Cloud Engineer Jobs in Netherlands.
All active Cloud Engineer roles based in Netherlands.
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Senior Solutions Architect
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: Netherlands, United kingdom, Germany, Portugal, France, Sweden
About Solutions Engineering at Cloudflare
The Pre-Sales Solution Engineering organization owns the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solutions Engineering is made up of individuals from a wide range of backgrounds - from Financial Consulting to Product Management, Customer Support to Software Engineering, and we are serious about building a diverse, experienced and curious team.
What you'll do as a Solutions Architect
The Solutions Architect is a senior technical leadership role. You are a customer facing hands-on technologist with credibility built on domain expertise across Cloudflare portfolio. You should have solid experience in influencing enterprise architecture design across various senior buyer personas both at customers and partner organizations. Your role will be to convince these decision makers of the long term value of thinking of Cloudflare as a strategic technology partner.
You will work closely with every team at Cloudflare, from Sales and Product, through to Engineering and Customer Support. Your goal of customer success should drive you through the entire organization as you seek out and create scalable solutions for your customer’s needs.
You will work as a part of a highly visible structured pursuit team attached to designated strategic accounts, working to understand their unique business challenges and priorities with a goal of defining short and long term solution architecture with Cloudflare as a centerpiece. An equally important component of this role is the expectation that you scale your expertise and knowledge across the wider Pre Sales Solution Engineering organization.
Specifically, we are looking for you to:
- Build and maintain the long term technical relationship of key accounts, ensuring the successful design, proof and adoption of Cloudflare as a part of the customers critical infrastructure.
- Identify and drive strategic conversations with key stakeholders with the purpose of increasing our reputation and authority within the business, and further establishing our footprint within the customers landscape.
- Be the voice of the customer, engaging and influencing Product Management and Product Roadmap to serve their needs.
- Demonstrate your expertise of Cloudflare within your field through the creation of professional content, including white papers, reference architectures, blog posts.
- Represent and Evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity and Industry focused events with thought leadership and expertise.
- Apply in-depth vertical knowledge or domain expertise. Advise on best practices.
Desirable skills, knowledge and experience
- 7+ years of experience in similar role or experience in a technical leadership role
- Previous experience as a solution architect, consultant or technical marketing engineer building, architecting or deploying security solutions
- Good understanding of AI, security challenges and its applicability to today’s enterprise landscape
- Proven track record using it to help drive revenue.
- Strong knowledge of Security Architecture, Design and Operations
- Working knowledge of the broader threat landscape and the ability to distill technology trends, and explain complex behaviors in simple terms
- Proven experience working with customers and partners in successful design and deployment of solutions
- Ability to juggle and successfully drive projects with customers, prospects, and partners.
- Experience with cloud computing solutions implementations including Microsoft 365, Azure, Google, AWS.
- Experience with Application, Security, Performance and Reliability products such as WAF, Bot Management, DDOS, Firewall, DNS and CDN.
- Knowledge of competitive market around CDN providers, Web application Firewall, Remote access solutions, Next generation Firewalls, DDOS mitigations solutions, SD-WAN solutions , Secure Gateway solutions, SSE/SASE
- Proven hands-on experience with information security solutions such as Web Proxy, NGFW, Security Gateways, SIEMs, SAML/SSO, DLP, Data security and protection technologies such as HSM, Tokenization & encryption gateways.
- Experience working with Identity Providers such as Entra AD, Okta, Ping, OneLogin, etc.
- Knowledge of web application programming XML, REST/SOAP API’s, REST, JSON,
- Experience in cloud computing based services architecture, technical design and implementations including Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) delivery models.
- Knowledge of scripting languages such as Python and IAC products like Terraform
- Knowledge of security and cryptography.
- Knowledge of cloud/virtualization technologies and containerization
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Ready to apply?
Apply to Cloudflare
Senior Solutions Engineer, Russian Speaker
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: London, Amsterdam, Lisbon, Munich, Paris
What you’ll do:
The Pre-Sales Solutions Engineering organization is responsible for the technical sale of the Cloudflare solutions portfolio, ensuring maximal business value, fit-for-purpose solution design, and efficient adoption roadmaps for our customers.
As a Solutions Engineer, you are the technical customer advocate within Cloudflare. You will aid your customers and work closely with every team at Cloudflare, from Sales and Product to Engineering and Customer Support. Your goal of customer success should drive you through the entire organization as you seek out and create scalable solutions for your customer’s needs.
Technology moves at lightning speed; a broad knowledge of Internet performance and security technologies is required, and the curiosity to maintain and develop new knowledge is essential to keeping up with the high rate of product innovation at Cloudflare.
Examples Of Desirable Skills, Knowledge And Experience:
Ultimately, you are passionate about technology and have the ability to explain complex technical concepts—like how an edge network reduces "lag" or how WAF rules protect a player's wallet—in easy-to-understand terms. You are naturally curious, and an avid builder who is not afraid to get your hands dirty.
You appreciate the diversity of challenges in working with customers, from managing "micro-burst" traffic spikes to navigating regulatory requirements. You will find a collaborative environment where everyone brings different strengths and jumps in to help each other obtain the technical win so that customers choose Cloudflare to protect and accelerate their platforms.
Additional experience might include:
- Language: fluent in Polish and English
- 5-to-10 years of experience in the IT industry.
- Vertical Expertise: Understanding the cloud architectures, with main focus on security layers, such as CDN, WAF, SASE and Anti-DDoS..
- Technical "How the Internet Works": * Deep understanding of TCP vs. UDP, why it matters and why it's so critical from security point of view;
- Solid understanding of DDoS mitigation strategies at Layers 3, 4, and 7 to prevent services disruption.
Pre-Sales Excellence: Previous experience in a technical consulting or SE role, with a track record of demonstrating ROI to CTOs and Infrastructure Leads.
Project Management: Ability to manage complex Proofs of Concept (PoCs) and prioritize between competing demands in a fast-paced environment.- Communication: Excellent presentation skills with a strong command of business English.
- Market Knowledge: Familiarity with the competitive landscape for CDN, Zero-Trust, and SASE providers.
- Travel: Ability to travel to customer sites, industry events and internal summits.
Bonus!
- Scripting Skills: Demonstrated experience with JavaScript, Python, or Rust, and a desire to help customers build the next generation of serverless features on Cloudflare Workers.
- Security Trends: Exposure to emerging trends such as Zero Trust for securing internal employees traffic or remote-work environments.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Ready to apply?
Apply to Cloudflare
Location:. This role is based remotely as a full-time employee in the UK, Ireland, Estonia, Netherlands, Sweden, Spain, Israel and North America (eastern or central time zones). We are also open to contractors in East Europe and Portugal.
Who We Are
DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production.
Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.
With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.
About DoiT's PerfectScale Platform
DoiT offers PerfectScale, a pioneering Kubernetes optimization and management solution that empowers DevOps, SRE, and Platform Engineering teams to optimize cloud performance while minimizing costs. We combine advanced AI technology with SME-human expertise to help organizations achieve peak Kubernetes efficiency.
The solution delivers a seamless onboarding experience, an intuitive UI, and a powerful autonomous optimization engine that ensures Kubernetes environments run efficiently with minimal human intervention.
The Opportunity
As a Product Manager, you will be responsible for ensuring clear, well-defined requirements that enable the engineering team to execute efficiently. You will work closely with R&D to bridge the gap between product vision and development, ensuring sprint readiness and alignment with business objectives. This role requires proactive engagement with stakeholders to remove roadblocks, refine priorities, and drive a structured approach to product execution, preventing delays and ensuring timely delivery of impactful features.
If you want to be on the cutting edge of innovation in B2B SaaS, this is a role for you.
Responsibilities
- Write clear, well-defined requirements, user stories, and flows that enable the engineering team to execute them efficiently and effectively.
- Work closely with engineering teams to define, prioritize, and deliver impactful features.
- Collaborate with internal and external stakeholders to refine product-market fit and enhance user experience.
- Analyze customer feedback, usage data, and industry trends to drive continuous improvement.
- Define success metrics, track adoption, and iterate based on performance insights.
- Partner with marketing and sales to craft compelling go-to-market strategies.
- Act as the customer’s advocate internally, working with cross-functional teams to drive successful implementation, adoption, growth, and renewals.
- Influence and contribute to PerfectScale’s integration within DoiT’s ecosystem.
Qualifications
- 3+ years of product management experience in Kubernetes.
- Strong technical knowledge of Kubernetes, cloud-native architectures, and containerized environments.
- Experience collaborating with engineering teams in an Agile development environment.
- Ability to analyze data, extract insights, and drive data-informed decisions.
- Excellent communication skills, with the ability to engage both technical and business stakeholders.
- Experience in post-acquisition integration or scaling a product within a larger ecosystem is a plus.
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.
Full-time employee benefits:
- Unlimited PTO
- 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
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
Senior Software Engineer – Developer Experience (Platform)
At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car, a Woolly Mammoth’s Skeleton, Lady Gaga's Jumpsuit or Usain Bolt’s running shoe, we encounter exceptional objects every day.
We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts.
Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us.
- Taking ownership and driving impact
- Being open to change and feedback
- Being passionate about our mission and our customers.
About the role and team
At Catawiki, we’re building an internal developer platform that enables our engineering teams to move fast without compromising on reliability or security.
As a Senior Software Engineer in our Developer Experience (DevEx) Platform team, you will design and build the tooling, systems, and abstractions that power how engineers develop, deploy, and operate services at scale.
This is not a traditional DevOps or SRE role, it’s a software engineering role focused on improving developer productivity and platform capabilities.
You’ll work at the intersection of software engineering and infrastructure, helping product teams ship faster by removing friction and building scalable internal platforms.
What You’ll Do
Your work as a Senior Platfrom Engineer (DevEX) will shape how Catawiki teams deliver value to customers, fostering speed, reliability, and security in everything they build.
Build a Self-Service Developer Platform: Design and maintain self-service platforms that abstract complexity, empowering teams with the tools they need to seamlessly deploy, monitor, and optimize their applications.
Orchestrate Cloud-Native Infrastructure: Manage our Kubernetes clusters and other cloud resources, ensuring performance, scalability, and cost efficiency with FinOps.
Boost Developer Productivity: Build and enhance CI/CD pipelines, GitOps workflows, and reusable templates to accelerate development and deployment cycles.
Drive Reliability and Scalability: Implement best practices for fault tolerance, disaster recovery, and scaling, ensuring that applications run smoothly and efficiently under all conditions.
Monitor and Improve Platform Operations: Use and enhance observability stack to ensure platform health and resolve incidents proactively.
Collaborate and Innovate: Collaborate with product teams to understand their needs and build solutions that empower them, while evangelising cloud-native best practices within Catawiki.
Who You Are
You measure everything, implement gradual changes, and accept failure as normal. Being allergic to toil, you leverage tooling and automation. You enjoy sharing knowledge and helping others. Next to this you are:|
Cloud-Native Adept: Proficient in Kubernetes, cloud platforms (e.g. GCP, AWS, Azure), and container orchestration with a minimum of 2 years of production experience.
Automation Advocate: Skilled in automating workflows, CI/CD pipelines, and infrastructure as code (e.g., Terraform, Ansible).
Observability Believer: You are experienced in using and maintaining observability stacks (e.g. Prometheus, Grafana, ELK, OpenTelemetry) to ensure platform reliability, performance, as well as insight-driven improvements.
Ownership is your middle name: You have a strong sense of ownership for platform performance, proactively addressing issues and striving for long-term scalability and resilience.
Collaborative Thinker: A team player who works effectively with developers and cross-functional teams to align goals and deliver impactful yet simple solutions.
