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Cloud Engineer

Architecte Cloud AWS – HPC, IA & Systèmes distribués H/F

Aneo

Boulogne-Billancourt

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Описание вакансии

Fondé en 2002, ANEO est un cabinet de conseil tech-first qui accompagne des entreprises du CAC 40, des ETI et des start-up dans leurs transformations technologiques et organisationnelles.

Depuis plus de vingt ans, nous développons une expertise à la croisée du software, du calcul scientifique, du HPC, du cloud et des systèmes distribués. Nous accompagnons nos clients dans la conception d’architectures complexes, la modernisation de leurs environnements applicatifs et la transformation de leurs infrastructures de calcul.

Notre partenariat avancé avec AWS nous permet d’intervenir sur des programmes critiques de migration et de modernisation, ainsi que sur des workloads HPC et IA, notamment dans la banque, l’industrie et la biotech.

Cette expertise historique se prolonge avec
ArmoniK
, notre orchestrateur open source de calcul distribué, conçu pour exécuter des workloads intensifs et créer un continuum de calcul entre environnements on-premise et multi-cloud.

Votre rôle

Vous rejoindrez notre cercle Cloud et interviendrez sur des sujets mêlant architecture applicative, software, cloud, infrastructure, HPC, IA et systèmes distribués.

Votre activité se répartira de la manière suivante :

  • Environ deux tiers du temps
    consacrés à l’architecture et au delivery : compréhension des enjeux, cadrage, conception et arbitrages techniques.
  • Environ un tiers du temps
    consacré à la coanimation de nos partenariats technologiques, notamment avec AWS et NVIDIA, à l’avant-vente, au développement de nos offres et au management ou à l’accompagnement de consultants.

Selon les projets, vous interviendrez au sein d’équipes constituées ou porterez certains sujets en autonomie, avec l’appui des experts et des communautés ANEO.

Vos missions

  • Comprendre les enjeux métier, applicatifs et techniques.
  • Concevoir et faire évoluer des architectures complexes et critiques.
  • Définir des trajectoires de migration et de modernisation.
  • Arbitrer entre performance, résilience, sécurité, coûts et maintenabilité.
  • Concevoir des architectures adaptées à des workloads cloud, HPC, IA ou distribués.
  • Réaliser des audits et formuler des recommandations actionnables.
  • Dialoguer avec des CEO, CIO, CTO, équipes métier, chercheurs et experts techniques.
  • Contribuer au cadrage, à l’avant-vente et à la relation avec nos partenaires.
  • Accompagner les équipes et transmettre votre expertise.

Exemples de projets

  • Challenger l’architecture applicative, cloud et infrastructure d’un système critique.
  • Moderniser une plateforme on-premise en vue de sa migration vers AWS.
  • Concevoir une architecture applicative ou infrastructure capable d’absorber des volumes de calcul importants et de monter à plusieurs milliers de cœurs.
  • Optimiser des workloads HPC ou IA en matière de performance, de scalabilité et de maîtrise des coûts, dans une logique FinOps.
  • Pour en savoir plus

Le profil recherché

Vous avez déjà porté des choix d’architecture structurants dans des environnements complexes.

Vous disposez :

  • d’une vision transverse des systèmes, de l’applicatif à l’infrastructure ;
  • d’une expertise forte dans au moins deux ou trois domaines parmi : software, architecture applicative, cloud, infrastructure, HPC, sécurité ou systèmes distribués ;
  • d’une capacité à comprendre les workloads, leurs usages et leurs contraintes ;
  • d’une posture de consultant : écoute, reformulation, challenge, conviction et autonomie ;
  • d’une capacité à évoluer aussi bien dans de grands programmes que dans des environnements plus agiles ou moins cadrés ;
  • d’un niveau d’anglais professionnel B2 minimum.

Vous êtes curieux, rigoureux et à l’aise avec des interlocuteurs variés, du développeur au dirigeant.

Ce que vous pourrez développer chez ANEO

Nous pouvons vous accompagner sur :

  • AWS ;
  • HPC et calcul distribué ;
  • cloud native et serverless ;
  • IA et machine learning ;
  • Terraform, Kubernetes et pratiques DevOps ;
  • ArmoniK ;
  • cloud souverain et multi-cloud ;
  • avant-vente et animation de partenariats technologiques.

Notre logique de recrutement est simple :
plusieurs expertises solides, une vraie hauteur de vue, une forte capacité relationnelle et la capacité d’apprendre rapidement.

Pourquoi rejoindre ANEO ?

  • Des missions techniquement exigeantes et à fort impact.
  • Une collaboration directe avec les équipes AWS et nos partenaires technologiques.
  • Une exposition à des sujets rares : HPC, IA, systèmes distribués et cloud souverain.
  • La possibilité de contribuer à ArmoniK et à des projets open source.
  • Plus de 4 % de la masse salariale consacrée à la formation.
  • Une organisation plate fondée sur l’autonomie et la responsabilité.
  • Des communautés d’expertise actives et animées par leurs membres.
  • Jusqu’à trois jours de télétravail par semaine.

Informations pratiques

  • Contrat :
    CDI
  • Localisation :
    Boulogne-Billancourt
  • Télétravail :
    jusqu’à trois jours par semaine
  • Rémunération :
    75 000 € à 110 000 € brut annuel selon l’expérience, le niveau d’expertise et la capacité à porter des sujets d’architecture, d’avant-vente et de leadership technique
  • Démarrage :
    dès que possible

Parcours de recrutement

  • Préqualification avec l’équipe recrutement
  • Entretien business et posture de conseil
  • Entretien d’architecture
  • Entretien de projection avec la direction générale

Chez ANEO, chacun et chacune a sa place. Nous recrutons dans le respect de l’égalité des chances.

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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Мы разбираем объявление до настоящих требований и переписываем ваше резюме под него — вопросами, а не выдумкой: ни одна строка не появится без вашего подтверждения. Войдите, чтобы получить это первым, — и попасть в розыгрыш.

  • Резюме под конкретную вакансию, а не «универсальное»
  • Ответы хранятся: правится любой, а не весь разговор заново
  • Всё в аккаунте — открывается с любого устройства

Разыгрываем

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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.

Это все вакансии по этой категории в этой стране

Architecte Cloud AWS – HPC, IA & Systèmes distribués H/FAneo

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Architecte Cloud AWS – HPC, IA & Systèmes distribués H/F — Aneo | mentors.coach