Join ngrok as a Senior Full-stack Software Engineer to build and evolve AI traffic management systems in a remote-friendly environment.
Posted by employer 5 months ago
First seen on Joblaze 2 months ago
Last verified on the company career page 19 hours ago
Skills & Technologies
AI in the day-to-day
You’ve worked with AI/LLMs and can appreciate their unique brand of edge-cases.
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
In this role, the Full-stack Software Engineer III/Senior will focus on developing and enhancing the AI Gateway, ensuring it effectively manages AI traffic in real time. Proficiency in statically typed languages like Go or Rust, along with experience in frontend technologies such as TypeScript and React, is essential. This position is ideal for seasoned engineers who have a background in AI systems and a keen interest in creating user-friendly abstractions. The team operates within a dynamic environment, emphasizing collaboration and innovation in a rapidly evolving tech landscape.
Joblaze insights
Quick facts
From the original posting
ngrok builds developer infrastructure to connect services and AI models, wherever they run.
Most developers know us as the way to put localhost on the internet. More than 15 million of them use ngrok, at companies like GitHub, Okta, HashiCorp, and Twilio. It's the same ngrok they've loved and leaned on for years, now with the power to run production traffic at scale.
Teams use ngrok to deliver APIs, connect to their customers' networks, manage device fleets, and route traffic between public and local AI models.
Across all of it, we hold ourselves to one standard: developers should be able to finish a whole job without becoming experts in every system it touches. We take on the complexity, make thoughtful choices by default, and keep developers in control of what matters to them.
Still reading? Good. There's more below worth your time.
Our AI Gateway team builds the systems that define how AI traffic is identified, controlled, and understood as it passes through ngrok.
We own the AI-specific control plane at the gateway layer: policies, usage tracking, and enforcement that sit directly on live customer traffic. Our systems must behave correctly under real-world conditions—traffic spikes, unexpected model behavior, misconfigured policies, and customers asking, “Why was this blocked?” or “Where did my tokens go?”
Extra credit if you’ve worked on:
ngrok runs entirely on AWS. Engineers develop by using remote development tools and/or ssh to connect to remote EC2 environments that run a full Kubernetes cluster of the ngrok stack, closely mirroring production. The codebase is primarily Go and TypeScript. We use Postgres for persistence, Kafka for streaming, Protobuf for service boundaries, and Kubernetes, Terraform, Helm, and Buildkite to operate and ship reliably. React is used for user interfaces, and GitHub supports our development workflows and remembers everything.
This is a remote position for candidates outside of the Bay Area and a hybrid role for candidates within commuting distance to San Francisco. Our Bay Area employees commute to the office on Tuesdays and Wednesdays.
All candidates must be US-based, and legally authorized to work in the United States.
At this time, ngrok is unable to provide visa sponsorship for this position. Applicants must be authorized to work in the United States on a permanent, ongoing basis without the need for current or future sponsorship.
Senior Software Engineer
Software Engineer III
Job level and actual compensation will be evaluated based on factors including, but not limited to, qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), internal equity with other team members, market data, and specific work location. We provide an attractive mix of salary and equity.
#LI-Hybrid