Senior Manager - Full Stack Development

#Hiring🚨
Hi Everyone!!!!!I have #contractjobs opportunities for the below mentionednbsp;roles.Please share profiles at / -402

Tittle : senior Manager Full Stack Development 
Location: (Remote) 
Duration : 6 months
Exp : 15+

Visa : USC
W2, 1099, 

Required Qualifications

·Bachelor's or Master's degree in Computer Science, Engineering, or a related field

·12-15 years of software engineering experience, including substantial depth in distributed systems and at
. least 5 years in senior engineering leadership roles 
. Expert-level proficiency in Go and Python, with strong working proficiency in Node.js for polyglot service environments
. Deep hands-on expertise with AWS architecture and services, including container orchestration on EKS
. Hands-on experience running and operating workloads on Red Hat OpenShift as an enterprise Kubernetes platform
. Extensive experience designing and scaling automation frameworks and infrastructure-as-code
. (Terraform, CloudFormation, or Ansible) at the program level
. Mastery of distributed systems fundamentals: consistency models, fault tolerance, service mesh,
. messaging systems (Kafka, SQS/SNS), and data partitioning
. Proven track record leading and scaling engineering organizations across multiple teams or accounts
. Executive presence and communication skills -- experienced presenting to C-level client stakeholders and internal leadership
. Experience with workforce planning, senior hiring, performance management, and organizational design
. Track record of owning complex delivery programs, managing risk, and driving outcomes at the account or
portfolio level
AI Knowledge & AI-Assisted Development (Required)
. Strong, demonstrated use of AI-assisted and agentic development workflows (Claude Code, Copilot,
. Cursor, or similar) across the full development lifecycle: design, coding, testing, review, and documentation
. Defines and owns the organization-level strategy and governance for responsible AI-assisted coding,
. including validation rigor, security standards for AI-generated code, and data leakage prevention in prompts
. Deep practical knowledge of AI/LLM integration patterns for backend systems: APIs, prompt design,
. retrieval-augmented generation (RAG), embeddings, and agentic workflows (e.g., MCP)
. Drives AI adoption across the engineering practice to measurably improve velocity, code quality, and
·operational efficiency; builds the internal capability to sustain it
.Owns AI governance policy across the practice, ensuring alignment with enterprise data privacy, security,
·and compliance requirements -- including PHI and sensitive health plan data
.Deep domain expertise in the US health insurance or payer space: claims, enrollment, benefits, provider
·networks, and HIPAA/compliance-aware system design at the enterprise level
·Experience with healthcare interoperability standards (HL7, FHIR, X12 EDI) applied across large-scale programs