> Markdown version of [/jobs/ext/3960040-remote-senior-platform-engineer](https://www.wearedevelopers.com/jobs/ext/3960040-remote-senior-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # [Remote] Senior Platform Engineer - **Company:** Convoso, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $190,000.0 - $210,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Engineering, VoIP, Software as a Service, Cloud Computing, Software Code Optimization, Databases, Customer Data Management, Data Structures, Relational Databases, Distributed Systems, Memory Management, Fault Tolerance, Network Packet, Session Initiation Protocols, PostgreSQL, Network Protocols, Software Construction, Data Streaming, Twilio, WebRTC, Concurrency, Backend, Event Driven Architecture, Low Latency, Data Analytics, Apache Kafka, Kamailio, Video Streaming, Vertica, Golang, Microservices - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/-remote-senior-platform-engineer-woodland-hills-ca--56b9d15e-baa1-44f0-8e78-abfbd91e86b0 ## About the Role Call Centers, Artificial Intelligence (AI), Regulatory Compliance, Team Lead/Manager, Sales, Diversity, Team Player, Willing to Travel, Concurrency, Systems Engineering, * Primary Language: Professional experience building large-scale, high-concurrency backend software in Go (Golang). * Real-Time Communication Stack: Hands-on experience with real-time communications platforms and protocols, including FreeSWITCH, Kamailio, SIPGo, Pion WebRTC, Asterisk, or RTPengine. * Distributed Event Streaming: Proven track record building event-driven architectures using NATS, JetStream, or Apache Kafka. * Database Mastery: Experience operating both relational databases (PostgreSQL) and analytical column-oriented databases (ClickHouse) at scale. * Networking & Protocols: Working command of SIP, WebRTC media streams, network packet flow, and core telephony concepts., * Distributed Systems Design: Proven experience architecting systems composed of many interdependent microservices operating at high velocity. * Real-Time Performance Focus: Demonstrated track record building software where ultra-low latency is critical (e.g., immediate call connection, sub-second event processing). * System Scalability: Experience scaling production infrastructure to seamlessly support rapid growth in users, events, and concurrent traffic. * Target Backgrounds: Backgrounds from communication platforms and CPaaS providers (e.g., Twilio, SignalWire, Telnyx, or similar high-scale VoIP/telecom ecosystems) are highly desirable. ## Description * Architect, write, and maintain production-grade microservices in Go (Golang) to power Convoso's next-generation SaaS platform. * Design high-throughput, low-latency distributed systems that seamlessly coordinate call routing, reporting, AI processing, and customer data synchronization across services. * Utilize modern messaging and event-streaming technologies (NATS, JetStream, Kafka) to handle massive event volumes reliably and asynchronously. 2. Real-Time Telephony & Media Pipeline * Build, scale, and optimize real-time voice and communication pipelines using FreeSWITCH, Kamailio, SIPGo, Pion WebRTC, Asterisk, and RTPengine. * Manage high-concurrency Session Initiation Protocol (SIP) traffic, media streaming, and call control logic with ultra-low latency constraints. * Interface directly with carrier infrastructure to ensure high call quality, instant call placement, and fault-tolerant voice routing. 3. High-Performance Data Engineering & Analytics * Work with high-performance, large-scale database architectures tailored for both transactional workloads (PostgreSQL) and massive operational analytics (ClickHouse). * Optimize system queries, data structures, and state management to ensure real-time reporting and dashboard responsiveness under heavy load. 4. Scalability, Performance & Cloud Operations * Identify bottlenecks across real-time pipelines and optimize code, networking, and memory allocation for maximum speed and resource efficiency. * Deploy, operate, and support resilient software across large-scale cloud production environments with high uptime requirements. * Participate in system design reviews, promote software engineering best practices, and collaborate closely with product and infrastructure teams.