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AI Factory Customer Engineer

Armada · Netherlands (Remote)

S&M - Sales Netherlands (Remote) Posted May 2, 2026

About the Company

Armada is a full-stack edge infrastructure company delivering compute, connectivity, and sovereign AI/ML to some of the world’s most remote places. Named one of Fast Company's Most Innovative Companies, Armada’s solutions are deployed in over 60 countries globally for organizations ranging from energy to defense.

With over $200 million in funding, Armada is backed by top investors such as Microsoft (M12), Founders Fund, and has strategic partnerships including Starlink, Skydio, and NVIDIA. We are looking for the most brilliant minds in the world to join us.

Working at Armada means taking ownership, driving autonomy, and delivering impact. You’ll tackle challenges that haven’t been solved before and help build something transformative from the ground up. What you do here will not only define your career but help further Armada’s mission to bridge the digital divide for customers around the world.

About the Role

The AI Factory Customer Engineer plays a pivotal role in bridging the gap between customers and Armada's Product and Engineering teams. This role requires deep technical credibility, hands-on infrastructure experience, and strong interpersonal skills to translate complex AI infrastructure and data center architectures into clear, practical solutions for customers.

This role goes beyond traditional pre-sales. The Customer Engineer acts as the technical interface between customers and Armada Engineering, ensuring customer requirements, constraints, and feedback are accurately represented and incorporated into solution design and future platform evolution.

Armada's AI Factory serves a broad and growing set of customers across enterprise, industrial, and infrastructure-heavy verticals. A meaningful and growing subset of strategic targets includes AI-focused datacenter co-location providers and Neocloud operators which represent a primary segment where Armada's modular, liquid-cooled AI Factory is a compelling fit for capacity expansion and rapid deployment. Additionally, renewable energy operators who own or control significant land, power, and stranded energy assets are increasingly positioned to host or operate AI compute infrastructure at scale.

The ideal candidate brings an engineering-first mindset, strong data center and infrastructure expertise, particularly around liquid-cooling, modular data centers, Nvidia architecture, and the energy, curiosity, and positivity required to operate in fast-moving, ambiguous environments. This role is instrumental in driving adoption, trust, and long-term success for Armada's AI Factory offerings.

What You'll Do — Key Responsibilities

Core Technical Customer Engagement

Act as the primary technical interface between customers and Armada's Product and Engineering teams, translating real-world requirements into actionable technical inputs.
Provide expert technical guidance on Armada's AI Factory products, including Modular Data Centers (MDCs), liquid-cooled data center designs, and GPU-based systems from partners such as NVIDIA.
Understand customer workloads deeply both current and future and advise on rack-level design, system architecture, and deployment tradeoffs.
Lead technical demonstrations, proof-of-concepts, and workshops, tailoring content to customer constraints and operational realities.
Cultivate trusted-advisor relationships with customer engineering, infrastructure, IT, OT, and security stakeholders.
Enable field and sales teams by simplifying complex technical concepts into clear, customer-relevant narratives.
Bring a high-ownership, self-starting mindset with the energy and curiosity to fill gaps, solve problems, and drive outcomes end-to-end.

Renewable Energy & Land-and-Power Operator Engagement

Engage renewable energy operators, independent power producers, and upstream oil and gas companies (e.g., Chord Energy, Devon Energy, and similar) as a strategic and growing customer segment for Armada's AI Factory — helping them understand how their existing power generation capacity, land assets, and fiber infrastructure make them natural hosts for modular AI compute deployments.
Articulate the value proposition of Armada's MDC platform to energy sector operators: rapid deployment timelines, self-contained power and cooling architecture, scalable capacity, and the ability to monetize stranded or excess power assets through AI compute hosting.
Develop familiarity with the operational model of energy companies: power generation economics, land and lease structures, regulatory constraints, and the OT/IT boundary — and translate these into informed AI Factory deployment conversations.
Navigate both the OT and IT stakeholder landscape within energy companies, building credibility with infrastructure, operations, and executive teams alike.
Identify and communicate the specific deployment considerations relevant to energy sector environments: remote or off-grid locations, variable power availability, environmental and permitting requirements, and physical security constraints.

