First American (India)

• Design, build, and maintain LLM-powered solutions including custom GPTs and domain-specific assistants. • Develop and optimize prompts, system instructions, and context strategies for accuracy and reliability. • Implement prompt chaining, tool calling, and basic agentic workflows. • Build and support Retrieval-Augmented Generation (RAG) pipelines using vector databases. • Evaluate, test, and improve LLM outputs using defined quality and safety criteria. • Apply responsible AI principles, safety guardrails, and governance standards in all implementations. • Develop full stack AI-enabled applications including backend services, APIs, and UI integrations. • Integrate LLM capabilities into existing enterprise applications. • Build reusable services and components to support AI features. • Debug and resolve application or AI-related issues impacting functionality or user experience. • Develop and deploy AI solutions on Azure and/or AWS. • Support CI/CD pipelines for application and AI workloads. • Assist with MLOps workflows including model versioning, deployment, and monitoring. • Ensure solutions are secure, reliable, and cost-aware in production environments.

Role Description HOW YOU'LL CONTRIBUTE - Participate in design of secure IAM architectures across multiple platforms (AWS, Azure, Entra ID), ensuring all components align with best practices and organizational security requirements. - Develop security controls for IAM, including user authentication, authorization, role management, identity federation, and privilege management across cloud and hybrid environments. - Establish and maintain a Zero Trust security model for IAM, ensuring that all access requests are continuously verified, regardless of location or network. - Integrate Zero Trust principles with cloud-native security tools and IAM platforms (e.g., AWS, Azure, Entra ID) to ensure seamless, secure, and dynamic access control. - Automate risk-based access controls and adaptive authentication based on behavioral signals, ensuring a dynamic response to security events. - Establish and enforce least privilege access principles for all roles across cloud and on-prem environments, ensuring users only have the minimal access necessary to perform their job functions. - Design and implement Just-in-Time (JIT) access control mechanisms to dynamically grant access based on user needs, significantly reducing standing permission sets. - Design SSO solutions that provide seamless and secure access to enterprise applications, ensuring a frictionless user experience while maintaining high security standards. - Lead the adoption of modern authentication protocols (e.g., OAuth 2.0, OpenID Connect, SAML) for secure, scalable, and standardized access management across applications and systems. - Implement and manage MFA solutions to enhance authentication security, applying risk-based policies to ensure strong protection for sensitive data and critical resources. - Develop and integrate IAM security controls with cloud platforms such as AWS, Azure, and Entra ID, ensuring secure access management across both public and hybrid cloud environments. - Work closely with cloud engineers and architects to align IAM security protocols with cloud service provider best practices, while ensuring compliance with industry standards. - Leverage native security features of cloud platforms (e.g., AWS IAM, Azure AD, Entra ID) to design scalable, secure, and automated IAM solutions. - Lead the migration process from Hybrid Active Directory to Entra-ID based authentication to ensure minimal disruption and proper synchronization and federation across systems. - Develop and maintain security governance frameworks for IAM, focusing on identity lifecycle management, role-based access control (RBAC), user provisioning, deprovisioning, and enforcement of least privilege. - Ensure proper identity governance and access reviews are conducted regularly, documenting changes and exceptions as part of compliance audits. - Collaborate with cross-functional teams, including application security, network security, infrastructure, and DevOps, to integrate IAM security best practices across systems and services. - Stay up to date on the latest IAM trends, security threats, and technology advancements to continuously improve IAM practices and solutions. - Implement security automation tools and workflows to improve efficiency and reduce manual efforts in identity management and access control. Qualifications - Bachelor’s degree in computer science, Information Security, or related field. - Preferred Certified Information Systems Security Professional (CISSP) or Certified Identity and Access Manager (CIAM) or other relevant IAM/security certification. - 7+ years of experience in IAM security, including at least 5 years of experience in IAM risk assessment, threat modeling, and security control design. - Proven expertise in implementing and securing IAM solutions in cloud environments such as AWS, Azure, and Entra ID. - In-depth knowledge of IAM security best practices, identity governance, and access management policies. - Experience with IAM protocols such as SSO, MFA, OAuth, SAML, OpenID Connect, and identity federation. - Hands-on experience in conducting security risk assessments and threat modeling for IAM systems. - Demonstrated experience in establishing least privilege access and implementing Just-in-Time (JIT) access controls across cloud and on-premises environments. - Expertise in implementing and managing a Zero Trust security posture for IAM, with hands-on experience in identity validation, continuous authentication, and risk-based access controls. - Strong expertise with IAM platforms such as Microsoft Entra ID (Azure AD), AWS IAM, Azure Active Directory. - Experience with cloud security, integrating IAM systems with AWS, Azure, and hybrid environments. - Strong understanding of IAM security controls, including role-based access control (RBAC), attribute-based access control (ABAC), policy enforcement, and Just-in-Time (JIT) provisioning. - Experience in implementing and managing SSO and MFA, with expertise in modern authentication protocols such as OAuth 2.0, OpenID Connect, and SAML. Benefits - 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.