Adaptable Learner: While it’s practically impossible to keep up with all developments in the cloud-native ecosystem, you strive to continuously evolve with new tools, technologies, and best practices.
Why You'll Love Working with Us
- Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business.
- Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression.
- A culture of connection defines us. We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work.
- Celebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion”. We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location.
Our Offices and Way of Working
Our vibrant offices in Amsterdam, Paris and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based.
Interested?
Apply with an English CV and Cover Letter. By applying, you agree to Catawiki’s Applicant Privacy Policy. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles.
Ready to apply?
Apply to Catawiki
Partner Solutions Engineer
Our Purpose
At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.
About Us
SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.
Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.
What Are We Looking For?
We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Channel Solutions Engineer, you’ll be the technical force driving our partner ecosystem in the Benelux and Nordics. You’ll empower partners through hands-on mentorship, workshops, and events, translating complex endpoint technology into real business impact. By combining technical enablement with strategic relationship management, you’ll help partners build and launch SentinelOne-based solutions, accelerating our mission to secure the digital frontier.
What will you do?
- Primary responsibilities can be broken into three main facets within the partner community.
- Relationship management
- Technical enablement
- Tech Marketing/sales activities
- Visit local/regional partner offices with regular cadence
- Attend and coordinate offsite social events with partners
- Attend internal sales and sales engineering calls
- Facilitate meetings with SentinelOne field and SMB sales and sales engineers and partner resources
- Support sales cycle of SentinelOne products to new partner prospects through demos, POCs, etc.
- Introduce partner sales and technologists to technology
- Deliver roadmap and product updates
- Train for demos, proof-of-concepts (POC), and deployment/service delivery
- Provide regular market updates including competitive intelligence
- Set up regular best practices and how to sessions
- Enable partners to develop, launch and support S1 based Solutions
What Skills and Knowledge Will You Bring?
- Minimum 4 years pre-sales working expertise on one of the following technical topics:
- Cloud computing (private, public, hybrid) , Endpoint Protection / EDR, OT-IoT, Security Operations, IR, Mobile Security.
- Strong client facing skills (incl. C-level) and a successful track record of engagement management
- Having excellent technical Presentation Skills
- Fluency in Dutch and English is a requirement for this role
Why Us?
Because you will work on real-world problems with risks of millions of dollars (protecting against Ransomware and other threats) and make an impact by preventing our customers from appearing in global news after being attacked. You will be joining a technologically cutting-edge project and will be able to influence the architecture, design, and building of our core platform. You will meet extraordinary challenges and work with the very BEST in the industry.
On top of that we offer you
- Flexible working hours, this is a remote role based within the Netherlands
- Generous employee stock plan in the form of RSUs (restricted stock units), not options; 4 years vesting with 1 year cliff and then quarterly, stock refresh yearly
- Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) & Grandparent Leave
- Volunteering paid day off & Additional paid Company holidays off (e.g. 4 days in 2022)
- Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
- LinkedIn Learning Business platform for Hard/Soft skills Training & Support for your further educational activities/trainings
& Additional country-specific benefits & allowances to the Netherlands
SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
SentinelOne participates in the E-Verify Program for all U.S. based roles.
Ready to apply?
Apply to SentinelOne
Senior ML Engineer - Kimchi (LLM Inference Optimization)
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
About the role
Throughput. Latency. KV cache utilization.
Move those three numbers in the right direction, and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every kernel you tune, every quantization scheme you ship, every scheduler tweak you land shows up directly in a customer's p99 and on our P&L.
This is a high-impact seat. It is also a high-autonomy seat as you'll be given the room to lead the technical direction of inference optimization at Kimchi, not execute someone else's roadmap.
The problem: running LLMs in production is a moving target. The "right" model and serving configuration for a workload depend on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, quantization tolerance, and a dozen other variables that shift week to week. Most teams pick a model once, over-provision GPUs, and absorb the cost. Kimchi is the system that makes that decision automatically - continuously matching workloads to the most cost-efficient, best-performing LLM and serving configuration on a customer's infrastructure. We're building the optimization layer between the model and the hardware, and we need engineers who understand both sides deeply.
Stack
Python · vLLM · SGLang · TensorRT-LLM · PyTorch · CUDA-adjacent tooling · Kubernetes · gRPC · ClickHouse · PostgreSQL · GCP Pub/Sub · AWS / GCP / Azure · GitLab CI · ArgoCD · Prometheus · Grafana · Loki · Tempo.
Requirements:
- 5+ years building real ML systems, with a portfolio that shows depth in inference or training infrastructure (not just model training notebooks).
- Strong Python - production services, not scripts.
- Hands-on experience with at least one of vLLM, SGLang, or TensorRT-LLM, and a working mental model of why an inference engine performs the way it does on a given GPU.
- Fluency with quantization tradeoffs - you've measured quality regressions, not just compression ratios.
- Comfort with distributed systems: collective communication, sharding strategies, and the practical failure modes of multi-GPU and multi-node setups.
- A bias toward measurement. You instrument before you optimize, and you can tell the difference between a real win and a benchmark artifact.
- Self-direction. This role comes with a wide mandate; you should be excited by that, not unsettled by it.
Responsibilities:
- Push throughput. Continuous batching, speculative decoding, chunked prefill, kernel-level tuning across vLLM, SGLang, and TensorRT-LLM. Find the ceiling on each GPU SKU, then raise it.
- Cut latency. Attack TTFT and TPOT separately. Profile, identify the actual bottleneck (compute, memory bandwidth, scheduling, networking), and fix it - not the bottleneck you assumed.
- Get more out of the KV cache. Paged attention, prefix caching, eviction policies, cache reuse across requests, quantized KV. This is where a lot of the unrealized throughput lives, and it's an area you'll own.
- Quantize without regressing quality. INT8, INT4, FP8 across weights, activations, and KV. Empirical work: measure quality on real workloads, not just perplexity benchmarks.
- Shrink cold starts and memory footprint. Faster init, smarter weight loading, tighter memory accounting - the difference between a model that scales and one that doesn't.
- Scale across nodes. Distributed inference topologies, network-aware placement, checkpointing strategies that don't bottleneck on storage or interconnect.
- Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments.
What’s in it for you?
- Competitive salary (depending on the level of experience).
- Enjoy a flexible, remote-first global environment.
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
- Equity options.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
- Annual hackathon to spark new ideas and strengthen team bonds.
- Team-building budget and company events to connect with your colleagues.
- Equipment budget to ensure you have everything you need.
- Extra days off to help maintain a healthy work-life balance.
Hiring process
- Screening call with Recruiter
- Hiring Manager interview
- Technical interview (system design)
- Live coding
- Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.
#LI-Remote
Ready to apply?
Apply to Cast AI
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’re looking for a Senior Hypervisor Engineer to contribute to the development of our hyperscaler platform.
The Hypervisor team supports and develops the parts of the Cloud platform that directly affect the KVM hypervisor and QEMU device emulator. We understand the granular details of hardware virtualization and device emulation, paying close attention to performance and protection against untrusted code.
You will work on substantial extensions for the QEMU/KVM virtualization stack in close cooperation with the opensource community.
- Optimize I/O for emulated disk and network devices
- Integrate the hypervisor with other platform services and storage facilities for user data
- Efficiently distribute resources between virtual machines
- Improve guest system support
- Advance the cutting-edge of open source virtualization
- Provide low-level security for the hypervisor and emulator
- Provide general support, fix bugs, and monitor the upstream
- Collaborate with other team members and stakeholders
- 5+ years of professional software engineering experience
- Fluent in C programming language
- 3+years of experience with Linux
- At least 3 years of engineering experience with QEMU/KVM
- General understanding of x86-compatible systems (virtual memory, interrupts, privilege rings)
- Experience writing general system code in user mode for Linux, including debugging, analysis, and optimization tools (the emulator is built on the user mode system process for Linux)
- Aсcepted patches in Linux Kernel or QEMU/KVM
- Experience working with Linux kernel
- Some experience with ARMv8, including virtualization extensions
- Understanding of PCI, SCSI, and ACPI
- Experience working with the Linux kernel
- Excellent communication skills for cross-team collaboration
- Strong work ethic
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.
Ready to apply?
Apply to Nebius
Principal Solutions Architect
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 a customer-obsessed Solutions Architect to lead technical engagement with Nebius customers across Europe. This role is focused on presales excellence, strong technical storytelling, and driving adoption of Nebius AI Cloud across a wide range of industry segments.
As a Solutions Architect, you will act as a trusted technical partner to customers, helping them understand, evaluate, and adopt Nebius for their AI/ML and high-performance computing workloads. You will combine deep technical expertise with strong communication skills to clearly articulate Nebius’ value proposition and differentiate our platform in a competitive market.
You’re welcome to work remotely from Europe.
Your responsibilities will include:
- Own end-to-end technical presales engagements, from discovery through solution design, PoC execution, and production readiness
- Serve as a trusted technical advisor to customer stakeholders, including CTOs, Heads of AI/ML, and platform engineering teams
- Deliver compelling technical presentations, demos, and workshops that clearly communicate the value of Nebius across different customer segments
- Execute demos and PoCs to demonstrate performance, scalability, and cost efficiency of Nebius solutions
- Translate customer requirements into scalable, production-ready architectures and best practices
- Collaborate closely with Sales, Product, and Engineering to align customer needs with Nebius capabilities and roadmap
- Act as a technical advocate for customers internally, ensuring feedback is incorporated into product and go-to-market strategy
- Support regional go-to-market efforts, including events, meetups, webinars, and technical content creation
- Contribute to building repeatable technical playbooks and assets for the European market
We expect you to have:
- 2–5+ years of experience in technical roles such as Solutions Architect, Cloud Architect, Sales Engineer, or similar, with strong customer-facing exposure
- Proven experience in presales or customer-facing technical roles, including discovery, solution design, and PoC execution
- Strong ability to deliver technical pitches and clearly explain complex infrastructure and AI/ML concepts to both technical and business audiences
- Experience positioning cloud or infrastructure solutions and articulating value propositions in competitive environments
- Solid understanding of ML/AI workloads, including training and inference, and the underlying infrastructure requirements
- Experience with cloud platforms, Kubernetes, and distributed systems
- Hands-on experience with Infrastructure as Code (e.g., Terraform) and scripting/programming (Python preferred)
- Strong communication and storytelling skills, with the ability to adapt messaging across different customer segments
- Deep understanding of the European market, including customer expectations, buying behaviors, and local ecosystem
- Fluency in English plus another language preferred (both written and spoken), with the ability to engage confidently with local customers and stakeholders
- A highly customer-centric mindset, with the ability to balance technical depth and business value
It will be an added bonus if you have:
- Experience with GPU-accelerated workloads and AI infrastructure (NVIDIA ecosystem, CUDA, etc.)
- Hands-on experience with MLOps tools and frameworks (Kubeflow, MLflow, etc.)
- Familiarity with HPC environments and schedulers (e.g., Slurm)
- Experience contributing to regional go-to-market or developer/community initiatives
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?
Apply to Nebius
Lead Cloud Solutions Architect
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 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.
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?
Apply to Nebius
Account Executive, Portworx (Netherlands, Sweden or Denmark)
We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
THE ROLE
Everpure is seeking a Cloud and Data Services Account Executive to accelerate growth of the Portworx and Everpure Cloud across our EMEA (North) accounts. You will own a number of named customers and prospects, build and execute multi year account plans, and drive platform adoption with a focus on business outcomes such as resilience, risk reduction, faster application delivery, and operational efficiency.
You will work closely with cross functional teams across Everpure and the Cloud and Data Services team, including Systems Engineering, Customer Experience, Marketing, Partner teams, Product, and field leadership. This is a high impact individual contributor role with a strong emphasis on strategic planning, disciplined execution, and customer intimacy.
