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 stuffMeaningful equity in a fast-growing companyEvery tool you need to succeedBeautiful office in Jackson Square, SF with rooftop viewsIf 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
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