Ansible Jobs in Sweden.
All active Ansible roles based in Sweden.
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Customer Engineer EMEA
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are looking for a Customer Engineer to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.
You’re welcome to work remotely from Europe.
Your responsibilities will include:
- Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues.
- Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
- Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
- Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
- Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.
We expect you to have:
- Experience: 5+ years in roles like Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
- Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
- Experience with Kubernetes and Python programming.
- Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
- Customer-centric approach with a proven ability to build trust and foster long-term relationships.
- Strong ability to explain technical concepts to technical and non-technical audiences.
It will be an added bonus if you have:
- Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
- Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
- Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
- Proven experience mentoring technical teams and driving team growth.
- Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Key Customers Solutions Architect EMEA
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius seeks a Key Customers Solutions Architect to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.
You’re welcome to work remotely from Europe.
Your responsibilities will include:
- Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML.
- Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
- Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
- Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
- Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.
We expect you to have:
- Experience: 5 - 10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
- Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
- Experience with Kubernetes and Python programming.
- Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
- Customer-centric approach with a proven ability to build trust and foster long-term relationships.
- Strong ability to explain technical concepts to technical and non-technical audiences.
It will be an added bonus if you have:
- Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
- Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
- Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
- Proven experience mentoring technical teams and driving team growth.
- Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Lead Cloud Solutions Architect
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The team
Customer experience at Nebius GPU AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.
The role
We are seeking a highly skilled and customer-focused leader to join our team as a Cloud Solutions Architect Lead. As a team leader, you will play a pivotal role in customer success across EU region, both managing the efforts of Cloud Solutions Architects team (technical and process excellence, talent development) and building processes alongside your stakeholders. Player-coach mentality and proven track record of managing high expertise teams is a must.
You’re welcome to work from our office in Amsterdam or remotely from any EU country.
Your responsibilities will include:
- Lead and mentor a team of Solutions Architects, fostering a culture of technical excellence, customer empathy, and collaborative execution.
- Oversee and participate in technical engagements including PoCs, workshops, architecture reviews, and trainings.
- Drive consistency and quality across infrastructure design, IaC practices, technical documentation, and customer enablement content.
- Collaborate closely with Product and Development teams, representing customer needs and helping shape the roadmap.
- Guide customers in optimizing ML/AI/HPC pipelines for performance, scalability, and cost-efficiency on Nebius cloud infrastructure.
- Build visibility and ownership culture amongst Solutions Architects.
We expect you to have:
- 5+ years of experience in a technical role (Solutions Architect, DevOps Engineer, ML Engineer, or similar) with a focus on cloud-native systems and distributed computing.
- 2+ years of experience leading or mentoring customer facing engineering teams.
- Deep hands-on experience with Infrastructure as Code (Terraform, Ansible), Kubernetes, and cloud automation.
- Strong communication and stakeholder management skills across both technical and non-technical audiences.
- Passion for developing scalable, reliable cloud architectures and driving customer success.
It will be an added bonus if you have:
- Experience with HPC or ML orchestration frameworks (e.g., Slurm, Kubeflow, Ray).
- Strong coding skills in Python and experience with GPU computing environments for ML/AI workloads.
- Proficient in GPU stack components (e.g., CUDA, cuDNN) and cloud-native patterns for ML training/inference.
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX).
- Understanding of cloud-based ML tools and offerings from NVIDIA, AWS, Azure, or Google Cloud.
- Experience participating in or leading technical contributions to conferences or open-source communities.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Location
Our Solutions Engineer, DoiT Cloud Intelligence, will be an integral part of our Solutions Engineering team in the UK, Ireland, Netherlands, Estonia and Sweden.
Who We Are
DoiT is a global technology company empowering cloud-driven organizations to achieve business growth and innovation through strategic cloud utilization. We blend data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state, from initial planning to full-scale production.
With extensive experience across various cloud environments, we possess deep specializations in Cloud Data Platforms such as Snowflake, Databricks, BigQuery, as well as FinOps experience. As a trusted and award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we proudly support over 4,000 customers worldwide.
Our flagship offerings include DoiT Cloud Intelligence, which uniquely combines advanced technology with human insight, enabling us to solve complex multicloud challenges and drive significant efficiency for our clients.
The DoiT Cloud Intelligence platform offers:
- Provides deep visibility into cloud cost, usage, performance, and optimization opportunities across complex multi-cloud environments, enabling organizations to make data-driven infrastructure decisions.
- Combines automation, analytics, and expert guidance to identify savings opportunities, improve resource efficiency, and continuously optimize cloud investments at scale.
- Designed to power Managed Service Providers (MSPs), Systems Integrators (SIs), and Private Equity (PE) operating teams with portfolio-level insights, benchmarking, and operational tooling to manage multiple cloud environments effectively.
- Goes beyond reporting by delivering prescriptive recommendations and automated workflows that help engineering, finance, and platform teams turn cloud intelligence into measurable operational and financial outcomes.
