Note: The job is a remote job and is open to candidates in USA. Ahura Workforce Solutions is seeking a Manager, Full Stack Development to lead multiple engineering teams delivering highly available distributed systems on AWS and Kubernetes-based platforms. The role owns technical strategy, engineering standards, delivery commitments, talent development, client stakeholder relationships, and AI-assisted development governance across the practice.
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
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
- 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
- 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
Benefits
- USA Remote
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