Backend Data Layer Engineer | PostgreSQL & Elasticsearch

Camunda; Austin (TX); On-site; USD 110,000 - 160,000; 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

Job summary

Camunda is seeking a backend engineer to design and maintain data-layer services using relational databases and Elasticsearch/OpenSearch, ensuring high performance and scalability. You will own end-to-end delivery of engineering initiatives and participate in L3 support and on-call rotations in a remote-friendly environment.

Ideal candidates have 4+ years in backend engineering, strong query optimization skills, and proficiency with at least one major database or search engine.

Qualifications

• Requires at least 4 years of backend engineering experience with a strong focus on production data stores and query optimization.
• Proficient in at least one major relational database or search engine.
• Strong collaboration skills for a remote environment.

Responsibilities

• Design 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

PostgreSQL

MySQL

MariaDB

MSSQL

Elasticsearch

OpenSearch

Data Modeling

Query Performance Tuning

Indexing

Technical Design

CI Pipelines

Liquibase

Flyway

Process Orchestration

L3 Support

Job description

Camunda is seeking a backend engineer to design and maintain data-layer services using relational databases and Elasticsearch/OpenSearch, ensuring high performance and scalability. You will own end-to-end delivery of engineering initiatives and participate in L3 support and on-call rotations in a remote-friendly environment.

Ideal candidates have 4+ years in backend engineering, strong query optimization skills, and proficiency with at least one major database or search engine.