You will own backend and cloud engineering on an AI enabled patch management platform for a US university health system, working directly with the client's IT team. This is a hands on build role: you design, build, secure and ship on AWS, and you are comfortable being the senior technical voice on client calls.
What you will do
Design and build serverless and container based services on AWS (Lambda, ECS/EKS, API Gateway, Step Functions, EventBridge, SQS)
Build data pipelines and integrations with patch, vulnerability and endpoint management tools and enterprise IT systems
Integrate LLM and agent components (Bedrock or third party APIs) into production workflows with proper guardrails, logging and cost control
Own infrastructure as code (Terraform or CDK), CI/CD, monitoring and cost hygiene for the environment
Apply security and compliance controls suited to a healthcare environment: IAM least privilege, encryption, audit logging, HIPAA aware design
Mentor junior engineers, review code and represent ApexNeural technically in client discussions
Must have
5+ years of software engineering with at least 3 years deep in AWS
Strong in Python (Node.js acceptable) and REST/event driven architecture
Hands on with IaC, Docker and CI/CD pipelines
Solid grounding in networking, IAM and cloud security fundamentals
Clear written and spoken communication; able to run a client call independently
Good to have
AWS Solutions Architect or Developer certification
Exposure to patch management, vulnerability management or ITSM tooling (Intune, SCCM, Tanium, Qualys, ServiceNow or similar)
Experience with LLM applications, RAG or agent frameworks
Prior work with US healthcare or other regulated clients
How to apply
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