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Cloud Engineer

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Cloud Engineer

Senior IT Analyst

Artefact

Удалённо

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Описание вакансии

The current opening is for the Brazilian office located in São Paulo/SP, but we are in a Home Office model (with no plans to return in person) and the work in the physical office is optional.
Who We Are
Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 300+ internation brands around the globe.

We have 1000+ employees across 20 offices in 17 countries who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

We are looking for a Senior IT Analyst to run and improve the IT environment used by our teams across the Americas. Our main platforms are already in place, and the work now is largely about making them better as the region grows: spotting what is not working well, proposing a solution and putting it into practice. There is a lot to do in stability, security and automation, and we want someone who brings these gaps to the table instead of waiting for them to be assigned.

You will work closely with the IT Director on the regional IT roadmap and lead your own initiatives, from the first proposal to implementation. We are looking for someone organized, who plans the work, documents what is delivered and keeps priorities and risks clear for the people involved.

What you will be doing: Key responsibilities

  • Manage the device fleet across the region: provisioning, configuration, compliance and lifecycle. For macOS (Jamf) and Windows environments, keeping standards consistent across countries
  • Administer identity and collaboration platforms (Google Workspace, Microsoft Entra ID), including SSO, MFA, access policies and joiner/mover/leaver processes
  • Operate and evolve cloud infrastructure on GCP and Azure: access management, resource organization, monitoring and FinOps, tracking consumption, identifying waste and proposing optimizations
  • Apply and strengthen security controls: endpoint hardening, encryption, patch and vulnerability management, access reviews, incident support and evidence for client security assessments
  • Automate recurring operations through scripting and system APIs, replacing manual routines with reliable, documented processes
  • Manage the SaaS portfolio, licenses, renewals, vendors and usage, with cost and adoption data supporting each decision
  • Review current tools, processes and configurations, and propose and implement changes that simplify operations, reduce risk or improve the experience of our teams
  • Act as escalation point for complex technical issues and as a reference for internal IT standards, runbooks and documentation
  • Keep initiatives organized and well documented, with clear timelines and regular communication of progress, risks and trade-offs to technical and non-technical audiences

What We Are Looking For (Required Qualifications)

  • Solid experience in IT infrastructure, corporate IT or endpoint engineering, in environments with distributed teams
  • Hands-on experience managing macOS fleets with Jamf, plus device management experience in Windows environments
  • Practical knowledge of cloud environments (GCP and Azure), including IAM and cost management
  • Strong information security fundamentals applied to day-to-day operations
  • Automation mindset, with scripting experience (Bash, Python or PowerShell) and comfort working with APIs
  • Ability to lead initiatives from start to finish and to suggest improvements to what is already in place
  • Organized and methodical, with good documentation habits and the ability to handle several parallel demands

Preferred Qualifications

  • Experience in consulting or professional services, supporting teams that work under client security requirements
  • Fluent English for daily work with international teams;
  • Familiarity with LGPD, ISO 27001 or similar compliance frameworks
  • Infrastructure-as-code and configuration management experience
  • Experience supporting rapid growth or integration of newly acquired teams
  • Certifications such as Jamf, Google Workspace Administrator, Microsoft or cloud/security credentials

What We Offer

  • Meal (VR)
  • Free Office (work from home or anywhere you want!)
  • Gympass
  • Insurance: Life, Health, and Dental
  • Bi-monthly Meetings (our “Get Together” where we meet to be together, with workshops, lectures, training, and a happy hour!)
  • Woba (you can book coworking spaces anywhere you want!)
  • Semi-annual evaluations (with opportunities for promotion)

Why you should join us

  • Artefact is the place to be: come and build the future of marketing
  • Progress: every day offers new challenges and new opportunities to learn
  • Culture: join the best team you could ever imagine
  • Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

Come join us!

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

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Cloud Engineer

Senior Infrastructure Engineer, AI/ML Systems

Portfolium (Acquired by Instructure)

Удалённоfulltime

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Описание вакансии

At Instructure
, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers.

We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in:

Our AI team is where a lot of that gets built: applying advanced AI to real problems in learning, and turning research into product capabilities that educators and students use every day.

