Manager

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.

Role & responsibilities :

• 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 candidate profile

• 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