Senior Full Stack Engineer

ESRhealthcare and EXEC STAFF RECRUITERS•Nyc, NY

18h•Remote

About The Position

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. 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. 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.

Requirements

Agentic AI
AI bot automation testing
AWS CLI
AWS Lambda
CI/CD automation
CloudWatch
DynamoDB
IAM
lambda
LMS (Learning Management System)
LTI 1.3
Microservices
Node
RDS
React
S3
SCORM
SNS/SQS
xAPI
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
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
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.

Nice To Haves

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
Bachelor’s degree and/or other advanced degree(s)
Relevant AWS or other professional certifications

Responsibilities

Complex software development including coding
Managing small sections of ongoing projects
Closely adhering to deadlines
Creating design specifications
Unit testing
Preparing technical documentation
Ensuring relationships with customers and cross-team members are professional and meet expectations
Advancing AI and automation development—building agentic-AI capabilities and AI bot automation testing that improve delivery speed and quality across the LMS platform and its integrations
Designing, developing and implementing serverless software solutions in support of AI-driven automation for LMS and ERP platforms
Designing and developing elegant and efficient cloud-enabled learning systems and integrations
Automated API integration testing
Playwright E2E
Automated E2E browser testing
CI/CD automation (CloudFormation, Jenkins, Git, AWS Code Pipeline)
Building and monitoring microservices including UI
Developing full stack, LMS-facing solutions using React and NodeJS
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
Setting up DataOps and DevSecOps