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Senior Software Engineer, Connectors & Discover

Zendesk

San Francisco, CAFull-time$145–217K/yrPosted 1 day agoStill listed today

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At a glance

Compensation
$145–217K/yr
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Zendesk is seeking a Senior Backend Engineer to build and scale the data layer for its AI products. The role focuses on platform connectors, analytics infrastructure, data pipelines, and search capabilities that turn support data into automation recommendations. The engineer will collaborate with product, ML, and design teams to deliver reliable customer-facing metrics and recommendations.

Skills & qualifications

RequiredNice to have

Skills

Python (Programming Language)Web EngineeringData PipelineIntegration PlatformsSearch TechnologiesDistributed ComputingExtract Transform Load (ETL)AnalyticsMongoDBElasticsearchRedisBackend EngineeringData PipelinesSearch InfrastructureAnalytics InfrastructureDistributed Job ProcessingFastAPIOpenSearchRQCeleryDagsterAirflowS3 StorageNLP PipelinesEmbeddingsRAG SystemsMulti-Tenant SaaS DesignWebhook SecurityHMACOAuthAnalytics EnginesProduct RecommendationsOwnershipCollaboration

Qualifications

3+ Years Backend Engineering Experience

Full job description

Job Description

Join us at Zendesk, where we're on a mission to power exceptional service for every person on the planet. We're accelerating that ambition by building products rooted in AI, automation, and intelligent customer experiences, because behind every interaction lies an opportunity to make a human connection. We’re seeking a Senior Backend Engineer to own the data layer that powers Zendesk’s AI products. In this role, you’ll build and scale integrations and analytics infrastructure that transform raw support data into trusted automation recommendations — directly enabling customers to reduce support costs and improve customer outcomes.

What you’ll be doing

  • Design, build, and maintain robust platform connectors (ETL: Client → Extractor → Transformer → Loader) across third‑party systems, handling auth, pagination, rate limits, and schema drift.

  • Extend and scale the Discover insights engine: clustering topics, detecting knowledge gaps, calculating deflection/opportunity impact, and surfacing automation recommendations.

  • Build and operate resilient data pipelines: real-time webhooks, incremental sync, reindexing, and metrics aggregation with worker queues.

  • Design, optimize, and maintain search indices and aggregation pipelines for full-text, vector, and hybrid search at scale.

  • Solve distributed systems problems around multi-tenant isolation, webhook security, incremental sync correctness, and fault-tolerant processing.

  • Collaborate with product, ML, and design to turn analytics outputs into reliable, explainable customer-facing metrics and recommendations.

What you bring to the role

  • Strong backend engineering instincts and ownership mindset; you take systems from prototype to production-grade.

  • Deep experience building data pipelines or integration platforms with attention to correctness and observability.

  • Practical knowledge of search and analytics infrastructure powering RAG and retrieval features.

  • Experience with distributed job processing patterns and worker queue design.

  • A collaborative approach for working with product, data science, and customer-facing teams to deliver measurable ROI.

Basic qualifications

  • 3+ years professional backend engineering experience, ideally in B2B SaaS.

  • Proficient in Python and backend frameworks (we use FastAPI).

  • Production experience with MongoDB, Elasticsearch/OpenSearch, and Redis.

  • Experience designing and operating distributed job processing (RQ, Celery, or similar).

Preferred qualifications

  • Experience with ETL/orchestration tools (Dagster, Airflow) and S3-based storage patterns.

  • Familiarity with NLP pipelines, embeddings, or production RAG systems.

  • Experience with system design for multi-tenant SaaS and webhook security (HMAC/OAuth).

  • Prior work on analytics engines that translate metrics into product recommendations.

The US annualized base salary range for this position is $145,000.00-$217,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives. The intelligent heart of customer experience Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to [email protected] with your specific accommodation request.

How this job compares

Set against the 3,289 open Backend Engineer jobs on Olive Jobs, counted November 8, 2026.

Pay
  • This posting$145–217K/yr
  • California median$170–247K/yr827 salary ranges
  • US median$150–225K/yr2,615 salary ranges

This range's midpoint, $181K, is 13% below the California median midpoint ($209K) — in the lowest quarter of Backend Engineer salary ranges in California.

Openings
Olive Jobs lists 1,084 open Backend Engineer jobs in California and 3,289 across the US. 14% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 3 years of experience; Backend Engineer postings that state a minimum ask for 5 years at the median (2,702 postings).
Education
809 of the 3,289 open Backend Engineer jobs (25%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 8, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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