WHAT YOU'LL DO
- Own and grow a portfolio of enterprise and commercial accounts, delivering against annual and multi year revenue targets.
- Build and execute account plans that map buying centres, application priorities, Kubernetes roadmaps, and transformation programmes.
- Develop executive relationships across CIO, CTO, CISO, Head of Infrastructure, Platform Engineering, SRE, and Application leaders.
- Lead complex sales cycles from discovery through close, including security, risk, procurement, architecture review, and legal processes.
- Position Portworx around measurable outcomes: application resilience, ransomware recovery, data protection, regulatory compliance, cloud portability, and modernisation at scale.
- Orchestrate account teams and partner ecosystems, including GSIs, cloud providers, and regional partners, to drive pipeline creation and deal execution.
- Run a rigorous, value based sales process tailored to cloud native software, with accurate forecasting and strong hygiene in Salesforce and forecasting tools.
- Partner with Customer Experience to expand adoption post sale, identify expansion triggers, and build customer advocacy within the Manufacturing and Automotive community.
- Stay ahead of competitive dynamics in Kubernetes data services, backup and recovery, and container storage, using insights to sharpen strategy and messaging.
- Represent Portworx in customer meetings and relevant industry events, with a field first mindset.
WHAT YOU BRING
- Proven enterprise software sales experience, with a track record of closing and expanding high value, multi stakeholder deals in large organisations.
- Demonstrable experience selling into commercial & enterprise accounts, with an understanding of procurement, governance, risk, and security requirements.
- Strong grasp of cloud native concepts and the Kubernetes ecosystem, plus the ability to credibly engage architects and platform teams.
- Experience selling to both technical and executive stakeholders, translating technical capabilities into business value and risk outcomes.
- Disciplined pipeline generation, qualification, deal management, and forecasting, with strong operational habits in SFDC.
- Comfort working in a matrixed environment, influencing cross functional teams without direct authority.
- Strong communication and programme management skills, with clear account planning and stakeholder alignment.
- A customer first mindset and a bias for action, with resilience and curiosity.
- Business proficiency in both local language (Dutch, Swedish or Danish) and English.
WHAT YOU CAN EXPECT FROM US:
- Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
- Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
- Team: We build each other up and set aside ego for the greater good.
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information.
ACCOMMODATIONS AND ACCESSIBILITY:
Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview.
OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:
We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.
Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
Join us and bring your best.
Bring your bold.
Pure and simple.
Ready to apply?
Apply to Everpure
Join the company that’s building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next.
We’re one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market. With a global workforce, we’re remote‑first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd.
Why You'll Love This Role
Cribl is seeking a Professional Services Consultant. We are a fast-growing, remote-first company with a mission to unlock the value of all observability data. At our core, we believe in shipping phenomenal products and doing good by our customers and communities. We provide our customers with a new and unprecedented level of observability, intelligence, and control over their real-time data. We're backed by Sequoia and CRV, and our products are deployed in some of the largest organizations in the world processing 100s of TB and PB of IT & Security data, and managed by Site Reliability Engineers, System Engineers, and Technical Operations teams.
In this role, you'll be helping customers strain valuable data from discardable data. You’ll be instrumental in shepherding customers that are starting out on their Cribl journey and also in helping established customers uncover even more value. You will have the ability to interact and see new technology and solutions from our vast and diverse customer base. Are you excited to help? We certainly are at Cribl.
As An Active Member Of Our Team, You Will…
- Demonstrate technical leadership and authority in the areas of observability and/or security.
- The opportunity to be the thought leader in driving complex deployments of Cribl products while working side by side with the customers to resolve their unique problems.
- Work with a team of incredibly talented and dedicated peers, all the way from the Engineering, Sales Engineering, Support and Customer Success Engineers.
- Lead and execute complex customer engagements, serving as the technical authority, and ensuring successful architecture, design, development, deployment, operationalization, and documentation.
- Enhance Cribl's learning ecosystem by creating valuable resources such as best practice documentation, informative blog posts, comprehensive runbooks, engaging workshops, and effective customer training materials.
- Facilitating knowledge transfer, enablement, coaching, and mentoring for team members, customers, and/or partners.
- We are a remote-first company and work happens across many time-zones – you may be required to occasionally perform duties outside your standard working hours
If You’ve Got It - We Want It
- Minimum 5 years of hands-on experience in technical consulting or big data analytics, demonstrating proficiency in advanced technical concepts and methodologies.
- Extensive expertise in deploying and managing AWS/AZURE/GCP Cloud environments, including advanced configuration and optimization techniques.
- Exceptional command over Big Data Analytics tools such as Splunk, Elastic, Grafana, DataDog, Exabeam, and Azure Sentinel, with a deep understanding of their technical intricacies and practical applications.
- Proven track record of working with complex Enterprise applications, including proficiency in deploying and managing Kubernetes, Docker, and other automation technologies.
- In-depth knowledge and experience with both Unix and Windows operating systems, proficient in utilizing command line interfaces and GUIs to accomplish complex tasks.
- Proficient in scripting languages such as JavaScript, with recent experience developing scripts and automation workflows.
- Ability to effectively communicate and engage with a diverse range of stakeholders, including technical personnel like administrators, as well as executive-level partners, demonstrating strong interpersonal and presentation skills.
- Passionate about delivering exceptional customer experiences and solving complex technical challenges, consistently going above and beyond to meet and exceed customer expectations.
- BONUS POINTS:
- Ability to thrive in a dynamic, fast-growing environment while working independently and remotely from other members of your team
- Relevant software industry experience in any of the following: IT systems, enterprise or infrastructure management, application development and management, security, and/or analytics
Salary Range
The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience. In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus.
#LI-KM1
#LI-Remote
Bring Your Whole Self
Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We’re building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you’ll ever meet at cribl.io/about-us.
Ready to apply?
Apply to Cribl
Online Services Engineer
Guerrilla, the Amsterdam-based developer of Horizon Zero Dawn, is looking for an Online Services Engineer to support our Online Tech team with upcoming projects.
Our Online Tech team
Our Online Tech team builds reliable, and high-performance online systems with a focus on low-latency delivery. We work with various other disciplines to create tools needed to build online game features. We deliver the networking and replication layers for both game client and server, integration with online platform services (e.g. PSN), authentication, matchmaking, inventory, store, server allocations, and more. The team works in close collaboration with our Online Infrastructure team, which designs and maintains the build and deployment environments for our services, servers and tools.
Our Technology
Our services use industry-standard web technologies built on modern frameworks: Java 21 and Spring Boot 3.5.x (with migration to Java 25 and Spring Boot 4 coming soon), Kotlin, Hibernate, and OpenAPI. We leverage Redis for caching and pub/sub, Amazon SQS for queuing, and PostgreSQL/MySQL for persistence. The services are designed around domain-driven architecture with a hybrid approach between microservices and domain services, and we share as little state as possible between services.
We host our services on Kubernetes backed by Amazon EKS and use other AWS services like S3, DynamoDB, and RDS. Our deployment pipeline uses GitHub Actions and ArgoCD for continuous delivery. Some of our DevOps tooling is built with Golang.
What You Will Do
As an Online Services Engineer we will look to you to:
- Help build a highly scalable and highly available online services environment;
- Work on player systems focused on persistence, safety, retention, and engagement;
- Cooperate with multiple internal stakeholders and disciplines to achieve the game’s vision;
- Develop, test and maintain our zero downtime deployment system;
- Develop and improve instrumentation for monitoring and logging the health and availability of services.
- Work closely with the engineers in the Online Infrastructure team to ensure robustness, scalability and performance of our services;
- Keep up to date with the Java world and introduce new technologies when they are relevant for Guerrilla.
- Participate in, and help maintain, a healthy and sustainable on-call rotation.
Who You Are
We'd love to hear from you if:
- You have Java + Springboot development experience (game industry experience is a plus);
- You have a good grasp on software design and architecture, and enjoy writing code that is both maintainable and performant;
- You have an understanding of web-related technologies (e.g. HTTP, REST, Message Queuing);
- You have experience with version control systems such as Git and Perforce;
- You have some experience with cloud native approach, including CI/CD deployments.
- You have strong written and verbal communication skills;
- You have a helpful, solution-minded approach;
- Have an interest in online gaming.
Interested?
If you are up for the challenge, hit the “apply now” button to submit your application to us. Be sure to submit your CV, motivation letter, and a Java code sample that shows your best and most recent work. We would love to see structured programming as code examples and a demo presenting relevant work to the position.
Please note: This position is based in our studio in the heart of Amsterdam. Guerrilla offers relocation and immigration support.
At Guerrilla, we believe that our team’s varied backgrounds, experiences, and perspectives help us create games that resonate with a diverse audience.
As an equal opportunities employer, we strive to create an inclusive environment, empower employees and embrace diversity.
We encourage everyone to respond as we consider all candidates on the basis of their merit, unique strengths, and perspectives they will bring to the role.
Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Ready to apply?
Apply to Guerrilla Games
Sales Engineer, Netherlands
Ready for an opportunity to make a substantial impact with a disruptive tech company while building your pre-sales career? Rubrik, Inc. has an amazing product, a supercharged team and the financial backing of Lightspeed Ventures, Greylock Partners and Khosla Ventures. Bottom line, if you have limitless drive and like to win, we want to talk to you!
Rubrik is looking for Sales Engineers in the Netherlands to provide technical direction and business guidance to the regional sales team. As a Sales Engineer, you will be accountable for regional revenue goals by driving innovative technical programs and overseeing day-to-day account-level activities. You will be responsible for evangelising, positioning, and architecting the industry's first hyper-converged hybrid cloud data management platform for a mix of enterprise, mid-market, and small business customers throughout your region.
About the position:
- Provides technical leadership and direction to customers and internal staff in the development of fully integrated technology solutions in support of pre-sales activities in the assigned market.
- Assists in the analysis, design and development of fully integrated technology solutions.
- Demonstrates technical leadership and subject matter expertise on Rubrik’s products, distributed architectures, file systems, and competitive storage offerings in the SAN product space.
- Acts as technical expert and consultant to develop and propose solutions that meet the technology and business requirements of assigned customers.
- Makes technical and sales presentations to customer's technical staff and senior management.
- Serves as a trusted technology advisor to customers and serves as an internal resource on technical issues or specific business applications within an assigned market segment.
- Successfully builds relationships with the account team, partners and customers in support of sales team objectives and engages and leverages corporate resources, abilities, budgets and personnel as appropriate.
- Leads technical sales calls
- Qualifies sales opportunities in the terms of customer technical requirements, competition, decision making process and funding.
About you:
- 5-7 years of sales engineering experience preferably in a software or data center environment.
- Driven – need for success, highly energetic with a strong hands-on, “can do” approach.
- The successful candidate must have a fundamental breadth of technical knowledge in cloud data management, backup and disaster recovery and data analytics.
- Entrepreneurial - willing to go the extra mile, strong work ethic, resourceful, “get it done” attitude
- Strives in moving in a fast-paced environment; including handling multiple calls/demos per day with immediate follow up.
- A high level of business acumen and experience working with Cx0 level personnel, bringing technology solutions to solve business challenges.
- Smart, adaptable and open-minded
- Bachelor’s degree required or equivalent experience
- Dutch speaker
Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Join Us in Securing and Accelerating the World's AI Transformation
Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy and undoing agentic mistakes.
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Inclusion @ Rubrik
At Rubrik, we are dedicated to fostering a culture where people from all backgrounds are valued, feel they belong, and believe they can succeed. Our commitment to inclusion is at the heart of our mission to secure the world’s data.
