Backend Data Layer Engineer — Scale & Performance (Remote)

Kibbi; Toronto; Remote; CAD 127,000 - 209,000; Full time

Benefits offered by this job

Remote work

Annual Kickoff

Health & wellbeing

Pension plans

Learning budget

Job summary

Camunda is seeking a Backend Software Engineer for the Data Layer team to shape the storage and query layer powering Camunda 8’s process data. You’ll work across relational databases and Elasticsearch/OpenSearch to ensure fast, accurate data access at scale.

You’ll collaborate with product, design, QA, and support to influence how the data layer evolves and to deliver high-quality solutions. This remote-friendly role offers broad impact across enterprise automation.

Qualifications

• At least 4 years of backend engineering experience with production data stores.
• Hands-on with PostgreSQL, MySQL, MariaDB, MSSQL or Elasticsearch/OpenSearch.
• Experience turning requirements into concrete tasks, writing clear designs, and delivering reliably.
• Comfortable investigating slow queries, execution plans, and index usage.

Responsibilities

• Design, build, and maintain backend services for the data layer (relational DBs and Elasticsearch/OpenSearch).
• Own end-to-end delivery of engineering initiatives with product management and senior colleagues.
• Evolve how we process, retain, and expose process data for customers.
• Make secondary storage systems more performant and scalable; build tooling to operate data layer in production.
• Participate in L3 support and on-call rotations with Support and SRE.

Skills

Backend experience

Query optimization

Remote collaboration

Tools

PostgreSQL

MySQL

MariaDB

MSSQL

Elasticsearch/OpenSearch

Job description

Camunda is seeking a Backend Software Engineer for the Data Layer team to shape the storage and query layer powering Camunda 8’s process data. You’ll work across relational databases and Elasticsearch/OpenSearch to ensure fast, accurate data access at scale.

You’ll collaborate with product, design, QA, and support to influence how the data layer evolves and to deliver high-quality solutions. This remote-friendly role offers broad impact across enterprise automation.