Software Engineering SMTS - DevOps

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Role Description Join the team responsible for innovating, automating, and operating Salesforce's massive-scale voice infrastructure. We are part of the Service Cloud organization, a dynamic global team delivering and supporting innovative, proactive multi-channel service for Salesforce customers, including Voice. In this role, you will bring hands-on software engineering skills together with deep voice/telco infrastructure experience to build the automation, tooling, CI/CD pipelines, and observability systems that let a large-scale voice platform (PSTN, SIP, VoIP, SBCs) run reliably at 4&#43; 9s availability. You will design and code solutions — not just operate them — partnering closely with Voice Ops, SRE, and carrier/vendor teams. Required Skills • A related technical degree required. • 5-8 years of combined software engineering &#43; large-scale voice/telco infrastructure experience, including in Public Clouds. • Strong hands-on software development background: designing, coding, testing, and owning production services/tools end-to-end (Python, Go, or Java). • Hands-on experience building CI/CD pipelines and deployment automation for infrastructure and services (Jenkins/CI tooling, Spinnaker or equivalent). • Hands-on expertise with Infrastructure-as-Code and configuration automation — Terraform, Ansible/Puppet/Chef. • Hands-on experience with container orchestration — Docker, Kubernetes, Helm — for voice workloads. • Experience operating/supporting a 24/7 voice system at scale with SLA of 4&#43; 9s availability. • Ability to design and build comprehensive alerting/monitoring/observability systems (metrics, dashboards, automated remediation) for voice call-quality and infra issues. • Capacity/scale planning: ability to build tooling and models to proactively plan voice infra capacity for unexpected traffic surges. • Good understanding of security posture for VoIP networks; ability to automate security hardening and compliance checks across in-house and 3rd-party stack. • Experience planning and automating maintenance activities for voice infrastructure with zero disruption to customer traffic. • Excellent communication skills to proactively update stakeholders on voice-related issues or maintenance/deployment activity. • Ability to work with customers to understand voice requirements/scale and translate them into automated, reference voice/network infrastructure solutions. • Excellent analytical and problem-solving skills. • Ability to adapt, be flexible, and learn quickly in a dynamic environment. • Excellent organizational skills, prioritizing multiple concurrent projects with high attention to detail. • Ability to work under tight deadlines across several projects while responding to changing business and technical conditions. • Hyperforce / GovCloud (FedRAMP) deployment awareness • Good Knowledge on AWS cloud infrastructure • Vault secrets rotation &#43; IAM least-privilege • Splunk, Grafana, Airflow/UIP observability stack • IaC via pre-checkin-validated CloudFormation/Terraform (no manual console changes) • Sev1/Sev2 bridge triage &#43; RCA documentation participation Desired Skills • Experience with application protocols and troubleshooting (HTTP, HTTPS, TCP/UDP). • Knowledge of Linux (RedHat) — configuration, packages, services, daemons, shells, troubleshooting. • Experience in fast-paced, technical environments experiencing rapid growth and change. • Experience with observability/monitoring stacks (e.g., Splunk, Grafana) and building custom instrumentation. • Exposure to event streaming/data pipelines (e.g., Kinesis) for voice telemetry. • Prior experience as a backend/platform engineer prior to moving into DevOps. <