Work Location (State, City and Zip)RTP, NC,USA

Base salary range (Min. & Max. to be mentioned)110000 - 130000

Experience Range:6-10 Years

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, GCP, 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.