This is a hands-on delivery role. You'll build the deployment path that takes models and AI services from prototype to production, and you'll keep them running once they're there. You'll be one of two engineers who own infrastructure for this team, which means wide scope, real ownership, and direct influence over how we build.

You'll work closely with data scientists, applied AI engineers, and product partners to turn advanced AI ideas into reliable product capabilities used at scale.

What You'll Do

  • Build and operate deployment pipelines for AI services, covering CI/CD, infrastructure-as-code, environment promotion, and rollback
  • Deploy and operate model serving, batch scoring, and orchestration pipelines across development, staging, and production
  • Partner with data scientists and applied AI engineers to take prototypes into production, including system design for net-new services
  • Own production reliability for AI services: monitoring, alerting, debugging, performance, and cost
  • Spot repeated patterns and turn them into reusable templates, so the team can ship its second and third variant of something without rebuilding it

What You'll Need

  • Six or more years in infrastructure, DevOps, platform, or ML engineering, with ownership of systems running in production
  • Deep hands-on experience across a wide range of AWS services, including compute, networking, storage, deployment, and monitoring
  • Infrastructure-as-code experience (Terraform, CDK, or CloudFormation)
  • Experience with containers and modern deployment patterns (Docker required, Kubernetes or ECS/EKS a plus), applied to CI/CD pipelines you've designed and operated for production services
  • Experience with orchestration and workflow tooling (Airflow, Dagster, Argo, Step Functions, or similar)
  • Comfort working through ambiguity and collaborating directly with data scientists and researchers

It Would Be a Bonus If You Had

  • Experience with ML platform components and data pipeline orchestration at scale
  • Experience running LLM-based or retrieval-based systems in production
  • Experience operating specialized data stores, including graph databases
  • Experience building internal tooling, templates, or reference implementations that other engineers adopted

Onsite Collaboration Requirement:
This role requires working onsite on Tuesday and Wednesday, with Thursday strongly encouraged as part of our company’s in-person collaboration model.

Why Join Us

Join us and help shape the future of education by turning cutting-edge AI into reliable product capabilities.

At Instructure, we're on a mission to help educators and students learn together, anytime, anywhere, and however works best. You'll join our research-driven team tackling education's biggest challenges with cutting-edge technology.

We value diversity, creativity, and passion, and invest in our teams through mentorship, hack weeks, internal conferences, and a culture where innovation thrives. Here, you'll have the chance to build the next generation of LMS features that make a real impact on students and teachers, and do it in a collaborative, supportive environment that encourages experimentation and growth.

Get in on all the awesome at Instructure!
We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:

  • Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.
  • Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.
  • Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.
  • Comprehensive wellness programs and mental health support
  • Learning and development resources, including professional development tools and tuition reimbursement, to support your growth
  • The technology and tools you need to do your best work
  • Motivosity employee recognition program
  • A culture rooted in inclusivity, support, and meaningful connection

We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes.

Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate.

All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws.

Any attempt to misrepresent personal or professional information will result in disqualification.

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Cloud Engineer

Senior Infrastructure Engineer, AI/ML Systems

Instructure

Удалённоfulltime

Откликнуться на сайте работодателя

Описание вакансии

At Instructure
, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers.

We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in:

Our AI team is where a lot of that gets built: applying advanced AI to real problems in learning, and turning research into product capabilities that educators and students use every day.

This is a hands-on delivery role. You'll build the deployment path that takes models and AI services from prototype to production, and you'll keep them running once they're there. You'll be one of two engineers who own infrastructure for this team, which means wide scope, real ownership, and direct influence over how we build.

You'll work closely with data scientists, applied AI engineers, and product partners to turn advanced AI ideas into reliable product capabilities used at scale.

