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In this role, you’ll join a collaborative Service Intelligence team focused on enhancing, securing, and maintaining a mission-critical Configuration Management Database (CMDB) that supports global IT and security operations. You’ll contribute across the full stack, drive improvements to integrations and user experience, and ensure security and compliance are at the core of all deployments.
Job Responsibility:
Develop and support both front-end and back-end functionality for the CMDB and related tools
Expand, maintain, and improve integrations between a wide variety of internal and external data sources
Continuously enhance the CMDB’s UI/UX to improve user experience and functionality
Collaborate closely with IT and security teams to ensure compliance with risk management frameworks and secure design principles
Integrate security considerations into system architecture and cloud-based deployments
Apply software engineering best practices across design, coding, testing, and deployment
Contribute to continuous improvements in system performance, reliability, and maintainability
Evaluate and implement new technologies that enhance automation and efficiency
Requirements:
6+ years of experience in software engineering with a focus on front-end and/or back-end systems
Proficiency with Python, Docker containers, and Linux environments
Strong understanding of web technologies such as SvelteKit, TailwindCSS, JSON, and REST APIs
Solid foundation in Computer Science, including data structures, algorithms, and software design patterns
Experience with SQL and NoSQL databases
Expertise in CI/CD pipelines and deployment architectures
Familiarity with risk management principles and frameworks such as NIST or ISO 27001
Excellent problem-solving and collaboration skills with the ability to communicate technical concepts to diverse teams
Nice to have:
Knowledge of security compliance standards and cloud security best practices
Familiarity with Azure or other cloud computing platforms
Experience with IT operations, CMDB systems, or ITIL methodologies
Background in data science, ETL processes, or analytics
Understanding of network, storage, and server infrastructure
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