Manager – Full Stack Development (Go and Python, Node.js )

One of our clients a Healthcare Product development company currently looking forward to hire 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.

Title: Manager - Full Stack Development

Location : anywhere in the USA /Remote

Experience : 10-12 years

Visa Status: Candidates must be authorized to work in USA without employer sponsorship.

Tech Stack:

Go, Python, Node.js,

AI-Assisted Software Development

Distributed Systems, AWS (incl. EKS),

OpenShift, Automation (CI/CD & IaC),

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 Skills

• 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)

Must to have Skills

• Experience with Healthcare domain (Claims)