Our goal is to hire and promote the best talent, regardless of background. We continually review our hiring practices to ensure fairness and strive to create an environment where every employee has equal access to opportunities for growth and excellence. We believe in empowering everyone to bring their authentic selves to work and achieve their fullest potential.
Our inclusion strategy focuses on three core areas of our business and culture:
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Our Company: We are committed to building a merit-based organization that offers equal access to growth and success for all employees globally. Your potential is limitless here.
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Our Culture: We strive to create an inclusive atmosphere where individuals from all backgrounds feel a strong sense of belonging, can thrive, and do their best work. Your contributions help us innovate and break boundaries.
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Our Communities: We are dedicated to expanding our engagement with the communities we operate in, creating opportunities for underrepresented talent and driving greater innovation for our clients. Your impact extends beyond Rubrik, contributing to safer and stronger communities.
Equal Opportunity Employer/Veterans/Disabled
Rubrik is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact us at hr@rubrik.com if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
Ready to apply?
Apply to Rubrik Job Board
Customer Engineer EMEA
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 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.
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?
Apply to Nebius
Key Customers Solutions Architect EMEA
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
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.
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?
Apply to Nebius
Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world’s largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.
We believe in the power of our product. We continue to execute and build momentum as we develop our customer base with the world's top banks; we work with four of the five largest banks in the US, acquirers, processors, and merchants. In our fast-paced and open environment, you will be working with a collaborative team spanning across the globe and delivering exceptional results. We are committed to building something extraordinary. Join Us!
You:
As a Senior Solutions Consultant at Feedzai, you will play an integral role in the sale of our leading RiskOps platform to high-profile Financial Institutions. You will partner with Feedzai’s sales team to understand clients, prospects and partners’ business, functional and technical needs and demonstrate how those can be achieved through the capabilities of our platform. You not only support effective qualification, but also own the technical dimension that addresses the business needs - you will successfully employ a combination of communication and soft skills, compelling storytelling, solution design and collaboration with a strong solutions design mindset to act as the trusted advisor with the clients. As needed you’ll also be a bridge to our product and development teams, distilling sales engagement feedback for them to help guide our roadmap. Finally you’ll have the organizational skills to do all this, and be able to lead multiple RFP proposals.
Your Day to Day:
- Provide product demonstrations and lead technical sales discussions both remote and onsite across Europe.
- Assist the sales team in leading tailored value driven pitches (market to technology), strongly focused in financial crime.
- Understand client business needs and offer solution designs to address those needs, in a continuous education mode and problem-solving mindset.
- Manage (orchestrate, complete, review, submit) formal Tenders (ie, RFPs, RFIs).
- Build formal proposals and own its life cycle throughout the sales process to ensure crisp translation of business needs into technical requirements.
- Engage with multiple stakeholders, from Product to Delivery, to ensure not only the right staffing for client engagements is in place but also to ensure market insights are shared across teams
You Have, You Know-how, You are:
- BS or Masters in Computer Science or equivalent - proven experience in Enterprise Software sales and strong technical acumen.
- 5+ years of professional experience as Solution Consultant in complex environments, supporting teams to land and expand client’s portfolio.
- Proven experience in the Financial Services industry - Financial Crime
- Relevant commercial / sales experience, with a track record working as a Solution Consultant / Pre-sales Engineer, supporting quota carriers in selling enterprise-level software in complex and mission-critical environments.
- Experience at a growth-stage Enterprise software SaaS company.
- Ability to understand and determine an enterprise's client’s needs and how Feedzai’s products might best fit through a consultative approach.
- Strong business acumen with executive presence, strong presentation skills and excellent listening skills
- Must be organized and a self-starter, able to deliver high-quality work without a tactical oversight in a fast-paced environment.
- Highly driven, organized, ambitious and tenacious. A natural problem solver with a strong student mentality, work ethic and positive mental attitude.
- Willingness to travel up to 30% - this is a remote role, with travel as required.
#LI-Remote #LI-JP1
Your First 30-Days at Feedzai:
You will be immersed in our brand with training, connections, and one-on-one time with your manager. You may shadow your colleagues virtually or onsite at an office depending on where you work as you are supported through your Feedzai journey. In addition, you will have access to a ton of information to give you history, context, and all the knowledge you can handle about Feedzai and the team. Finally, you will start working on projects and collaborating on work currently being done. We can't wait to have you join the team!
Feedzai is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Feedzai does not accept unsolicited resumes from recruiters or employment agencies.
Feedzai will use the personal data you provide us with by filling out this form for reviewing your application and to potentially negotiate a contract with you. Your personal data will be retained by Feedzai for 24 months following your application. Please see our Privacy Notice available at https://www.feedzai.com/legal/feedzai-candidate-privacy-policy/ and https://www.feedzai.com/legal/feedzai-california-candidates-privacy-policy/ for more information on how we process your personal data.
Ready to apply?
Apply to Feedzai
At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car, a Woolly Mammoth’s Skeleton, Lady Gaga's Jumpsuit or Usain Bolt’s running shoe, we encounter exceptional objects every day.
We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts.
Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us.
- Taking ownership and driving impact
- Being open to change and feedback
- Being passionate about our mission and our customers.
About the Role and Team
As a Security Engineer, you’ll join our Security function and work closely with Platform Engineers, development teams, Legal, IT, Trust & Safety teams to ensure the protection of our platform, our users, and their data. You’ll help build and maintain a strong security foundation across our systems — including our emerging use of AI — making security a natural part of how we design, build, and operate at scale.
In this role, you’ll operate in a highly collaborative, engineering-driven environment where security is a shared responsibility. You’ll combine hands-on technical work with cross-functional partnership, enabling secure product development, guiding teams through best practices, and helping Catawiki maintain user trust while continuing to grow securely and responsibly in an AI-enhanced environment.
What You’ll Do
- Identify, assess, and remediate security vulnerabilities across applications, infrastructure, internal services, and AI/ML pipelines.
- Conduct secure code reviews, threat modeling, and security assessments for new features, architectural changes and legacy components.
- Implement and maintain secure storage mechanisms, encryption practices, secrets management, and key management solutions.
- Define, document, and enforce security policies, standards, and best practices throughout the software development lifecycle (SDLC), including AI-related data handling and model governance.
- Collaborate closely with Platform Engineers to integrate security into CI/CD pipelines, infrastructure-as-code, runtime environments.
- Work with Legal, IT, Trust & Safety teams to ensure compliance, support investigations, manage security requirements.
- Participate in incident response — investigate security events, triage issues, support remediation, and strengthen preventive controls.
- Raise security awareness across the company by providing guidance, training, and proactive support for secure development, AI safety, and system design.
- Contribute to long-term security strategy by evaluating emerging threats — including those involving AI — identifying opportunities for automation, and recommending new tools or processes.
Who You Are
- You have development experience in Ruby, Python, or a similar language, and you’re comfortable reviewing and contributing to backend codebases.
- You bring 3+ years of hands-on security engineering experience, ideally in a cloud-based or high-traffic environment.
- You understand application, infrastructure, and AI/ML security principles, and you can navigate risk within data pipelines and model-driven systems.
- You have strong knowledge of secure coding practices and common vulnerabilities (OWASP, SANS) across both traditional and AI-enabled services.
- You’re experienced with secure code reviews, threat modeling, and designing practical and scalable mitigations.
- You have a solid understanding of cryptography, encryption, key management, secrets handling, and secure data storage.
- You’re familiar with integrating security into modern SDLC practices — including pipelines, IaC, cloud-native environments, and emerging AI workflows.
- You communicate clearly and collaborate effectively with engineering and non-engineering teams..
- You’re proactive, curious, and comfortable driving initiatives that strengthen our long-term security posture.
Why You'll Love Working with Us
- Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business.
- Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression.
- A culture of connection defines us. We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work.
- Celebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion”. We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location.
Our Offices and Way of Working
Our vibrant offices in Amsterdam, Paris and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based.
Interested?
Apply with an English CV and Cover Letter. By applying, you agree to Catawiki’s Applicant Privacy Policy. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles.
Ready to apply?
Apply to Catawiki
Senior Solutions Engineer, Ukrainian speaker
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: London, Lisbon, Paris, Munich, Amsterdam
What you’ll do
What you’ll do:
The Pre-Sales Solutions Engineering organization is responsible for the technical sale of the Cloudflare solutions portfolio, ensuring maximal business value, fit-for-purpose solution design, and efficient adoption roadmaps for our customers.
As a Solutions Engineer, you are the technical customer advocate within Cloudflare. You will aid your customers and work closely with every team at Cloudflare, from Sales and Product to Engineering and Customer Support. Your goal of customer success should drive you through the entire organization as you seek out and create scalable solutions for your customer’s needs.
Technology moves at lightning speed; a broad knowledge of Internet performance and security technologies is required, and the curiosity to maintain and develop new knowledge is essential to keeping up with the high rate of product innovation at Cloudflare.
Examples Of Desirable Skills, Knowledge And Experience:
Ultimately, you are passionate about technology and have the ability to explain complex technical concepts—like how an edge network reduces "lag" or how WAF rules protect a player's wallet—in easy-to-understand terms. You are naturally curious, and an avid builder who is not afraid to get your hands dirty.
You appreciate the diversity of challenges in working with customers, from managing "micro-burst" traffic spikes to navigating regulatory requirements. You will find a collaborative environment where everyone brings different strengths and jumps in to help each other obtain the technical win so that customers choose Cloudflare to protect and accelerate their platforms.
Additional experience might include:
- Language: fluent in Ukrainian and English
- 5-to-10 years of experience in the IT industry.
- Vertical Expertise: Understanding the cloud architectures, with main focus on security layers, such as CDN, WAF, SASE and Anti-DDoS..
- Technical "How the Internet Works": * Deep understanding of TCP vs. UDP, why it matters and why it's so critical from security point of view;
- Solid understanding of DDoS mitigation strategies at Layers 3, 4, and 7 to prevent services disruption.
Pre-Sales Excellence: Previous experience in a technical consulting or SE role, with a track record of demonstrating ROI to CTOs and Infrastructure Leads.
Project Management: Ability to manage complex Proofs of Concept (PoCs) and prioritize between competing demands in a fast-paced environment.- Communication: Excellent presentation skills with a strong command of business English.
- Market Knowledge: Familiarity with the competitive landscape for CDN, Zero-Trust, and SASE providers.
- Travel: Ability to travel to customer sites, industry events and internal summits.
Bonus!
- Scripting Skills: Demonstrated experience with JavaScript, Python, or Rust, and a desire to help customers build the next generation of serverless features on Cloudflare Workers.
- Security Trends: Exposure to emerging trends such as Zero Trust for securing internal employees traffic or remote-work environments.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Ready to apply?
Apply to Cloudflare
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
What You’ll Do
- Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
- Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
- Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
- Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience
An Ideal Candidate Should Have
- Proven experience in backend development: TS/Node (required)
- Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
- Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
- Preferred: Experience with Docker and containerized deployments
- Preferred: Proficiency in deploying high availability applications on Kubernetes
What We Offer
- A dynamic environment where your contributions shape the company and its products
- A team that values innovation, intuition, and drive
- Autonomy, fostering focus and creativity
- The opportunity to have a significant impact in a revolutionary industry
- Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
- The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
- An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Senior Product Solutions Architect - Logs
We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.
The Logs family of products represents a strategic evolution in how organizations manage and analyze logs at scale while meeting stringent data residency, compliance, and cost requirements. The Product Solutions Architect (PSA) will work closely with Datadog customers, Logs Product team, and the CloudPrem product team to architect, implement best practices, and drive adoption of the log management suite.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
- Serve as the Product Expert on Logs, CloudPrem, and Observability Pipelines
- Offer guidance on architecture choices, data collection, and best practices to large Enterprise customers as they adopt these Datadog services across the organization at scale
- Design and validate hands-on, production-ready architectures spanning cloud infrastructure, Kubernetes platforms, and customer-managed environments
- Actively identify opportunities to simplify, optimize, and standardize deployment patterns, reducing operational complexity for customers through architectural guidance and best practices.
