[Remote] Site Reliability Engineer at Algolia

Paris, Ile-de-France, France

Algolia Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AI, SearchIndustries

Requirements

  • Knowledge of at least one programming language (Python, Golang, Ruby) and familiarity with software craftsmanship
  • Experience working with APIs
  • A focus on designing reliable, operable, and highly available applications
  • Familiarity with at least one Public Cloud Provider like GCP, AWS, or Microsoft Azure, and their Kubernetes service
  • A good understanding of Linux system administration, networking, and troubleshooting
  • Strong communication and organizational skills
  • First experience of building and operating scalable architectures

Responsibilities

  • Operating the Search products, building self-healing and automated incident response mechanisms
  • Building components that improve reliability and performance
  • Monitoring and computing the SLO and the error budget of the product you operate
  • Reducing the toil and the technical debt by automating tasks and increasing the quality of existing components
  • Managing Incidents and Customer Requests
  • Help design and implement systems focused on reliability, scalability, and cost efficiency

Skills

Key technologies and capabilities for this role

SREScalabilityReliabilityCost OptimizationSelf-Healing SystemsMonitoringAutomation

Questions & Answers

Common questions about this position

What programming languages or skills are required for this Site Reliability Engineer role?

Knowledge of at least one programming language (Python, Golang, Ruby) is required, along with familiarity with software craftsmanship, experience working with APIs, and a focus on designing reliable, operable, and highly available applications.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this Site Reliability Engineer role remote or does it require office work?

This information is not specified in the job description.

What is the team structure and culture like at Algolia for this role?

The Fleet team is a Site Reliability Engineering team focused on ensuring Search products are always available by creating pragmatic solutions to optimize availability and costs at scale, considering needs of customers, product teams, and engineering teams.

What makes a strong candidate for this Site Reliability Engineer position?

A strong candidate has first experience building and operating scalable architectures, is a problem solver able to think outside the box, eager to nurture others and learn from them, plus familiarity with public cloud providers like GCP, AWS, or Azure and their Kubernetes services, Linux administration, networking, troubleshooting, and strong communication skills.

Algolia

Provides hosted search and discovery solutions

About Algolia

Algolia offers search and discovery solutions through a hosted search API, enabling businesses to create fast and relevant search experiences. Its services are particularly useful for e-commerce platforms and media companies, providing extensive support to help clients integrate advanced search capabilities. Algolia operates on a subscription model, allowing clients to access its APIs without managing infrastructure, which ensures scalability and reliability. The company aims to enhance user experience by enabling tailored and efficient search functionalities for businesses of all sizes.

Palo Alto, CaliforniaHeadquarters
2012Year Founded
$324.8MTotal Funding
SERIES_DCompany Stage
Consumer Software, Enterprise SoftwareIndustries
501-1,000Employees

Benefits

Flexible Work Hours
Remote Work Options

Risks

AWS's own search solutions could challenge Algolia's market position.
Pricing pressures from the PAYGO model may reduce profit margins.
Dependency on commercetools could impact Algolia if service disruptions occur.

Differentiation

Algolia offers a unique end-to-end AI Search and Discovery platform.
The company provides flexible, usage-based pricing through AWS Marketplace.
Algolia's integration with commercetools enhances its composable commerce capabilities.

Upsides

Algolia's AI Personalization tool meets growing demand for personalized e-commerce experiences.
The Pay-As-You-Go model expands Algolia's reach in the AWS ecosystem.
Recognition as a leader in Gartner's Magic Quadrant boosts Algolia's market credibility.

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