Manager - Full Stack Development

SIMPLIFY RECRUIT LLC
United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services ASC X12 Standards Distributed Systems Fault Tolerance Interoperability Python (Programming Language) Enterprise Messaging Systems Node.Js OpenShift Ansible
+13 more
Software Engineering Istio Fast Healthcare Interoperability Resources Retrieval-Augmented Generation Large Language Models Prompt Engineering Agentic-AI Cloudformation Kubernetes Information Technology Health Level Seven International Apache Kafka Amazon Simple Queue Service (SQS)

Job description

Lead the engineering practice across multiple teams delivering highly available distributed systems on AWS and Kubernetes platforms. This senior manager sets technical and AI-assisted engineering strategy, governs architecture and delivery standards, and builds engineering capability while owning program-level delivery, risk management, and executive client relationships across accounts.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 10-12 years of software engineering experience with substantial distributed-systems depth, including at least 5 years in engineering leadership roles. Expert-level Go and Python proficiency, plus strong working proficiency in Node.js for polyglot service environments. Deep hands-on AWS architecture and services expertise, including EKS, and hands-on operation of workloads on Red Hat OpenShift. Extensive program-level experience designing and scaling automation frameworks and infrastructure as code using Terraform, CloudFormation, or Ansible. Mastery of distributed-systems fundamentals, including consistency models, fault tolerance, service mesh, messaging systems (Kafka and SQS/SNS), and data partitioning. Proven leadership of engineering organizations across multiple teams or accounts, including workforce planning, hiring, performance management, organizational design, executive communication, and account/portfolio-level delivery, risk, and escalation ownership. Demonstrated AI-assisted and agentic development practice and organization-level AI strategy/governance, including secure, responsible coding workflows; AI/LLM backend integration patterns (APIs, prompt design, RAG, embeddings, and agentic workflows such as MCP); and data privacy, security, compliance, PHI, and sensitive health-plan-data safeguards., Deep US health insurance/payer expertise, including claims, enrollment, benefits, provider networks, and HIPAA/compliance-aware enterprise system design. Experience applying healthcare interoperability standards-HL7, FHIR, and X12 EDI-across large-scale programs. Client-facing consulting or professional-services delivery or account leadership experience. Experience supporting business development, RFP responses, or solution design for new or expanded client engagements.

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