About The Role

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

Role Overview

We are looking for a highly hands-on Staff Software Engineer to provide technical leadership to join our engineering team. This is a senior individual contributor role with no direct reports.

The ideal candidate will lead cross-team and cross-product initiatives, contribute directly to production software, establish engineering guardrails, build reusable frameworks and AI capabilities, and mentor senior engineers and technical leads. AI-assisted engineering is a baseline expectation. Strong experience with AWS, TypeScript/Node.js, React/Next.js, distributed systems, data architecture, security, and AI Engineering is required.

Competencies

Lead cross-team and cross-product initiatives from design through production adoption
Design, develop, test, deploy, debug, and operate critical production software
Define architectural principles and guardrails while preserving team autonomy
Review high-risk designs for tradeoffs, failure modes, security concerns, and integration risks
Build shared frameworks, libraries, services, and tooling that improve quality and delivery speed
Create reusable AI workflows, evaluations, validation mechanisms, and safety guardrails
Apply AI responsibly across design, coding, testing, documentation, debugging, and analysis
Establish standards for design, testing, code review, CI/CD, and release readiness
Improve reliability, scalability, performance, security, and observability
Lead major cross-product incident response and drive preventive actions
Design APIs, event-driven systems, distributed workflows, integrations, and data models
Translate product direction into technical strategies and implementation plans
Mentor senior engineers and technical leads and contribute to technical hiring

Required Skills and Experience

Demonstrated Staff Engineer-level impact across multiple teams, products, or domains
Experience leading complex initiatives through production delivery and adoption
Strong hands-on full-stack engineering skills and willingness to contribute directly to implementation
Deep experience with AWS and cloud-native, scalable, secure, and observable architectures
Strong proficiency with TypeScript, JavaScript, Node.js, REST, GraphQL, React, Next.js, frontend architecture and microservices
Strong understanding of distributed and event-driven systems, including consistency, idempotency, retries, concurrency, and failure recovery
Proficiency with AI-assisted development tools and agentic engineering workflows
Ability to decompose work for AI agents, engineer context and constraints, define success criteria, and automate evaluation. Understanding of AI limitations, trust boundaries, failure modes, data sensitivity, and human-review requirements
Strong knowledge of application security, IAM, threat modeling, secure development, and data protection
Experience designing reliable, scalable, observable, and operationally supportable systems
Strong architectural judgment and experience building reusable capabilities adopted by multiple teams
Ability to mentor senior engineers and influence technical decisions without formal authority
Strong communication skills across engineering, product, architecture, and leadership groups

Preferred Skills

Experience building internal AI agents, evaluation systems, context frameworks, or AI safety guardrails
Experience defining engineering standards across multiple teams
Experience improving developer productivity through shared platforms, automation, or paved-road solutions
Experience with AWS services such as Lambda, ECS, EKS, API Gateway, EventBridge, Step Functions, S3, and DynamoDB
Experience with infrastructure as code, CI/CD, automated quality gates, and progressive delivery
Experience with Datadog, CloudWatch, distributed tracing, service-level objectives, and incident reviews
Experience modernizing complex systems or building B2B SaaS and enterprise software platforms

Ideal Candidate Profile

The ideal candidate is a hands-on technical leader who can move between organization-level architecture and production implementation. They define technical direction, build foundational software, and help multiple teams adopt it successfully.

They think in systems, lead through influence, and mentor technical leaders. They apply AI Engineering with discipline, using context, constraints, evaluations, and human-review boundaries to improve delivery safely. They are motivated by reusable systems, stronger engineers, safer delivery, and more reliable products.

Technical Skills

Backend: TypeScript, JavaScript, Node.js, REST, GraphQL. dotnet, C#
Frontend: React, Next.js
Architecture: Distributed Systems, Microservices, Event-Driven Architecture
Cloud: AWS, Serverless and Cloud-Native Services, Infrastructure as Code
Data: Relational and NoSQL Databases, Data Integration and Integrity
Security: IAM, Threat Modeling, Application and Cloud Security
Engineering Practices: CI/CD, Automated Testing, Observability, Reliability, Code and Design Reviews
AI Engineering: Coding Agents, Agent Workflows, Context Engineering, Evaluations, Validation, and Guardrails

Educational Qualification

Minimum of 15 years of formal education - Graduate / Post Graduate in Computer Science / Information Technology.

Professional work experience of 8 to 12 years.

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.