Jobs at Intermedia Cloud Communications

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.

Own partner enablement programs from onboarding through ongoing development. Build training plans, facilitate virtual and in-person sessions, create learning content, coordinate logistics, analyze performance and learner feedback, and collaborate with Sales, Product, Marketing, Channel Sales, and Sales Engineering. The role supports partner activation, seller readiness, product proficiency, and continuous improvement while managing multiple projects and traveling approximately 50%.

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.

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.

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.

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.

Owns execution of AI and data product initiatives across multiple development teams. Responsibilities include backlog prioritization, Agile ceremonies, requirements and user story creation, release coordination, dependency management, stakeholder communication, roadmap input, and mentoring other product owners. The role translates AI capabilities into buildable requirements and coordinates delivery across engineering, UX, QA, operations, and customer-facing teams.

Designs, develops, and maintains scalable backend services, APIs, and data capabilities for analytics, dashboards, and visualizations. Responsibilities include processing and aggregating structured and unstructured data, optimizing performance, collaborating with frontend, data, UX, product, and DevOps teams, and supporting reliable production deployments. The role also involves technical design, testing, monitoring, troubleshooting, code reviews, and continuous improvement of analytics services.

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.

Lead and develop a software engineering team responsible for scalable backend services, APIs, data processing, and production operations. Own delivery across the software lifecycle, establish quality and reliability practices, partner with Product and AI/ML teams, manage priorities and risks, coach engineers, recruit talent, and build an inclusive culture. The role requires strong backend, cloud, distributed systems, CI/CD, observability, and people leadership experience.

Designs and leads sophisticated frontend applications for AI-powered digital agents. Responsibilities include building real-time conversational interfaces, reusable web components, streaming interactions, human handoffs, API integrations, accessibility, security, performance, observability, and analytics. The role influences frontend architecture, leads complex initiatives, conducts technical reviews, troubleshoots production issues, establishes engineering standards, and mentors engineers while collaborating with Product, UX, backend, AI/ML, and platform teams.

Design and maintain scalable backend services, APIs, and data capabilities for analytics, dashboards, visualizations, and AI-powered insights. Process and serve structured and unstructured data, integrate AI/ML outputs, optimize performance and reliability, and collaborate with frontend, data, DevOps, UX, and product teams. Contribute to architecture, testing, monitoring, observability, deployments, troubleshooting, and continuous engineering improvements.

Develops machine learning and generative AI solutions for digital agents, focusing on LLMs, NLP, RAG, retrieval, experimentation, evaluation, and optimization. Builds scalable data and ML pipelines using Python, SQL, and Spark; analyzes structured and unstructured data; establishes quality and performance metrics; and partners with engineering, product, and data teams to deploy reliable AI solutions in production.