Role overview

Qualifications

7+ years of professional experience designing, implementing, or consulting on applications and infrastructure.
Bachelor’s degree in Computer Science, Engineering, or a related field.
Experience with cloud platforms (AWS, Azure, GCP) and Infrastructure as Code (Terraform, CloudFormation, Ansible).
Proficiency with container orchestration (Kubernetes, Docker Swarm), configuration management (Ansible, Puppet, Chef), monitoring/logging (Prometheus, Grafana, ELK Stack), and programming/development (Python, Node.js, Bash, Go, Ruby) along with CI/CD pipelines and version control.

Responsibilities

Design, develop, test, deploy, maintain, and improve our cloud-based infrastructure with a focus on high availability, low latency, and cost-effectiveness.
Collaborate with engineering and research teams to integrate infrastructure components with product features, ensuring optimal system performance and user experience.
Serve as the infrastructure subject matter expert when designing new products and introducing new technology to our existing product line.
Develop automation scripts, tools, and frameworks to streamline deployment, monitoring, and maintenance, and implement robust security measures.

Key facts

Remote from: Brazil
Full time
Senior (5-10 years)
Infrastructure Engineer
English

Hard skills

AWS Cloud Services Terraform Kubernetes Python (Programming Language) Prometheus (Software) Logstash High Availability Design Kibana Containerization AWS CloudFormation Node.js (Javascript Library) Mathematical Optimization Calculus Code Analysis Low Latency Ansible Docker (Software) Systems Design Google Cloud Platform (GCP) Microsoft Azure Docker (Software) Ruby (Programming Language) Dev Testing Puppet (Configuration Management Tool) Infrastructure Security Elasticsearch Bash (Scripting Language) CI/CD Well Logging Maintenance Testing Performance Profiling Test Automation Configuration Management Grafana Version Control Infrastructure as Code (IaC) Continuous Monitoring Deployment Project Go (Programming Language) Chef (Configuration Management Tool) Open Source Development Cross-Functional Collaboration

Other skills

Humility
Accountability
Communication
Problem Solving

About the company

Articul8 AI

Articul8 AI is a technology company whose products transform enterprise data and expertise into powerful engines of growth, value and impact. Our full-stack GenAI platform is revolutionizing how enterprises harness their data and expertise to build expert-level Generative AI applications for their mission-critical challenges. Our products deliver enterprise-scale impact with ROI in hours to weeks. General-purpose GenAI models, while necessary, are not sufficient to deliver enterprise-specific decisioning and actioning. Our platform addresses this gap by making it straightforward for companies to build sophisticated, enterprise-scale and expert-level GenAI applications that encode their domain expertise. Our proprietary technology does the heavy lifting through autonomous decisions and actions, automated data intelligence, improved precision and relevance with industry knowledge encoded into Articul8's library of domain and task-specific models. We are purpose-built for regulated industries and meet the highest standards of compliance, data security, privacy and performance, including traceability and auditability at every step. We are trusted by leading global enterprises like AIAA, Itochu Techno-Solutions Corporation, Uptycs, AWS, NIQ, Intel and Franklin Templeton to transform their mission-critical work. We are the enterprise GenAI platform that simply works! For more information, please visit www.articul8.ai.

Company details

Company size51 - 200

Links

Website LinkedIn See all jobs

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

About us:

Articul8 was born from a simple belief: GenAI should work for the enterprise, not the other way around. Our platform — combining domain-specific models, autonomous agentic reasoning (ModelMesh™), reliable model evaluation (LLM-IQ™), and multimodal understanding — serves regulated industries such energy, semiconductor, finance, aerospace, supply chain, and more. Trusted by Fortune 500 enterprises, we bring together research, engineering, product, and domain expertise to deliver AI that meets the accuracy, explainability, and auditability standards that high-stakes environments demand.

Responsibilities:

Design, develop, test, deploy, maintain, and improve our cloud-based infrastructure, focusing on high availability, low latency, and cost-effectiveness.
Collaborate closely with engineering and research teams to integrate infrastructure components with product features, ensuring optimal system performance and user experience.

Be the subject matter expert in infrastructure when designing new products and introducing new technology to our existing product line.

Develop automation scripts, tools, and frameworks to streamline deployment, monitoring, and maintenance processes.

Implement robust security measures, adhering to industry standards and best practices, to safeguard sensitive data and prevent potential vulnerabilities.

Analyze performance metrics, identifying areas for optimization and proposing data-driven improvements.
Participate in code reviews, contribute to open-source projects, and mentor junior engineers.

Stay up-to-date with emerging trends, technologies, and methodologies, applying this knowledge to enhance our infrastructure capabilities.

Required Qualifications:

Professional experience: 7+ years of design, implementation, or consulting in applications and infrastructures experience.

Education: BSc degree in Computer Science, Engineering, or a related field.

Preferred Qualifications:

Technology stack:

Cloud Platforms: AWS, Azure, GCP

Infrastructure as Code (IaC): Terraform, CloudFormation, Ansile, etc.

Configuration Management: Ansible, Puppet, Chef

Container Orchestration: Kubernetes, Docker Swarm

Monitoring and Logging: Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana).

Programming/ Development: Python, Node.js, Bash, Go, Ruby, CI/CD pipelines, and version control.

Education: Master’s or PhD in Computer science or related technical fields.

Professional Attributes (Code42):

Practice Humility: You ask questions even when you think you know the answer. You seek feedback early, learn from anyone regardless of title, and treat every experiment — especially the failures — as data.
Bias for Outcomes: You measure your work by what changed, not what you tried. You ship results, not slide decks. When a deadline is real, you find a way.
Care Deeply: You treat every problem as yours to solve. You review your own work with the rigor you'd want from a reviewer. You help teammates without being asked.
Dare to Do the Impossible & Embrace Scarcity: You set goals that make you uncomfortable. When told something can't be done, you find a way or a better question. Constraints sharpen your thinking, not slow it down.
Build a Better World: You believe AI should make things meaningfully better for real people. You hold yourself accountable not just for whether your model works, but for what it does in the world.