Manager, Software Development Engineer, Iris AI

delinea; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Delinea is seeking a Manager, Software Engineering to lead the Iris AI engineering team. You will manage senior engineers building the services behind Delinea's AI features, including LLM inference, retrieval, tool calling, and agents.

You will own part of the Iris AI roadmap, ensure high-quality AI-powered development, and mentor your team to deliver secure, scalable software. You will collaborate with Product, UX, Architecture, and platform teams to align priorities and drive results, while

Qualifications

• Bachelor's degree or equivalent in CS or related field.
• 2+ years directly managing software engineering teams with hands-on engineering background.
• 7+ years designing, building, and shipping enterprise software to production.
• Hands-on experience shipping products built on LLMs (inference, tool calling, or agents).
• Fluency with AI-assisted development and a clear point of view on running a team that uses it well.

Responsibilities

• Lead, grow, and retain a software engineering team within Iris AI, including hiring, coaching, performance reviews, and career development.
• Translate roadmaps into operational plans; own delivery, scope, and priorities for your team.
• Oversee code and design reviews to maintain a high bar for performance, security, and maintainability.
• Own the team's operational health: infrastructure as code, CI/CD, monitoring, on-call, and incident response.

Skills

People management

Software engineering

Enterprise software

LLM experience

Technical leadership

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Azure AI Foundry

OpenAI API

Amazon Bedrock

Google Vertex AI

Anthropic API

Claude Code

GitHub Copilot

Job description

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.

About the Iris AI Team:

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.

Summary:

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.

Leadership Responsibilities:

• 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.

What You'll Do:

• 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.

What You'll Need:

• 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 similar.
• Fluency with AI-assisted development (Claude Code, GitHub Copilot, Cursor, or similar) and a clear point of view on running a team that uses it well: spec-driven development, careful context management, and verified, tested output.
• Strong understanding of distributed systems, API design, microservices, and multi-tenant SaaS architecture, with experience on a major cloud provider (Azure preferred).
• Proven ability to translate roadmaps into actionable plans, set priorities, and manage resourcing to meet deadlines.
• Excellent communication and stakeholder management skills.

We'd Love to See:

• Experience building tools, APIs, or integrations that AI agents call (MCP servers, function/tool-