Site Reliability Engineer, Algolia
PaaS
AI search solutions
Posted today
AI search solutions
501-1000 employees
Posted today
501-1000 employees
Company mission
To help businesses and developers understand their online users and show them exactly what they need.
Role
Who you are
- Programming Skills: Basic to intermediate knowledge of programming languages such as Golang or Python, with an understanding of software craftsmanship. Familiarity with Ruby is a plus
- Experience with CI/CD and Kubernetes: Experience in setting up and managing CI/CD pipelines and Kubernetes-based architectures
- Knowledge of Distributed Systems: Exposure to operating distributed systems and understanding their challenges at a basic level
- Public Cloud Experience: Familiarity with public cloud providers such as Microsoft Azure, AWS, or GCP
- Problem-Solving Skills: Ability to independently identify and solve problems, demonstrating initiative and minimal reliance on senior team members
- Communication and Organization Skills: Strong communication and organizational skills to effectively collaborate with team members and stakeholders
What the job involves
- The Site Reliability Engineer position within the Platform As a Service team provides a dynamic opportunity for a professional with foundational experience in maintaining and optimizing scalable infrastructures
- This role specifically concentrates on three key areas: CI/CD, Observability, and application hosting
- As a member of the Platform As a Service team, you will play a key role in supporting the reliability and scalability of Algolia’s Search Products
- Your responsibilities will include operating components or features, ensuring proper monitoring and alerting are in place, and assisting in the transition from legacy systems
- You will work on planning and accountability for the next quarter, demonstrating independence in problem-solving and minimal reliance on managers and senior team members
- CI/CD Support and Optimization: Assist in the implementation and maintenance of a scalable CI/CD toolchain, contributing to the overall efficiency and reliability of development processes
- Observability Implementation: Support the development and deployment of observability standards and solutions, providing teams with actionable insights to enhance system reliability
- Kubernetes and Cloud Services Management: Help maintain and optimize Kubernetes-based architecture and cloud services, enhancing fault tolerance and resource utilization
- Collaboration and Problem Solving: Work collaboratively with team members to identify and solve problems, reducing dependence on senior staff for guidance
- Process Improvement: Contribute to establishing engineering processes and best practices to ensure high-quality, reliable, and scalable systems
Our take
While in-site searching has been available for some time from web search servers such as Google and Bing, its functionality is limited due to it relying on general web scraping techniques which can miss relevant information. By contrast Algolia indexes only the company's site, allowing its search to serve accurate results extremely swiftly, which helps to drive sales conversions aside from making sites far more usable. The efficacy of this solution can be seen from its customer base of over 10,000 companies including the likes of Slack, Zendesk and Lacoste.
To diversify and increase the product range, Algolia have expanded into other real-time APIs such as product recommendations available for eCommerce websites. With the company performing extremely well over the last few years, Algolia have recruited key senior executives to further its growth. As the company continues to scale it seems likely that an IPO is not too distant a prospect.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
Jul 2021
$150m
SERIES D
Oct 2019
$110m
SERIES C
Total funding: $334m
Company HQ
Barron Park, Palo Alto, CA
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