Senior Software Engineer, Connectors – Discover

Zendesk

. Design, build, and maintain robust platform connectors across third-party systems, handling authentication, pagination, rate limits, and schema drift .

Posted 11/5/2026full-timeUnited StatesSenior💰 $145,000 - $217,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in backend engineering with a strong focus on building and maintaining data pipelines, integrations, and analytics infrastructure. Proficient in Python and frameworks like FastAPI, with practical experience in distributed systems and search technologies.

Highest-signal resume keywords

Python ProgrammingBackend Frameworks (FastAPI)Data Pipeline DevelopmentDistributed Job Processing (RQ, Celery)Search Infrastructure (Elasticsearch/OpenSearch)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend EngineeringData Pipeline DevelopmentDistributed Systems DesignSearch Index OptimizationETL/Orchestration Tools (Dagster, Airflow)Webhook Security (HMAC, OAuth)NLP PipelinesMetrics AggregationSchema Drift ManagementMulti-Tenant SaaS Design

Soft Skills

Ownership MindsetCollaborationProblem-Solving

Tools & Technologies

MongoDBElasticsearchOpenSearchRedisS3

Industry Keywords

B2B SaaSAnalytics EnginesAutomation RecommendationsKnowledge GapsCustomer-Facing Metrics

Tech Stack

Tools & technologies

AirflowDistributed SystemsElasticSearchETLMongoDBPythonRedis

About the role

Key responsibilities & impact

Design, build, and maintain robust platform connectors across third-party systems, handling authentication, pagination, rate limits, and schema drift
Extend and scale the Discover insights engine by clustering topics, detecting knowledge gaps, calculating deflection/opportunity impact, and surfacing automation recommendations
Build and operate resilient data pipelines using 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 involving multi-tenant isolation, webhook security, incremental sync correctness, and fault-tolerant processing
Collaborate with product, ML, and design teams to turn analytics outputs into reliable, explainable customer-facing metrics and recommendations
Own the data layer powering Zendesk’s AI products and build integrations and analytics infrastructure that transform raw support data into automation recommendations

Requirements

What you’ll need

3+ years professional backend engineering experience, ideally in B2B SaaS
Proficient in Python and backend frameworks, including FastAPI
Production experience with MongoDB, Elasticsearch/OpenSearch, and Redis
Experience designing and operating distributed job processing, such as RQ, Celery, or similar
Strong backend engineering instincts and ownership mindset
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
Experience with ETL/orchestration tools such as Dagster or 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, including HMAC/OAuth
Prior work on analytics engines that translate metrics into product recommendations

Benefits

Comp & perks

Bonus eligibility
Benefits eligibility
Related incentives
Hybrid work with flexibility to work remotely for part of the week
Inclusive workplace experience
Reasonable accommodations for applicants with disabilities and disabled veterans