Senior Backend Engineer – Security & Distributed Systems

RapidFort, Inc.; United States; Remote; USD 150,000 - 200,000; Full time

Benefits offered by this job

Equity participation

Remote-first work environment

Paid time off

Job summary

RapidFort is seeking a Senior Software Engineer – Security & Distributed Systems to design and build backend services for a security platform operating across distributed, containerized environments. You will work on processing large volumes of security and runtime data, architect scalable data pipelines, and ensure robust, scalable software through production deployment.

The role emphasizes solving complex systems challenges with Linux, containers, Kubernetes, and cloud infrastructure, with

Qualifications

• 5+ years of professional software engineering experience.
• Strong backend experience with distributed systems.
• Proficiency in Python, Go, C++, or Java.
• Hands-on with Docker, containers, and Kubernetes.
• Experience designing APIs and data processing systems.
• Familiarity with cloud environments (AWS/Azure/GCP).

Responsibilities

• Design, build, and maintain reliable backend services and distributed systems.
• Develop core components of the security and software supply chain platform.
• Process and analyze large volumes of security data and runtimes.
• Design scalable APIs, services, and data pipelines.
• Work across Linux, containers, Kubernetes, and cloud environments.
• Write clean, tested production code and participate in design discussions.
• Collaborate with security researchers and engineers to deliver scalable capabilities.

Skills

5+ years of experience

Python

Go

C++

Java

Distributed systems

Backend platforms

Linux

Tools

Docker

Kubernetes

Cloud providers (AWS/Azure/GCP)

Job description

RapidFort is seeking a Senior Software Engineer – Security & Distributed Systems to design and build backend services for a security platform operating across distributed, containerized environments. You will work on processing large volumes of security and runtime data, architect scalable data pipelines, and ensure robust, scalable software through production deployment.

The role emphasizes solving complex systems challenges with Linux, containers, Kubernetes, and cloud infrastructure, with