Software Developer, Carrier

TextNow is a full MVNO. We run our own converged 4G/5G mobile core in AWS for hundreds of thousands of subscribers, growing toward millions, and we're growing the team that owns and evolves it. AI is built into how this team works: it's how a small team operates, triages and changes a network this size.

About the role

Build the services between TextNow and our mobile core: subscriber provisioning, plan management, throttling and quota rules, including real-time quota tracking and policy enforcement.

The team's developers also own the automated call and data checks and the lab that prove every network change is safe. That work is shared, not one person's job.

No telecom background required. This is a chance to get hands-on with a real mobile network. Everyone on the team learns the mobile core and shares on-call for it. You'll ramp up alongside our Mobile Core Engineer.

Where you'll work: Waterloo or Toronto area, hybrid. You come into the office about once a week.

What you'll do

• Carrier services (most of your time): build and run Go services for subscriber provisioning, plans, throttling and quotas, with deep, real-time integrations into the core through vendor APIs. Replace ClickOps with APIs, pipelines and config in git.
• Make usage records accurate: check that usage records (CDRs) are complete and match what subscribers actually used, and catch gaps before they show up in billing or carrier costs.
• Build our AIOps tooling. AI agents and tools that pull together alarms, logs, metrics and config changes across the core, investigate incidents automatically and propose or run the fix.
• Own the checks (shared across the team): automated calls, SMS and data sessions that run before and after every config change and vendor rollout, with an SLO on pass rate.
• Build the lab that tests the core (shared): simulators, real devices, test SIMs and test subscribers, and the automation that drives them.
• Build and operate with AI: design, code, tests, debugging, triaging failed runs and production issues. It's how a small team owns this much of the platform.

Who you are

• 3+ years (P2) or 5+ years (P3) building backend services in production
• Strong in Go, or strong in another language and keen to work in Go
• Microservices on AWS and Kubernetes, CI/CD, Argo CD or similar
• You care about integration and end-to-end testing, including on real devices
• You build with metrics, logs, traces and SLOs in mind
• AI is part of how you build and operate: design, code, tests, debugging and production triage

Nice to have

• Built LLM agents or tools in production (tool calling, MCP servers, evals), or event correlation and anomaly detection on operational data
• Billing, rating, quota or entitlement systems
• Distributed event-driven systems
• Device automation, device farms or network simulators
• Telecom, SIP or networking experience