Senior Software Engineer, Iris AI

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. Senior Software Engineer, Iris AI About the Iris AI Team Iris AI powers the AI-driven capabilities of the Delinea Platform, tackling real-world security challenges. Our team leverages LLMs to detect anomalies in audit data, enhance authorization decisions, and deploy intelligent agents that deliver tangible results for our customers. The work is innovative, fast-paced, and directly impacts some of the world’s largest organizations. The Role As a Senior Software Engineer, you'll design, build, and operate the cloud services that drive Delinea's AI features. LLMs are a core part of your toolkit: from inference and retrieval to agents and evaluation, you’ll take ownership across the product surface. Our services are developed in C#/.NET, Python, and Go—strength in any is valued, and openness to learn others is expected. You’ll report to the Director of Engineering, Iris AI This position is in a Hybrid Model in Mexico city . What You'll Do Build and operate scalable, highly available backend services in C#/.NET, Python, and Go, utilizing Azure and Kubernetes. Develop LLM-powered features using platforms such as Azure AI Foundry: model integration, context pipelines, RAG, tool calling, agents, and evaluation. Design event-driven, asynchronous architectures across microservices. Take end-to-end responsibility for delivery, including infrastructure-as-code with Terraform, CI/CD pipelines, monitoring, and production incident response. Collaborate with product, UX, and other platform teams; actively participate in code and design reviews. Leverage AI in your daily workflow; use coding agents to design, write, and review code held to the same standard as hand-written code. What You'll Need Bachelor’s in Computer Science or related field, or equivalent experience. 8+ years of experience designing and building production backend services in C#/.NET, Python, or Go, and engaging across the full software development lifecycle. Hands-on experience building products with LLMs, including inference, structured outputs, RAG, tool calling, or agents (e.g., Azure AI Foundry, OpenAI API, Amazon Bedrock, Google Vertex AI, Anthropic API, or similar). Proficiency with AI-assisted development (e.g., Claude Code, GitHub Copilot, Cursor), with emphasis on spec-driven development, careful context management, and verified, tested output. Strong understanding of distributed systems, API design, and microservices, as well as experience with a major cloud provider. Sound knowledge of multi-tenant SaaS architecture and the challenges of operating at scale. Bonus Points Experience building tools, APIs, or integrations that AI agents call (e.g., MCP servers, function/tool-calling interfaces, plugins). Depth in ML and MLOps: fine-tuning, evaluation harnesses, and model deployment in production. Expertise in Kubernetes, Terraform, and CI/CD pipelines. Background in identity security, PAM, or Zero Trust architectures. 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.