• Responsible for identifying and resolving complex issues reported by users, system requests and handle high priority tickets. • Maintain user and system up-time through effective remote problem solving. • Deliver support for reported problems with desktop computers, laptops, peripherals and mobile devices. • Configure hardware/software to customer specifications. • Evaluate new product versions and recommend upgrade schedules. • Set up and troubleshoot domains, user accounts and software accounts.

• Identify and resolve complex issues reported by users. • Maintain user and system up-time through effective remote problem solving. • Manage multiple customer accounts concurrently. • Ensure support tickets are resolved in accordance with Service Level Agreements. • Configure hardware / software to customer specifications. • Deliver support for reported problems with desktop computers, laptops, peripherals and mobile devices.

• Design, build, and maintain LLM-powered solutions including custom GPTs and domain-specific assistants. • Develop and optimize prompts, system instructions, and context strategies for accuracy and reliability. • Implement prompt chaining, tool calling, and basic agentic workflows. • Build and support Retrieval-Augmented Generation (RAG) pipelines using vector databases. • Evaluate, test, and improve LLM outputs using defined quality and safety criteria. • Apply responsible AI principles, safety guardrails, and governance standards in all implementations. • Develop full stack AI-enabled applications including backend services, APIs, and UI integrations. • Integrate LLM capabilities into existing enterprise applications. • Build reusable services and components to support AI features. • Debug and resolve application or AI-related issues impacting functionality or user experience. • Develop and deploy AI solutions on Azure and/or AWS. • Support CI/CD pipelines for application and AI workloads. • Assist with MLOps workflows including model versioning, deployment, and monitoring. • Ensure solutions are secure, reliable, and cost-aware in production environments.

Role Description This role shall be responsible for identifying and resolving complex issues reported by users, system requests and handle high priority tickets. This position maintains user and system up-time through effective remote problem solving and by working with outside resources and vendors to deliver effective resolution. - Must have experience with remote access systems. - Ability to manage multiple customer accounts at any given time. - Ensure support tickets are resolved in accordance with Service Level Agreements and customer policy/procedures. - Configure hardware/software to customer specifications. - Deliver support for reported problems with desktop computers, laptops, peripherals and mobile devices. - Evaluate new product versions and recommend upgrade schedules. - Set up and troubleshoot domains, user accounts and software accounts. - Format, install, set up, maintain, and troubleshoot desktop and laptop computers with and for end users. Qualifications - Minimum of 15 years of formal education - Graduate/Post Graduate in Commerce. - Professional work experience of 2 to 3 years. Requirements - Demonstrate knowledge of troubleshooting desktops/laptops and basic understanding for networks. - Excellent customer support skills. - Ability to prioritize IT tickets and respond effectively to end user. - Should be able to think on his feet to ensure tickets are closed within SLA. - Ability to multi-task while managing multiple tickets and user requests. - Knowledge of using any ticketing tool such as service first. Technical Skills - Upgrading, supporting and troubleshooting Windows 10 and Microsoft Office 2016 and any other authorized desktop applications. - Upgrading, supporting and troubleshooting for printers, computer hardware and any other authorized peripheral equipment. - Performing general preventative maintenance tasks on computers, laptops, printers and any other authorized peripheral equipment. - Performing remedial repairs on computers, laptops, printers and any other authorized peripheral equipment. - Understanding the working nuances of FAI's existing IT infrastructure. - Preparing to trigger system updates as and when necessary. - Understanding the basic servers in use at FAI. - Being able to effectively diagnose any issues or incidents with servers. - Trigger server updates as and when necessary. - Support development and implementation of new projects and new hardware installations. - Perform configuration and maintenance activities relating to user profiles and policies. - Ensure adherence to the terms of license agreements. Company Description 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 our careers page .

