Software Developer

Role: Software Developer onsite in Research Triangle Park, NC / Remote - Full-time

Job description: 421371/-KV

Must Have Technical/Functional Skills

• Proficiency in one or more programming languages: Python, Go, Java, JavaScript/Node.js, or .NET
• Proficiency in one or more low/no code applications: Corteza, Tines, Power Automate
• Professional software development experience with Python, Java, and/or JavaScript
• Strong programming experience in Linux/Unix-based environments
• Design and implementation of RESTful APIs
• Understanding of microservices architecture, patterns, and implementation
• Database design and development (SQL and NoSQL)
• Hands-on experience with CI/CD pipelines and DevSecOps practices
• Experience using CI tools such as Jenkins, Bitbucket Pipelines, or GitLab CI
• Strong understanding of Docker for building, shipping, and running distributed applications
• Cloud-native development experience with AWS, Google Cloud Platform, or Azure
• Experience with cybersecurity toolchains (preferred)
• General expertise across operating systems, programming languages, and database technologies
• Excellent communication skills; self-starter with strong initiative
• Leadership, influence, and cross-functional collaboration capabilities
• Strong problem-solving, judgment, and decision-making skills
• Ability to work effectively in global teams and deliver under tight timelines
• Adaptability and comfort working in environments with high ambiguity
• Flexibility to support various program and team needs as required
• Proficiency in leveraging Artificial Intelligence (AI) to drive innovation and efficiency within technical domains.

Roles & Responsibilities

• Write production-grade software supporting SOC workflows, analytics, and detection pipelines.
• Build integrations for SIEM, SOAR, cloud security tools, and endpoint platforms.
• Develop dashboards, APIs, automation scripts, and backend services.
• Modernize and migrate legacy internal apps to cloud-based architectures.
• Support data modeling and operational reporting development.
• Using artificial intelligence, where possible, for development and for use in tools they create for their end users. .