Manager, Software Development 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 , Linked In, X, and You Tube.

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.

Iris AI powers the AI-driven capabilities of the Delinea Platform. The team uses LLMs to detect anomalies in audit data, enhance authorization decisions, and deploy intelligent agents that deliver measurable results for some of the world's largest organizations. The work is new, fast-moving, and sits at the intersection of identity security and applied AI.

Delinea is seeking a Manager, Software Engineering to join the leadership of Iris AI. You will

manage a team of senior engineers who build and operate the services behind Delinea's AI features: LLM inference, retrieval, tool calling, agents, and evaluation.

You will own a portion of the Iris AI roadmap and the engineers delivering it, hold a high bar for how LLM-powered features are built and verified, and grow a team that treats AI-assisted development as a core engineering discipline.

You will report to the Director of Engineering, Iris AI.

• Lead, grow, and retain a team of software engineers within Iris AI, including hiring, coaching, 1:1s, performance reviews, and career development.
• Translate product and engineering roadmaps into operational plans; own delivery, scope, and priorities for your team.
• Partner with peer engineering managers, Product, UX, Architecture, and platform teams to align priorities and present results and recommendations.

• Manage day-to-day engineering for your team, balancing feature delivery, reliability, technical debt, and LLM cost and latency.
• Help establish quality practices for non-deterministic systems across Iris AI: eval harnesses, regression testing for prompts and agents, and production monitoring of model behavior.
• Ensure AI features meet Delinea's security and privacy standards, including tenant data isolation, defenses against prompt injection and tool misuse, and responsible handling of customer audit data.
• Oversee code and design reviews to maintain a high bar for performance, security, and maintainability.
• Own the team's operational health: infrastructure as code with Terraform, CI/CD, monitoring, on‑call, and incident response.
• Champion AI‑first engineering. The team uses coding agents to design, write, and review code daily; help set the practices that hold that output to the same standard as hand‑written code, and measure the impact.

• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
• 2+ years directly managing software engineering teams, with a strong hands‑on engineering background.
• 7+ years designing, building, and shipping enterprise software products to production.
• Hands‑on experience shipping products built on LLMs (inference, structured outputs, RAG, tool calling, or agents) using Azure AI Foundry, OpenAI API, Amazon Bedrock, Google Vertex AI, Anthropic API, or…