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Job Closed

Senior Software Engineer I

  • Source: Workday
  • First American (India)
  • On-site
  • Bengaluru
  • Full-Time
  • Senior

Job Description

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

Senior Software Engineer I

Role Overview

We are looking for a Senior Software Engineer I with 4+ years of experience to join our engineering team, working on our product built primarily on .NET.

The ideal candidate will be responsible for end-to-end feature delivery, including solution design, development, testing, deployment, and production support. This role requires strong engineering fundamentals, system design, experience building scalable distributed systems, and the ability to work across the .NET technology stack.

The candidate should also have hands-on experience with using AI Engineering.

Key Responsibilities

•    Design, develop, test, deploy, and maintain features

•    Work on backend services using .NET

•    Own feature delivery from requirement analysis to production release

•    Collaborate with product managers, architects, QA engineers, DevOps, and other stakeholders

•    Build scalable, reliable, and maintainable services using distributed systems and microservices architecture

•    Ensure code quality through unit testing, integration testing, code reviews, and engineering best practices

•    Participate in technical design discussions and contribute to architecture decisions

•    Work with cloud platforms such as AWS or Azure for application deployment and operations

•    Contribute to CI/CD pipelines, release processes, observability, and production readiness

•    Explore and contribute to AI Engineering initiatives, such as productivity automation, AI-assisted workflows, or AI-powered system capabilities

•    Troubleshoot and resolve production issues in a timely and effective manner

Required Skills and Experience

•    4+ years of professional software engineering experience

•    Strong hands-on experience with .NET / C#

•    Good understanding of distributed systems, microservices, and scalable backend architecture

•    Experience building and maintaining B2B SaaS products or enterprise-grade software platforms

•    Strong knowledge of software testing practices, including unit testing, integration testing, and automated testing

•    Experience with cloud platforms such as AWS or Azure

•    Familiarity with CI/CD pipelines and deployment processes

•    Good problem-solving, debugging, and analytical skills

•    Comfortable with the end-to-end software cycle, from development through unit, integration, and automation tests, and on to ensuring production stability

•    Strong communication skills and the ability to work collaboratively in a cross-functional team

Preferred Skills

•    Exposure to AI-enabled developer productivity tools or AI-assisted workflows

•    Familiarity with LLM-based systems, AI agents, or prompt engineering concepts

•    Exposure to containerization tools such as Docker

•    Familiarity with observability tools, logging, and monitoring

•    Awareness of secure coding practices

•    Experience working in agile product engineering teams

Ideal Candidate Profile

The ideal candidate is a strong backend engineer in the .NET ecosystem. They should be comfortable owning comple…

Skills

  • dot-net
  • amazon-web-services
  • microsoft-azure
  • c-sharp
  • Docker
  • workday
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