AI Datacenter Co-Lo & Neocloud Engagement

Engage AI-focused datacenter co-location operators and Neocloud providers as a secondary but relevant customer segment, positioning Armada's AI Factory as a solution for rapid capacity expansion, modular overflow deployments, and high-density liquid-cooled compute environments.
Develop sufficient familiarity with co-lo and Neocloud operational models — GPU cluster economics, high-density power and cooling requirements, multi-tenant compute, and deployment velocity expectations — to hold credible technical conversations and scope solutions appropriately.
Collaborate with Sales to identify where AI Factory's modular, rapidly deployable infrastructure is most differentiated against co-lo and Neocloud alternatives, and tailor technical positioning accordingly.

Cross-Functional Collaboration & Field Strategy

Collaborate cross-functionally with Sales, Product, and Engineering to support customer engagements, technical scoping, and solution design across all target verticals.
Stay current on industry trends related to AI infrastructure, energy sector AI adoption, data center design, liquid cooling, and modular systems — and share insights internally to shape future product strategy.
Bring positive energy, curiosity, and a collaborative mindset to every engagement — this role values technical excellence and having fun while building something meaningful.

Required Qualifications

Bachelor's degree in Engineering, Computer Science, or a related field (or equivalent hands-on engineering experience). Advanced engineering degrees are a plus.
5+ years of relevant experience in data center engineering, infrastructure engineering, pre-sales, sales engineering, or solution architecture roles.
Years of experience are less important than depth and relevance to data center and infrastructure topics.
Strong understanding of compute, networking, and storage fundamentals, including AI and GPU-based systems (e.g., NVIDIA DGX, HGX, MGX, or similar).
Hands-on experience with data center systems, including:
Mechanical, electrical, and plumbing systems
Cooling architectures, with direct experience or strong familiarity with liquid-cooled data centers and/or modular data centers (MDCs)
Racking and rack-level design considerations
Engineering mindset with curiosity about what lives inside the rack, including openness to evolving beyond current reference designs (e.g., B300 / GB300) as architectures evolve.
Familiarity with cloud platforms, containerization, virtualization, and modern enterprise infrastructure.
Ability to navigate and build credibility with both OT and IT stakeholders — particularly relevant when engaging energy, industrial, and infrastructure-heavy customers.
Strong troubleshooting skills and comfort operating in complex, live customer environments.
Excellent communication skills, with the ability to engage both highly technical engineers and non-technical stakeholders.
Willingness to travel as required.

Demonstrable Expertise — Technical Focus Areas

Primary Focus: Modular & Liquid-Cooled Data Center Architecture

Expertise in modular or micro data center design and deployment.
Experience integrating compute, storage, and networking in space-, power-, and thermally-constrained environments.
Knowledge of liquid cooling architectures, rack-level thermal management, and power density considerations.
Ability to translate customer workload requirements into scalable, production-ready infrastructure designs.

Secondary Exposure (Nice to Have): Energy Sector & Industrial Infrastructure

Familiarity with power generation, distribution, and energy economics — particularly relevant to operators considering AI compute hosting on owned or leased power assets.
Understanding of remote or off-grid infrastructure deployment: power availability constraints, site connectivity, environmental permitting, and physical security considerations.
Awareness of the OT/IT landscape in energy and industrial environments, including SCADA systems, operational reliability requirements, and safety-driven design constraints.
Background in or exposure to oil and gas, upstream energy, independent power production, or renewable energy operations.

Secondary Exposure (Nice to Have): AI & Edge AI Infrastructure

High-level understanding of AI workloads and GPU clusters.
Familiarity with AI frameworks and real-world deployment tradeoffs.
Awareness of edge and distributed AI architectures.

