Skip to content
Cloud Engineer

The week's list

Every role like this one, in one letter

You are reading one posting. There are hundreds like it on the board, and new ones every week. Pick what you want, leave an email, and the list comes to you — no searching, no coming back here.

Counting what came out this past week…

The first letter arrives right away, then one a week. Unsubscribe in one click from any letter — the address goes nowhere else.

Cloud Engineer

Senior Platform Engineer - ARTESCA

Scality

Paris

Apply on the employer's site

Role description

About Scality
Scality solves organisations’ biggest data storage challenges: growth, security, performance, and cost. Designed for end-to-end cyber resilience, only Scality S3 object storage with CORE5 safeguards data at every level of the system, from API to architecture. Its patented MultiScale Architecture enables limitless, independent scalability in all critical dimensions to meet the unpredictable demands of modern workloads. The world’s most discerning companies depend on Scality to accelerate high-performance AI initiatives, optimize cloud deployments, and defend their data with confidence. Recognized as a leader by Gartner, Scality software is reliable, secure, and sustainable. Follow us on LinkedIn . Visit www.scality.com and our blog .

The Job Context
We are looking for engineers who can own, maintain and evolve the platform and tooling that power ARTESCA — Scality’s cyber-resilient S3 storage, allowing our customers to get immutable, zero-trust backup storage that scales from 20TB to petabytes.

You’ll be integrated in a team of ~7 people with varied backgrounds (production operations, pure development, security, product management…) ranging from 3 to 30+ years of experience, all willing and able to share their experience to contribute to your technical and human growth, and to benefit from your experience as well.

You will be taking part in MK8s open source project ( https://github.com/scality/metalk8s ).

Inside the team, we have specific roles and plenty of growing paths for you:

  • Individual contributor: everybody participates in the daily work of the team.
  • Feature lead: to accompany a feature from design to delivery.
  • Technical lead: to be the reference point for a specific perimeter in the product.
  • Architect: to lead feature designs and make sure we stay aligned with the technical strategy of the company.
  • Product owner: to decide priorities and build the roadmap.
  • Team leader: acting as a manager, to be responsible for the work environment in general, from approving holidays to sharing company strategy throughout solving day-to-day issues.

The Technical Stack

  • K8S / Docker / Containerd knowledge / Helm, Operator SDK
  • Go (Golang): Core language for high-performance components and Kubernetes Operators.
  • RPM packaging
  • Salt
  • Prometheus, Grafana, Keycloak, Thanos, Loki, Fluent-bit, Cert-manager, Calico, Multus, KubeVirt
  • RHEL/Rocky
  • Python / Bash
  • PostgreSQL databases
  • Git / GitHub / Github Actions as CI
  • AWS/Scaleway/OVH for virtual labs

Main Mission: What you’ll do

  • Build and maintain the platform behind ARTESCA: the Operating System and Kubernetes control plane, workers, add-ons, and solutions that underpin ARTESCA in its various deployment options (Software Appliance, Hardware Appliance, and ARTESCA+ Veeam all-in-one).
  • Harden security and compliance: CIS benchmarks, SBOM, supply-chain tooling (e.g. Dependency-Track/Anchore), and secret management — directly supporting ARTESCA’s cyber resilience and Cyber Guarantee.
  • Contribute to installer and product workflows: multi-node/HA deployment, state management, pre-checks, and cloud/vendor integrations (e.g. AWS, VmWare) for guided deployment and validated backup vendor integrations (Veeam, Cohesity, Commvault, Rubrik, and others).
  • Own upgrades and lifecycle: Kubernetes versions, Helm charts, operators, and base images so the product stays secure, simple to deploy, and ready for high availability and fast restores.
  • Write and maintain documentation (operations, install, solutions) and tests (integration, upgrade, stability) so ARTESCA stays intuitive, low-touch and recovery-ready at scale.
  • Improve CI/CD: GitHub Actions, devcontainers, diff-based or cost-aware CI, and release automation to release reliably.

