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Open nowPosted 683 days ago

Site Reliability Engineer (In-Person)

joinrefine9 open roles

Pay
$95,000 – $125,000 a yearly
Where
New York City, NY
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Your applicationOpen nowSite Reliability Engineer (In-Person)joinrefine · New York City, NY

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 683 days ago

The posting

DevOps / Site Reliability Engineer (SRE)

Summary: We are seeking a DevOps/Site Reliability Engineer to join our team. This role will focus on building and maintaining our continuous integration/deployment pipelines, ensuring high availability, and implementing robust monitoring and security practices across our infrastructure.

Key Responsibilities:

  • Develop, implement, and manage CI/CD pipelines for various services and frontend deployments.
  • Maintain cloud infrastructure, automate deployments, and manage configurations.
  • To ensure service reliability and performance, set up comprehensive monitoring, logging, and alerting systems.
  • Implement security best practices and ensure compliance with industry standards.
  • Collaborate with development teams to streamline operations and support scaling.

Qualifications:

  • Proven experience as a DevOps or SRE engineer, with hands-on knowledge of CI/CD tools and best practices.
  • Expertise in infrastructure-as-code tools and cloud platforms.
  • Strong scripting skills and experience with containerization technologies.
  • Solid understanding of monitoring and logging solutions.
  • Familiarity with security and compliance frameworks is desirable (SOC I & SOC II Compliance)

About Refine Refine is pioneering the next generation of search and discovery technology. We empower brands to transition from outdated, keyword-based search systems to cutting-edge AI-powered solutions. Our proprietary multimodal search model, R4E, integrates seamlessly with e-commerce platforms, enabling natural language queries and personalized search experiences. Starting with fashion e-commerce, Refine’s vision is to lead the industry in product search, recommendation systems, and data pipelines for large language models and AI agents.

Our R4E-powered API allows retailers to unlock the full potential of their existing product data, enabling users to search in ways that feel intuitive and personalized. Retailers can implement Refine’s solutions in minutes without retraining models, allowing them to enhance customer engagement and boost conversions.

Over the next few years, Refine aims to expand its reach across all e-commerce verticals, becoming the industry leader in AI-driven product search and recommendation systems. Our ultimate goal is to unify personalization and create data pipelines that drive innovation across AI platforms, transforming how consumers and businesses interact with digital storefronts.

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