1 day ago
Remote, PortugalMid Level / Senior

Responsibilities

  • Run and improve production environments by monitoring availability and evaluating overall system health.
  • Build software, automation, and systems to manage platform infrastructure and applications.
  • Improve reliability, quality, scalability, and time-to-market across cloud software solutions.
  • Measure and optimize system performance, capacity, failure modes, and bottlenecks.
  • Provide operational support and engineering for large distributed applications and services.
  • Analyze operating system, application, network, and service metrics for performance tuning and fault isolation.
  • Partner with development teams on testing, release procedures, and production-readiness practices.
  • Participate in system design, platform management, capacity planning, incident response, and post-incident improvement.
  • Automate infrastructure improvements and reduce operational toil.
  • Define and use service-level indicators, service-level objectives, and error budgets to balance feature delivery and reliability.
  • Improve reliability of Voice/UC platforms and integrations, including real-time signaling, media flows, call quality, latency, jitter, packet loss, failover, and service availability.
  • Operationalize AI-enabled communications capabilities and build observability across Voice/UC and AI service paths.
  • Design and test graceful degradation, dependency isolation, retry and fallback patterns, and recovery procedures.
  • Automate validation and production-readiness checks for Voice/UC and AI integrations.

Requirements

  • Bachelor's degree in computer science or another highly technical or scientific discipline, or equivalent practical experience.
  • 4–7 years of experience in production operations, systems engineering, SRE/DevOps, CI/CD implementation, software deployment, and production-system maintenance.
  • Experience with Agile methodologies, DevOps practices, CI/CD pipelines, infrastructure automation, and production monitoring and observability.
  • Experience with distributed systems, cloud infrastructure, containers, and dynamic resource management frameworks such as Kubernetes.
  • Experience with distributed storage technologies such as NFS, HDFS, or S3, or comparable cloud storage technologies.
  • Hands-on troubleshooting experience across Linux, applications, networks, APIs, and distributed service dependencies.
  • Working knowledge of Voice/UC and real-time communications concepts such as SIP, RTP/SRTP, WebRTC, SBCs, and media services.
  • Experience supporting or integrating AI-enabled services, APIs, or workflows; familiarity with speech/voice AI, machine-learning services, or LLM-based applications is preferred.
  • Ability to use metrics, logs, traces, and service-level indicators to diagnose production issues and drive reliability improvements.
  • Proactive problem-solving approach with strong cross-functional communication skills.

Tech Stack

Categories

Site Reliability
Intermedia Intelligent Communications

About Intermedia Intelligent Communications

1,001-5,000 employees

Intermedia Intelligent Communications provides cloud-based unified communications and collaboration for businesses, spanning voice, video conferencing, chat/SMS, contact center, business email, file sharing, and backup. Its subscription UCaaS suite, including Intermedia Unite, is sold directly and through 7,500+ channel partners, serving over 150,000 businesses. Headquartered in Sunnyvale, California, Intermedia is privately held and backed by Madison Dearborn Partners.

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