Senior Site Reliability Engineer at Algolia

Paris, Île-de-France, France

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Search, AIIndustries

Requirements

5 years experience in a scalable environment
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
Contribute to the delivery of solutions that support other engineering teams

Skills

Key technologies and capabilities for this role

Site Reliability EngineeringSREScalabilityReliabilityOperating SystemsSelf-Healing SystemsDistributed SystemsMonitoringIncident ResponseCost OptimizationKubernetesAWSTerraformPrometheusGrafana

Questions & Answers

Common questions about this position

What experience level is required for this Senior Site Reliability Engineer role?

The role requires 5 years of experience in a scalable environment.

What programming languages are used by the team?

The team's current stack includes Golang, Python, and Ruby.

What technical skills are needed for this position?

Candidates need knowledge of at least one programming language (Python, Golang, Ruby), experience with APIs, familiarity with public cloud providers like GCP, AWS, or Azure and their Kubernetes services, and understanding of Linux system administration, networking, and troubleshooting.

What is the focus of the Fleet team at Algolia?

The Fleet team is a Site Reliability Engineering team focused on ensuring Search products are always available by optimizing availability and costs at scale, considering customer needs and collaboration with other engineering teams.

What makes a strong candidate for this SRE role?

A strong candidate has first experience building and operating scalable architectures, a focus on reliable and highly available applications, strong communication and organizational skills, and is a problem solver eager to learn and nurture others.

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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