- Be a Trusted Advisor to Product Management by providing high quality feedback based on your field experience working closely with our Support, Partners, and Customers
- Capture repeat customer use cases and solutions and in turn publish Reference Architectures, automation patterns, and Implementation Guides for Datadog prospect and customer consumption
- Build world class training material, solutions briefs, blogs, and documentation to the wider Datadog field technical teams over the latest product features and capabilities
- Collaborate with other teams at Datadog including Marketing, Sales, Community, Documentation, and Evangelism to ensure the success of the Log Management product family
- Exercise the products you represent by building hands-on proof of concepts, small scale deployments to validate solutions and reproduce customer environments
- Engage deeply with customers, feeling their operational pain points and driving solutions that measurably improve reliability, scalability, and day-to-day operations
Who You Are:
- Someone with strong hands-on experience with tools such as Kubernetes, including cluster architecture, networking, storage, and operational best practices.
- Someone with strong knowledge of cloud infrastructure fundamentals, including networking, compute, storage, and distributed system design.
- Someone familiar with Security, Governance, and Compliance requirements for industry verticals
- Someone who can dive deep into our Codebase, SDKs, and GitHub workflows to understand, debug, and influence product behavior
- Experience with languages like Python and/or Rust, and file formats such as JSON and YAML
- A self-starter, tech-savvy professional, who is comfortable working with bleeding edge technology and processes, even if it hasn’t been well defined
- A deep learner and a Subject Matter Expert today that has built advocacy and knowledge across multiple teams with the knowledge you possess
- Fluent in understanding the observability market domain, competition, technological shifts, and customer needs
- Someone who values getting things done, taking ownership from problem definition through implementation and outcome
- Highly detail-oriented, especially when working on architectures, documentation, and customer-facing solutions
- A person who possesses exceptional listening and consultative skills, for both internal and external audiences
- Experienced working with customers in high pressure situations where the solution is sometimes not obvious - caring about customer pain and motivated to solve hard problems on their behalf
- Able to sit up to 4 hours, traveling to and from client sites
- Able to travel via auto, train, or air up to 40% of the time
Bonus Points:
- Successful track record with 5+ years experience working as an Architect or Consultant
- Experience using Datadog and/or other observability tools in an SRE or DevOps capacity
- Have recent experience deploying solutions in production environments at scale
- Strong knowledge or experience with Splunk, Elastic, Opensearch, SumoLogic, Vector, Cribl, Quickwit
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- Best-in-breed onboarding
- Generous global benefits
- Intra-departmental mentor and buddy program for in-house networking
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- An inclusive company culture, able to join our Community Guilds and Inclusion Talks
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
Principal Data Engineer (m/f/d)
Principal data engineers at Thoughtworks, are strategic leaders who spearhead data engineering initiatives, tackle complex business challenges and uncover transformative insights. They possess a deep understanding of a client's business ecosystem and partner with executives to align technology strategies with business objectives. By contextualizing emerging trends and Thoughtworks' exploration, they expand the impact of data engineering within the client organization.
They draw upon their profound expertise in developing modern data architectures and infrastructure for the management of data applications.
Effective collaboration is paramount, as data engineers adeptly convey their discoveries to both technical and non-technical stakeholders. They stay abreast of industry advancements, ensure data quality and security, and provide mentorship to junior team members.
At Thoughtworks, data engineers leverage their deep technical knowledge to solve complex business problems, making a significant impact on client success.
Job responsibilities
- You will collaborate with sales and pre-sales to clarify requirements and design viable solutions and drive pursuits with technical stakeholders.
- You will establish a clear vision and direction for the data paradigm/practices, aligning it with the overall business strategy.
- You will collaborate with executive level stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
- You will consult on complex data platform programs, synchronizing cross-cutting architectural concerns and providing client-facing technical leadership and guidance as a data subject matter expert.
- You will be responsible to create, design and develop intricate data processing pipelines, addressing clients' most challenging problems.
- You will collaborate with data scientists to design scalable implementation and production of their models.
- You will write clean and iterative code based on TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines.
- You will design and implement the strategy around data governance, data security and data privacy to support business and compliance requirements.
- You will represent Thoughtworks in various online and offline forums, including events and conferences.
Job qualifications
Technical Skills
- You must have extensive pre-sales experience and a proven ability to independently drive complex pursuits and create winning commercial proposals.
- You have experience leading enterprise data strategy, system design, and the end-to-end implementation of large-scale technical solutions.
- You are a native-level German speaker (C1) who is comfortable driving consensus and managing expectations with senior technical stakeholders.
- You possess hands-on experience in system design using Domain-Driven Design principles for complex enterprise organizations with multiple domains.
- Working with data excites you; you have designed Big Data architectures, built and operated data pipelines, and managed data storage within distributed systems.
- You have a deep understanding of data modeling and practical experience with modern data engineering tools, platforms, and cloud warehousing solutions.
- You are a "hands-on" leader—equally happy writing production-grade code as you are leading a team to implement a vision.
- You have built and deployed large-scale data pipelines and data-centric applications using distributed storage and processing platforms in production environments.
- You have experience designing and developing streaming solutions (Cloud or On-premise) leveraging leading technologies and industry best practices.
- You have experience implementing data governance and security policies, complemented by a solid understanding of MLOps and data science concepts.
Professional Skills
- You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
- You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
- You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
- You coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
- You are a proven leader with a track record of encouraging teammates in their professional development and relationships.
- Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
Responsible Use of AI in Recruitment
At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.
Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.
We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.
About Thoughtworks
Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.
#LI-Onsite
Ready to apply?
Apply to Thoughtworks
Data Engineer
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.
This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.
Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.
This is an internal and non-client facing role.
What you’ll do:
Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform. That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:
-
Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.
-
Develop engineering expertise within Snowflake for data engineering and security/governance features
-
Build & maintain python & SQL data replication & data pipelines on large & often complex data sets
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Build & maintain data quality metrics & observability to help drive data quality standards
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Learn about existing systems and processes across Data Platforms, Data Engineering and Data Governance
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Troubleshoot data pipelines, platform automations, data access system.
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Help field and troubleshoot various community questions and challenges
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Own, maintain and enhance data operation processes, monitoring & data quality systems
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Design data models for both short term and long term use cases to support data warehouse scalability
-
Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency
-
Identify opportunities for improvements & optimization for greater scalability & delivery velocity
-
Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables
-
Perform root cause analysis on often complex errors to help ensure data pipeline availability
-
Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration
-
Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering
-
Proactively drive innovation internally with bringing ideas for platform and process improvements
-
Help contribute to the ongoing documentation of internal systems and processes
Requirements:
-
2+ years of relevant experience in Data Engineering / Data Platform Engineering
-
Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus.
-
Prior experience with Snowflake a plus
-
Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins
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Experience in building data models
-
Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment
-
Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.
-
Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies
-
Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements
-
Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment
-
Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same
-
Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision
Ready to apply?
Apply to Dataiku
Data Engineer II
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Dataiku is looking for a Data Engineer II to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA Team, you will play a central role in delivering data to fuel analytics, AI, and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the Data Platform that fuels centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users across the organization.
You will become a technical expert on the various platforms we work in and help drive engineering excellence both within the EDA team and across the wider Analytics Community. The Data Engineering day to day will primarily be within the Data Platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.
Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. Strong software development lifecycle knowledge and DataOps skills are a must. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.
This is an internal and non-client-facing role.
What you’ll do:
Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform. That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts! Your responsibilities within the team include but are not limited to:
-
Be an expert level engineer within the Dataiku Platform including Platform Automation, GenAI Capabilities, Plugin Development, maintenance & troubleshooting
-
Be an expert level engineer within Snowflake for data engineering and security/governance features
-
Build & maintain python & SQL based platform automation process
-
Build & maintain data quality metrics & observability to help drive data quality standards
-
Design data models for both short term and long term use cases to support data warehouse scalability
-
Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency
-
Build & maintain GenAI Platform platform solutions focused on security and governance for engineering delivery
-
Build & maintain DataOps process for SDLC delivery
-
Identify opportunities for improvements & optimization for greater scalability & delivery velocity
-
Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables
-
Perform root cause analysis on often complex errors to help ensure data pipeline availability
-
Help drive technical & architectural decisions on the data platform including decisions on data architecture, data engineering processes, data quality frameworks, data access security & governance frameworks, DataOps processes & data consumption models.
-
Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration
-
Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering
-
Proactively drive innovation internally with dedicated innovation time & projects that aim to be transformational for either the platform, team or company as a whole.
-
Actively contribute to the expertise level and competencies of the EDA Team and participate in the creation and support of data development standards and best practices.
Requirements :
-
3+ years of relevant experience in Data Engineering / Data Platform Engineering
-
Expertise in SQL & Python is a must. Experience in Dataiku DSS is a big plus.
-
Prior experience with Snowflake strongly desired
-
Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins
-
Strong understanding of data architecture & data modeling concepts
-
Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment
-
Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas and challenge the norm.
-
Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies
-
Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements
-
Ability to manage multiple projects and time constraints simultaneously in a high trust remote environment
-
Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same
-
Excellent written and verbal communication skills (especially with senior level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision
Ready to apply?
Apply to Dataiku
Senior Sales Engineer - Data & AI Security
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role:
Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking a Senior Sales Engineer to drive technical leadership in our sales team, focusing on the Securiti AI portfolio. You will partner with a Securiti Sales Specialist and support 3–5 Account Executives and Veeam Solution Engineers as the technical subject matter expert.
You will guide customers from needs assessment to solution design, delivering hands-on demos and proof-of-concepts to showcase value. Success in this role requires strong technical skills and the ability to build trust with clients.
What You’ll Do:
- Act as the primary technical contact for Securiti AI solutions during the sales cycle
- Lead technical discussions and deliver customized security solutions
- Address customer needs in data discovery, posture management, and compliance
- Design and present product demonstrations and proof-of-concepts
- Collaborate with product, engineering, and customer success teams to ensure smooth transitions
What You’ll Bring:
- Significant experience in pre-sales or sales engineering
- Strong understanding of data and/or cloud security
- Effective communicator with both technical and business stakeholders
- 10+ years technical sales experience in security
- 15+ years in Software/SaaS/Enterprise technical sales
- Hands-on experience with AWS, Azure, or GCP
- Knowledge of data privacy/security standards (e.g., GDPR, NIST 800-53, ISO 27001)
- Experience with DSPM frameworks, Linux, Kubernetes, or cloud data systems
- Relevant certifications (CISSP, CISM, or cloud-specific)
What You’ll Get
- 26 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Annual allowance for private healthcare plan
- Supplementary pension scheme with employer and employee contributions
- Long-term sickness coverage: salary protection for up to two years
- Enhanced disability income protection through WIA and WGA gap insurance
- Access up to 12 free therapy sessions annually, plus legal and financial advice
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning
Please note: If an applicant is permanently located outside of Netherlands, Veeam reserves the right to decline the application for this position. #LI-DF1 #LI-REMOTE
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
Ready to apply?
Apply to Veeam Software
Senior Applied AI Solutions Engineer
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.
This role sits at the intersection of deep ML engineering and product impact. You'll spend roughly half your time in the field — helping new customers move from POC to production, running technical onboarding, and working hands-on through their ML stack. The other half you'll spend building — prototyping applied AI use cases that show what's possible on the platform, going deep on emerging techniques before they're mainstream, and turning that expertise into concrete product direction.
This is not a presales role. You get your hands dirty every day.
