We are seeking a Network Technical Program Manager (TPM) to lead the delivery of complex cloud networking programs across AWS, GCP, and Azure. This hands-on role is ideal for someone who excels at the intersection of network engineering, architecture, and large-scale program execution.

Req# 1008381937

Responsibilities

  • Oversee end-to-end delivery of multi-stream cloud networking programs, from planning through implementation and cutover
  • Lead execution of networking initiatives in AWS, GCP and Azure, with network architects and engineers
  • Translate network architectures and requirements into actionable delivery plans, milestones and release criteria
  • Manage cross-team dependencies across network, platform, security and operations teams
  • Ensure network changes comply with resilience, security and governance standards
  • Facilitate delivery processes, including sprint planning, status reporting, risk management and go/no-go decisions
  • Support incident response, post-incident reviews and continuous delivery improvements

Requirements

  • 5+ years of experience in Technical Program Management or engineering delivery in network infrastructure for cloud implementation- VPC, Subnets, Inbound Outbound rules, routes, ALBs and DNS
  • Strong understanding of cloud networking concepts and architectures
  • Experience with networking solutions in AWS, GCP and/or Azure
  • Ability to collaborate with engineers on topics such as routing, firewalls, hybrid connectivity, load balancing, DNS and private connectivity
  • Proven track record of reduced delivery risk and outcomes in complex environments
  • High degree of ownership and autonomy
  • Deep technical expertise in networking and cloud environments
  • Experience with influence on delivery across large-scale cloud environments

An artificial intelligence system is software that is developed with one or more techniques that can, for a given set of human-defined objectives, using algorithmic information processing, generate outputs such as content, predictions, recommendations, or decisions with varying levels of autonomy (“AI”). Tasks that humans have traditionally done by thinking and reasoning are increasingly being done by, or with the help of, AI to help create efficiencies.EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating transcripts of interviews, and assessing applications/CVs against defined job description criteria to make suggestions to the individuals evaluating your candidacy.Your personal data and the results of any processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make hiring decisions, which is done by EPAM Talent Acquisition and management.

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EPAM Systems, Inc. (EPAM) is a leading digital transformation services and product engineering company. Since 1993, we have used our software engineering expertise to become a leading global provider...

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