Backend Data Layer Engineer — Remote, Scale & Performance

Camunda

Boston (MA)

On-site

USD 120,000 - 193,000

Full time

12 days ago

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Benefits offered by this job

Remote & Flexible Work
Annual Kickoff & team events
VSOP Equity Program
Wellbeing & Health programs

Job summary

Camunda, the enterprise platform for agentic orchestration, is hiring a Backend Software Engineer for the Data Layer team. You will build the storage and query layer supporting Camunda 8’s process data across relational databases and Elasticsearch/OpenSearch, ensuring speed, correctness, and scale.

You will partner with Product, design, QA, and Support to deliver and evolve data storage and retrieval capabilities, while tackling challenging projects like data retention and external data

Qualifications

  • 4+ years of backend engineering experience.
  • Proficient with PostgreSQL, MySQL, MariaDB, MSSQL, or Elasticsearch/OpenSearch.
  • Ability to break down requirements into concrete tasks and designs.
  • Experience diagnosing slow queries and index usage.
  • Strong written and verbal communication in a remote-first environment.

Responsibilities

  • Design, build, and maintain backend data-layer services for Camunda 8, spanning relational DBs and Elasticsearch/OpenSearch.
  • Own end-to-end delivery of engineering initiatives with Product Management and seniors.
  • Evolve how process data is stored, retained, and exposed to customers.
  • Improve secondary storage to scale with usage, and build tooling for production ops.
  • Participate in L3 support and on-call rotas with Support and SRE.

Skills

Backend engineer
Backend systems
PostgreSQL
MySQL
Elasticsearch/OpenSearch
Data modeling
Code reviews
Remote collaboration

Tools

Elasticsearch/OpenSearch

Job description

Camunda, the enterprise platform for agentic orchestration, is hiring a Backend Software Engineer for the Data Layer team. You will build the storage and query layer supporting Camunda 8’s process data across relational databases and Elasticsearch/OpenSearch, ensuring speed, correctness, and scale.

You will partner with Product, design, QA, and Support to deliver and evolve data storage and retrieval capabilities, while tackling challenging projects like data retention and external data

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