Full-Time

Site Reliability Engineer

Edge

Confirmed live in the last 24 hours

Vercel

Vercel

501-1,000 employees

Platform for building and deploying web applications

Consumer Software
Enterprise Software
AI & Machine Learning

Compensation Overview

$192k - $288kAnnually

+ Equity Compensation + Benefits

Mid

Remote in USA

Category
DevOps & Infrastructure
Site Reliability Engineering
Required Skills
Kubernetes
AWS
Go
Terraform
Lua
Requirements
  • At least 3 years experience in an SRE role, or at least 5 years experience in an adjacent role (e.g. platform engineering), operating in a scaled environment.
  • Firm grasp of the SRE philosophy and mindset, with practical experience working on or directly with SRE teams that have proactively engaged in system design and improvement.
  • Strong sense of accountability and commitment to problem solving, backed by a curiosity to dig deep and identify root causes.
  • Willingness to proactively engage with development teams to influence the course of software design and operational practices.
  • Capability to manage risk, make decisions, and exhibit sound judgment.
  • Demonstrated ability to plan and deliver long-term projects.
  • Familiarity with networking protocols and application serving.
  • Experience deploying and operating systems on AWS infrastructure at scale.
  • Bonus: Experience working with Terraform, Kubernetes, Golang, and/or Lua.
Responsibilities
  • Ensure that our products are built for reliability and scale by engaging in the end-to-end design, development, and deployment of new software.
  • Drive continuous risk mitigation and reduction through direct involvement in incident management, blameless postmortems, and follow-ups.
  • Drive measurable improvements to the reliability, performance, and efficiency of our production systems through instrumentation, analysis, and implementation of engineering improvements.
  • Devise repeatable, low-toil operational practices through the development of automated systems for software delivery, system failover, and capacity management.

Vercel provides a platform for developers and businesses to build, deploy, and manage modern web applications. Its services include advanced AI features that optimize image and video workflows, such as smart cropping and object detection. Vercel offers full lifecycle management for media, including auto-tagging and access control. The company operates a managed global rendering layer that simplifies serverless architecture, ensuring content is delivered efficiently and securely. Vercel stands out from competitors by focusing on a subscription-based model that caters to a wide range of clients, from individual developers to large enterprises. The goal of Vercel is to enhance the web development experience by providing reliable tools and infrastructure that maximize uptime and security.

Company Stage

Series E

Total Funding

$547.6M

Headquarters

San Francisco, California

Founded

2015

Growth & Insights
Headcount

6 month growth

11%

1 year growth

18%

2 year growth

28%
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Simplify's Take

What believers are saying

  • Securing $250 million in Series E funding at a $3.25 billion valuation indicates strong investor confidence and financial stability.
  • The acquisition of ModelFusion and the launch of AI SDK 3.1 position Vercel as a leader in enterprise AI development, opening new avenues for growth and innovation.
  • Vercel's platform is trusted by high-profile clients like Under Armour, The Washington Post, Stripe, and Wayfair, showcasing its reliability and market penetration.

What critics are saying

  • The competitive landscape in web development and cloud infrastructure is intense, with giants like AWS and Google Cloud posing significant threats.
  • Rapid expansion and acquisitions, such as ModelFusion, may lead to integration challenges and potential cultural clashes.

What makes Vercel unique

  • Vercel's platform uniquely combines advanced AI features like generative AI and large language models with web development tools, setting it apart from traditional web development platforms.
  • Their managed global rendering layer simplifies serverless architecture, offering automatic HTTPS, SSL encryption, and DDoS mitigation, which many competitors do not provide as comprehensively.
  • Vercel's recent acquisition of ModelFusion and the launch of AI SDK 3.1 enhance its capabilities in enterprise AI development, further distinguishing it from other web development platforms.

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