Secondary Exposure (Nice to Have): Data Center Systems

Advanced exposure to electrical systems (PDUs, UPS, subsystems).
Experience with water-based cooling systems, controls, and monitoring.
Understanding of operational reliability, redundancy, and resilience.

Preferred Qualifications

Experience supporting customers in regulated or mission-critical environments, including energy, utilities, oil and gas, or industrial infrastructure.
Background in or direct exposure to renewable energy operators, independent power producers, or upstream oil and gas companies as a vendor, partner, or customer.
Familiarity with how energy and land-and-power operators evaluate infrastructure hosting and co-location decisions, including site selection, power contracting, and capital deployment timelines.
Background in Data Centers, MSPs, Telcos, Utilities, or industrial infrastructure.
Experience working with physical infrastructure products, including logistics and deployment constraints.
Some familiarity with AI datacenter co-location or Neocloud operating models, GPU cluster economics, or high-density compute environments.
Familiarity with structured sales methodologies (MEDDPICC, Challenger, Command of the Message).

You're a Great Fit if You're

A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you

Equal Opportunity Statement

At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.

Unsolicited Resumes and Candidates

Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.

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Customer Engineer, AI Infrastructure

Armada · Netherlands (Remote)

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S&M - Sales Netherlands (Remote) Posted May 2, 2026

About the Company

Armada is a full-stack edge infrastructure company delivering compute, connectivity, and sovereign AI/ML to some of the world’s most remote places. Named one of Fast Company's Most Innovative Companies, Armada’s solutions are deployed in over 60 countries globally for organizations ranging from energy to defense.

With over $200 million in funding, Armada is backed by top investors such as Microsoft (M12), Founders Fund, and has strategic partnerships including Starlink, Skydio, and NVIDIA. We are looking for the most brilliant minds in the world to join us.

Working at Armada means taking ownership, driving autonomy, and delivering impact. You’ll tackle challenges that haven’t been solved before and help build something transformative from the ground up. What you do here will not only define your career but help further Armada’s mission to bridge the digital divide for customers around the world.

About the Role

The Customer Engineer plays a pivotal role in bridging the gap between technical expertise and sales acumen. This position requires a blend of technical knowledge and interpersonal skills to effectively communicate the value of complex technical solutions to potential clients. The Sales Engineer collaborates closely with the sales team to understand customer needs, provide technical demonstrations, and offer tailored solutions that address client requirements. This role is instrumental in driving revenue growth by effectively positioning the company's products or services within the marketplace.

Location. This role will be remote in Norway or the Netherlands.

What You'll Do (Key Responsibilities)

Bring a high-ownership, self-starting mindset with a willingness to fill gaps, solve problems, and support the team. Thrive in ambiguity, step up without waiting for direction, and contribute beyond your role to drive shared success.
Provide expert technical guidance to customers and sales peers regarding Armada’s products and services. Understand client challenges and propose appropriate solutions to meet their needs.
Lead technical demonstrations, proof-of-concepts, and workshops to showcase features, functionalities, and benefits of the company’s offerings. Tailor demonstrations and execute workshops to address specific client challenges.
Collaborate cross-functional to support sales, including customer engagements, technical scoping, and proposal development. Influence and align internal teams to drive solution strategy, resource prioritization, and successful business outcomes.
Cultivate strong relationships with key client stakeholders, including technical decision makers and influencers. Serve as a trusted advisor through thought leadership, understanding their challenges, and providing tailored solutions based on technical business needs.
Stay ahead of industry trends, competitive developments, and emerging technologies. Leverage market awareness to identify opportunities for product innovation and differentiation.
Enhance field team understanding of technical concepts, product features, and selling strategies. Provide ongoing support and enablement of resources to empower sales representatives in their client interactions.

