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What is the role of a Staff AI Enablement Engineer at Jobgether?

The Staff AI Enablement Engineer position at Jobgether is a Full-time or part-time position opportunity in the Human Resources field.

Where is this Staff AI Enablement Engineer job located?

Brazil, Indiana, 47834, United States

What type of employment is offered for this Staff AI Enablement Engineer role?

Full-time or part-time position

What is the expected salary for this Staff AI Enablement Engineer job?

Compensation will be discussed during the hiring process.

Staff AI Enablement Engineer job near me in Brazil, Indiana at Jobgether

Staff AI Enablement Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff AI Enablement Engineer based in Brazil.

This is an exciting opportunity for an experienced engineer passionate about AI-driven software development, cloud platforms, and enterprise-scale automation. In this role, you will help shape the future of engineering practices by enabling teams to adopt AI-native, specification-driven development workflows and modern platform engineering standards. You will collaborate with architects, developers, DevOps, and security teams to build scalable solutions that improve productivity, consistency, and operational excellence across the organization. Working in a highly collaborative and innovation-focused environment, you will lead technical initiatives that drive automation, cloud transformation, and platform reliability. This position offers the chance to influence engineering strategy while mentoring teams and promoting best practices across a large-scale technology ecosystem.

Accountabilities:

Design and develop automation frameworks that support modern cloud-native architectures, microservices, API management, containerization, and secure deployment practices.
Create reference implementations and reusable development patterns that enable AI-assisted, specification-driven software delivery across engineering teams.
Research, evaluate, and recommend emerging technologies, tools, and methodologies to improve engineering productivity and platform capabilities.
Mentor developers and DevOps engineers on best practices related to cloud infrastructure, CI/CD pipelines, automation, and platform engineering.
Collaborate with architecture, security, compliance, and infrastructure teams to ensure platform solutions align with organizational standards and governance requirements.
Build, deploy, and maintain highly available, secure, resilient, and scalable cloud-based solutions across multiple environments and regions.
Lead incident investigations, root cause analysis, and continuous improvement initiatives to enhance reliability and operational efficiency.
Drive infrastructure automation, disaster recovery readiness, observability, and operational excellence through modern engineering practices.
Contribute to engineering culture by promoting code quality, peer reviews, continuous delivery, and technical innovation.

Requirements

Proven experience implementing AI-assisted or specification-driven software development workflows and engineering practices.
Strong background in Linux/Unix environments and scripting using Python and Bash.
Hands-on experience with AWS, including cloud security, networking, high-availability architectures, and autoscaling solutions.
Expertise in Infrastructure as Code (IaC) and container technologies such as Terraform, Docker, and Kubernetes.
Experience building and supporting RESTful APIs and cloud-native applications.
Strong knowledge of CI/CD pipelines, DevOps practices, release automation, and deployment strategies including canary, blue/green, and A/B testing.
Experience working within platform engineering, DevOps, or Site Reliability Engineering environments.
Familiarity with cloud monitoring, logging, observability, performance management, and security monitoring tools.
Understanding of GitOps principles and modern software delivery methodologies.
Excellent problem-solving, communication, collaboration, and stakeholder management skills.
Ability to quickly learn new technologies and identify opportunities for automation and process optimization.
Professional proficiency in English, both written and verbal.
Experience with API gateways, GitHub, Azure DevOps, multi-cloud environments, or service mesh technologies is considered a plus.

Benefits

Fully remote position based in Brazil.
Opportunity to work on cutting-edge AI enablement and platform engineering initiatives.
Exposure to large-scale cloud infrastructure and enterprise technology ecosystems.
Collaborative and innovation-driven engineering culture.
Continuous learning and professional development opportunities.
Access to modern tools, technologies, and engineering best practices.
Comprehensive and competitive benefits package designed to support personal and professional well-being.
Inclusive workplace committed to diversity, equity, and career growth.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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Staff AI Enablement Engineer in Brazil, Indiana at Jobgether

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