The Opportunity
As a Solutions Engineer supporting DoiT Cloud Intelligence, you will partner with Account Executives to help enterprises, MSPs, Private Equity firms, and Systems Integrators unlock actionable insights across their cloud environments—driving cost efficiency, operational visibility, and smarter cloud decision-making through DoiT’s next-generation intelligence platform.
Responsibilities
- Technical Qualification & Discovery: Collaborating with the Account Executive to thoroughly understand the prospect’s cloud environment, FinOps maturity, cost management challenges, and operational goals through in-depth technical discovery sessions across engineering, finance, and platform teams.
- Technical Validation & POV Leadership: Owning and driving the technical validation and Proof of Values (POVs) specifically for DoiT Cloud Intelligence. This includes meticulous POV preparation, proactive management, and ensuring successful technical outcomes, demonstrating clear value and alignment with prospect requirements.
- Platform Demonstrations: Developing and delivering compelling and tailored demonstrations of DoiT Cloud Intelligence, showcasing capabilities such as cloud cost visibility, optimization insights, and operational intelligence across complex multi-cloud environments.
- Business Case & ROI Development: Leveraging your understanding of cloud economics and FinOps to develop compelling business cases and ROI analyses that clearly articulate the financial and operational impact of adopting DoiT Cloud Intelligence.
- Partner & Portfolio Motion Support (MSP, PE, SI): Supporting technical engagements with Managed Service Providers (MSPs), Private Equity (PE) firms, and Systems Integrators (SIs) by demonstrating how DoiT Cloud Intelligence enables portfolio-level visibility, operational insights across multiple cloud environments, and scalable optimization strategies.
- DoiT Cloud Intelligence Expertise: Becoming the go-to expert within the company for DoiT Cloud Intelligence, ensuring prospects and partners achieve optimal results and a seamless onboarding experience.
- Technical Win Ownership: Taking full ownership of the technical win for DoiT Cloud Intelligence engagements, guiding prospects through the evaluation process, addressing technical requirements, and building confidence in the platform’s ability to drive cloud efficiency and operational insights.
- Event & Conference Presentations: Representing DoiT Cloud Intelligence at company events, webinars, and industry conferences, delivering engaging presentations and demonstrations that highlight the platform’s cloud intelligence and FinOps capabilities.
- Product Feedback and Customer Advocacy: Translate customer pain points, partner requirements, and feature gaps into structured, technically credible input for product and engineering teams, helping shape the evolution of the Cloud Intelligence platform.
- Accurate, Timely Documentation: Ensure timely entry of data into internal business support systems. Contribute to systems and tools that provide key business information and metrics to highlight performance and effectiveness.
We are seeking an individual who is not only passionate about FinOps and optimization but also thrives on engaging technically with customers, solving their most pressing challenges related to FinOps and cost management. This role offers the exciting opportunity to be at the forefront of innovation within the rapidly evolving FinOps ecosystem.
About you
You are an accomplished Solutions Engineer with experience in a B2B SaaS software environment. You have an established track record of success and enjoy being the model for the ideal Solutions Engineer within a team. You are excited about enabling companies to transform themselves using the public cloud and the service offerings in the cloud (AWS, GCP, Azure, etc.) You hold yourself accountable for the success of any initiative you are involved in. You want to be a part of a high performance sales organization and love winning against the competition. You are comfortable working in a fast paced, growing, collaborative, entrepreneurial environment.
Qualifications
- 7+ years experience at B2B SaaS software company in a pre-Solution Engineering role selling into both enterprise and mid-market accounts.
- An understanding of ITSM eco-systems and prominent solutions within them, such as: Cloud Management tools, DataDog, Chef, Ansible, Puppet, New Relic, ServiceNow, AlertLogic etc.
- Experience working with Amazon Web Services (AWS) or equivalent cloud, and Datacenter experience with knowledge of hypervisors like VMWare.
- Strong data analysis skills and the ability /navigate spreadsheets to identify trends, outliers, correlations and reconciliation needs across large data sets.
- Good practical understanding of cloud-centric architectures.
- Comfort level working in a metric-driven environment, including reporting on and improving business performance against a set of monthly KPIs and metrics.
- The ability to take complex pieces of technology and explain them in a simple and easy to understand way.
- Solid verbal, written, presentation and interpersonal communication skills.
- Intellectual curiosity, great problem solving skills and passion for continuous improvement.
- Previous experience working with/presenting to executive level prospects and customers.
- Experience with modern technical selling best practices and selling in a competitive environment, including implementing new or improved trial, demo, and RFP processes.
- Proven track record of success in a fast growing and scaling business.
Are you a Do’er?
Be your truest self. Work on your terms. Make a difference.
We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.
What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values.
Sounds too good to be true? Check out our Glassdoor Page.
We thought so too, but we’re here and happy we hit that ‘apply’ button.
- Unlimited Vacation
- Flexible Working Options
- Health Insurance
- Parental Leave
- Employee Stock Option Plan
- Home Office Allowance
- Professional Development Stipend
- Peer Recognition Program
Many Do’ers, One Team
DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.
#LI-Remote
Ready to apply?
Apply to DoiT