Senior Software Engineer, Connectors Platform New Paris, France

Algolia, Inc.

Paris

Hybride

EUR 110 000 - 150 000

Plein temps

Il y a 14 heures
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Avantages offerts par ce poste

Flexible workplace
Remote or hybrid work
Office in Paris

Résumé du poste

Algolia is seeking a Senior Software Engineer for the Connectors Platform in Paris. You will design, build, and scale data ingestion services that bring customers’ data into Algolia. The role focuses on reliability, performance, and scalable architectures across Go-based systems.

You will collaborate with teams to ingest, transform, and enrich data, leveraging Kubernetes, Terraform, and Google Cloud. Mentoring teammates and contributing to engineering culture are also key aspects.

Qualifications

  • Proven experience building high-traffic distributed services.
  • Strong knowledge of Go and cloud-native infra.
  • Experience with Kubernetes, Terraform and cloud platforms.

Responsabilités

  • Design, build, and scale distributed data ingestion services for thousands of customers.
  • Improve system reliability, scalability, and throughput.
  • Champion testing, observability, and performance.

Connaissances

Go programming
Kubernetes
Terraform
Google Cloud

Outils

BigQuery

Description du poste

Senior Software Engineer, Connectors Platform

Paris, France


Algolia is the retrieval intelligence layer that turns intent into trusted, decision-grade outcomes. Powering more than 1.7 trillion queries a year for over 18,000 customers with millisecond latency and 99.999% reliability, we are the recognized leader for Search and Product Discovery by top industry analyst firms. The Algolia platform turns a company's products, content, and business rules into data that humans, applications and AI agents can act upon. The result is trusted customer experiences with stronger conversions for measurable business impact.


As a Senior Software Engineer on the Connectors Platform Team, you’ll play a key role in building products that help our customers ingest, transform, and enrich their data with AI, making it simple to integrate into Algolia.
The Team & Platform


The Connectors Platform Team builds and scales the services that bring our customers’ data into Algolia, reliably, securely, and at scale.


Our work touches:



  • E-commerce: powering real-time integrations with Shopify, Commercetools, BigCommerce

  • Data Connectivity: connecting to sources like JSON, BigQuery, Supabase, MySQL, and beyond

  • Data Transformations: allow customers to transform their data as it flows into Algolia

  • AI Enrichment Pipelines: enhancing data to improve search relevance


We run on Go, Kubernetes, and Google Cloud, with an engineering culture built around reliability, performance, and simplicity.


What You'll Do


  • Design, build, and scale distributed data ingestion services serving thousands of global businesses

  • Drive improvements to system reliability, scalability and throughput

  • Champion engineering excellence in testing, observability, and performance

  • Mentor teammates and help evolve the engineering culture as we grow


You might be a fit if you


  • Bring proven experience building and operating high-traffic production systems in Go

  • Have strong hands-on experience with Kubernetes, Terraform, and Google Cloud

  • Love the challenge of designing resilient systems that handle high-traffic workloads

  • Care about writing high-quality, tested, maintainable code

  • Communicate clearly and collaboratively in English


Algolia does not discriminate on the basis of race, color, religion, sex, age, national origin, military status, veteran status, disability status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.


The annual base salary compensation range for this role reflects market pay data within this location. The exact compensation offered for this role may vary depending on specific location and job-related knowledge, technical skills, and experience; and is only one part of our Total Rewards philosophy to compensate and recognize employees for their work.


Base Salary Pay Range


FLEXIBLE WORKPLACE STRATEGY:


Algolia’s flexible workplace model is designed to empower all Algolians to fulfill our mission to power search and discovery with ease. We place an emphasis on an individual’s impact, contribution, and output, over their physical location. Algolia is a high-trust environment and many of our team members have the autonomy to choose where they want to work and when.


We have a global presence with offices in Paris, NYC, London, Sydney and Bucharest, however we also offer many of our team members the option to work remotely either as fully remote or hybrid-remote employees. Positions listed as "Remote" are only available for remote work within the specified country. Positions listed within a specific city are only available in that location - depending on the role it may be available with either a hybrid-remote or in-office schedule.


WE’RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES:



  • GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment.

  • TRUST - Willingness to trust our co-workers and to take ownership.

  • CANDOR - Ability to receive and give constructive feedback.

  • CARE - Genuine care about other team members, our clients and the decisions we make in the company.

  • HUMILITY - Aptitude for learning from others, putting ego aside.


We’re looking for talented, passionate people to help build the world’s best search and discovery technology. We value autonomy, diversity, and collaboration. We’re committed to creating an inclusive workplace where everyone is respected and supported—regardless of race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability, or socioeconomic background.


As your prospective employer, Algolia has outlined our policy on how candidates are permitted to use AI in our hiring processes. Knowing that the way we experience AI may evolve over time, we will regularly review our approach to AI to ensure alignment with current legislation and to protect against potential biases in our processes. Prior to engaging in the interview process, please review our current policy .

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