Manager – Full Stack Development

Manager – Full Stack Development
Location: Onshore (United States)
Experience: 10 to 12 years
Tech Stack: Distributed Systems, AWS (incl. EKS), OpenShift, Automation (CI/CD & IaC), Go, Python, Node.js, AI-Assisted Software Development
Role Overview
We are looking for a Manager, Full Stack Development to provide strategic leadership across multiple engineering teams delivering complex, highly available, distributed systems on AWS using Go, Python, and Node.js on Kubernetes-based platforms such as EKS and OpenShift. You will own the engineering practice at the program or account level, combining deep technical authority with organizational leadership, executive stakeholder engagement, and responsibility for talent strategy, delivery excellence, and cross-team coordination. This is a senior leadership role for someone who can set a compelling technical vision, build high-performing teams, and be a trusted partner to client leadership and internal executives.
Key Responsibilities
Provide strategic engineering leadership across multiple full stack development teams, setting direction, standards, and culture
Own the architectural vision and technical roadmap for distributed systems programs on AWS, EKS, and OpenShift
Define and govern engineering standards, coding practices, architectural patterns, and quality benchmarks at the practice level
Lead AWS infrastructure strategy across programs, including cost optimization, security governance, resilience design, and platform evolution
Drive automation-first culture across CI/CD, infrastructure-as-code, testing, and operational practices at scale
Build, grow, and retain a high-performing engineering organization; own workforce planning, hiring strategy, and senior talent development
Serve as the primary engineering executive for client stakeholders, building trusted relationships and driving strategic alignment
Own program-level delivery commitments, escalation management, and risk mitigation across engagements
Partner with practice leads, account executives, and delivery leadership to shape proposals, scope engagements, and grow the account
Establish and drive the AI-assisted engineering strategy across the practice, setting standards and governance for adoption
Mentor and collaborate with Technical Leads and Engineers to drive delivery efficiency and Client satisfaction
Represent the engineering practice in internal leadership forums and contribute to organizational capability building
Required Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
10-12 years of software engineering experience, including substantial depth in distributed systems and at least 5 years in 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, 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
Preferred Qualifications
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
Proven experience in a client-facing consulting or professional services environment at the delivery or account leadership level
Experience contributing to business development, RFP responses, or solution design for new or expanding client engagements

Work arrangement
Yes