What success looks like in 12 months
- The product and sales teams have a library of working, polished demos they reach for on calls
- Enterprise customers you've touched have meaningfully faster time-to-value than those you haven't
- At least 2–3 product changes were shipped because of feedback you originated
- The team understands where applied AI is heading 6–12 months from now, partly because you told them
- Build prototypes and demos across the product portfolio — serverless inference, databases, MLflow, MLOps, and vertical use cases in Physical AI and HCLS — that become assets for sales, product, and engineering teams
- Support new customers hands-on through POC design, technical onboarding, and validation; act as the bridge between their ML team and the platform during the critical first months
- Go deep on emerging applied AI — new training techniques, inference optimizations, agentic architectures, new frameworks — and turn findings into working prototypes, writeups, and product recommendations
- Feed the product roadmap with specific, grounded feedback; be the voice of "here's what broke in three customer POCs last month and here's what needs to change"
- Develop reusable technical assets — notebooks, reference architectures, benchmark results — that reduce onboarding friction at scale
- You've fine-tuned large models, debugged distributed training jobs, built production RAG or agentic pipelines, and optimized inference on GPU infrastructure — not just read about it
- You're fluent in the modern ML stack: PyTorch, HuggingFace, CUDA fundamentals, Kubernetes for ML, MLflow or equivalent, vector databases
- You've worked with enterprise ML teams — whether as a solutions engineer, customer engineer, or an ML engineer who collaborated closely with customers
- You read papers and implement them — not for credit, but because it's how you stay sharp
- You communicate with calibration: you can explain activation checkpointing tradeoffs to an ML engineer in the morning and the cost implication to a CTO in the afternoon
- Experience in any of our vertical domains: Physical AI / robotics / simulation, HCLS (drug discovery, medical imaging, clinical NLP), or enterprise AI application development
- Familiarity with MLOps at scale (Kubeflow, Metaflow, Argo, Ray)
- Prior work at a cloud provider or AI infrastructure company
- You've shared technical work publicly — notebooks, talks, blog posts that people actually use
- 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.
Compensation
We offer competitive compensation packages based on experience.
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?
Apply to Nebius
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
Nebius is searching for a Enterprise Networks Engineer with strong automation skills to design, implement, and optimize enterprise networks, including wired, wireless, and VPN infrastructure.
Your responsibilities will include:
- Lead the design, implementation, and optimization of enterprise wired and wireless networks, ensuring scalability, security, and high availability
- Own and maintain network connectivity between branch offices around the world, partnering with global teams to standardize architecture and operations
- Manage and ensure the reliable operation of remote access systems (VPN), including capacity planning, resiliency, and continuous improvements
- Deploy, maintain, and continuously improve automation and monitoring tools; define best practices and drive automation-first operations
- Diagnose and resolve complex network issues, including cross-region and cross-provider incidents; perform root cause analysis and implement preventative measures
- Test, evaluate, and introduce new equipment and emerging technologies; contribute findings and recommendations into global R&D streams
- Collaborate with telecom service providers globally; lead escalations, manage SLAs, and drive service improvements
We expect you to have:
- In-depth knowledge of TCP/IP technologies
- Familiarity with dynamic routing protocols
- Experience in automation using Python, Go, or other popular programming languages (ability to design and maintain production-grade automation)
- Proficiency in Unix system administration
- Hands-on experience with enterprise-grade network hardware (e.g., Cisco, Aruba, Arista, Extreme, Juniper)
- Strong ability to work independently, owning outcomes end-to-end in a senior/lead capacity
It will be an added bonus if you have:
- Experience with network automation frameworks like Ansible, Terraform, NetBox, Nornir, or SaltStack
- Experience designing, developing, and operating high-load distributed systems
- Experience building high-density enterprise wireless networks (CWNA level or higher)
- Working knowledge of IPv6
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?
Apply to Nebius
Senior Software Engineer (Token Factory)
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
This role is for Nebius AI R&D, a team focused on applied research and the development of AI-heavy products. Examples of applied research that we have recently published include:
- investigating how test-time guided search can be used to build more powerful agents;
- dramatically scaling task data collection to power reinforcement learning for SWE agents;
- maximizing efficiency of LLM training on agentic trajectories.
One example of an AI product that we are deeply involved in is Nebius Token Factory — an inference and fine-tuning platform for AI models.
This role will require expertise in distributed systems to build large-scale LLM training platform.
Your responsibilities will include:
- Designing and developing LLM training platform.
- Maintaining our ML infrastructure, ensuring optimal performance, scalability and reliability.
- Improving job scheduling strategies to minimize resource fragmentation.
We expect you to have:
- 5+ years of professional software development experience.
- Strong software engineering skills (we mostly use Python and Go).
- Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
- Experience with developing web services.
- A commitment to maintaining extreme rigor in all job-related activities.
Nice to have:
- Previous experience working with language models or other similar NLP technologies.
- A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
- Strong engineering skills, including experience in developing large distributed systems or high-load web services.
- Open-source projects that showcase your engineering prowess.
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?
Apply to Nebius
Senior ML Engineer (Token Factory)
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
Token Factory is a part of Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference & fine-tuning platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to train & deploy at massive scale.
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Advanced Fine-Tuning: Enhancing fine-tuning methodologies - both LoRA-based and full-parameter - for cutting-edge LLMs (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-4.7), focusing on both model quality and training efficiency.
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Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. This involves building model training and evaluation pipelines in JAX for speculative decoding, experimenting with architectures (dense/MoE, auto-regressive/parallel), and deriving scaling laws to guide resource allocation.
- Low Precision Training & Inference: Investigating low-precision (FP8, NVFP4/MXFP4) methodologies for supervised fine-tuning and reinforcement learning - spanning both inference and training - optimized for modern hardware
We expect you to have:
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A profound understanding of theoretical foundations of machine learning and reinforcement learning.
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Deep expertise in modern deep learning for language processing and generation
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Experience with training large models on multiple computational nodes
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Reasonable understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)
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Strong software engineering skills (we mostly use Python)
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Deep experience with modern deep learning frameworks (we use JAX)
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Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing
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Strong communication and leadership abilities
Nice to have:
-
Previous experience working with language models or other similar NLP technologies.
-
Familiarity with important ideas in LLM space, such as MHA, RoPE, ZeRO/FSDP, Flash Attention, quantization
-
A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
-
Strong engineering skills, including experience in developing large distributed systems or high-load web services.
-
Open-source projects that showcase your engineering prowess
-
Excellent command of the English language, alongside superior writing, articulation, and communication skills.
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?
Apply to Nebius
Principal Engineer, Infrastructure Platforms
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.
*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
GitLab is seeking a Principal Engineer to set technical direction for our most critical infrastructure platforms. This role operates at organizational scale, owning architecture, solving complex systems problems, and driving initiatives that shape how GitLab grows, performs, and remains reliable.
As a Principal Engineer, you will serve as a technical authority and force multiplier, leading architectural decisions across distributed and cloud-native systems to translate business strategy into durable technical direction. Spanning multiple teams and domains, you will bring clarity to ambiguity, raise engineering standards, and mentor senior talent while remaining accountable for real production outcomes. This is a hands-on, high-impact role for leaders who drive success through influence and shape the foundational platforms that the entire organization depends on.
Organizational Focus Areas
Principal Engineers at GitLab drive strategy across our most critical infrastructure and delivery groups. Role placement across the following tracks is determined by business need and organizational priority.
Group Tenant Scale (GTS)
This track builds GitLab’s next generation, multi-tenant, horizontally scalable, and resilient SaaS platform. You will architect the foundations that enable other engineering teams to build upon this platform and drive convergence among GitLab’s various platforms..
- Core Focus: Lead the design and evolution of projects that enable our distributed, multi-tenant SaaS transformation, including Cells, Organizations, and OrgMover.
- Distributed Architecture: Architect for zero downtime, transparent relocation, and application hardening in a massive distributed environment.
- Strategic Decisions: Guide architecture decisions with availability, reliability, resiliency, performance, and cost in mind.
GitLab Delivery
The GitLab Delivery track focuses on enhancing the reliability, efficiency, and speed of GitLab’s end-to-end software delivery across all platforms and offerings.
- Core Focus: Lead the platform strategy spanning Developer Experience, CI infrastructure, packaging, and release delivery across SaaS, Self-Managed, and Dedicated.
- Developer Experience: Treat GitLab engineers as customers, building self-service tooling, testing infrastructure, and paved paths that increase velocity while maintaining quality.
- Delivery at Scale: Architect reliable, automated pipelines that streamline how GitLab is packaged, released, and deployed across all platforms and offerings.
What You'll Do
- Own and drive the architectural direction for critical infrastructure platforms that support GitLab at global scale.
- Lead the design and evolution of large platforms and distributed systems that are scalable, resilient, secure, and cost-efficient.
- Serve as the technical authority on complex initiatives, guiding decisions that impact multiple teams and product areas.
- Translate business and product strategy into long-term technical roadmaps and execution plans.
- Drive alignment across engineering, product, and leadership by clearly communicating tradeoffs and recommendations.
- Establish technical standards and architectural patterns that raise quality and consistency across the organization.
- Be accountable for production outcomes, including reliability, performance, and operational excellence.
- Mentor senior engineers and act as a force multiplier through influence rather than direct authority.
- Operate effectively in ambiguous problem spaces where both the problem and the solution need to be defined.
What You'll Bring
- Proven experience designing and evolving large-scale platforms or distributed systems in cloud-native environments.
- Strong proficiency in Golang and/or Ruby, with the ability to contribute to, review, and guide core architectural changes in production codebases.
- Strong architectural judgment, including the ability to balance scalability, reliability, performance, security, and cost.
- Experience owning platform-level technical decisions that impacted multiple teams or an entire engineering domain.
- Solid understanding of Kubernetes-based environments as a production platform, including how they influence system design, deployment models, reliability, and operational complexity.
- Experience being accountable for production systems, not just design recommendations.
- Ability to author and drive long-term technical strategy and multi-month roadmaps.
- Track record of leading through influence and shaping technical direction without direct authority.
- Comfort making high-impact technical decisions, including build vs buy vs partner tradeoffs.
- Strong communication skills, with the ability to explain complex technical concepts to engineers, leadership, and non-technical stakeholders.
About the team
The Principal Engineer role sits within GitLab’s Infrastructure Platforms organization, working across multiple teams to shape how our platform scales and operates. This group is responsible for some of GitLab’s most critical systems, including the multi-tenant SaaS platform, core delivery pipelines, and the underlying infrastructure that powers millions of users. As a Principal Engineer, you’ll define technical direction, guide architectural decisions, and ensure our platforms remain resilient, performant, and modern. The team operates fully remotely and collaborates asynchronously across time zones, grounded in GitLab’s values of transparency, autonomy, and open communication. You’ll help the organization tackle complex distributed systems challenges at scale while mentoring other engineers and building a culture focused on reliability, efficiency, and continuous improvement.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
How GitLab Supports Full-Time Employees
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
- Home Office Support
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
Ready to apply?
Apply to GitLab
Senior Site Reliability Engineer — Token Factory (Inference Platform)
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.
Token Factory is a part of Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale. To deliver on that promise, we need an engineer who can make the platform behave flawlessly under extreme load and recover gracefully when the unexpected happens.
In this role you will own the reliability, performance, and observability of the entire inference stack. Your day starts with designing and refining telemetry pipelines — metrics, logs, and traces that turn hundreds of terabytes of signal into clear, actionable insight. From there you might tune Kubernetes autoscalers to squeeze more efficiency out of GPUs, craft Terraform modules that bake resilience into every new cluster, or harden our request-routing and retry logic so even transient failures go unnoticed by users. When incidents do arise, you’ll rely on the automation and runbooks you helped create to detect, isolate, and remediate problems in minutes, then drive the post-mortem culture that prevents recurrence. All of this effort points toward a single goal: scaling the platform smoothly while hitting aggressive cost and reliability targets.
