Senior Software Engineer (Python)
Posted
Summary
Senior backend engineer owning Telnyx's phone-number inventory and ordering pipeline, building async Python services that automate telephony provisioning, carrier integrations, and AI-driven order review across a global CPaaS platform.
- You’ll join the team that owns Telnyx’s phone-number inventory and the entire ordering pipeline behind it
- The stack is Python, the domain is global telephony, and the roadmap is near-total automation: if a step in the pipeline is done by a human today, we’re building the system that takes that step away
- The ordering pipeline — async Python services that turn a search-and-order API call into a provisioned, billable phone number: job queues, retries, rollbacks on partial failure, SLA clocks, and backorder (advanced order) fulfillment where lead-time promises have contractual weight. Tens of thousands of orders a week run through this today
- Vendor & carrier integrations — dozens of them, from US Tier-1 wholesale carriers to international carriers and regulated-market vendors. Each integration is its own Snowflake — idiosyncratic APIs, failure modes, and regulatory constraints. You’ll make them behave like one system
- The AI order-review layer — a production LLM service that reads orders and customer-submitted regulatory documents and auto-approves by country, number type, and carrier, governed by allowlists, score thresholds, and full audit logs. You’ll own expanding its coverage safely: evals, guardrails, regression suites, and clean handoffs to humans when the machine isn’t sure
- Regulatory automation — per-country identity/documentation checks (“requirement groups”), external document-verification vendors, expiry and re-verification flows — automated end-to-end in 45+ countries we hold carrier licences in
- The data layer — a large Postgres-based warehouse and Metabase analytics serving stock, SLA, and order-lifecycle dashboards used daily by ops and leadership, across a 30+ microservice estate; alerting on stock risk, vendor SLA breaches, and pipeline health
- Tech stack (what you’ll actually touch):
- Python 3 (asyncio, FastAPI/aiohttp, SQLAlchemy, Alembic, pydantic), pytest, mypy/ruff
- LLM tooling: model APIs, structured output, agent orchestration, prompt/scoring configuration, offline eval harnesses
- PostgreSQL at scale: schema design, migrations on live systems, query tuning, warehouse SQL
- RabbitMQ/Kafka, Consul, Kubernetes, Jenkins, Docker/OCI, GitHub Actions
- Metabase, and TypeScript/Next.js for internal dashboards (not required — the backend is yours)
Benefits
- Flexible, global team: Reaching our full potential means hiring people from all walks of life. Telnyx allows employees to work from home, and we offer in-person options for team members in Amsterdam, Chicago, Dublin and Warsaw
- Modern life, modern accommodations: Working in the business of innovation means offering support to our team to help them stay innovative. Telnyx offers unlimited personal time off to help employees recharge
- Benefits based on location: With team members across the globe, Telnyx offers competitive perks and benefits based on location. Employees in Ireland, the UK, and the US are eligible for healthcare benefits, and US employees also have access to 401(k) matching
- We’re looking for a senior engineer who lives at the seam between software, operations and AI
- You’ve built systems where an order POST doesn’t end at a database row — it ends at a carrier activating a real phone number in another country, subject to that country’s rules. And increasingly, it ends with an AI agent deciding — reliably, auditable, in milliseconds — whether that order flows straight through or needs a human
- You can make an LLM trustworthy in a real flow: validation, scoring thresholds, evals, audit, and human-in-the-escalation. You know where AI is reliable and where it’s theater
- You’re a pragmatist about process automation — a workflow isn’t done when the ticket closes, it’s done when the human step is gone and the numbers prove it
- 5+ years of backend engineering, with strong production async Python
- Postgres beyond ORM basics — you can read a plan, write a migration on a live system, and know why SKIP LOCKED matters
- You’ve owned systems that talk to many external services and lived with the async-job, retry, rollback, and eventual-consistency problems that creates
- Strong written communication across a distributed team (EMEA + Americas)
- Telecom/CPaaS background: DID inventory, ordering, porting (NPAC), carrier provisioning, regulatory/KYC familiarity
- Building with agents beyond work: MCP servers, tool-calling frameworks, open-source agent runtimes
- Experience with document/KYC verification vendors (Onfido, Sumsub, Jumio) or OCR pipelines
- Warehouse/analytics engineering; internal-dashboard work in TypeScript
