Backend Data Layer Engineer - Scale & Performance (Remote)

Camunda

New York (NY)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Home office budget
Co-working space
Flexible time off
Annual kickoff
Team offsites
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 in New York is seeking a backend engineer to design and maintain backend services for the data layer, leveraging PostgreSQL/MySQL/MariaDB, Elasticsearch/OpenSearch to ensure performance and scale. You will own end-to-end delivery of engineering initiatives and participate in L3 support and on-call rotations.

The role requires at least 4 years of backend experience with production data stores and query optimization, and proficiency with at least one major relational database or search

Qualifications

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

Responsibilities

  • Design and maintain backend services for the data layer.
  • Own end-to-end delivery of engineering initiatives and participate in L3 support and on-call rotations.

Skills

Backend Engineering
Data Modeling
Query Performance Tuning
Indexing
Technical Design
CI Pipelines
Process Orchestration

Tools

PostgreSQL
MySQL
MariaDB
MSSQL
Elasticsearch
OpenSearch
Liquibase
Flyway

Job description

Camunda in New York is seeking a backend engineer to design and maintain backend services for the data layer, leveraging PostgreSQL/MySQL/MariaDB, Elasticsearch/OpenSearch to ensure performance and scale. You will own end-to-end delivery of engineering initiatives and participate in L3 support and on-call rotations.

The role requires at least 4 years of backend experience with production data stores and query optimization, and proficiency with at least one major relational database or search

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