Required Qualifications

Bachelor's degree in computer science, Engineering, or related field; advanced degree is a plus.
5+ years proven experience in pre-sales, sales engineering, or solution architecture role supporting technical products.
Conceptual understanding of networking and connectivity fundamentals, including IP addressing, firewalls, SD-WAN, and satellite or cellular-based communication systems (e.g., Starlink, LTE/5G).
Familiarity with cloud platforms, virtualization or containerization technologies, and modern enterprise infrastructure.
Proficiency in at least one core technical domain such as AI/ML infrastructure, connected devices, or data center systems (see Technical Focus Areas below).
Working knowledge of cloud platforms, modern networking concepts, and containerization or virtualization technologies.
Excellent communication and presentation skills, with the ability to engage and influence both technical and non-technical audiences.
Strong problem-solving mindset with the ability to navigate ambiguity and drive clarity.
Self-starter who thrives in dynamic environments and effectively manages multiple priorities.
Must be willing and able to travel, including potential international travel, as business needs to dictate.

Demonstrable Expertise in Technical Focus Areas

Primary Focus (Current Business Need): Modular Data Center Systems & Rack Solutions Architecture
We are currently prioritizing hiring profiles with strong expertise in modular and micro data center architectures. This includes the ability to design, integrate, and scale compute, storage, and networking systems within modular environments. Candidates should have solid systems integration experience, exposure to hybrid and distributed computing platforms (e.g., Azure Stack Edge), and familiarity with virtualization and containerization technologies such as VMware, Docker, and Kubernetes. The role requires translating customer requirements into reliable, scalable, and production-ready infrastructure solutions.

Secondary Exposure (Nice to Have): AI & Edge AI Solution Architecture
High-level understanding of AI and Edge AI solution design, including defining inputs (e.g., cameras, sensors), basic data quality considerations, and estimating compute requirements. Familiarity with AI frameworks (TensorFlow, PyTorch, ONNX) and awareness of real-world AI deployment considerations is beneficial but not the primary hiring focus.

Secondary Exposure (Nice to Have): Asset Management Systems & Integration Architecture
Basic experience or familiarity with connected device ecosystems, remote asset deployments, and telemetry integration. Exposure to IoT sensors, camera systems, and connectivity options such as cellular/5G, Starlink, or SD-WAN, along with common integration methods (REST APIs, WebSockets, SNMP), is a plus.

Preferred Qualifications

Prior experience with MEDDPICC, Challenger Sale, Command of the Message etc.; and managing a sales process.
Prior experience with MSPs, Telcos, Oil & Gas, or Utilities.
Experience working with or selling physical products, including familiarity with logistics, supply chain operations, import/export processes, and customs requirements

#LI-Remote

You're a Great Fit if You're

A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you

Equal Opportunity Statement

At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.

Unsolicited Resumes and Candidates

Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.

Ready to apply?

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Senior Product Designer - Nebius Console

Nebius · Amsterdam, Netherlands; Germany; London, United Kingdom; Prague, Czech Republic

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Technology Product Amsterdam London Berlin Prague Posted May 1, 2026

Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

The role

We are seeking an experienced Product Designer to join our team. You’ll have the opportunity to work from our offices in Amsterdam, Berlin, London or Prague with a hybrid work schedule.

Responsibilities

Own the end-to-end design of services and features within the Nebius Console, from discovery to delivery
Design clear, scalable interfaces for complex cloud and AI infrastructure products
Translate business goals, technical constraints, and user needs into coherent user flows and interaction models
Work closely with Product Managers, Engineers, and other stakeholders throughout the product lifecycle
Clearly present design solutions and rationale to cross-functional teams
Manage design work from early hypotheses and exploration through prototyping, implementation, and iteration
Contribute to the development and maintenance of the design system, ensuring consistency and quality across the product

Required qualifications

Strong product thinking and the ability to approach design as a set of connected user scenarios
Ability to balance usability, consistency, and innovation in complex systems
Solid understanding of the product design process, including discovery, validation, and delivery
High attention to detail and structured, systematic work in Figma
Experience collaborating with other designers in a shared product and design system environment
At least 5 years of experience as a Product Designer on digital products
Confident English communication skills, sufficient for day-to-day collaboration with international teams
Strong proficiency in Figma, including creating complex and interactive prototypes

Nice to have

Experience designing responsive and adaptive functional interfaces
Familiarity with UX research and usability testing methods
Experience with cloud consoles, dashboards, or other high-complexity web applications
Ability to communicate effectively with engineers using HTML, CSS, and JavaScript terminology

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training.