Success in the role calls for deep fluency with Kubernetes, Prometheus, Grafana, Terraform, and the craft of infrastructure-as-code. You script comfortably in Python or Bash, understand the nuances of alert design and SLOs for high-throughput APIs, and have spent enough time in production to know how distributed back-ends fail in the real world. Experience shepherding GPU-heavy workloads — whether with vLLM, Triton, Ray, or another accelerator stack — will serve you well, as will a background in MLOps or model-hosting platforms. Above all, you care about building self-healing systems, thrive on debugging performance from kernel to application layer, and enjoy collaborating with software engineers to turn reliability into a feature users never have to think about.
If the idea of safeguarding the infrastructure that powers tomorrow’s multimodal AI energizes you, we’d love to hear your story.
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?
Apply to Nebius
Senior Solutions Engineer (Pre-Sales) - Healthcare & Life Sciences
FEQ227R311
At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.
As a Senior Solutions Engineer in the HLS (Healthcare & Life Sciences) Benelux Field Engineering team, you will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.
Join us in our quest to change how people work with data and make a better world!
The impact you will have:
- Form successful relationships with HLS clients in your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
- Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
- Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
- Become a Big Data Analytics advisor on aspects of architecture and design.
- Support your customers by authoring reference architectures, how-tos, and demo applications.
- Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.
What we look for: (Note - you do not need to fulfil every single requirement to be a strong candidate. We are interested in your curiosity and willingness to learn. If you are excited about this role and have relevant/transferable experience, we encourage you to apply!)
- Strong aptitude and familiarity working with clients, creating a narrative, aligning the agenda based on business priorities, and achieving tangible outcomes.
- Experience in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to context switch in levels of technical depth.
- Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.
- Proficiency with Artificial Intelligence, AI Agents, and Big Data Analytics technologies, including hands-on expertise with sophisticated proofs-of-concept and public cloud platform(s). Experience diving deeper into solution architecture and Data Engineering.
- Experience with cloud platforms (e.g., Databricks, AWS, Microsoft, GCP, or other relevant platforms) and certifications will be advantageous.
- Coding expertise in a core programming language (i.e., Python, Java, Scala). A foundational understanding of Apache Spark architecture is preferable; hands-on skills will be advantageous for the role. We will be testing your ability to utilise AI-assisted tools through our hiring process!
- Excellent communication skills in English are required as a minimum. Business-level proficiency in Dutch is highly preferred for the role.
Notes on the role:
- This will be an office-based contract (Amsterdam), with a hybrid schedule.
- An initial 12-month fixed-term contract is to be offered, with the expectation of extending/converting to FTE upon successful completion of the probation period.
#LI-hybrid
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
Senior Software Engineer, Core Experiences - Utrecht, Netherlands
Mission
Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.
What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.
Overview
We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.
What You’ll Do
- Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
- Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
- Ship cloud functions, lightweight backend services, and jobs using Kotlin
An Ideal Candidate Should Have
- Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
- Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
- Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
- Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
- Preferred Tech Stack:
- Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform)
- Prior experience with GCP is a plus
What We Offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Software Engineer, Data Infrastructure & Acquisition - Rotterdam, Netherlands
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You’ll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Software Engineer, Data Infrastructure & Acquisition - Utrecht, Netherlands
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You’ll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Software Engineer, Data Infrastructure & Acquisition - The Hague, Netherlands
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You’ll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Senior Software Engineer, Core Experiences - Amsterdam, Netherlands
Mission
Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.
What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.
Overview
We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.
What You’ll Do
- Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
- Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
- Ship cloud functions, lightweight backend services, and jobs using Kotlin
An Ideal Candidate Should Have
- Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
- Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
- Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
- Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
- Preferred Tech Stack:
- Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform)
- Prior experience with GCP is a plus
What We Offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
About the Company
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.
Ready to apply?
Apply to Armada
About the Company
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?
Apply to Armada
Software Engineer, Data Infrastructure & Acquisition - Amsterdam, Netherlands
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You’ll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
What You’ll Do
- Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
- Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
- Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
- Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience
An Ideal Candidate Should Have
- Proven experience in backend development: TS/Node (required)
- Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
- Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
- Preferred: Experience with Docker and containerized deployments
- Preferred: Proficiency in deploying high availability applications on Kubernetes
What We Offer
- A dynamic environment where your contributions shape the company and its products
- A team that values innovation, intuition, and drive
- Autonomy, fostering focus and creativity
- The opportunity to have a significant impact in a revolutionary industry
- Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
- The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
- An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Senior Technical Product Manager - Serverless AI
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.
We are looking for a Senior Technical Product Manager to join the Serverless AI product team. Together you will divide ownership across the product surface — but individually, you will own your areas with full autonomy. This is not a role where you write requirements and hand them off. You will be the person who understands container runtimes, GPU scheduling, cold start optimization, and inference serving deeply enough to make correct technical trade-offs — and also the person who talks to customers, shapes the CLI experience, defines pricing, and drives adoption.
We are building the next generation of AI cloud — infrastructure designed from the ground up for GPU-intensive workloads, not retrofitted from legacy cloud. This is a lean, high-impact team where every person shapes the product directly. You need to be the kind of PM who amplifies engineering output by making the right calls on what to build and what to skip.
What success looks like in 12 months:
- Serverless AI has clear product-market fit with measurable activation and retention metrics improving quarter over quarter.
- Multi-node jobs and autoscaling endpoints are shipped and adopted by customers running production workloads.
- Cold start time is reduced from 1-3 minutes to under 60 seconds for common workloads through a combination of product and infrastructure improvements you drove.
- Developer experience (CLI, docs, error messages, onboarding flow) sets the standard that developers expect from a next-generation AI cloud.
- At least 3 product decisions you made are directly attributable to customer conversations or data analysis you conducted.
1. Product Ownership
- Co-own the Serverless AI product roadmap — Jobs, Endpoints, and DevPods — taking primary ownership of specific product areas while collaborating closely with the other PM on shared priorities and cross-cutting decisions.
- Write detailed, technically precise PRDs that engineering teams can execute against. Our PRDs specify CLI syntax, API contracts, state machines, and billing models — not abstract feature descriptions.
- Make build/buy/defer decisions on capabilities like autoscaling, multi-node orchestration, HTTPS termination, secret injection, and health checking based on customer signal and strategic priorities.
- Understand the full workload lifecycle: container image pull → VM provisioning → GPU attachment → workload execution → cleanup — well enough to identify bottlenecks and propose solutions.
- Evaluate technical trade-offs in areas like container cold start optimization (image caching, snapshot restore, warm pools), GPU scheduling and bin-packing, and storage mount performance.
- Work directly with engineers on architecture decisions for distributed training support, endpoint autoscaling policies, and fault tolerance mechanisms.
- Stay current on the fast-moving serverless GPU infrastructure space — new inference frameworks (vLLM, TensorRT-LLM, SGLang), container runtimes, orchestration approaches — and translate trends into product direction.
- Run customer discovery and feedback sessions with ML engineers and platform teams at AI startups and enterprises. Turn qualitative insight into specific product actions.
- Analyze usage data, activation funnels, and churn patterns to identify where users get stuck and what features drive retention.
- Track market dynamics, emerging technologies, and industry trends to inform product strategy and ensure Nebius stays ahead of where the market is heading.
- Define and iterate on pricing, packaging, and tier strategy for Serverless AI.
- Own the technical content strategy: quickstart guides, tutorials, reference architectures, and example workloads that reduce time-to-first-job.
- Partner with marketing on developer-focused campaigns, webinars, and conference presence.
- Work with Solution Architects and Sales to qualify serverless-fit opportunities and support technical evaluations.
Non-negotiables — you must have hands-on experience with:
- You have built, shipped, and iterated on infrastructure or platform products used by developers or ML engineers. Not consumer apps. Not dashboards. Infrastructure.
- You understand containers at a practical level — Docker, image registries, container runtimes, resource limits, networking. You've debugged why a container won't start, why GPU isn't visible inside it, or why a mount isn't working.
- You have working knowledge of GPU computing for AI/ML: what GPU types exist and when to use them, how training and inference workloads differ in resource requirements, what vLLM / TensorRT-LLM / Triton are and why they matter.
- You can read a CLI reference and know if it's well-designed. You've shaped developer-facing APIs, CLIs, or SDKs.
- You have run real customer discovery — not surveys, but technical conversations with engineers where you learned something that changed your product direction.
- You have 3+ years of product management experience in cloud infrastructure, AI/ML platforms, or developer tools.
- Ability to whiteboard a workload lifecycle (submit → schedule → provision → execute → cleanup) and identify failure modes at each step.
- Understanding of autoscaling trade-offs: scale-to-zero vs. warm pools, scaling metrics (queue depth, latency, utilization), cold start implications.
- Familiarity with inference serving concepts: batching, model loading, quantization, KV-cache management, multi-model serving.
- Understanding of distributed training concepts: data parallelism, model parallelism, communication overhead, checkpointing.
- Ability to reason about pricing models: per-second vs. per-request vs. per-token, and how pricing interacts with product architecture.
- Experience at a serverless or GPU cloud company.
- Hands-on ML engineering background — you've trained models, deployed inference endpoints, or built ML pipelines yourself.
- Experience with Kubernetes for ML workloads (Kubeflow, KServe, Ray Serve) and understanding of why many ML teams want to avoid it.
- Prior experience building a product from early stage to scale in a fast-growing market.
- Background in systems engineering, distributed systems, or site reliability engineering.
- You are more comfortable in a terminal than in a slide deck.
- You form strong opinions based on data and direct customer signal, and you update them when evidence changes.
- You are energized by building at pace — small team, fast-evolving product, big opportunity.
- You care about developer experience at the level of error messages, CLI flag naming, and documentation quality.
- You'd rather ship a smaller thing that works perfectly than a bigger thing that's mediocre.
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. 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?
Apply to Nebius
Senior Software Engineer
If you’re a proactive, problem-solving team player who likes to take ownership of your work, this could be the job for you. As a senior member, you not only bring an abundance of expertise to your team, but you also know how to inspire, uplift and bring out the best in your colleagues. Always striving for continuous improvement, you adapt to change easily and are always eager to learn. In a flat organization like Suitsupply, there are ample opportunities to broaden your horizons by moving between different teams, and strengthen your skill set within the wider organization. Suitsupply is growing in every aspect IT-wise, and therefore, we're looking for Senior Software Engineers to join us on the journey of becoming the global tailoring expert.
What you will do:
- Build new applications and services and refactor existing ones, using a variety of Azure resources, like Azure Service Bus, Azure Functions, Cosmos DB & Azure table storage, ARM Templates and many more
- Create, maintain and improve CI/CD pipelines
- Write unit tests and keep an eye on code quality
- Write and maintain documentation
- Depending on the team you will join, your scope might include integrations with 3rd party providers (e.g. Supply Chain & Warehouse Management Systems, OMS, POS, Salesforce Service Cloud or Commerce Cloud, Appointment scheduling, Workforce Management, ERP Microsoft Dynamics, WeChat etc)
- Work in an environment that embraces AI-tools to streamline development processes, with opportunities to expand your experience in the field.
Who you are:
- IT education, Computer Science or Software Engineering
- 5+ years of experience with C#, .Net
- Experience with DDD, Microservices, Azure, Web API’s, ServiceBus, Messaging queue, Unit testing and Git
- Mentality: team player, eager to learn, striving for continuous improvement
- Strong ownership
- Nice to have: Experience working with AI-powered development tools like CursorAI, GitHub Copilot or other similar tools.
