[Remote] Senior Platform Engineer
Most roles at Convoso function as “hybrid” with some opportunities for travel to in-person business events and company meetings. For remote positions, Convoso’s U.S. hiring is open to candidates residing anywhere within the United States.
The Job:
Convoso is seeking a Senior Platform Engineer to help architect and build the next generation of our high-volume, real-time communication platform. We are not just looking for someone who knows a single telecom technology—we are looking for a distributed systems engineer who has built large-scale, high-concurrency communications platforms where milliseconds matter.
In this role, you will help rebuild and modernize our core platform in Go (Golang), designing high-performance backend microservices that handle massive call volumes, real-time event routing, voice media streaming, and large-scale analytics with carrier-grade reliability.
Responsibilities summary:
1. Distributed Backend & Next-Gen Architecture (Go)
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.
Who You Are:
Technical Stack & Domain Expertise
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.
Core Architectural Competencies
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.
WHAT SUCCESS LOOKS LIKE
You focus on solving complex platform engineering problems over simply checking technology boxes.
You bring a deep curiosity for high-performance systems and enjoy building infrastructure that processes millions of real-time interactions daily.
You write clean, scalable Go code that strengthens the reliability, speed, and capability of Convoso’s flagship product suite.
Work Perks Worth The Hype:
Competitive compensation package
Stock options
100% covered premiums for employees; Medical, Dental, Basic life insurance, Long term disability
Affordable Vision plan and optional FSA
PTO, Paid Sick Time, Holidays, Bereavement time, Parental Leave
Your birthday off
401k program with generous company match
No cost Employee Assistance Program and Travel Assistance
Monthly Gym membership reimbursement
Monthly credits toward food & beverage
Company Outings
On and offsite team building events
Paid training for departments
Apple laptop (most roles)
And a team of highly experienced and kind colleagues!
HQ Office:
Casual office environment & dress
Daily catered lunches
Fully stocked kitchen (Dietary restriction-friendly)
Happy Hours
On-site Car Wash
Free Parking
Compensation:
The base salary range is: $190,000 - $210,000
The Base Pay Range for this position is based on the industry benchmark for position, function, level and the company's compensation strategies. However, final offers may vary from the amount listed based on geography, candidate experience and expertise, and other objective business. Convoso’s compensation package also includes equity for all eligible U.S full time roles and exceptional benefits, including generous 401k match.
Your California Privacy Rights:
As a California resident who is an applicant to be an employee of Convoso, you have certain rights under California law with respect to information collected by Convoso in the course and scope of its evaluation of your application. The types of information Convoso collects and your rights with respect to that information are contained in Convoso’s privacy policy, which you can review by going to https://www.convoso.com/privacy-policy/.