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East.

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners.

What we offer:

Competitive salary and comprehensive benefits package.
Opportunities for professional growth within Nebius.
Flexible working arrangements.
A dynamic and collaborative work environment that values initiative and innovation.

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

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.

Ready to apply?

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ML Engineer - Life Sciences (Early Talent)

Nebius · Amsterdam, Netherlands

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Product & Infrastructure Amsterdam Posted May 1, 2026

Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

Summary:

Location: Amsterdam
Duration: 3-6 months
Start date: June 2026
Compensation: Paid
Eligibility: Current University student (Computer Science or related field), Recent Graduate or Early Career specialist
Work authorization: Permitted to work in the job’s location

About the role

Biological AI models (protein folding, protein design, and large foundation models) are powerful but heavy and expensive to run. This project focuses on making them faster and more efficient at inference time without significantly hurting biological quality.

You will work on profiling bottlenecks, applying model compression and architectural optimizations, and building efficient inference pipelines. The goal is to make these models practical for real-world research and production use.

Your responsibilities will include:

Profile inference bottlenecks in selected biological models
Implement and test optimization techniques (quantization, pruning, distillation)
Explore efficient attention and architecture-level improvements
Build and benchmark optimized inference pipelines
Evaluate speed, memory, and accuracy trade-offs
Write clean, well-documented experimental code
Share results and practical deployment recommendations

We expect you to have:

Enrollment in or completion of a degree in computer science, AI, or a related field
Strong knowledge of computer science and machine learning fundamentals
Experience with Python and familiarity with deep learning frameworks
Ability to write clean, efficient code
Strong problem-solving skills and a willingness to learn quickly
Interest in life sciences

Nice to have:

Familiarity with large language models and transformer architectures
Experience profiling GPU workloads and optimizing deep learning systems
Experience with model compression techniques (quantization, pruning, distillation)
Experience working with large-scale models or distributed inference
Contributions to open-source ML projects

What we offer:

Competitive salary and comprehensive benefits package
Mentorship from experienced AI, ML, and cloud infrastructure professionals
Hands-on experience with real customer workloads and production systems
Opportunities for professional growth within Nebius
A dynamic and collaborative work environment that values initiative and innovation
Opportunity to be considered for a full-time role after the Early Talent Program

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

What we offer:

Competitive salary and comprehensive benefits package.
Opportunities for professional growth within Nebius.
Flexible working arrangements.
A dynamic and collaborative work environment that values initiative and innovation.

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

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.

Ready to apply?

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Senior Frontend Developer

Nebius · Amsterdam, Netherlands

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Hardware Infrastructure Amsterdam Posted May 1, 2026

Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

The role

We are looking for a Senior Frontend Developer to design and implement internal user interfaces using React and TypeScript. These interfaces support automation workflows that enable teams to efficiently manage hardware infrastructure of our company - tracking assets, orchestrating data center deployments, provisioning and configuring servers, installing operating systems and drivers, and resolving issues across distributed environments. You will contribute to the full product lifecycle - from concept and UX mockups to production deployment in container-based environments (Docker, k8s).

Your responsibilities:

Build and maintain a group of applications written in React and TypeScript.
Design and refine UI/UX flows to improve usability and visual consistency.
Translate product requirements and UX concepts into interactive interfaces.
Contribute to continuous improvement of the frontend architecture and developer experience.

