Full-Time

Infrastructure Engineer

Confirmed live in the last 24 hours

Resolve

Resolve

11-50 employees

Automates software operations using AI

Enterprise Software
AI & Machine Learning

Mid

San Francisco, CA, USA

Category
DevOps & Infrastructure
Platform Engineering
Required Skills
Kubernetes
AWS
Requirements
  • Proven experience in building, scaling, and optimizing infrastructure for high-concurrency, high-availability environments.
  • Experienced with cloud platforms (especially AWS) and Kubernetes, with a strong understanding of databases and messaging systems for secure, scalable cloud-native applications.
  • Skilled in automating infrastructure operations and enforcing security and compliance best practices.
  • 4+ years of relevant industry experience with a focus on infrastructure; Bachelor’s degree, or 2+ years with a Master’s degree.
Responsibilities
  • Design and implement critical infrastructure components, ensuring the systems are scalable, secure, and resilient.
  • Collaborate closely with product teams to understand infrastructure needs for customer-facing features and ensure the platform meets product demands.
  • Own infrastructure automation and orchestration, leveraging cloud-native technologies (e.g., AWS, Kubernetes) to drive efficiencies and reduce manual intervention.
  • Build higher-order abstractions freeing product teams from the low-level infrastructure details and accelerating product development.
  • Participate in on-call rotations, post-incident reviews, and other operational duties to ensure service delivery quality.
  • Contribute to a culture of continuous improvement and automation across infrastructure, deployment pipelines, and system monitoring.

Resolve.ai automates software operations using AI technology, specifically designed for software engineers and IT operations teams. Its main product, the AI Production Engineer, autonomously handles incident response and root cause analysis, which helps to significantly reduce the Mean Time to Resolve (MTTR) incidents. This automation minimizes the need for human intervention, allowing engineers to focus more on innovation rather than routine tasks. Unlike its competitors, Resolve.ai offers a subscription-based service that integrates seamlessly with popular tools like AWS, Slack, and GitHub, providing a comprehensive solution for managing software operations. The goal of Resolve.ai is to enhance operational efficiency by automating over 80% of alerts and incidents, thereby reducing operational bottlenecks and alleviating the stress of on-call duties for engineers.

Company Stage

Seed

Total Funding

$34M

Headquarters

null, California

Founded

N/A

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • The $35M seed funding led by Greylock, with participation from notable investors, positions Resolve.ai for rapid growth and innovation in AI-driven software operations.
  • By automating over 80% of alerts and incidents, Resolve.ai significantly enhances operational efficiency, allowing engineers to focus on innovation rather than routine tasks.
  • The backing by industry leaders like Stanford's Fei-Fei Li and Google DeepMind’s Jeff Dean underscores the company's potential to become a leader in AI automation.

What critics are saying

  • The reliance on AI for incident management may face resistance from traditional IT teams accustomed to manual processes, potentially slowing adoption.
  • The competitive landscape in AI automation is fierce, with established players potentially overshadowing Resolve.ai's market entry.

What makes Resolve unique

  • Resolve.ai's AI Production Engineer autonomously manages incident response and root cause analysis, reducing human intervention and setting it apart from traditional IT operations solutions.
  • The seamless integration with popular tools like AWS, Slack, and GitHub provides a comprehensive approach to software operations, unlike competitors who may not offer such extensive compatibility.
  • Resolve.ai's focus on reducing Mean Time to Resolve (MTTR) incidents through AI automation offers a unique value proposition in the tech industry.

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