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SeniorFull-timePythonGolangRustAWSGCPAzureKubernetesGoAIAPI
Salary Range
$79,560 - $107,640 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Senior Software Engineer to join our Ranking team at Algolia, a pioneer and market leader in AI Search. You'll be a core contributor to how Algolia ranks results at scale, working at the intersection of backend engineering, data pipelines, and applied AI.
Key Responsibilities
- →Design and build Ranking features end to end, from technical design through production rollout and iteration, with a clear focus on customer impact.
- →Build and operate production-grade pipelines that power relevance features (including AI Re-Ranking), with strong attention to correctness, reliability, and cost.
- →Own quality and soundness of our data flows, raising the bar on testing, observability, and operational readiness so systems behave predictably at high load.
- →Work closely across disciplines, collaborating with frontend engineers, ML specialists, and product partners to turn ideas into robust, customer-facing capabilities.
- →Use data to guide decisions, define success metrics, dig into datasets, and run experiments that make relevance improvements measurable and repeatable.
- →Mentor and uplift the team, through thoughtful reviews, sharing best practices, and helping build a culture of strong ownership and continuous improvement.
Requirements
- ✓Must-haves:
- ✓Experience designing and operating production pipelines (batch, streaming, or hybrid) and being accountable for their reliability.
- ✓Confidence working with large datasets and high-traffic systems, and a pragmatic approach to performance, scaling, and cost.
- ✓Experience building and maintaining API services used by internal teams and/or external customers.
- ✓Strong engineering fundamentals: high code quality, automated testing, and maintainable design in evolving codebases.
- ✓Experience with a major cloud provider (GCP, AWS, or Azure), plus comfort debugging production issues using logs, metrics, and traces.
- ✓Excellent spoken and written English.
- ✓Nice-to-haves:
- ✓Experience operating AI models in production (monitoring, drift, latency, failure modes, evaluation).
- ✓Strong Go and/or Python proficiency (or the ability to ramp up quickly).
- ✓A track record of data-driven decision making, exploring datasets with SQL, and communicating insights clearly.
- ✓Kubernetes experience, especially running services and pipelines in cloud-native environments.
- ✓Sensitivity to end user experience, you enjoy connecting technical choices to what customers feel.
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