Backend Data Layer Engineer – Scale & Performance (Remote)

Camunda; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Home office budget

Co-working space support

Flexible time off

Annual Kickoff

Team offsites

Camundi Connection Budgets

Healthcare

Mental wellbeing support

Live Well Lifestyle Spending Account

Retirement and pension plans

Life insurance

Disability insurance

Professional growth budget

Virtual Stock Option Plan

Job summary

Camunda is seeking a backend engineer to design, build, and maintain data-layer services using relational databases and Elasticsearch/OpenSearch to scale and perform efficiently.

You will own end-to-end delivery of engineering initiatives and participate in L3 support and on-call rotations, collaborating in a remote-first environment to ensure reliability and performance across data stores.

Qualifications

• Requires at least 4 years of backend engineering experience with a strong focus on production data stores and query optimization.
• Candidates must be skilled in technical design and collaboration within a remote-first environment.
• Experience with relational databases and search technologies is essential.

Responsibilities

• Design, build, and maintain backend services for the data layer using relational databases and Elasticsearch/OpenSearch to ensure high performance and scale.
• Own the end-to-end delivery of engineering initiatives and participate in L3 support and on-call rotations.

Skills

Backend Engineering

Data Modeling

Query Performance Tuning

Technical Design

L3 Support

Tools

PostgreSQL

MySQL

MariaDB

MSSQL

Elasticsearch

OpenSearch

Liquibase

Flyway

CI Pipelines

Process Orchestration

Job description

Camunda is seeking a backend engineer to design, build, and maintain data-layer services using relational databases and Elasticsearch/OpenSearch to scale and perform efficiently.

You will own end-to-end delivery of engineering initiatives and participate in L3 support and on-call rotations, collaborating in a remote-first environment to ensure reliability and performance across data stores.