Full Stack EngineerTeam seeks a seasoned developer with AI and automation development experience, combined with strong 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 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 SkillsTop 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 cloudExpert level experience in React, NodeJS, Java and scripting in a Cloud based environmentDemonstrated advanced experience with AWS Lambda, SNS/SQS, S3, IAM, CloudWatch, RDS and DynamoDB, AWS CLIPossess 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 ActionsDemonstrated experience in developing full stack, LMS-facing solutions using React and NodeJSDemonstrated 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 patternsKnowledge of systems analysis and design (including OOAD and UML), and database designIn depth clean architecture knowledge, Postgres DB scaling, AWS ECS/Kubernetes, Fargate.Knowledge of software development, lifecycle and modern software engineering principles and practicesExperience setting up DataOps and DevSecOps.Preferred SkillsHigh 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 necessaryAdvanced demonstrated experience with AWS cloud supported programming languages like JavaScript, TypeScript, or Python.Ability to use: KMS, ALB/ELB, Route 53, VPCFluency with CI/CD toolsets such as: CloudFormation, BitBucket, Jenkins, AnsibleExperience with relational databases, and NoSQL databasesExperience building infrastructure as code using AWS CloudFormation or similar scripting techniquesAppetite to Learn new thingsEducation/CertificationsBachelor's degree and/or other advanced degree(s)Relevant AWS or other professional certificationsEEO: "Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."