AI First Senior Software Engineer

Tampa, Florida, United States. Salt Lake City, Utah, United States

AI First Senior Software Engineer

  • 202602401
  • Salt Lake City, Utah, United States
  • Tampa, Florida, United States
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Description

The Role

We are seeking a Senior Software Engineer with deep expertise in server-side rendered React, TypeScript and modern backend frameworks including Node.js and C#/.NET, to architect and deliver our AI-driven applications. This role requires strong experience building high-performance SSR frontends with a focus on first-load optimization, hydration, accessibility, and scalable component architecture. You will design and evolve cloud-native services in Azure, implement robust CI/CD pipelines, and ensure observability and operational excellence across environments. The ideal candidate has experience designing distributed systems, working with both document and relational databases, mentoring engineers, and partnering cross-functionally to deliver scalable, maintainable solutions. 

The Responsibilities

  • AI-First Development: Implement AI-driven features across the full software development lifecycle (SDLC), ensuring high performance, scalability, and reliability of our applications. 

  • Frontend Development: Build high-performance, server-side rendered React applications using TypeScript, emphasizing first-load optimization, accessibility and scalable component design. 

  • Backend Development: Design, implement, and maintain backend services using C#/.NET and Node.js, ensuring robust APIs and services that integrate with AI models and databases. 

  • Database Architecture: Design and optimize data models across document and relational databases, focusing on indexing strategies, performance tuning, and scalability at production scale. 

  • Infrastructure as Code: Implement infrastructure as code (IaC) using Terraform to deploy and manage cloud resources on Azure, ensuring efficient and reliable cloud infrastructure. 

  • Cloud Deployment: Build and maintain cloud-native applications with Azure services, ensuring high availability, security, and cost-effectiveness. 

  • CI/CD Pipeline: Implement and maintain continuous integration and continuous delivery (CI/CD) pipelines to streamline development and deployment processes. 

  • Collaboration: Work closely with engineers, product managers, and UX/UI designers to deliver end-to-end AI-powered features. 

  • Mentorship: Mentor junior and mid-level engineers, provide code reviews, and contribute to the professional growth of team members. 

  • Innovation: Stay up to date with the latest trends in AI, cloud computing, and software engineering best practices, and propose innovative solutions to improve the development process. 

Qualifications

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The Qualifications

 

  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience). 

  • 5+ years of professional experience in software engineering with a focus on full-stack development. 

  • Proficiency in React and TypeScript for building modern, scalable, and maintainable front-end applications. 

  • Strong experience in backend development with Node.js and building RESTful APIs. 

  • Experience with Cosmos DB or other NoSQL databases, with a deep understanding of data modeling, indexing, and query optimization. 

  • Infrastructure as Code (IaC) experience, specifically with Terraform, to automate the provisioning and management of Azure resources. 

  • Solid understanding of cloud infrastructure, specifically Azure, and experience with services like Azure Functions, App Services, Cosmos DB, and Azure Kubernetes Service (AKS). 

  • Familiarity with CI/CD tools (e.g., Azure DevOps, GitHub Actions) and automated testing frameworks. 

  • Experience with Agile methodologies and working in cross-functional teams. 

  • Excellent communication skills and ability to work effectively in a fast-paced environment. 

  • Strong problem-solving skills and a passion for building high-quality, scalable software. 

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  • Preferred Qualifications

  • AI/ML Knowledge: Familiarity with integrating AI/ML models into production applications and understanding the AI-first SDLC approach. 

  • Experience with containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes). 

  • Knowledge of other cloud platforms (AWS, GCP) in addition to Azure. 

  • Understanding of monitoring and logging tools like Azure Monitor, Prometheus, or Grafana. 

  • Security best practices: Knowledge of securing cloud-based applications and databases. 

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This position will remain posted for a minimum of three business days from the date posted or until a sufficient/appropriate candidate slate has been identified.

Note: Employment-based non-immigrant visa sponsorship and/or assistance is not offered for this specific job opportunity.

Compensation and Benefits

Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only).

Compensation

The base salary compensation range being offered for this role is $110,000– $200,000 USD per year. This role is also eligible for an annual short-term incentive bonus.

Company Benefits (US locations)

WTW provides a competitive benefit package which includes the following (eligibility requirements apply):

  • Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&D, Group Legal, Identify Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program)
  • Leave Benefits: Paid Holidays, Annual Paid Time Off (includes paid state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave), Paid Time Off (Washington State only)
  • Retirement Benefits: Contributory Pension Plan and Savings Plan (401k). 

We understand flexibility is key to supporting an inclusive and diverse workforce and so we encourage requests for all types of flexible working as well as location-based arrangements. Please speak to your recruiter to discuss more.

Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles County Fair Chance Ordinance for Employers, we will consider for employment qualified applicants with arrest and conviction records. 

EOE, including disability/vets

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