Software Engineer - Cybersecurity

HealthEquity; Draper (UT); Remote; USD 90,000 - 120,000; Full time

Job summary

A leading company is seeking a skilled Cybersecurity Software Engineer to develop innovative cybersecurity tools. The ideal candidate will utilize Golang for product development and Python for automation, ensuring secure coding practices and addressing emerging cyber threats. This remote position offers the opportunity to work on cutting-edge solutions in a dynamic environment.

Qualifications

• 2+ years of professional software engineering experience focused on cybersecurity.
• Experience with cloud-native security tools and platforms.

Responsibilities

• Design, develop, and maintain cybersecurity and fraud prevention tools using Golang.
• Create automation scripts using Python to enhance security workflows.

Skills

Golang

Python

Problem Solving

Education

Bachelor's degree in Computer Science

Tools

AWS

Kubernetes

Job description

Software Engineer - Cybersecurity

Job Locations: US-Remote

Our Mission

Our mission is to SAVE AND IMPROVE LIVES BY EMPOWERING HEALTHCARE CONSUMERS. Come be part of remarkable.

Overview

How you can make a difference

We are seeking a skilled Cybersecurity Software Engineer to join our dynamic team, focusing on the development and delivery of cutting-edge cybersecurity and fraud prevention tools. The ideal candidate will have experience in building and delivering secure, scalable solutions using Golang for core product development and Python for automation. This role requires a proactive, independent engineer with a strong background in supporting security or fraud teams to address cyber defense, fraud prevention, and security automation challenges.

What you'll be doing

1. Design, develop, and maintain cybersecurity and fraud prevention tools using Golang for high-performance, scalable product builds.
2. Create and implement automation scripts and workflows using Python to enhance security workflows and streamline processes.
3. Collaborate with Distinguished/Principal Engineers and Cyber Engineers to solution and deliver innovative tools that address emerging threats in cyber defense and fraud prevention.
4. Ensure secure coding practices and robust testing to deliver reliable, production-ready solutions.
5. Drive projects from concept to deployment, ensuring alignment with business and security objectives.
6. Stay updated on the latest cybersecurity trends, vulnerabilities, and fraud tactics to inform tool development.

What you will need to be successful

1. Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
2. 2+ years of professional software engineering experience, with a focus on cybersecurity or fraud prevention tooling.
3. Proficient and independent experience in Golang for building secure, scalable, and high-performance applications, with demonstrated expertise in:
   • Golang's concurrency model, including goroutines and channels, to develop efficient, parallelized security tools.
   • Writing idiomatic Go code, leveraging interfaces, structs, and error handling for robust application design.
   • Optimizing performance using Go's standard library and profiling tools for resource-intensive cybersecurity applications.
   • Building RESTful APIs and microservices in Go for secure, scalable deployments.
4. Advanced proficiency in Python for automation, scripting, and integrating security workflows.
5. Proven experience working with or directly supporting security teams in designing and delivering cybersecurity or fraud prevention solutions.
6. Familiarity with open-source tools and frameworks in the cybersecurity domain (e.g., intrusion detection, SIEM, fraud detection libraries).
7. Familiarity with the startup ecosystem and a track record of contributing to or leveraging open-source cybersecurity projects.
8. Experience with cloud-native security tools and platforms (e.g., AWS, Kubernetes, or similar) for deploying and securing distributed systems.
9. Strong understanding of secure software development lifecycle (SDLC) practices and DevSecOps principles.
10. Ability to deliver complex projects in a fast-paced environment.
11. Excellent problem-solving skills and a passion for tackling cutting-edge cybersecurity challenges.
12. Contributions to open-source cybersecurity or fraud prevention projects (e.g., GitHub repositories, tool development).
13. Knowledge of modern fraud detection techniques, including machine learning or behavioral analytics.
14. Familiarity with compliance frameworks such as SOC 2, GDPR, or PCI-DSS.
15. Experience with other programming languages (e.g., Rust, C++) for security-focused applications.
16. Knowledge of cyber threats and threat-informed defense concepts, including adversarial tactics, techniques, and procedures (TTPs), and their application to prevention methodologies such as proactive threat hunting, zero-trust architecture, and behavior-based detection.

#LI-Remote

This is a remote position.