Role Description Senior Full Stack Engineer responsible for building scalable, secure, AI-enabled enterprise applications across modern and legacy stacks, with full ownership across backend, frontend, data, and AI-assisted development workflows, with the ability to navigate complex multi-tenant architectures and enterprise-grade authentication systems. Key Responsibilities - Design, develop, and maintain enterprise applications using C#, ASP.NET MVC, Web API, Angular, and SQL Server - Leverage AI-assisted development tools (e.g., code generation, copilots, automated refactoring) & existing AI frameworks to improve productivity as part of the PDLC - Work across technology stacks spanning .NET Framework 4.x and modern .NET versions - Modernize legacy systems while ensuring stability and scalability - Build secure, scalable REST APIs with OAuth2/JWT authentication - Develop scalable frontend applications using Angular 17 and TypeScript - Optimize database queries, stored procedures, and Entity Framework operations - Implement dependency injection and modular architecture patterns - Troubleshoot and enhance legacy systems while introducing modern engineering practices - Collaborate with QA, DevOps, and business teams to deliver high-quality releases - Participate in code reviews, technical design discussions, and production support - Contribute to CI/CD pipelines and deployment automation - Understanding client-specific business rules and workflows Qualifications - C#/.NET Framework 4.5–4.8 and .NET 9 - ASP.NET MVC 5, Web API 2, WCF, Entity Framework 6 - Angular 17, TypeScript, Angular Forms, Angular CLI - Experience with AI coding assistants (Cursor, Codex, Claude etc) & CLIs - SQL Server and T-SQL development - OAuth2 / JWT, Azure Active Directory Secondary Skills - NUnit, Selenium WebDriver - CI/CD tooling (GitHub Actions, AWS, Artifactory) - Observability - OpenTelemetry Benefits FAI is committed to creating 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.

• Own end-to-end AWS platform architecture and roadmap • Lead AWS hub-and-spoke networking and align Azure hub-and-spoke networking patterns • Define and govern AWS SCPs, IAM policies, and Azure governance • Manage AWS and Azure observability architectures • Champion AI-assisted engineering and automation for platform delivery • Mentor and develop engineering teams • Collaborate across Platform Engineering teams to align standards and multi-cloud guardrails

• Implement and enhance Terraform pipelines in GitHub for AWS Organizations • Design and roll out hub-and-spoke networking • Build and maintain organization-level guardrails • Deploy and operate org-wide AWS Config and Amazon GuardDuty • Drive Terraform IaC migration and enforce infrastructure-as-code-only operations

Role Description We are looking for a Senior Software Engineer-II with 5+ years of experience to join our engineering team. One product is built primarily on .NET, while the other is built using TypeScript/Node.js. 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 multiple technology stacks. The candidate should also have hands-on experience with AI Engineering, especially in areas such as engineering productivity, AI-enabled systems, automation, or intelligent product capabilities. Key Responsibilities - Design, develop, test, deploy, and maintain features - Work on backend services using .NET and TypeScript/Node.js, depending on product requirements - 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 - Apply strong SDLC practices across planning, development, testing, deployment, and support - 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 Qualifications - 5+ years of professional software engineering experience - Strong hands-on experience with .NET / C#, TypeScript, preferably with Node.js - 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 - Strong understanding of the full Software Development Life Cycle - Good problem-solving, debugging, and analytical skills - Comfortable with end-to-end software cycle from development to writing unit/integration/automation tests along with ensuring production stability - Strong communication skills and ability to work collaboratively in a cross-functional team Preferred Skills - Experience with AI Engineering, AI-enabled developer productivity tools, or AI-powered product features - Exposure to LLM-based systems, AI agents, prompt engineering, or applied AI workflows - Experience with containerization and orchestration tools such as Docker and Kubernetes - Experience with observability tools, logging, monitoring, and alerting - Familiarity with secure coding practices and performance optimization - Experience working in agile product engineering teams Tech Stack - Backend: .NET, C#, TypeScript, Node.js - Architecture: Distributed Systems, Microservices - Cloud: AWS and/or Azure - Testing: Unit Testing, Integration Testing, Automated Testing - Engineering Practices: CI/CD, SDLC, Code Reviews, Deployment Ownership - AI Engineering: Productivity tools, AI systems, AI-assisted engineering workflows