Staff Engineer

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

Staff Software Engineer

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.

Key Responsibilities

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, with an 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.

Tech Stack

Area

Technologies and practices

Backend

TypeScript, JavaScript, Node.js, REST, GraphQL, .NET, 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

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.