Senior Platform Engineer

Reposted 12 Days Ago
Hiring Remotely in USA
Remote
Senior level
Artificial Intelligence
AssemblyAI creates AI models for transcribing and understanding human speech.
The Role
The Senior Platform Engineer will architect and manage cloud infrastructure, support internal teams, and ensure security, scalability, and cost efficiency.
Summary Generated by Built In
About AssemblyAI

At AssemblyAI, we’re building at the forefront of Speech AI, creating powerful models for speech-to-text and speech understanding available through a straightforward API. With more than 200,000 developers building on our API and over 5,000 paying customers, AssemblyAI is helping unlock and support the next generation of powerful, meaningful products built with AI. 

Progress in AI is moving at an unprecedented pace– and our team is made up of experts in AI research that are focused on making sure that our customers are able to stay on the cutting edge, with production-ready AI models that are constantly updating and improving as our team continues to improve accuracy, latency, and what’s possible with Speech AI. Our models consistently rank highest in industry benchmarks for accuracy, outperforming models from Google and Amazon, and up to 30% fewer hallucinations than OpenAI’s Whisper. Our models power more than 2 billion end-user experiences each day, helping companies better understand customer feedback, run more productive meetings with automated meeting notes, and helping improve childhood literacy via ed tech tools. 

We’ve raised funding by leading investors including Accel, Insight Partners, Y Combinator’s AI Fund, Patrick and John Collision, Nat Friedman, and Daniel Gross. We’re a remote team looking to build one of the next great AI companies, and are looking for driven, talented people to help us get there!

About the role:

AssemblyAI is growing quickly, and we’re searching for a driven and dedicated Senior Platform Engineer to work on our multi-functional team. With significant investment and strong leadership to fuel our growth, it’s the perfect time to join the AssemblyAI team. You’ll be joining the Platform Engineering team whose mission is to provide an internal developer platform that abstracts cloud complexities and provides a common interface regardless of underlying hosting vendor. This platform provides the raw building blocks to construct deployable software in a secure, compliant, and reliable manner.

What you'll do:

In this role you’ll have the opportunity to:

  • Ensure AssemblyAI’s Cloud Infrastructure Serves Our Team’s Critical Goals. Your primary focus will ensure our cloud infrastructure serves our critical team goals such as security, reliability, scalability, performance, and profitability.
  • Help Lead AssemblyAI’s Infrastructure Efforts. As part of the team, you will help lead AssemblyAI’s efforts to architect, design, implement and test new infrastructure for our internal developer platform which will help our team ship and support high-quality software quickly and reliably.
  • Enable Internal Teams to Achieve Key Business Initiatives. You will work closely with software engineers, customer support, go-to-market, and product managers to provide support and expertise for key initiatives. You will serve as a subject matter expert to internal teams to ensure that the deployment, management, and introspection tooling for our infrastructure is automated, secure, and appropriately abstracted so it’s easy for our developers to use and maintain.

What you'll need:

  • 5+ years experience setting up, maintaining, and monitoring production infrastructure in a DevOps (or similar) role with a focus on optimizing infrastructure for cost efficiency and right-sizing
  • 4+ years experience with AWS and/or GCP (general knowledge, monitoring, security/compliance)
  • 2+ years experience setting up, managing, and scaling multi-region and/or multi-cloud Kubernetes clusters
  • Strong experience architecting, building, and orchestrating networking to enable hybrid cloud, multi-cloud, and on-premise infrastructure
  • Proven experience using Terraform for managing and provisioning infrastructure resources in an automated and programmatic manner
  • Experience working with telemetry tools (Datadog, Prometheus, others)
  • Multi-environment infrastructure management including enabling individual development and promotion of code through automated gating
  • Proficiency in deploying, managing, optimizing, and securing cloud datastores including best practices for software interaction
  • Knowledge of the CNCF landscape

Nice to Have

  • Experience building and managing internal developer platforms
  • Programming experience with Go, Python
  • A solid understanding of CI/CD workflows and observability patterns

Skills

  • You have an ownership mindset
  • You reach for cloud-native, vendor neutral solutions
  • You write detailed documentation around operational processes
  • You have previously worked at startups and have helped determine the best practices and direction for DevOps processes
  • Detail-oriented, analytical, and creative problem solver with a passion for quality processes
  • Ability to triage problems, prioritize accordingly, and propose a resolution
  • Ability to work independently, raise issues and take corrective action
  • A keen eye for detail

Pay Transparency:

AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage and industry, and are one part of many compensation, benefits and other reward opportunities we provide.

There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.

Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.

US Salary Range: $192,500-$247,500 USD per year 

Working at AssemblyAI

We are a small but mighty group of startup veterans and experienced AI researchers with over 20 years of expertise in Machine Learning, Speech Recognition, and NLP. As a fully remote team, we’re looking for people to join our team who are ambitious, curious, and lead with integrity. We’re still in the early days of AI and of AssemblyAI’s journey, and are looking for teammates who won’t just fit in, but will help us define and build our company culture. 

We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. No matter your race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply!

Keep Exploring AssemblyAI:

Check us out on YouTube!

Learn more about AI models for speech recognition

Core Transcription | Audio Intelligence | LeMUR | Try the Playground

Our $50M Series C fundraise

Top Skills

AWS
Datadog
GCP
Go
Kubernetes
Prometheus
Python
Terraform
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The Company
San Francisco, California
115 Employees
On-site Workplace
Year Founded: 2017

What We Do

At AssemblyAI, we’re creating a leading Applied AI company by building powerful models to transcribe and understand audio data, exposed through a straightforward web API.

Progress in AI is moving at an unprecedented pace–we keep our pulse on the latest developments and breakthroughs in AI research and use these advances to inform our production-ready AI models. Our Automated Speech Recognition (ASR) models already outperform companies like Google, AWS, and Microsoft - which is why hundreds of companies and thousands of developers are using our API to transcribe and understand millions of videos, podcasts, phone calls, and Zoom meetings every day.

We’ve raised funding by leading investors including Accel, Insight Partners, Y Combinator’s AI Fund, Patrick and John Collision, Nat Friedman, and Daniel Gross. As part of a huge and emerging market, AssemblyAI is well on its way to becoming the leader in applied AI.

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