Solutions Engineer

• Design and build backend services for card transaction processing, fraud detection, and/or card program management
• Contribute to system architecture and technical decision-making with a focus on performance, fault tolerance, and maintainability
• Collaborate with cross-functional stakeholders (Product, Risk, Finance, Compliance) to deliver robust, compliant financial systems
• Write clean, observable, and well-tested code in a service-oriented architecture
• Participate in code reviews, incident response, and ongoing reliability improvements
• Help evolve our engineering practices, tools, and system designs as we scale

Senior Software Engineer, Card Solutions – Backend-Focused, Partner Integration

• Own the technical relationship with strategic partners as the primary interface to Nebius engineering and product
• Design and architect high-impact integration solutions, delivering clear joint customer value
• Build and maintain reference implementations and production-grade integrations
• Define enterprise-ready integration patterns (networking, security, compliance, observability)
• Translate partner and customer feedback into actionable product and roadmap requirements
• Enable partner teams through technical documentation, training, and demo environments
• Provide technical leadership in joint customer deployments, architecture reviews, and complex troubleshooting

Partner Solutions Architect

• Uncover and understand business and technical requirements.
• Design and architect technical solutions built on the Supabase platform.
• Work with customers to lead proof-of-value implementations.
• Provide regular customer engagements to answer complex questions, unblock adoption, and optimize scaled performance.
• Collaborate directly with customers to determine the technical scope of a proof-of-value.
• Set proof-of-value timelines, business outcomes, and success criteria.
• Actively guide new customers through an onboarding journey.
• Understand immediate custom goals as well as long-term customer opportunities.
• Deliver on synchronous and asynchronous engagements with Supabase customers.
• Serve as an internal champion for your customers and for the platform.

Customer Solution Architect – EMEA

• Partner directly with the founders in enterprise sales conversations as the technical expert
• Lead discovery sessions with CISOs and security teams to uncover needs, assess environments, and frame how our solution delivers measurable outcomes
• Design, run, and support proof-of-concepts (typically 2-week pilots) that showcase the ROI of autonomous vulnerability remediation
• Build trusted relationships with prospects by solving technical challenges and guiding them through onboarding
• Translate prospect feedback into clear insights for our product and engineering teams to shape roadmap and prioritization
• Develop reusable technical assets (demo environments, customer decks, PoC playbooks) to help scale future GTM efforts
• Serve as a founding member of the US team, helping to define our customer journey, processes, and culture from the ground up

• Lead technical architecture for large-scale Agentic AI platforms
• Define scalable cloud-native solution architecture
• Own architecture decisions across multiple engineering teams
• Review designs, code quality and implementation approaches
• Mentor architects and senior engineers
• Lead implementation of enterprise Agentic AI solutions
• Design production-grade architectures on AWS
• Ensure solutions meet enterprise requirements for: RBAC, Authentication, Authorization, SSO, Encryption, Audit logging, Compliance
• Work closely with DevOps teams around: CI/CD, Infrastructure as Code, Docker, Containerization, Cloud deployments

Agentic AI Solution Architect – AWS, GenAI

• Create technical content demonstrating how to effectively use computing workloads with VMs, GPU clusters, k8s, SLURM, Soperator, etc.
• Develop sample code, tutorials, and reference architectures showcasing best practices for cloud computing and ML infrastructure
• Create video tutorials and live coding sessions demonstrating effective use of Nebius cloud infrastructure
• Collaborate with academic partners (universities, e.g., Stevens, MIT) to understand their requirements and develop solution architectures that align with their needs: design and document Infrastructure as Code solutions, documentation, and technical how-to guides in collaboration with the Nebius Solutions Architect Team
• Act as a trusted advisor to our academic partners, providing technical expertise on GPU cloud technologies and best practices

AI Solution Architect – Educational Content Author

• Own the global Solutions Engineering function — setting vision, structure, and operating cadence for a distributed team across US and EMEA.
• Serve as a strategic partner to the CRO and Sales Leadership, co-owning deal strategy on enterprise and strategic accounts and participating in executive-level customer conversations.
• Design repeatable, high-impact demos, proof-of-concept frameworks, and technical narratives that bring Crescendo's Managed AI + Superhuman differentiation to life.
• Build and own the career framework, hiring strategy, onboarding, and professional development programs that make Crescendo SE a destination function.
• Own department metrics, capacity planning, and monthly and quarterly business reviews in a high-growth environment where each quarter raises the bar.
• Define and iterate the playbooks by which the team delivers demos, conducts technical discovery, and translates customer signals into clear product insights that inform roadmap decisions.
• Collaborate with Product, Marketing, and Sales Enablement to develop customer-facing resources, competitive positioning, and scalable pre-sales assets.
• Ensure consistency and excellence across the global team through robust process design and enablement infrastructure.
• Build trusted advisor relationships with prospects, executives, and technical decision-makers to drive deal velocity, compress sales cycles, and support expansion.

VP of Solutions Engineering

• Define and implement architectural solutions that ensure the delivery speed and scalability of data pipelines, including the design and enforcement of the Medallion Architecture (or similar tiered structures)
• Lead the adoption of managed and serverless cloud offerings, in Fabric and other stacks, to create performant and scalable cloud-native application solutions
• Drive best practices for advanced ETL/ELT workflows, data governance, and data quality across platforms
• Serve as a technical leader, defining and enforcing data security and access control policies across all data pipelines and platforms
• Ensure robust systems across heterogeneous technology environments and BI integrations

Solutions Engineer jobs in Europe

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