We expect you to have:

5 years of experience with software development in one or more programming languages.
Strong proficiency in React, TypeScript, HTML, and CSS.
Experience with state management.
Familiarity with UX design principles.

It would be nice if you have:

Exposure to full-stack and DevOps concepts (Python, Docker, Linux, modern networks).
Understanding of reactive programming principles.

We conduct coding interviews as part of the process.

What we offer:

Competitive salary and comprehensive benefits package.
Opportunities for professional growth within Nebius.
Flexible working arrangements.
A dynamic and collaborative work environment that values initiative and innovation.

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

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.

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Software Engineer I

Diligent Corporation · Netherlands

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Software Development Netherlands Posted Apr 20, 2026

Position Overview:

As a Software Engineer I, you will contribute to building and improving our SaaS platform using a modern stack centered around Laravel (PHP). You will help develop secure, scalable, and maintainable backend services and APIs that directly impact our customers. In this role, you will not only build new features, but also play an active role in maintaining product quality by investigating issues, fixing bugs, and supporting the resolution of customer-reported problems. This gives you direct exposure to real-world usage of the product and helps you develop strong debugging and problem-solving skills. You’ll be part of architectural discussions, actively contribute to sprints, and gain exposure to the full product lifecycle. This role is perfect for someone early in their engineering journey who is eager to grow, experiment, and make a meaningful impact from day one, including exploring how AI tools can enhance development workflows and outcomes.

Key Responsibilities:

Contribute to the development of features and APIs within our Laravel applications
Take ownership of smaller user stories with guidance from more senior engineers
Investigate, reproduce, and fix bugs reported by users or internal teams
Support the customer support team by helping analyse and resolve technical issues
Monitor and improve application stability and reliability
Follow engineering best practices (code quality, testing, CI/CD)
Use AI tools (e.g., GitHub Copilot, ChatGPT) to support coding, debugging, and learning while critically validating outputs
Build an understanding of how your work impacts system behaviour and the end-user experience

Required Experience/Skills:

0–3 years of hands-on software development in an agile environment
Experience with PHP, TALL stack (Tailwind CSS, Alpine.js, Laravel, Livewire) is a must
Understanding of MySQL / MariaDB (relational databases), AWS cloud infrastructure, REST APIs and system integrations
Familiarity with Git and version control workflows
Exposure to front-end technologies (e.g., Vue, React, or Blade)
Basic knowledge of debugging techniques and willingness to work on bug fixing
Experience with Docker or containerised environments is a plus

AI & Growth Mindset

Familiar with AI concepts such as large language models and generative AI
Awareness of tools like ChatGPT or GitHub Copilot and their general use
Understands that AI-generated outputs must be validated and are not always correct
Willing to use AI tools to support debugging, issue analysis, and learning new concepts
Aware of privacy and security considerations when using AI tools (e.g., not sharing sensitive data)

Your work environment:

This is an on-site / hybrid role based in Amsterdam. Candidates must already be residing in the Netherlands
A challenging fast-growing SaaS company where you can truly make an impact, while earning a good salary
An inspiring office on the 13th floor of The Social Hub in Amsterdam (including gym, restaurant, and vibrant community events)

About Us

Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.

At Diligent, we're building the future with people who think boldly and move fast. Whether you're designing systems that leverage large language models or part of a team reimaging workflows with AI, you'll help us unlock entirely new ways of working and thinking. Curiosity is in our DNA, we look for individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity. The future belongs to those who keep learning, and we are building it together. At Diligent, you’re not just building the future - you’re an agent of positive change, joining a global community on a mission to make an impact.

Learn more at diligent.com or follow us on LinkedIn and Facebook

What Diligent Offers You

Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.

Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.

Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney.  To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.

