About this role
Role Overview
The Senior Software Engineer, Iris AI position at Delinea involves designing, building, and operating advanced cloud services that power AI-driven security features from the Mexico City office in a hybrid model. This opportunity suits an experienced engineer with a strong background in backend systems and artificial intelligence who wants to solve complex real-world security challenges.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
Delinea offers competitive compensation packages including a meaningful bonus program and robust healthcare insurance. Employees benefit from pension or retirement matching programs, comprehensive life insurance, an employee assistance program, flexible time-off plans, and paid company holidays.
About the Company
Delinea operates as a pioneer in securing human and machine identities through intelligent, centralized authorization that empowers organizations to govern interactions across modern enterprises. Backed by strategic investment from TPG, the company delivers cloud-native identity security platforms utilizing AI-powered intelligence to discover identities, assign access levels, detect irregularities, and respond to threats in real time. The organization fosters a culture grounded in core values known as STRONG, which stand for Spirited, Trust, Respect, Ownership, Nimble, and Global.
How to Apply
Interested candidates should visit the official Delinea careers page to submit an application for this hybrid position located in Mexico City.
Skills and tech stack
Questions candidates ask
What is the location of the Senior Software Engineer, Iris AI role?
This position is based in Mexico City using a hybrid work model.
How many years of experience are required for this job?
Candidates must have 8 or more years of experience designing and building production backend services across the full software development lifecycle.
What core programming languages are used in this role?
The engineering team develops services in C#/.NET, Python, and Go. Strength in any of these languages and an openness to learn the others is expected.
What cloud platform and infrastructure tools are utilized?
The tech stack relies heavily on Azure, Kubernetes, and Terraform for infrastructure-as-code.
What AI experience is expected from applicants?
Applicants need hands-on experience building products with LLMs, including inference, RAG, tool calling, structured outputs, or agents using platforms like Azure AI Foundry or OpenAI API.
