSQL (DynamoDB) databases.
- Automated software testing (unit, integration, contract).
- Infrastructure automation tooling such as Terraform and Ansible.
- Working within a highly regulated industry such as Financial Services or Healthcare.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401k
- PTO/paid sick leave
- Employee stock purchase plan