What You'll Do

  • Build and operate deployment pipelines for AI services, covering CI/CD, infrastructure-as-code, environment promotion, and rollback
  • Deploy and operate model serving, batch scoring, and orchestration pipelines across development, staging, and production
  • Partner with data scientists and applied AI engineers to take prototypes into production, including system design for net-new services
  • Own production reliability for AI services: monitoring, alerting, debugging, performance, and cost
  • Spot repeated patterns and turn them into reusable templates, so the team can ship its second and third variant of something without rebuilding it

What You'll Need

  • Six or more years in infrastructure, DevOps, platform, or ML engineering, with ownership of systems running in production
  • Deep hands-on experience across a wide range of AWS services, including compute, networking, storage, deployment, and monitoring
  • Infrastructure-as-code experience (Terraform, CDK, or CloudFormation)
  • Experience with containers and modern deployment patterns (Docker required, Kubernetes or ECS/EKS a plus), applied to CI/CD pipelines you've designed and operated for production services
  • Experience with orchestration and workflow tooling (Airflow, Dagster, Argo, Step Functions, or similar)
  • Comfort working through ambiguity and collaborating directly with data scientists and researchers

It Would Be a Bonus If You Had

  • Experience with ML platform components and data pipeline orchestration at scale
  • Experience running LLM-based or retrieval-based systems in production
  • Experience operating specialized data stores, including graph databases
  • Experience building internal tooling, templates, or reference implementations that other engineers adopted

Onsite Collaboration Requirement:
This role requires working onsite on Tuesday and Wednesday, with Thursday strongly encouraged as part of our company’s in-person collaboration model.

Why Join Us

Join us and help shape the future of education by turning cutting-edge AI into reliable product capabilities.

At Instructure, we're on a mission to help educators and students learn together, anytime, anywhere, and however works best. You'll join our research-driven team tackling education's biggest challenges with cutting-edge technology.

We value diversity, creativity, and passion, and invest in our teams through mentorship, hack weeks, internal conferences, and a culture where innovation thrives. Here, you'll have the chance to build the next generation of LMS features that make a real impact on students and teachers, and do it in a collaborative, supportive environment that encourages experimentation and growth.

Get in on all the awesome at Instructure!
We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:

  • Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.
  • Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.
  • Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.
  • Comprehensive wellness programs and mental health support
  • Learning and development resources, including professional development tools and tuition reimbursement, to support your growth
  • The technology and tools you need to do your best work
  • Motivosity employee recognition program
  • A culture rooted in inclusivity, support, and meaningful connection

We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes.

Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate.

All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws.

Any attempt to misrepresent personal or professional information will result in disqualification.

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Cloud Engineer

Senior DevOps Engineer with Golang (f/m/x)

Sii Poland

Удалённо

Откликнуться на сайте работодателя

Описание вакансии

We are looking for a skilled Senior DevOps Engineer to join a project focused on enhancing and modernizing client's cloud platform. This role offers the flexibility of remote work, allowing you to contribute to significant improvements in cloud infrastructure and automation processes. If you are passionate about cloud technologies and automation, this opportunity may be the right fit for you.

Your tasks

  • Building and maintaining platform integrations and automation workflows
  • Developing solutions using Go/Golang to enhance cloud operations
  • Implementing Infrastructure as Code using Terraform
  • Integrating cloud APIs for VMware, Azure, and AWS platforms
  • Creating and managing CI/CD pipelines to streamline deployments
  • Utilizing PowerShell and Bash scripting for automation
  • Managing Kubernetes and container platforms for efficient application deployment
  • Applying configuration management tools like Ansible to maintain system integrity

Requirements

  • Minimum 5 years of experience in DevOps or cloud engineering
  • Hands-on mastery of Go/Golang development
  • Experience with VMware and cloud API integrations
  • Knowledge of AWS or Azure services
  • Advanced level of English

Nice to have

  • Practical experience in Azure and/or AWS platform engineering
  • Familiarity with Ansible or similar configuration management tools
  • Strong command of Terraform and Infrastructure as Code principles
  • Familiarity with CI/CD platforms and automation pipelines
  • Experience with Kubernetes and container orchestration

Job no. JOB-R8PYA

Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws.

Benefits For You

  • Great Place to Work
  • Solid financial situation
  • Contracts with the biggest brands
  • Centre of internal trainings
  • Many experts you can learn from
  • Open and accessible management team
  • Profit sharing
  • Passion Sponsorship program
  • Regular integration events and trips
  • Comfortable and well-equipped offices
  • MySii app
  • Medical care

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

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