Senior Software Engineer

EdgeBeam Wireless•Boston, MA
•Onsite

About The Position

EdgeBeam Wireless is hiring for four (4) Senior Software Engineer positions to help build and evolve the software systems at the heart of our hybrid network platform. You will enable our enterprise partners to leverage our one-to-many distribution capabilities. The team architects and delivers full-stack features (from customer-facing dashboards and device management interfaces to the APIs and backend services) and a software-defined distributed broadband access network (element management, resource management, observability, and IP packet delivery over broadcast via NextGen TV (ATSC 3.0) transport). The team is creating our cloud-based Vector Platform, the Platform Agent edge systems, resource manager, policy manager and distributed device controller. As a senior contributor in our Boston office, on a 15-person engineering team split between Boston and Baltimore, you will drive technical decisions, mentor engineers, and work across product, networking, operations, and device software teams to ship software that matters on a problem nobody has solved before.

Requirements

  • 10+ years of professional software engineering experience with a strong full-stack track record
  • Fluency in Python, Go, or Node.js (backend) and React/Next.js (frontend)
  • Experience with architecture and operation of cloud-native, distributed systems at scale (AWS, GCP, or Azure)
  • Strong skills and experience in CI/CD, deployment automation, and DevOps culture
  • Familiarity with telecom, wireless, or broadband systems and a clear appetite to go deep and become familiar with new technologies
  • History of owning production issues end-to-end from detection to resolution
  • Demonstrated ability to participate in team decision-making process to support setting of technical direction and team alignment
  • Track record of deploying observability into large systems and experience with visualization, performance measurement, and alarming tools such as Datadog, Prometheus, and Grafana
  • Proficiency building with or on top of foundation models (LLM APIs, agentic pipelines, prompt engineering)
  • An ability to solve problems and implement solutions using AI to amplify developer productivity, while prioritizing architectural deep-dives and first-principles thinking
  • Familiarity with modern software development lifecycles (e.g., test driven development (TDD), product oriented development (POD), or AI-enhanced development cycles)

Nice To Haves

  • Network Software Development experience
  • Familiarity with network architecture concepts including control plane / data plane separation, network policy, routing, quality of service (QoS), traffic policing, session management, switching, transport, VLANs, and packet segmentation / reassembly
  • Built and operated large scale device control architectures including Network Management System (NMS), Element Management Systems (EMS), northbound interfaces (RESTful APIs), southbound interfaces (NetConf/RestConf)
  • Experience with cloud deployments of software-defined networks, network-as-code practices, and YAML-based configuration management
  • Radio Transmission experience
  • Understanding of radio wave propagation characteristics, link budgets, signal interference, and antennas
  • Exposure to mathematics of channel coding and modulation for maintaining signal integrity
  • Proficiency with broadcast transport protocols (STLTP, ATSC 3.0 physical and link layers) and IP multicast delivery over broadcast spectrum
  • Device Management Software experience
  • Large scale device control, lifecycle management, remote provisioning, registration, credential management, and software download
  • Familiarity with standardized network and server device management information architectures (e.g., User Services Platform (TR-369), CPE WAN Management Protocol (TR-069))

Responsibilities

  • Collaborate in the development and delivery of full-stack features across frontend and backend services
  • Deliver critical operations tools for EdgeBeam's platform including network telemetry, device health, and data distribution and delivery status for customers and broadcast partners
  • Engage in CI/CD pipeline design and DevOps practices across the engineering organization (e.g., Jira, Jenkins, GitHub Actions) to implement and automate our network behaviors
  • Develop scalable device fleet configuration and lifecycle management systems
  • Integrate agentic AI workflows (Claude, ChatGPT, Codex) into internal tooling and customer-facing products to accelerate delivery and operations
  • Uphold and evolve our development standards, participate in architecture reviews, and maintain high-quality standards on what the team ships
  • Engage with network and device software engineers to build APIs and SDKs above ATSC 3.0 and hybrid broadcast/cellular infrastructure
  • Own cross-cutting engineering concerns: observability, reliability, security, and scalability for distributed edge systems
  • Develop software for IP packet encapsulation and delivery across the ATSC 3.0 broadcast layer including integration with Studio-to-Transmitter Link Transport Protocol (STLTP)
  • Mentor engineers through code review, architecture guidance, and hands-on collaboration
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