Senior Backend Engineer, Data Layer (Remote)

Camunda

United States

Remote

GBP 90,000 - 149,000

Full time

6 days ago
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Benefits offered by this job

Remote work
Global teams
Annual Kickoff

Job summary

Camunda, a globally remote company, seeks a Backend Senior Software Engineer for the Data Layer. You will design, implement, and scale the storage and query layer powering Camunda 8’s process data across relational databases and Elasticsearch/OpenSearch.

You will partner with PM, design, QA, and support to shape data layer evolution, handle data retention, and build tooling for safe production operations, including on-call rotations and performant pipelines.

Qualifications

  • 7+ years of backend experience with a focus on production data stores.
  • Deep experience with relational databases (PostgreSQL/MySQL/MariaDB/MSSQL) and Elasticsearch/OpenSearch.
  • Proven track record leading medium-to-large engineering initiatives end-to-end.
  • Strong ability to diagnose slow queries and index usage in production.
  • Excellent written and verbal communication in a remote-first environment.

Responsibilities

  • Design, build, and maintain the data layer for Camunda 8’s process data across relational databases and Elasticsearch/OpenSearch.
  • Own end-to-end delivery of engineering initiatives, translating requirements into concrete designs and schedules.
  • Evolve data storage and retention, and enable data access for customers as needed.
  • Improve secondary storage performance and build tooling for production operations and troubleshooting.
  • Participate in L3 support and on-call rotations, feeding learnings back into the product.

Skills

Backend development
PostgreSQL
Elasticsearch/OpenSearch
Leadership
Performance tuning
Remote collaboration

Tools

Liquibase
Flyway

Job description

Camunda, a globally remote company, seeks a Backend Senior Software Engineer for the Data Layer. You will design, implement, and scale the storage and query layer powering Camunda 8’s process data across relational databases and Elasticsearch/OpenSearch.

You will partner with PM, design, QA, and support to shape data layer evolution, handle data retention, and build tooling for safe production operations, including on-call rotations and performant pipelines.

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