Staff Software Development Engineer - GPTOps (Backend/Cloud Focus)

About Delinea:
Delinea is a pioneer in securing human and machine identities through intelligent, centralized authorization, empowering organizations to seamlessly govern their interactions across the modern enterprise. Leveraging AI-powered intelligence, Delinea’s leading cloud-native Identity Security Platform applies context throughout the entire identity lifecycle – across cloud and traditional infrastructure, data, SaaS applications, and AI. It is the only platform that enables you to discover all identities – including workforce, IT administrator, developers, and machines – assign appropriate access levels, detect irregularities, and respond to threats in real-time. With deployment in weeks, not months, 90% fewer resources to manage than the nearest competitor, and a 99.995% uptime, Delinea delivers robust security and operational efficiency without compromise. Learn more about Delinea on Delinea.com, LinkedIn, X, and YouTube.

Join our passionate, global team at Delinea and help us make the world a safer and more secure place. Our success is driven by world-class product leadership, outstanding engineers, and strategic investment from TPG. We value diversity, innovation, and a culture of respect and fairness. If you're ready to push boundaries and challenge the status quo in security, we want to hear from you.
 

Apply today to help us achieve our mission.

About GPTOps:
GPTOps is a standalone AI operations service within the Delinea Platform, powering seamless, secure, and compliant interaction with OpenAI and other LLMs for platform users. GPTOps delivers advanced features such as Retrieval-Augmented Generation (RAG), real-time feedback, self-evaluation to reduce hallucinations, intelligent follow-up suggestions, and dynamic content management. The service integrates with MCP Services running in Kubernetes containers, leverages platform AI libraries, and supports scalable backend and cloud operations for innovation and reliability.

What You’ll Do:

• Design, maintain, and deploy scalable and highly available backend and cloud-based applications using C#, Azure AI Foundry, and Kubernetes.

• Implement and manage load balancing solutions to ensure high availability and scalability of backend services.

• Work closely with the CloudOps team to ensure robust, secure, and efficient cloud operations.

• Collaborate with cross-functional teams (PM, UX, Dev) using Scrum processes to understand requirements, propose technical solutions, and contribute to architectural decisions.

• Participate in code reviews to ensure high-quality and maintainable code.

• Optimize backend applications and infrastructure for performance, scalability, and cost efficiency.

• Troubleshoot and resolve cloud-production issues, ensuring the reliability and availability of our systems.

• Continuously improve development and automation processes (code quality, E2E testing, security scans, etc.), monitoring, and incident response.

• Contribute to and improve the code, tooling, and techniques that are shared across Platform teams.

What You'll Need:

• Bachelor’s or higher degree in Computer Science, Software Engineering, or a related field.

• 8+ years of professional experience as a software engineer, with a focus on backend/cloud development and C#.

• Relevant experience leading a team

• Strong problem-solving skills and the ability to troubleshoot and resolve complex technical issues and learn large code bases.

• Proficiency in C#, Azure AI Foundry, and Kubernetes.

• Experience implementing and managing load balancing solutions.

• Affinity with Terraform or other Infrastructure as Code (IaC) tools.

• Familiarity with platform AI libraries.

• Excellent communication and collaboration skills in English (written and oral), with the ability to work effectively with a globally distributed team.

• Experience with DevOps practices, CI/CD pipelines, unit testing, and automation testing.

• Familiarity with cloud security principles and best practices.

We'd Love to See:

• Familiarity with AI, LLMs, MCP.

• Experience with microservices, distributed systems, and API development.

• Knowledge of working with Cloud Platforms and services (especially Azure AI Foundry) and Kubernetes.

• Experience with cost control and compliance in cloud/AI operations.

• Passion for technology and innovation.

Why work at Delinea?

• We're passionate problem-solvers helping the world's largest organizations protect what matters most: their human and machine identities.

• We invest in people who are smart, self-motivated, and collaborative.

• What we offer in return is meaningful work, a culture of innovation and great career progression.

At Delinea, our core values are STRONG and guide our behaviors and success:

• Spirited - We bring energy and passion to everything we do

• Trust - We act with integrity and deliver on our commitments

• Respect - We listen, value different perspectives, and work as one team

• Ownership - We take initiative and follow through

• Nimble - We adapt quickly in a fast-changing environment

• Global - We embrace diverse people and ideas to drive better outcomes

We believe weaving these core values into our day-to-day actions, and our process for hiring, evaluating, and promoting employees, helps us cultivate a work environment that embraces collaboration and camaraderie.

We take care of our employees. We offer competitive salaries, a meaningful bonus program, and excellent benefits, including healthcare insurance, as well as pension/retirement matching, comprehensive life insurance, an employee assistance program, time off plans, and paid company holidays.

Delinea is an Equal Opportunity and Affirmative Action employer and prohibits discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Upon conditional offer of employment, candidates are required to complete comprehensive criminal background check, verification of education, and verification of employment, per employment policy. In addition, all publicly posted social media sites may be reviewed.