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Cloud & DevOps

Infrastructure Engineer (Brazil)

Articul8 · Brazil · full-time · Remote

Cloud & DevOpsfull-timeRemoteBrazil
DevOps & InfrastructureEntry-Level, Junior
RemoteJobs editorial overview

Strategic Overview

Infrastructure Engineer (Brazil) at Articul8 is a cloud-devops opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.

The published role emphasizes work such as 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…

The role is listed for Brazil with remote working arrangement, giving candidates the practical context needed to assess fit before applying. Relevant signals in the listing include DevOps & Infrastructure, Entry-Level, Junior.

Job seeker snapshot

Key information at a glance

Role focusCloud & DevOps
LocationBrazil
WorkplaceRemote
Employmentfull-time
Experience7+ years
PostedOct 19, 2026
Last seenOct 22, 2026
Role context

About This Role

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…

Job Description:

What the role delivers

Key Responsibilities & Objectives

  • 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.
  • 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.
Candidate blueprint

Required Qualifications & Candidate Blueprint

  • Education: BSc degree in Computer Science, Engineering, or a related field.
  • Education: Master’s or PhD in Computer science or related technical fields.
Compensation & benefits

Salary & Benefits

The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.

Employer-provided source content

Full Job Description

The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.

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.

Job Description:

Articul8 AI is seeking an exceptional Product/Software Engineer-Infrastructure to join us in shaping the future of Generative Artificial Intelligence (GenAI). We are looking for a Product/Software Engineer-Infrastructure with a proven track record of designing, and building scalable, reliable, and cost-effective clou-based products and solutions. As a member of our Product Technology team, you will play a pivotal role in shaping our infrastructure landscape, ensuring seamless integration, scalability, and reliability across our GenAI-driven products and services. You'll collaborate with cross-functional teams to drive innovation, optimize performance, and foster growth. This position offers exciting opportunities to work closely with cross-functional teams and external partners to drive innovations in enterprise-grade GenAI.

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.

RemoteJobs original analysis

Editor’s Market Perspective (Our Custom Analysis)

Why This Position Matters

This cloud-devops opening is a useful opportunity for candidates whose experience matches DevOps & Infrastructure, Entry-Level, Junior. Its strongest career signal is the scope of the work itself — particularly Design, develop, test, deploy, maintain, and improve our cloud-based infrastructure, focusing on high availability, low latency, and cost-effectiveness. — rather than a generic title alone.

Resume & Application Strategy

For the application, mirror the employer's language where it truthfully matches your background: foreground DevOps & Infrastructure, Entry-Level, Junior, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.

Source transparencyjobicy

We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.