Remote Staff Backend Engineer – Real-Time Data Platform

Cresta; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Cresta is hiring a Staff full-stack engineer with a backend focus to shape the future of customer engagement. You will design and implement backend services and APIs, and collaborate with frontend, data scientists, and ML engineers to deliver end-to-end solutions.

You will optimize data storage with Postgres, ClickHouse, and Elasticsearch, ensure security and reliability, participate in code reviews, and drive performance improvements in distributed systems.

Qualifications

• Proven experience as a Backend Engineer with strong database knowledge.
• Hands-on with Postgres, ClickHouse, and Elasticsearch.
• Proficient in Python and Go for building scalable services.
• Experience designing RESTful APIs and distributed systems.
• Collaborative mindset and strong communication skills.

Responsibilities

• Design, implement, and maintain backend services and APIs.
• Build and optimize data storage with Postgres, ClickHouse and Elasticsearch.
• Collaborate with frontend, data science, and ML teams to deliver end-to-end solutions.
• Monitor, troubleshoot, and optimize distributed systems and databases.
• Write clean, maintainable code and participate in code reviews and CI.
• Ensure security, scalability, and reliability of backend services.
• Analyze system architecture for performance, scaling, and security.

Skills

Backend Engineer

Python

Go

RESTful API

Distributed systems

Team collaboration

Tools

Postgres

ClickHouse

Elasticsearch

Job description

Cresta is hiring a Staff full-stack engineer with a backend focus to shape the future of customer engagement. You will design and implement backend services and APIs, and collaborate with frontend, data scientists, and ML engineers to deliver end-to-end solutions.

You will optimize data storage with Postgres, ClickHouse, and Elasticsearch, ensure security and reliability, participate in code reviews, and drive performance improvements in distributed systems.