_{We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.}

_{To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.}

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Senior Software Engineer - Fullstack

Databricks · Amsterdam, Netherlands

Apply now

Engineering - Pipeline Amsterdam, Netherlands Posted Apr 9, 2026

P-1321

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Unlike traditional enterprise software, we design and build modern SaaS products that bring delight to all of the stakeholders: decision makers, admins, and end users. As a full stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.

Below are some example teams you can join:

SQL Analytics Console: SQL Analytics is a new product that provides Databricks customers with a first-class experience for performing Business Intelligence (BI) and running SQL workloads directly on the data lake. Our team builds the "console" for SQL Analytics, where users configure, manage and monitor their SQL usage.

Jobs and Workflows: This team powers all asynchronous customer workloads for Databricks which is the majority of Databricks usage. As this usage has rapidly increased - we've rearchitected the system for increased stability and scalability. We are also building exciting new features for more advanced workflows and customer observability. This team has a mix of frontend, backend, and reliability engineering skills & projects.

Developer Ecosystem: The developer ecosystem team focuses on the development experience and best practices using tools outside of the workspace. We own and govern the core developer ecosystem open-source components: the SDK, the CLI, and Terraform.

Apps Developer Experience - This is the team that makes developing Apps on Databricks delightful and easy. We have built an SDK and services for app developers - AppKit. Our Codegen sub-team builds tools that enable agents to generate Apps that work first time. We're currently. working on an MCP server for Cursor/Claude Code and are working on Skills.

What we look for:

BS/MS/PhD in Computer Science, or a related field
5+ years of experience with HTML, CSS, and JavaScript
Passion for user experience and design and a deep understanding of front-end architecture
Comfortable working towards a multi-year vision with incremental deliverables
Experience with modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember)
Strong familiarity with server-side web technologies (eg: Nodejs, Java, Python, Scala, C#, C++,Go, JVM)
Good knowledge of SQL
Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes
Experience in architecting, developing, deploying, and operating large scale distributed systems

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Ready to apply?

Apply to Databricks

Databricks

View all jobs →

Software Engineer - Fullstack

Databricks · Amsterdam, Netherlands

Apply now

Engineering - Pipeline Amsterdam, Netherlands Posted Apr 9, 2026

P-1320

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Unlike traditional enterprise software, we design and build modern SaaS products that bring delight to all of the stakeholders: decision makers, admins, and end users. As a full stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.

Below are some example teams you can join:

SQL Analytics Console: SQL Analytics is a new product that provides Databricks customers with a first-class experience for performing Business Intelligence (BI) and running SQL workloads directly on the data lake. Our team builds the "console" for SQL Analytics, where users configure, manage and monitor their SQL usage.

Jobs and Workflows: This team powers all asynchronous customer workloads for Databricks which is the majority of Databricks usage. As this usage has rapidly increased - we've rearchitected the system for increased stability and scalability. We are also building exciting new features for more advanced workflows and customer observability. This team has a mix of frontend, backend, and reliability engineering skills & projects.

Developer Ecosystem: The developer ecosystem team focuses on the development experience and best practices using tools outside of the workspace. We own and govern the core developer ecosystem open-source components: the SDK, the CLI, and Terraform.

Apps Developer Experience - This is the team that makes developing Apps on Databricks delightful and easy. We have built an SDK and services for app developers - AppKit. Our Codegen sub-team builds tools that enable agents to generate Apps that work first time. We're currently. working on an MCP server for Cursor/Claude Code and are working on Skills.

What we look for:

BS/MS/PhD in Computer Science, or a related field
2+ years of experience with HTML, CSS, and JavaScript
Passion for user experience and design and a deep understanding of front-end architecture
Comfortable working towards a multi-year vision with incremental deliverables
Experience with modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember)
Strong familiarity with server-side web technologies (eg: Nodejs, Java, Python, Scala, C#, C++,Go, JVM)
Good knowledge of SQL
Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes
Experience in architecting, developing, deploying, and operating large scale distributed systems

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Ready to apply?

Apply to Databricks

Databricks

View all jobs →

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