← Back to job listings
SA
Senior Software Engineer
Salesforce · San Francisco, United States
About The Role
Join Salesforce as a Senior Software Engineer, where you will be part of the Service Cloud organization, responsible for innovating, maintaining, and monitoring the company's massive-scale voice infrastructure. You will leverage your experience in deploying, maintaining, and monitoring large-scale voice infrastructure services globally, and provide support for customers on voice-related infrastructure and quality issues.
- Participer à l'innovation, à la maintenance et à la surveillance de l'infrastructure vocale à grande échelle de Salesforce.
- Utiliser votre expérience pour déployer, maintenir et surveiller les services d'infrastructure vocale à grande échelle à l'échelle mondiale.
- Travailler en étroite collaboration avec les clients pour comprendre leurs exigences en matière de voix et créer un plan d'infrastructure de référence.
- Good understanding of security posture for VoIP networks and the ability to update in-house and third-party stacks to ensure strong security adherence
- Good awareness of voice/telecom regulations across different regions and adherence requirements
- Hands-on expertise using standard tools and technologies to configure, monitor, and maintain voice infrastructure
- Ability to adapt, remain flexible, and learn quickly in a dynamic environment
- Good awareness of voice stack compliance standards such as E911 and CALEA
- Ability to work under tight deadlines while coordinating multiple projects and responding to changing business and technical conditions
- Hands-on experience operating a 24/7 voice system at scale with SLA of 4+ 9s availability
- Capacity/scale planning: ability to proactively plan voice infrastructure capacity to ensure the infrastructure can scale for unexpected surges in voice traffic
- Hands-on experience in voice operations in a multi-region, enterprise-scale infrastructure
- Ability to work and interoperate with partner systems
- Excellent communication skills to proactively keep stakeholders updated on voice-related issues or maintenance notifications
- Excellent organizational skills, including the ability to prioritize tasks efficiently with a high level of attention to detail
- Hands-on experience with real-time communications (PSTN, SIP, VoIP, etc.) at scale
- Hands-on expertise configuring SBCs, establishing SIP trunking between voice systems, codec negotiations, etc
- Excellent analytical and problem-solving skills
- Ability to set up comprehensive alerting and monitoring mechanisms for voice infrastructure, including call quality issues, and proactively monitor them
- A related technical degree required
- Hands-on expertise troubleshooting voice-related issues such as call setup issues, QoS, jitter, call drops, SIP 4XX/5XX errors, etc
- Hands-on experience planning and conducting maintenance activities for voice infrastructure without disruption to customer traffic
- 5+ years of experience supporting large-scale voice infrastructure deployments in public clouds
- Hands-on expertise in deep packet inspections, SIP ladder analysis, and STIR/SHAKEN debugging
- Ability to work with customers, understand their voice requirements and scale, and create a solution reference voice/network infrastructure plan for Salesforce
- Work in close partnership with external VoIP/PSTN carriers and other vendors such as SBC providers
- Experience with conversational AI platforms and integrating AI-powered features into voice infrastructure (e.g., AI transcription, sentiment analysis, or virtual agent integrations)
- Hands-on experience applying AI/ML tools to voice operations, such as AI-driven anomaly detection, predictive alerting, or intelligent capacity planning
- Experience using AI/ML models or data-driven approaches to improve call quality, reduce latency, and optimize routing
- Familiarity with Salesforce Einstein or similar AI platforms and their application to Service Cloud Voice workflows
- Ability to evaluate and implement AI-based quality monitoring tools for real-time call analysis
- Experience writing automation scripts using scripting languages such as Python
- Experience with application protocols and troubleshooting (e.g., HTTP, HTTPS, TCP/UDP)
- Knowledge of Linux (Red Hat), including configuration, packages, services, daemons, shells, and troubleshooting
- Experience in fast-paced, technical environments experiencing rapid growth and change
- Some experience with container orchestration systems such as Docker and Kubernetes, and CI/CD pipelines
- Some experience with configuration automation tools such as Ansible, Puppet, and/or Chef
- Understanding of Terraform, Helm, and Spinnaker
This is an external listing. JobSpring does not represent or verify the employer. Report this listing
JobSpring