Job DescriptionWe9re seeking a Senior Backend Engineer to own the data layer that powers Zendesk9s AI products. In this role, you9ll 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 you9ll be doing- Design, build, and maintain robust platform connectors (ETL: Client 12 Extractor 12 Transformer 12 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 $174,000.00-$260,000.00. 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.
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.
