Company Summary
First American (India) is a GCC (Global Capability Center) of the First American Financial Corporation (NYSE: FAF) family of companies. FAI is a proud member of the FORTUNE 500 companies and has been amongst the Fortune 100 Best Companies to Work For® list for eight consecutive years. First American Financial Corporation provides comprehensive title insurance, closing/settlement, property data and technology solutions. First American (India) creates quality solutions for its customers by combining software, back office, and knowledge processing operations to fulfill First American's business requirements. Our priorities are our employees, customers, and shareholders - in that order. First American (India) has been ranked amongst India's Best Companies To Work For™ 2023: Listed amongst the Top 100 by Great Place To Work® India, FAI is also certified Best Workplaces for Women and Workplace with Inclusive Practices. Software Services helps build First American's product suite that encompasses the best in class Title Insurance, Settlement and Mortgage solutions platforms. Leverages technology product stack across Microsoft platform predominantly to develop, enhance and maintain the best in class applications. The R & D division delivers solutions for the title insurance industry leveraging the best of NLP, AI and ML.
Job Summary
Job Summary
ABOUT FIRST AMERICAN INDIA
First American (India) Private Limited (“FAI”) is a Global Capability Centre (GCC) of the First American Financial Corporation (FAF: NYSE) — a leading provider of title insurance, settlement services, and risk solutions for real estate transactions since 1889.
FAI delivers:
- Software Development
- IT Infrastructure
- Data & Analytics
- Back-office Operations
- Knowledge-Processing Services
to support First American’s global operations across the US, UK, Australia, and Canada.
We build technology that powers millions of real-estate transactions, with a people-first culture that encourages innovation, collaboration, and solving real-world problems at scale.
ROLE SUMMARY
As a Senior Software Engineer (SSE1) — Full Stack, you will help shape and deliver high-impact modernization initiatives at FAI.
You will:
- Probe stated and unstated business needs
- Translate complex functional requirements into clean system designs
- Build cloud-native, AI-assisted full-stack applications
- Simplify, accelerate, and outperform legacy workflows
You will own modules end-to-end across:
- Python services
- NestJS APIs
- Next.js / React front-ends
- TypeScript applications
while adhering to the team’s coding standards and a continuous Build–Integrate–Test (Agile) approach.
You will also apply:
- Strong debugging and performance-tuning concepts
- Peer code review practices
- AI-assisted developer tools such as:
- Cursor
- Claude Code
- GitHub Copilot
to accelerate delivery without compromising quality.
STRATEGIC FOCUS — PLATFORM MODERNIZATION
Re-platform business-critical capabilities into modern, in-house microservices and React / Next.js experiences on AWS.
Key Goals
- Improve total cost of ownership
- Increase performance and observability
- Accelerate product velocity
- Raise the engineering bar through AI-assisted development practices
OBJECTIVES OF THE ROLE — WHAT YOU’LL DO
- Partner with business analysts, product managers, and domain SMEs to discover, document, and translate complex business workflows into modern microservices and UIs.
- Design and deliver scalable, secure, event-driven full-stack features using:
- Python (FastAPI / Django)
- NestJS
- Next.js
- React
- TypeScript
- Build and consume well-documented:
- REST APIs
- GraphQL APIs
- OpenAPI / Swagger specifications
- Author data extraction, transformation, and migration utilities to move data from legacy systems into modern PostgreSQL and DynamoDB stores.
- Collaborate on AWS-native deployments using:
- Lambda
- ECS / EKS
- S3
- RDS
- DynamoDB
- Work with:
- CI/CD pipelines
- Infrastructure-as-Code practices
- Champion AI-assisted development using:
- Cursor
- Claude Code
- GitHub Copilot
- Troubleshoot, debug, and performance-tune applications across the stack.
- Participate in operational excellence and on-call rotations for production workloads.
- Mentor associate engineers, share learnings, and help establish reusable patterns and platform building blocks for other teams across FAI.
TECHNICAL SKILLS
Futuristic, Cloud-Native Stack
An ideal candidate should have hands-on experience across the following technologies.
Must-have technologies and Nice-to-have technologies are listed below.
FRONT-END
- React.js
- Next.js (App Router)
- TypeScript
- HTML5 / CSS3
- Tailwind CSS / Shadcn UI
- React Query / Zustand
BACK-END
- Python (FastAPI / Django)
- NestJS (Node.js)
- TypeScript
- REST APIs
- OpenAPI / Swagger
- GraphQL
- Microservices & Event-Driven Patterns
DATABASE
- PostgreSQL
- DynamoDB
- Redis
- OpenSearch / Elasticsearch
CLOUD & DEVOPS
- AWS (Lambda, ECS / EKS, S3, RDS)
- CI/CD Pipelines
- Git / GitHub / GitLab
- Terraform / CloudFormation
- Docker / Kubernetes
AI-ASSISTED ENGINEERING
- Cursor
- Claude Code
- GitHub Copilot
- LLM-driven Test & Migration Tooling
REQUIRED QUALIFICATIONS
- Bachelor’s or Master’s degree in:
- Computer Science
- Information Technology
- or a related discipline
- Minimum 5+ years of hands-on full-stack software engineering experience
- Strong hands-on experience with:
- Proven experience building:
- React.js / Next.js front-ends
- NestJS / Python service back-ends
- Working knowledge of:
- AWS
- Microservice architecture
- PostgreSQL and/or DynamoDB
- Experience with:
- AWS Lambda
- Step Functions
- SNS/SQS
- Kafka
- Event-driven architectures
- Familiarity with:
- Git-based version control
- Agile / Scrum
- JIRA-based delivery practices
- Detail-oriented mindset focused on delivering high-quality, efficient, and maintainable software
- Effective communication skills with the ability to work collaboratively across teams
NICE TO HAVE
- Exposure to Salesforce:
- Administration
- Development
- Integrations
- Hands-on experience designing and productionizing AI use cases such as:
- LLM-powered features
- RAG systems
- Agentic workflows
- ML inference services
- Background in observability tooling:
- CloudWatch
- Datadog
- OpenTelemetry
- Exposure to applying LLMs to internal developer productivity
WHAT MAKES YOU A GREAT FIT
You:
- Think in platforms and systems
- Bring a strong product mindset
- Obsess over user outcomes and business value
- Understand the “why” behind every feature
- Balance technical depth with empathy for the customer
You navigate ambiguity well, are passionate about transforming real-estate technology, and are energized by building modern, cloud-native, AI-augmented experiences.
FAI is committed to create an environment that respects, supports and inspires all individuals. We do not discriminate on the basis of color, religion, sex, gender identity, sexual orientation and age. At FAI, we celebrate diversity and believe that an inclusive workforce benefits employees, the organization and our community. We are an Equal Opportunity Employer. For more information about our company and dedication to putting People First, check out
https://firstam.wd1.myworkdayjobs.com/faicareers.