What you will get:
- Autonomy: We empower you to take ownership, make meaningful decisions, and drive impact without layers of sign-off.
- Growth: We see your potential as a key asset. At Suitsupply, you’ll have abundant opportunities to learn, grow, and excel in a supportive environment that encourages development at every step.
- Corporate Social Responsibility: Our commitment to sustainability and ethical business is unwavering. We work exclusively with suppliers who uphold the highest standards, in alignment with the International Labour Organization.
- Style: Immerse yourself in a world of beautifully crafted, high-quality products, and enjoy a 40% discount on Suitsupply products.
- Exposure to AI-tools and technologies, with opportunities to gain hands-on experience and grow your expertise in integrating AI into your development processes. Suitsupply provides licenses for tools like CursorAI and GitHub Copilot to enhance your productivity
Ready to apply?
Apply to Suitsupply
Technical Product Manager - Soperator
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
At Nebius, we’re building a next-generation AI compute platform for large-scale ML training and inference — from a few nodes to thousands of GPUs.
We’re looking for a Technical Product Manager to own product direction for Soperator — our Slurm-on-Kubernetes control plane for GPU clusters.
In this role, you will shape how ML engineers and research teams run, scale, and optimize distributed workloads in production.
If you care about systems that combine performance, reliability, and developer experience at the frontier of AI infrastructure, this role is for you.
Your responsibilities will include:
• Own the full user journey across Soperator clusters: Slurm workflows, dashboards, alerts/notifications, node lifecycle, and training/inference capacity management.
• Define product direction end-to-end: problem discovery → solution design → delivery → adoption.
• Lead deep customer discovery through interviews, usage analytics, and workload analysis to uncover high-impact opportunities.
• Drive execution across platform teams: compute, networking, storage, observability, IAM and etc.
• Translate frontier ML and infrastructure ideas into practical product capabilities for real-world GPU clusters.
• Define success metrics, prioritize roadmap decisions with data, and ensure measurable customer/business impact.
• Lead the open-source strategy and execution for Soperator: shape public roadmap themes, prioritize OSS-facing capabilities, and ensure strong adoption in the community.
We expect you to have:
• 3–5+ years in Product Management, ML infrastructure/MLOps, distributed systems, or cloud platform engineering.
• Strong technical depth in distributed systems, cloud infrastructure, or ML platforms.
• Hands-on familiarity with large-scale ML training and orchestration tools (e.g., Slurm, Kubernetes, Ray).
• Track record of shipping technically complex products with multiple engineering teams.
• Strong communication and stakeholder management across engineering, research, and customers.
• Experience with product analytics, data-informed prioritization, and experimentation.
• High ownership, high learning velocity, and comfort operating in fast-moving AI infrastructure environments.
It will be an added bonus if you have:
• Experience with GPU platforms and HPC primitives: InfiniBand/RDMA, topology-aware scheduling, high-throughput storage.
• Practical understanding of modern ML training stacks: PyTorch, DeepSpeed, FSDP/ZeRO, NCCL.
• Familiarity with efficiency and reliability metrics: Goodput, MFU, failure modes, preemption handling, health checks.
• Exposure to large-scale LLM training/inference systems.
• Experience in observability, performance tuning, or SRE/reliability engineering.
• Customer-facing technical experience (solutioning, support, architecture advisory).
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. We’re growing and expanding our products every day.
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?
Apply to Nebius
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 building our L3 Support Line from scratch to serve as the datacenter center of expertise for servers, firmware (BIOS/BMC), and deep Linux diagnostics across Europe and the US.
This is a senior technical role focused on deep investigations, cross-site pattern detection, and driving permanent fixes with R&D and ODM vendors. You will turn complex incidents into scalable solutions and elevate L1/L2 capabilities through strong technical enablement.
You’re welcome to work in our office in Amsterdam, the Netherlands.
Your responsibilities will include:
Deep Technical Investigation (Primary Focus)
-
Lead root cause analysis beyond L2 depth (GPU failures, firmware issues, Linux-level faults, HW/SW interactions).
-
Detect recurring patterns across sites and convert findings into durable fixes.
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Own technical workstreams during high-severity incidents.
Vendor & R&D Collaboration
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Build evidence packs and drive escalations with ODM and R&D.
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Push for firmware, component, and platform-level resolutions.
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Track outcomes and ensure knowledge flows back to operations.
Firmware & Platform Readiness (BIOS/BMC)
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Support validation and rollout of firmware updates (risk assessment, staging, rollback planning).
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Help operationalize platform standards across datacenters.
Knowledge & Enablement
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Create scalable runbooks, troubleshooting guides, and error catalogs.
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Turn investigations into playbooks that elevate L1/L2 teams.
Hands-on Support (As Needed)
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Travel to datacenters for complex troubleshooting, new platform readiness, or incident containment.
We expect you to have:
-
Strong hands-on experience with datacenter servers and deep Linux troubleshooting.
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Ability to diagnose across hardware, BIOS/BMC firmware, and Linux (logs, drivers, storage basics, performance triage).
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Structured incident response experience and clear communication under pressure.
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Experience driving evidence-based escalations with vendors/R&D.
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Fluent English (written and spoken).
It will be an added bonus if you have:
-
Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, Linux logs correlation).
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Experience with ipmitool and Redfish workflows, firmware lifecycle, and staged rollouts.
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Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis.
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Exposure to OCP-based platforms and ODM manufacturing ecosystems.
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Experience supporting enterprise bare metal customers under contractual SLAs.
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?
Apply to Nebius
Senior Software Engineer (Storage Virtualization Team)
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’re looking for a Senior Backend Engineer to join our Storage Virtualization Team, building a distributed, fault-tolerant storage system for Nebius’ hyperscaler cloud.
You’ll work on high-performance block and filesystem storage that delivers sub-millisecond latency, millions of IOPS and terabytes per second of throughput, even in the face of hardware failures.
- Virtualization: virtio-blk and virtio-fs, QEMU and vhost-user, performance-critical I/O paths
- Networking: high-throughput VM-to-storage transport over TCP and RoCEv2 (RDMA)
- Storage systems: replication, consensus, self-healing, and data migration
- 6+ years of professional software engineering experience
- Strong knowledge of C++
- Solid understanding of algorithms and data structures
- Basic knowledge of operating system internals (I/O, memory, scheduling)
- Ability to write reliable, maintainable code and debug complex systems
- Team-oriented mindset and fluency in English
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.
Ready to apply?
Apply to Nebius
Senior Software Engineer (YDB Team)
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 YDB Development Team at Nebius is looking for Mid and Senior Software Developer with a strong expertise in C++.
YDB is an open-source product that serves two main purposes within Nebius:
- A scalable and reliable binary object storage foundation powering S3 Object Storage, Filestore, Network Block Storage Tailored to process AI- related Workloads
- A distributed relational database and message broker supporting Nebius cloud operations such as IAM, Billing, Audit Trails and Logging
How You Will Change the World with Us
- Adapt YDB to leverage modern hardware to its fullest potential: QLC NVMe drives, Dual 800Gb/s network adapters, BlueField DPUs
- Maximize performance on widely used devices such as HDDs and TLC NVMe
- Reengineer YDB components with more efficient algorithms to solve complex system challenges
Requirements
- 5+ years of experience in C/C++ programming for highly loaded systems
- Understanding of core dumps, flamegraphs, and sanitized builds
- Experience developing high-performance, low-latency components
- Understanding of CPU caches, Modern CPU atomic operations and NUMA architectures
Nice to Have
- Experience with on-disk data structures (LSM trees, B+ trees)
- Hands-on experience with debugging and profiling tools such as perf, VTune, bpftrace, gdb
- Knowledge of storage-related algorithms (erasure coding, checksumming)
- Understanding of storage device internals (NVMe, HDD)
- Familiarity with Linux kernel, SPDK/DPDK, libaio, io_uring
- Knowledge of networking concepts and protocols (IP, TCP, UDP, DNS, ideally InfiniBand, RoCE/RDMA)
- Experience with Kubernetes and Grafana
- Track record of active participation in incident resolution
- Experience designing production-grade distributed storage components
- Knowledge of availability and durability calculations
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.
Ready to apply?
Apply to Nebius
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
Our CloudGate team is responsible for the software side of external network connectivity in our Cloud. We're building a traffic delivery system for a variety of scenarios: IPv4 connectivity, Cloud Interconnect, Egress NAT, and a network load balancer. They serve tens of millions of packets per second.
We have a control plane microservice architecture with gRPC transport and our own Database as our data warehouse.
What we do:
- Increase service scalability
- Developing service functionality with support for service endpoints and expansion of health check types
- Improve the internal architecture, optimizing interaction with related services
In this position, your responsibility will be to:
- Developing a data plane for Nebius Cloud network services
- Improve service performance and reliability
- Automate complex cross-service interaction scenarios
- Perform load testing for services
We expect you to have:
- Capable of writing reliable, high-performance code
- Proficient in C and ready to learn Go/C++
- Familiar with routing network traffic
It would be an added bonus if you had:
- Worked with VPP, DPDK, and the Linux kernel network subsystem
- Well-versed in virtual networks and overlays, SDN, NFV, DPI, network protocols, routing and tunneling, BGP, and MPL
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.
Ready to apply?
Apply to Nebius
Senior System Engineer (Virtual Private Cloud Team)
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
The VPC (Virtual Private Cloud) team builds and operates the core networking layer of our cloud platform. We enable virtual machines to communicate reliably by abstracting them from the underlying physical network, providing seamless IP-based connectivity even as workloads move across the datacenter.
Our team designs secure, isolated private networks for customers, connects them to the public internet, and delivers essential networking services such as load balancers, firewalls, and security groups. Because nearly every cloud application depends on networking, VPC is a foundational service for the entire platform.
Stability and resilience are our top priorities—we engineer systems to remain reliable and operational even when parts of the cloud experience failures.
What we do:
- Increase service scalability
- Developing service functionality (e.g. IPv6 support, service endpoints, VPC peering, L7 load balancers and other networking services)
- Improve the internal architecture, optimizing interaction with related services
In this position, your responsibility will be to:
- Develop control & data plane for Nebius Cloud network services
- Improve service performance and reliability
- Automate complex cross-service interaction scenarios
- Perform load testing for services
We expect you to have:
- Capable of writing reliable, high-performance code
- Proficient in C/C++ or Go and ready to learn both.
- Familiar with routing network traffic
It would be an added bonus if you had:
- Worked with VPP, DPDK, and the Linux kernel network subsystem
- Well-versed in virtual networks and overlays, SDN, NFV, DPI, network protocols, routing and tunneling, BGP, and MPL
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.
Ready to apply?
Apply to Nebius
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.
We are looking for a Senior Systems HPC Engineer to play a key role in building our hyperscaler platform, working across its core components while analyzing and optimizing the performance of large-scale GPU clusters at the intersection of hardware and software.
You will operate across the full stack—from hardware and system software to networking (InfiniBand/RoCE), virtualization (KVM/QEMU), and distributed communication layers (e.g., MPI, NCCL).
In this role you will
- Focus on understanding system behavior across multiple layers, identifying performance bottlenecks, and driving improvements that shape how our clusters are built, operated, tuned, and validated.
- Investigate and troubleshoot performance issues of GPU cluster under real workloads (training and inference)
- Evaluate and integrate new hardware, system configurations and tuning approaches through software stack
- Support complex performance-related escalations from internal teams and customers
- Work closely with infrastructure, software engineering and hardware vendor teams (e.g. NVIDIA, Mellanox, Intel)
- Contribute to hardware and cluster qualification (acceptance), ensuring systems meet performance expectations
We expect you to have:
- 5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming).
- 3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning).
- In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems.
- Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python).
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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