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Senior .Net Developer Ai

at Delinea

Mexico City, hybrid, senior, full time, 8+ years

posted 12 Aug 2026

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  • C#
  • Azure
  • SaaS
  • Go
  • Distributed Systems
  • LLM
  • Cursor
  • Microservices
  • GitHub Copilot
  • Azure AI Foundry
  • API Design
  • OpenAI API
  • Anthropic API
  • MLOps
  • Terraform
  • Claude Code
  • CI/CD
  • .NET
  • RAG
  • Google Vertex AI
  • Amazon Bedrock
  • Python
  • Kubernetes

About the role

Posted: 2026-08-12

What you would 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 they are looking for

- 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.

- 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.

Read from jobs.ashbyhq.com, last seen 1d ago.

- 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.