Key skills
ApacheDistributed SystemsElasticSearchETLHadoopKafkaMapReducePythonScalaSparkNLPAnalyticsElasticsearchCRMCollaborationSales
About this role
Role Overview
- Design, build, and maintain backend services, REST APIs, databases, and big data pipelines that power customer-facing insights and analytics.
- Implement and maintain near-real-time stream-based data processing pipelines in collaboration with batch-oriented data refresh workflows.
- Develop and evolve a query engine capable of answering complex, cross-deal/account questions and delivering actionable insights for sales managers and executives.
- Scale data processing and insights generation pipelines to handle growing volumes of activity data (emails, meetings, transcripts, CRM objects) while managing infrastructure costs.
- Collaborate with Engineering and Product teams to translate business and customer needs into robust, well-documented technical solutions.
- Follow and promote software development best practices, delivering clean, maintainable, and well-monitored code.
- Build internal tooling to enable customer support teams to investigate and resolve support requests in a self-service manner.
- Ensure high-quality alerting, dashboards, tracing, and runbooks are in place for all production services.
Requirements
- 5+ years of professional experience building backend systems in an enterprise environment
- 2+ years of experience programming in Python or Scala
- Experience with distributed systems and service-oriented architecture (SOA)
- Experience with large-scale data processing frameworks (Spark, Hive, Hadoop, MapReduce, or similar)
- Experience with stream processing technologies such as Kafka, Apache Samza, or Apache Storm
- Experience with Elasticsearch is a plus
- Experience with LLMs or NLP is a plus
- Familiarity with analytical databases and ETL pipeline design
- Strong analytical and problem-solving skills with a track record of delivering elegant, practical solutions
- Experience taking ownership in an unfamiliar or legacy codebase and incrementally improving it
- Strong inclination toward automation and reducing manual operational toil
Tech Stack
- Apache
- Distributed Systems
- ElasticSearch
- ETL
- Hadoop
- Kafka
- MapReduce
- Python
- Scala
- Spark
Benefits
- Work with a cross-functional team of engineers and product managers to deliver high-quality software
- Flexible work arrangements
- Professional development opportunities