AI-Assisted Engineering
We actively use AI tools (including Claude Code and similar) as part of our engineering workflow.

You Will

  • use AI to explore codebases, generate implementations, and debug systems
  • validate and refine AI-generated code in production-grade environments
  • understand AI limitations and contribute to improve used in complex system engineering

We Expect Engineers To

  • understand when AI accelerates work vs when deeper reasoning is required
  • maintain strong ownership of correctness and system behavior

The Desired Profile
In General

  • 5+ years of experience as Sysadmin / DevSecOps

Key Skills
Human

  • Strong ownership and autonomy
  • Friendly, willing to collaborate with other team members
  • Solution oriented, curious and open, willing to learn, problem-solving mindset
  • Able to pursue any technical lead, and to ask when facing a difficult situation
  • Care about both correctness and delivery

Languages

  • French speaker, as the team is based in France
  • Good level of English for day-to-day work to interact with other teams.

Technical

  • Expertise with Linux systems and sysadmin troubleshooting, particularly under RHEL/Rocky.
  • A strong experience in network (VLAN, VIP, DNS, Switch configuration L2/L3, Load Balancing)
  • Good experience in security, compliance and hardening linux (SELinux, CIS, SBOM, supply-chain integrity)
  • DevOps mindset, able to code, understand, and check how this code behaves on production
  • Comfortable working across layers (Infrastructure -> Code -> CI)
  • Experience in PXE, building iso, kickstart, building OVA.
  • Experience in salt or any other orchestration tool like Ansible
  • Experience rolling out distroless or hardened images in a Kubernetes stack (control plane, operators, sidecars, CNI observability stack) and tuning workloads for minimal images (e.g. non-root, read-only filesystems).
  • Python and Bash knowledge
  • CI systems
  • Advanced knowledge of a version control system (Git)

Bonus Skills

  • Development experience (Golang)
  • Installer/product experience (multi-cloud, PXE/kickstart, OVA/AMI), documentation, and PKI/solutions (e.g. CRL, cert-manager) for air-gapped systems.
  • Python expertise
  • RHEL expertise
  • Software development & release expertise
  • Cloud engineering skills (e.g. AWS, Terraform, Pulumi)
  • All other things listed in our technical stack
  • Any other expertise

Life@scality:
We offer careers with an opportunity to bridge international borders, working alongside a highly skilled and international team across Europe and Asia.

  • Hybrid work model: minimum 2 days/week in our Paris office, remainder remote
  • Access to training and professional certification programs to support your career growth
  • Sports and wellness programs, social responsibility initiatives, and generous benefits packages
  • Stock options distribution

Our internal motto is : “
work hard, play hard, eat well and amaze the customer!
”

Follow us on Twitter and LinkedIn. Visit www.scality.com and our blog.

At Scality, we believe diversity drives innovation. We are proud to be an equal opportunity employer, welcoming applicants of all backgrounds, identities, and abilities.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Coming to this page

A resume for this role — and a ticket to the draw

We take the posting apart down to the real requirements and rewrite your resume against it — by asking, not inventing: no line appears without your confirmation. Sign in to get it first, and to enter the draw.

  • A resume for this exact role, not a universal one
  • Answers are kept: edit any one, not the whole conversation
  • All in your account — open it from any device

On the wheel

A discount on mentoring

Winners are drawn at random among entries with a confirmed email. The date and the full rules are on the draw page.

Draw rules

Cloud Engineer

Senior Infrastructure Engineer, AI/ML Systems

Portfolium (Acquired by Instructure)

Remotefulltime

Apply on the employer's site

Role description

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.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Cloud Engineer

Senior Infrastructure Engineer, AI/ML Systems

Instructure

Remotefulltime

Apply on the employer's site

Role description

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.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Cloud Engineer

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

Sii Poland

Remote

Apply on the employer's site

Role description

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

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

That is every opening in this category and country

Senior Platform Engineer - ARTESCAScality

Apply on the employer's site