Jobs at Intermedia Cloud Communications

Provides billing support and customer service for small and midsize UCaaS customers through inbound calls, email, and follow-up. Responsibilities include documenting interactions in Oracle, explaining billing procedures, verifying account authorization, processing credits, refunds, and charges, and collaborating with technical support, sales, and customer service teams. The role requires strong communication, data entry, organization, billing research, payment-processing knowledge, and the ability to meet call center performance metrics.

Leads a DevOps team responsible for the reliability, security, and operational efficiency of cloud and on-premise platforms. Owns Kubernetes infrastructure, GitHub-based CI/CD, GitOps, infrastructure as code, observability, incident response, disaster recovery, and security hardening. Provides technical mentorship, leads production deployments, manages platform tooling, develops runbooks, and collaborates with Engineering, SRE, Security, and Operations on platform improvements.

Lead a DevOps team responsible for the reliability, security, and operational efficiency of distributed Unite Services and Integrations platforms. Operate multi-region Kubernetes environments across cloud and on-premises infrastructure, develop GitHub-based CI/CD and GitOps practices, automate through infrastructure as code, improve observability and incident response, and lead disaster recovery, security hardening, and platform maturity initiatives.

Develop and maintain scalable .NET applications, backend services, and REST APIs supporting cloud-based email and Microsoft 365 products. Collaborate with product, QA, DevOps, and engineering teams in an Agile environment. Modernize legacy systems, troubleshoot production issues, conduct code reviews, and optimize application performance, security, reliability, and scalability.

Provides Salesforce governance, Power BI analytics, pipeline and forecast reporting, process adherence, and temporary inside-sales coverage for Partner Sales Executives. Supports partner and customer engagements, opportunity progression, pricing, demonstrations, approvals, and follow-up during temporary absences. Maintains sales continuity, documents activities, identifies performance and pipeline risks, and coordinates internal teams to support opportunities while preserving assigned relationship ownership.

Build, maintain, and operate Linux-based infrastructure at scale. Collaborate with development and DevOps teams to deploy applications, develop automation tooling, manage CI/CD pipelines, support in-house and third-party systems, troubleshoot production issues, monitor services with Grafana and Prometheus, document processes, and participate in on-call incident response.

Build, maintain, and operate Linux infrastructure at scale. Develop deployment tooling and CI/CD pipelines using GitHub, Jenkins, and Chef; manage application deployments, server operations, monitoring dashboards, alerts, troubleshooting, documentation, and on-call incident response. Collaborate with development and DevOps teams in a primarily remote environment.

Leads and develops a software engineering team responsible for backend services, APIs, data processing, and production systems. Owns execution across the software development lifecycle, establishes engineering quality and reliability practices, partners with Product, AI/ML, and Data teams, and manages hiring, coaching, performance, and career development. Drives scalable, secure, observable solutions and continuous improvement in a rapidly evolving AI environment.

Operate and improve production infrastructure supporting AI, analytics, data pipelines, and customer-facing communications services. Build automation, observability, CI/CD, reliability standards, and production-readiness checks. Monitor performance, capacity, cost, data quality, model behavior, and service-level objectives. Lead incident response, resilience testing, recovery planning, and post-incident improvements while partnering with data, machine-learning, platform, and product teams.

Build and maintain scalable backend services for AI-powered Contact Center and Unified Communications products. Responsibilities include API and distributed-service development, real-time data processing, architecture and design, performance optimization, testing, production troubleshooting, code review, mentoring, and cross-functional collaboration. The role is primarily remote with occasional office visits in Coimbra or Aveiro.

Develop scalable backend services and APIs for AI-powered Contact Center and Unified Communications products. Design distributed, real-time systems; integrate AI and ML capabilities; improve performance, reliability, and operational efficiency; write tests and documentation; troubleshoot production issues; review code; mentor engineers; and collaborate with Product, Data Science, frontend, and backend teams.

Develops full-stack features for live operational metrics, including backend services, APIs, and real-time frontend dashboards. Responsibilities include improving system scalability and stability, integrating business logic, troubleshooting software, documenting technical changes, and collaborating with stakeholders. Requires frontend JavaScript or TypeScript experience and backend .NET development with C# and ASP.NET. The role is primarily remote with occasional Bristol or London office visits.

Develop scalable frontend applications for AI-powered Contact Center and Unified Communications products. Build reusable Angular or React interfaces, integrate REST and GraphQL services, optimize performance and accessibility, and contribute to frontend architecture and subsystem design. Collaborate with designers, product managers, backend engineers, and AI teams, while participating in code reviews, Agile ceremonies, testing, troubleshooting, documentation, and technical improvements.

Serves as the technical lead and architect for DevOps, platform engineering, infrastructure automation, deployments, and reliability. Owns Terraform and Ansible strategies, Windows high-availability clustering, Linux automation, CI/CD and release engineering, observability, production incident response, and capacity planning. Leads cross-team initiatives, establishes engineering standards, mentors engineers, and maintains architecture documentation and platform roadmaps.

Design trusted AI-powered experiences across Intermedia products, including copilots, conversational interfaces, recommendations, automation, and agentic workflows. Lead research, UX strategy, interaction design, prototyping, testing, launch, and optimization. Partner with Product, Engineering, AI/ML, Research, Security, Privacy, and Legal teams; evolve design-system patterns; promote transparency, user control, accessibility, and responsible AI; and mentor designers.

Develops revenue through channel partners by prospecting, presenting Intermedia cloud communication solutions, building territory plans, supporting partner business development and marketing, and managing pre- and post-sale relationships. The role coordinates with internal teams to ensure successful partner and customer experiences, while driving sales enablement and executive relationship building. Requires extensive channel or outside sales experience, value-based selling expertise, strong communication skills, and teamwork in a matrixed environment.

Own the roadmap and end-to-end delivery of an AI product area across Intermedia’s communication products. Conduct customer and stakeholder discovery, define requirements, prioritize backlogs, partner with engineering and UX, and manage Agile delivery. Use product metrics, experimentation, customer feedback, and market insights to guide decisions and improve usability. Communicate progress and risks while aligning cross-functional teams on product priorities.

Design, develop, test, and maintain scalable backend services and APIs for Agent Studio. Build orchestration, configuration, integrations, deployment, lifecycle, authentication, authorization, observability, and runtime management capabilities. Collaborate with frontend, AI/ML, product, UX, DevOps, and platform teams to deliver reliable, secure, high-performance services. Troubleshoot complex production issues and contribute to technical designs, code reviews, testing, and continuous engineering improvements.

Designs and leads frontend architecture for real-time, conversational web experiences. Develops reusable components, responsive interfaces, APIs, testing, observability, accessibility, and secure applications. Partners with Product, UX, backend, and ML teams; leads initiatives from design through production; troubleshoots complex issues; conducts reviews; mentors engineers; and establishes standards for performance, reliability, scalability, and maintainability.

Develop and optimize machine learning and generative AI solutions for digital agents, including LLMs, NLP, RAG, retrieval, experimentation, evaluation, and statistical analysis. Build scalable data and ML pipelines using Python, SQL, and Spark; assess model quality, reliability, safety, and business impact; and support production deployment. Collaborate with engineering, product, and data science teams while mentoring less experienced colleagues.