Live opening · Posted 8 days ago
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About the role
Description supplied by the original job listing.
Location: Onshore (United States) – on-site
Experience: 12 to 15 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 Senior 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 Managers and Technical Leads to drive delivery efficiency and governance
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
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
Work arrangement
No
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