About Bland

At Bland.com, our goal is to empower enterprises to make AI-phone agents at scale. Based out of San Francisco, we're a quickly growing team striving to change the way customers interact with businesses. We've raised $65 million from Silicon Valley's finest; Including Emergence Capital, Scale Venture Partners, YC, the founders of Twilio, Affirm, ElevenLabs, and many more.

About the Role

As a Senior Infrastructure Engineer at Bland, you'll help us to build the backbone that enables millions of AI-powered phone conversations. You're not just keeping servers running, you're architecting distributed systems that handle real-time voice processing, scale ML inference, and integrate with enterprise telephony infrastructure. Your work directly determines whether our platform can handle business-defining call volumes for our customers, or leaves them with dead air.

What You'll Do

Contribute to the designing of scalable architecture: Build distributed systems using Kubernetes that handle high-volume, real-time voice processing with strict latency and reliability requirements.
Build and Support ML infrastructure: Create and optimize the infrastructure supporting our AI models, from training pipelines to real-time inference serving across multiple regions.
Integrate with telephony: Maintain robust connections between our platform and complex enterprise phone systems, SIP trunks, and VoIP infrastructure.
Recognize Flaws, Control for them: We’re building a new type of architecture that takes something from Column A, and Column B. We’re never going to get it perfect, so you’ll be helping us keep a look out for what we need to solve.
Ensure reliability: Implement monitoring, alerting, and incident response systems that keep our platform running 24/7 with enterprise-grade uptime.
Scale with growth: Anticipate and solve scaling challenges before they become problems—our call volume grows exponentially and infrastructure needs to stay ahead.
Security and compliance: Implement security best practices and compliance requirements for enterprise customers in regulated industries.

Interesting Problems to Own

Old-Meets-New: Telephone calls have been around for awhile. Now with an explosion in modern technologies - comes interesting new ways to wrangle old-school protocols and techniques. You’ll have the space to be creative and really own a new emergent type of architecture.
Sizable Call Volumes requires new approaches: Understand and deeply invest in ensuring that we match any amount of customer’s customers call volume! We need unique solutions, that you’ll help us discover along the way.
Streaming Architectures: On top of building to support our APIs, you’ll also be building to helping maintain the reliability, failover, and scaling of our important stream-based traffic.

What Makes You a Great Fit

Infrastructure expertise: 5+ years building and scaling distributed systems, with deep knowledge of cloud infrastructure (AWS/GCP preferred).
You “get” the fundamentals, and beyond: For example, you can casually tell someone how TLS works beyond buzzwords, do a quick sketch of how different load balancing strategies work, or even tell us the obscure thing you fell asleep reading about last night. There isn’t a blank stare, there’s an excitement to share.
Real-time systems experience: You've built systems that handle high-throughput, low-latency workloads, streaming, real-time processing, or similar.
Startup mentality: You've worked at fast-growing companies where you wear multiple hats and solve problems as they come up.
You’re opinionated, but you’re not alienating: You accept that opinions drive progress, but you don’t intend to break into alienating discussions at the risk of not finding compromises for our customers.
You’re familiar with some tools/components like: Cloudflare, HAProxy, Go, TypeScript, Datadog, Terraform, Docker, Kubernetes, Nvidia Hardware (nvlink for example), and anything in between.

Bonus Points If You Have

Experience with telephony systems (SIP, VOIP, WebRTC.)
Background in ML infrastructure, model serving, or GPU computing.
Experience with real-time audio/video processing.

Benefits and Pay:

Healthcare, dental, vision, all the good stuff
Meaningful equity in a fast-growing company
Every tool you need to succeed
Beautiful office in Jackson Square, SF with rooftop views

If you don't have the perfect experience that is fine! We're a bunch of drop-outs and hackers. Working at a start-up is really hard. We work a lot and we figure things out on the fly.

Compensation Range: $120,000-$200,000