Suggested rewrite: Led a cross-functional initiative that improved [business outcome] by [measurable result], demonstrating experience relevant to this role...
Senior Software Engineer, Data Platform
Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.
- Remote from
- France
- Salary
- EUR 67,500–94k / yr
- Department
- Software Engineering
- Employment
- Full Time
- Experience
- Senior
- Published
- Apply before
- 27 Nov 2026
- Listing views
- 37
- Application actions
- 3
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The role, at a glance.
This senior software engineering role builds the data-ingestion platform that connects customer data sources to Algolia. The engineer will design and operate distributed services for e-commerce integrations, data connectivity, transformations, and AI enrichment pipelines. Core technical work centers on Go, Kubernetes, Terraform, and Google Cloud, with strong emphasis on reliability, performance, observability, and tested code. The role also includes improving platform scalability and mentoring teammates in a high-trust engineering environment.
Role DNA
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Pace & Pressure
4/5Autonomy Level
4/5Communication Load
4/5Salary analysis
Estimated compensation compared with the broader EU market for similar roles.
Core skills
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Sample interview questions
I would use a decoupled, event-driven architecture with durable queues, idempotent processing, retry policies with backoff, and dead-letter handling. I would define clear source adapters, validate and normalize records early, and add end-to-end observability for throughput, latency, error rates, and data quality.
I start by using service-level indicators to identify the dominant failure modes, then prioritize changes such as timeouts, circuit breakers, bounded concurrency, safe retries, and capacity controls. I also add meaningful metrics and tracing, test failure scenarios, and use staged rollouts to validate reliability improvements safely.
I would define resource requests and limits, autoscaling policies, readiness and liveness probes, disruption budgets, and secure configuration management. I would also use dashboards and alerts tied to service objectives, canary deployments, and infrastructure-as-code to ensure repeatable environments.
I would first inspect queue depth, consumer lag, error rates, CPU and memory saturation, database or API dependency latency, and recent deployment changes. After identifying the bottleneck, I would mitigate it through scaling, rate controls, rollback, or dependency protection, then implement a permanent fix and document the incident.
I combine targeted code-review feedback, architecture discussions, pairing, and clear ownership boundaries. I focus on explaining trade-offs and helping teammates build independent judgment, while reserving structured time for mentoring so it supports rather than blocks delivery.
About this role.
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
#LI-Remote
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
€67.500—€94.000 EUR
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.
IMPORTANT NOTICE FOR CANDIDATES – Recruitment Fraud Notice
We’ve recently seen an increase in recruitment scams targeting job seekers. To help protect yourself, please keep the following in mind:
- Our open positions may appear on third-party job boards, but the best way to apply safely is directly through our careers page.
- All genuine communication from Algolia will come from an @algolia.com email address. If you receive an email from someone claiming to work at Algolia who does not have an @algolia.com email address, please do not respond or share any personal information.
- We’ll never ask for payments, purchases, or financial details during the hiring process.
READY TO APPLY?
If you share our values and our enthusiasm for building the world’s best search & discovery technology, we’d love to review your application!
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