Senior Platform & AI Consultant

Trility Consulting

1d•Remote

About The Position

Trility Consulting is actively seeking a Senior Platform & AI Consultant who is an expert in the field and a powerhouse on the keyboard. In this role, you will partner with Trility clients to design, build, and enhance modern cloud-native applications and platform services. You will work across backend APIs, frontend user experiences, cloud infrastructure, CI/CD automation, and emerging AI-assisted development practices to deliver scalable, secure, and maintainable solutions. This position is ideal for a consultant who enjoys operating across the full technology stack, from application development and database design to infrastructure automation and deployment pipelines. The ideal candidate is equally comfortable building production software, improving developer experience, and leveraging AI tools to accelerate delivery. This is a remote position with 1099 and W2 options.

Requirements

5+ years of experience building and supporting production software applications
Strong experience developing backend services using Node.js and/or Python
Experience designing and implementing RESTful APIs in production environments
Full-stack development experience with modern frontend frameworks such as React and TypeScript
Strong experience with relational databases including PostgreSQL, MariaDB, SQL Server, or similar technologies
Experience designing database schemas, implementing migrations, and optimizing application performance
Hands-on experience building and supporting cloud-native solutions within AWS
Experience with serverless and container-based architectures including services such as AWS Lambda, ECS, API Gateway, S3, Cognito, SNS, SES, and related cloud services
Experience implementing Infrastructure as Code using Terraform
Strong understanding of CI/CD practices, automated deployments, and modern source control workflows using GitHub and GitHub Actions
Experience designing and maintaining automated testing strategies including unit, integration, and end-to-end testing
Familiarity with observability, logging, monitoring, and troubleshooting distributed applications in production environments
Experience building secure, scalable applications with an understanding of authentication, authorization, secrets management, and cloud security best practices
Ability to work across multiple application domains, services, and shared codebases
Experience working in agile software development environments using collaborative engineering practices such as pair programming, code reviews, and iterative delivery
Interest in AI-assisted software development
Excellent written and verbal communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders
Must reside within the United States
Must be authorized to work in the United States without sponsorship now or in the future
Must be able to pass a background check

Nice To Haves

Experience within financial services, insurance, fintech, or other regulated industries
Experience implementing complex business rules, calculation engines, or financial processing systems
Experience developing reusable Terraform modules and multi-environment deployment patterns
Experience working with event-driven architectures, messaging systems, or real-time application patterns
Experience building internal developer tooling, AI-powered workflows, or engineering productivity solutions

Responsibilities

Design, build, and enhance modern cloud-native applications and platform services.
Work across backend APIs, frontend user experiences, cloud infrastructure, CI/CD automation, and emerging AI-assisted development practices.
Deliver scalable, secure, and maintainable solutions.
Operate across the full technology stack, from application development and database design to infrastructure automation and deployment pipelines.
Build production software, improve developer experience, and leverage AI tools to accelerate delivery.
Maintain high standards of software quality across multiple application domains, services, and shared codebases.
Work in agile software development environments using collaborative engineering practices such as pair programming, code reviews, and iterative delivery.
Leverage AI tools such as Claude Code, GitHub Copilot, AI SDKs, automated code review tooling, or similar technologies to improve engineering productivity.