Senior Software Engineer – Platform Services
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Job Description
Senior Software Engineer for Delinea, developing secure cloud-based solutions. Collaborating on microservices using C# .NET and driving innovation in AI-assisted automation.
Responsibilities:
- Architect the design and help develop, test and maintain secure microservices and distributed systems using C# .NET, ensuring alignment with Delinea’s cloud and security architecture standards.
- Lead the design and implementation of AI and automation features using the Model Context Protocol (MCP) to enable intelligent, adaptive access management.
- Develop, maintain, and optimize database schemas, queries, and stored procedures across SQL and NoSQL systems such as Azure SQL and Cosmos DB.
- Ensure data integrity, availability, and security within microservice communication and storage layers.
- Implement Infrastructure as Code (IaC) using Terraform for consistent provisioning and lifecycle management of Azure resources.
- Develop and maintain CI/CD pipelines for secure, automated deployments using Azure DevOps.
- Collaborate with architects, product managers, and DevOps teams to define system roadmaps, ensuring compliance with security and privacy requirements.
- Conduct code and design reviews, emphasizing performance, security, and maintainability.
- Provide technical mentorship to engineering peers and foster a culture of continuous improvement.
- Drive innovation in AI-assisted automation, context-aware security, and data-driven decisioning across Delinea’s platforms.
Requirements:
- Bachelor’s or Master’s degree in computer science, software engineering, or a related technical field.
- Minimum 5 years of professional experience in software engineering with C# .NET and microservices architectures.
- Proficiency in designing, developing, and maintaining relational and NoSQL databases, including Azure SQL, Cosmos DB, PostgreSQL, or MongoDB.
- Strong understanding of data modeling, query optimization, and transactional consistency within distributed environments.
- Advanced proficiency with Kubernetes and container orchestration.
- Expertise in Infrastructure as Code (IaC) using Terraform for Azure Cloud.
- Practical experience integrating AI/ML systems using the Model Context Protocol (MCP) or similar AI frameworks.
- Experience with CI/CD tools such as Azure DevOps, GitHub Actions, or Jenkins.
- Deep understanding of cloud security principles, identity management, and privileged access control.
- Excellent problem-solving, analytical, and communication skills.
- Demonstrated ability to lead and mentor within a collaborative team environment.
Benefits:
- healthcare insurance
- pension/retirement matching
- comprehensive life insurance
- employee assistance program
- time off plans
- paid company holidays
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