Bland (bland.com) Logo

Bland (bland.com)

Senior Infrastructure Engineer

Reposted 3 Months Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
120K-200K Annually
Senior level
In-Office
San Francisco, CA, USA
120K-200K Annually
Senior level
As a Senior Infrastructure Engineer, you will design scalable architecture, build ML infrastructure, integrate telephony, ensure reliability, and implement security for AI-powered phone systems.
The summary above was generated by AI

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 $100 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 Levi's Plaza, 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

Similar Jobs

2 Days Ago
Remote or Hybrid
San Francisco, CA, USA
165K-250K Annually
Senior level
165K-250K Annually
Senior level
Cloud • Digital Media • News + Entertainment • On-Demand
Build and operate Philo’s ML and LLM infrastructure, including AWS and Kubernetes platforms, GPU scheduling, model serving, inference optimization, monitoring, evaluation, experimentation, and CI/CD. The role establishes infrastructure best practices, reliability, security, scalability, and Infrastructure as Code while supporting recommendation, video classification, and agent workloads. It also involves collaborating with engineers and vendors to deploy, instrument, and manage production systems.
Top Skills: AirflowAlbAmazon BedrockAnthropicAWSC++CloudFormationCloudwatchDagsterDatadogDnsDockerDvcElasticacheElbElkFeastFluentdGitlabGoGrafanaHTTPIamInfluxdbJavaScriptJenkinsKubeflowKubernetesLakefsLinuxLitellmMetaflowMlflowNlbNvidia TritonOpenaiPgvectorPineconePrometheusPythonRagRayRdsRoute 53RubySqsTcp/IpTectonTensorrt-LlmTerraformTgiTickTypescriptVllmVpcWeaviateWeights & Biases
4 Days Ago
In-Office
146K-208K Annually
Senior level
146K-208K Annually
Senior level
3D Printing • Aerospace • Hardware • Software • Manufacturing
Design, build, and maintain highly available, secure, and cost-optimized infrastructure across AWS, Kubernetes, and Linux/Windows environments. Develop infrastructure-as-code and automation, lead infrastructure projects, coordinate milestones, support systems during critical issues, and perform root-cause analysis. The role also integrates networking, security, DevOps, and software development while supporting cloud-first IT infrastructure for space systems.
Top Skills: AnsibleAWSAws LambdaAzureBgpDhcpDnsGCPGitopsKubernetesLinuxModel Context Protocol (Mcp)PuppetTerraformVpnWindows Server
17 Days Ago
Easy Apply
In-Office or Remote
Redwood City, CA, USA
Easy Apply
135K-205K Annually
Senior level
135K-205K Annually
Senior level
AdTech • Artificial Intelligence • Big Data • Machine Learning • Marketing Tech • Mobile • Software
Build and maintain infrastructure tooling for thousands of servers and distributed services. Responsibilities include host provisioning, configuration management, rapid code deployment, service monitoring, automated testing, linting, and infrastructure supporting high-volume real-time data pipelines. The role involves end-to-end project ownership, frequent code delivery, debugging complex distributed systems, and collaboration within a high-performing engineering team.
Top Skills: AWSAzureGCPGoKafka

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account