Description

responsible for designing| developing| testing| deploying| and operationalizing the solution in alignment with enterprise architecture| technology| and information security standards.
The ideal candidate will bring experience across front-end and back-end development| AWS cloud services| CI/CD pipelines| infrastructure as code| identity and access management| observability| and production support| with a strong emphasis on building solutions that are resilient| maintainable| and compliant in an enterprise environment.
Initial Project Scope: Build a modern Learning Experience Platform (LXP) from the ground up to deliver a personalized| engaging| and scalable learning experience for employees and learners.
Work closely with Product team to align with the product vision| core user journeys| and cross-functionally with design| engineering| content| and analytics teams to create a platform that supports discovery| recommendations| social learning| and measurable skill development. Required Qualifications
Experience taking a prototype or proof of concept and transforming it into a production-ready enterprise application Strong proficiency in full-stack development across front-end and back-end technologies Proficiency with cloud infrastructure| ideally AWS| including services such as Amazon S3| Lambda| and Bedrock Experience with containerization and orchestration technologies such as Docker and Kubernetes Experience with infrastructure as code| such as Terraform| and CI/CD pipelines Experience implementing enterprise authentication| authorization| and security controls Experience with automated testing on both backend and UI layers Familiarity with observability tools and practices| including logging| monitoring| and alerting Strong experience using Git for version control| code review| and collaboration Ability to translate business problems into technical solutions and communicate complex concepts clearly Strong communication skills with a proactive| collaborative| and solution-oriented mindset Preferred Qualifications Proficient in AI-assisted coding tools such as GitHub Copilot| Claude Code| and KiroGood understanding of GenAI building blocks| including prompting techniques| agentic frameworks| evals| guardrails| RAG| embeddings/vector databases| model fine-tuning| graph databases with LLMs| MCP| and reasoning models Knowledge of MLOps best practices Experience modernizing prototypes into enterprise-grade applications in regulated or large enterprise environments Prior experience supporting production applications through monitoring| incident response| and operational handoff Experience documenting technical solutions| support procedures| and operational ru
 

Key Skills

Education

Bachelor's degree