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D
Delinea
Manager, Software Development Engineer, Iris AI
Career Insights for Software Development / Engineering Manager
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Based on California data
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What they do
A Software Development or Engineering Manager leads teams of software developers who design or improve computer software. Manages and oversees the software development process and directs the work of software engineers. May be primary contact with customers or users; may manage software development project budgets and hire or train staff.
$190,032 / year median in California
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.
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.
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.
See:
- Experience building tools, APIs, or integrations that AI agents call (MCP servers, function/tool
- calling interfaces, plugins).
- Expertise in Kubernetes, Terraform, and CI/CD pipelines.
- Experience launching new teams or products in ambiguous, fast-changing environments.
- Experience establishing AI-first engineering practices and measuring their impact.
- 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.
Benefits
- Health and Wellness Programs
- Bonuses/Stipends
- Dental Insurance
- Life Insurance