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Ernesto Aguilera

@ernestoaguilera

Message

Senior Cloud DevOps engineer; I build secure, scalable AI platforms across AWS, Azure, and GCP with LLMOps excellence.

Mexico

Message

What I'm looking for

I’m looking for senior or lead engineering roles building secure, cloud-native AI infrastructure and distributed systems—standardizing platforms, reducing incident resolution time, and driving measurable cost and reliability improvements in cross-functional teams.

I’m a Senior Cloud DevOps & AI platform engineer with 8+ years designing secure, scalable, cloud-native solutions across AWS, Azure, and Google Cloud for enterprise AI/ML products.

At Teradata R&D, I architect and run a centralized AI platform standardizing LLM/ML access for 100+ enterprise users. I manage 400+ Kubernetes microservices (EKS, AKS, GKE, Rancher) and cut cross-team incident resolution by 97% (4h to 30min).

I specialize in LLMOps and agentic AI workflows—building production-grade multi-agent pipelines with LangChain, LangGraph, MCP, and RAG. I’ve also implemented semantic caching and token-rate controls that reduced inference costs by 40% while preserving response quality.

I’m deeply focused on DevSecOps and platform reliability: FIPS-compliant security controls, PKI, mTLS, CMEK, NIST/RFC alignment, and hardened IAM with Keycloak for centralized SSO and scalable RBAC/ABAC. I’m a polyglot engineer across Python, Java, Go, Rust, C/C++, and Elixir, and I enjoy leading teams through structured onboarding and measurable engineering outcomes.

Experience

Work history, roles, and key accomplishments

Current

Cloud DevOps Engineer II

Current

Teradata

Nov 2024 - Present (1 year 7 months)

Architected a centralized AI platform standardizing LLM/ML access for 100+ enterprise users, managing GPU-aware scheduling and token/rate limiting across multi-cloud Kubernetes (EKS, AKS, GKE, Rancher). Reduced cross-team incident resolution by 97% (4h to <30min) and saved 1,200–1,800 engineering hours annually ($90K–$135K) by building a production multi-agent AI pipeline and semantic caching.

Kubernetes GKE Istio APISIX LangGraph MCP Keycloak

Cloud Engineer II

Teradata

Nov 2022 - Nov 2024 (2 years)

Designed and implemented cloud infrastructures across AWS, Azure, GCP, and hybrid on-prem using Docker, Kubernetes, and Python to improve scalability and availability for an enterprise cloud product. Reduced multi-team issue resolution time from 6 to 4 weeks and cut CI merge conflicts/CI failures by ~35% while improving integration reliability through GitOps practices.

Docker Kubernetes AWS Azure GCP Python Git Jenkins GitOps Unit Testing

Freelance Software Developer

Self-Employed

Jan 2017 - Dec 2022 (5 years 11 months)

Delivered Java desktop and backend applications for local businesses using Spring Boot/Jakarta EE, REST APIs, Hibernate/JDBC, and JavaFX/Swing GUIs. Built full-stack MEAN e-commerce platforms and maintained multi-client delivery across 10+ projects with robust MVC and ORM-backed data layers over 6+ years.

Java Spring Boot REST APIs JDBC Java FX Angular MongoDB

Software Engineer Intern

Instituto de Ciencias Nucleares (UNAM)

Feb 2021 - Oct 2021 (8 months)

Refactored Java/Python research software to improve testability by +75% and reduce development cycle time by 40%. Modernized team workflow with Git submodules/LFS, accelerated CI with Docker and Jenkins, and evaluated Java frameworks for scientific data processing alongside FreeRTOS for embedded boards.

Java Python Refactoring Design Patterns Docker Jenkins Git Submodules Test Coverage FreeRTOS

Networking Support Intern

Instituto Politécnico Nacional (IPN)

Nov 2016 - Apr 2017 (5 months)

Configured and maintained two IPv4 networks and managed local server services for on-premise institutional deployments. Supported installation and upkeep of servers and service configurations across classroom/lab environments.

IPv4 On Premise Troubleshooting

Education

Degrees, certifications, and relevant coursework

Facultad de Ingeniería — UNAM

B.Eng. in Computer Engineering, Computer Engineering

Activities and societies: Specialization: Data Mining, Pattern Recognition, Text Processing & Analysis, NLP, Digital Image Processing. Core: OS, Compilers, Distributed Systems, Embedded Systems, AI, Database Systems, Computer Networks, Data-Intensive Applications.

B.Eng. in Computer Engineering from UNAM with specialization coursework in data mining, pattern recognition, text processing & analysis, NLP, and digital image processing. Core topics included distributed systems, embedded and AI, and data-intensive applications.

Instituto Politécnico Nacional (IPN)

Technical Degree, Computer Programming & Full Stack Java Development

Activities and societies: Full Stack Java: Java Backend, Java EE, Android, HTML5, CSS3, JavaScript, Relational Databases.

Technical degree focused on computer programming and full stack Java development. Covered Java backend and Java EE, Android, and web development with HTML5, CSS3, and JavaScript, plus relational databases.