W2 || H1B-Transfer Only || Senior Full Stack Software Engineer

Position: Senior Full Stack Engineer
Location: Remote - must work EST business hours - most teams prefer CST as the farthest from EST Must Have
Agentic AI
AWS Cloud Observability (ex. X-Ray)
AWS Dynamo
AWS Lambda
AWS S3
AWS - SNS/SQS
AWS State machines
JavaScript (ES6)
Node.js
React js
SQL/RDS
Nice To Have
aws EMR Spark
AWS - Glue
AWS - Lake Formation
Python
Team: LMS and ERP
Profile: Team seeks a seasoned developer with AI and automation development experience (AI bot automation testing, agentic AI, and CI/CD automation), combined with strong (Advanced+) REACT/NODE/LAMBDA and microservices experience. Focus is on LMS (Learning Management System) development and integrations. Must be familiar with Agentic AI within software development.
Process: Initial Tech Screen (30-minute Video Conference) - Final Whiteboarding Team Session (1.5-2.0 hours) - Offer (high powe Mac is ordered)
Technology NO Awareness of technology (0) LITTLE Awareness - read/heard of technology (1) EXPOSURE to technology in environment (2) SOME development in technology (3) Very COMFORTABLE developing in technology (4) EXPERTISE in technology i.e. could teach a class (5)
AI bot - script authoring X
AI bot - regression testing X
Agentic AI development X
Automated API integration testing X
Automated E2E browser testing Selenium etc X
CI/CD & DevOps automation (CloudFormation, Jenkins, BitBucket) X
React.js X
node.js Development X
JavaScript (ES6+) / TypeScript X
Python X
AWS - Lambda X
AWS - API Gateway X
Playwright X
AWS - S3 / SNS / SQS X
LMS Integrations (LTI 1.3, SCORM, xAPI) X
Event-Driven Architecture & API Integration, Automated Testing X
Observability (monitoring, logging, alerting) X As a Senior Full Stack Software Engineer, candidate will be responsible for complex software development including coding, managing small sections of ongoing projects and closely adhering to deadlines. Candidate will also take responsibility for creating design specifications, unit testing, and preparing technical documentation. Candidate will ensure relationships with customers and cross-team members are professional and meet expectations. A top priority of this role is advancing AI and automation development building agentic-AI capabilities and AI bot automation testing that improve delivery speed and quality across the LMS (Learning Management System) platform and its integrations.
Client a not-for-profit membership organization dedicated to providing excellence and equity in education manages a complex and comprehensive suite of data systems, data feeds and reports to support students and educators across multiple assessments, programs and services. Working within the Information Technology division and across the Operations and key business units, the Senior Full Stack Engineer will analyze procedures, and design and implement solutions that strengthen the organization s Learning Management System (LMS) ecosystem and the learning experiences it supports, with a strong emphasis on AI-driven and automated development. The Senior Full Stack Engineer will design, develop, implement, and deploy AWS cloud solutions and LMS integrations, based on a set of standards and processes which establish consistency across the enterprise data, reduce risk, and promote efficiencies in support of the organization s goals and objectives.
The ideal candidate will have designed, developed and implemented serverless software solutions in support of AI-driven automation for our LMS and ERP platforms. The candidate will also possess technical skills and experience in the LMS and ERP systems and SaaS integration domains that will help their ability to design and develop elegant and efficient cloud-enabled learning systems and integrations.
Required Skills:
Top priority: demonstrated experience building AI-driven and automated development and testing solutions, including AI bot automation testing (script authoring and automated regression), agentic AI within software development, and AI-assisted / self-healing test maintenance.
Strong automation engineering across the SDLC: automated API integration testing, Playwright E2E, automated E2E browser testing, and CI/CD automation (CloudFormation, Jenkins, Git, AWS Code Pipeline).
Minimum 7 years demonstrated experience with software development.
Strong and evolving competence in several programming languages and technologies, working knowledge of multiple tool sets, technologies and implementation environments especially in the cloud
Expert level experience in React, NodeJS, Java and scripting in a Cloud based environment
Demonstrated advanced experience with AWS Lambda, SNS/SQS, S3, IAM, CloudWatch, RDS and DynamoDB, AWS CLI
Possess strong technical skills and experience in the virtual infrastructure domain, specifically Amazon Web Services.
Strong design and development experience in building and monitoring microservices including UI.
Working experience on CI/CD using Git Actions
Demonstrated experience in developing full stack, LMS-facing solutions using React and NodeJS
Demonstrated experience building and supporting API-based and file-based integrations with LMS platforms and external systems, using standards such as LTI 1.3, SCORM, and xAPI.
Fundamentals in OO and computer science foundation principles.
Working knowledge of distributed architectural design patterns
Knowledge of systems analysis and design (including OOAD and UML), and database design
In depth clean architecture knowledge, Postgres DB scaling, AWS ECS/Kubernetes, Fargate.
Knowledge of software development, lifecycle and modern software engineering principles and practices
Experience setting up DataOps and DevSecOps. Preferred Skills:
High analytical skills and knack to develop tools for monitoring high frequency data services.
Experience with LearnUpon and Workday API integrations (strong plus).
Experience working on Agile teams with the scrum team member attitude willingness to support the Team to be successful in any area necessary
Advanced demonstrated experience with AWS cloud supported programming languages like JavaScript, TypeScript, or Python.
Ability to use: KMS, ALB/ELB, Route 53, VPC
Fluency with CI/CD toolsets such as: CloudFormation, BitBucket, Jenkins, Ansible
Experience with relational databases, and NoSQL databases
Experience building infrastructure as code using AWS CloudFormation or similar scripting techniques
Appetite to Learn new things Education/Certifications:
Bachelor s degree and/or other advanced degree(s)
Relevant AWS or other professional certifications