Senior Software Engineer, Network Platform

🏢 Summary: Lead and grow a Forward Deployed Engineering team delivering production-quality AI integrations, reference architectures, and proofs of concept for an AI cloud platform. The role combines people leadership, technical architecture oversight, partner engagement, and hands-on prototyping across agentic AI, inference, infrastructure, and data systems. 🗂️ Requirements: 8+ years of hands-on AI application, ML systems, or AI infrastructure engineering experience, 2+ years of engineering team leadership or management experience, Deep practical knowledge of LLM APIs, inference runtimes, orchestration frameworks, vector databases, RAG architectures, and agentic pipelines, Hands-on experience with agentic frameworks, Strong Python programming and end-to-end AI prototyping skills, Experience defining reference architectures and technical patterns, Experience building API and developer-platform integrations, Ability to work with external partner engineering teams and internal product and engineering teams, Strong technical communication skills, Authorization to work in the country of application 📃 Skills: Python, LangChain, LangGraph, CrewAI, AutoGen, LLM, RAG, FastAPI, Flask, Docker, Kubernetes, Git, AWS, GCP, Azure, vLLM, SGLang, TensorRT-LLM, Transformers, Qdrant, Weaviate, Milvus, pgvector, CUDA, TensorRT, NeMo 🏢 Description: About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Nebius Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius builds the infrastructure serious AI teams run on - GPU clusters, inference runtimes, agent development environments, data pipelines - all of it purpose-built for the most demanding AI workloads. What we are now building is the ecosystem function that ensures the best AI companies choose to build on us, integrate with us, and stay. As Manager of Forward Deployed Engineering, you will lead a team of FDEs who sit at the intersection of solution architecture and hands-on engineering. You will set the technical bar, develop your team's craft, and ensure the work your team ships - integrations, reference architectures, and proofs of concept - is production-quality and strategically sound. You will also stay technically engaged: reviewing architectures, unblocking hard scoping problems, and occasionally prototyping yourself when the situation calls for it. You're welcome to work remotely in the United States. Your Responsibilities Will Include People & Team Leadership Hire, develop, and retain a team of Forward Deployed Engineers across ecosystem focus areas: agentic, inference, infrastructure, and data. Set clear expectations for technical quality and partner engagement; coach engineers toward those standards. Run structured 1:1s, provide direct and actionable feedback, and own the growth of each person on your team. Build a team culture where moving fast and building well are not in tension. Partner with Recruiting to define what great looks like for FDE roles and actively source candidates from the AI builder community. Technical Oversight & Architecture Review and elevate the technical work your team produces - integration architectures, proofs of concept, reference patterns, and partner scoping assessments. Serve as a technical escalation point for complex partner engagements; step in hands-on when needed. Maintain a high bar for what goes into the reference architecture library - not just what works, but what should be emulated. Stay current with the AI tooling ecosystem so you can guide your team's technical judgment, not just their output. Ecosystem Presence Represent Nebius at hackathons, in open source communities, and at technical events. Build in public - demos, reference architectures, and integrations that establish Nebius as the platform serious AI builders choose. Stay current with the AI tooling ecosystem - you know what shipped last week and what it means for our stack. Platform focus areas Depending on your background and mutual fit, you will focus on one or more of the following: Agentic - agent frameworks, memory systems, tool integration, orchestration, MCP, and guardrails Managed Inference - inference runtimes, model serving, optimization tooling, speculative decoding, and KV-cache routing IaaS / Managed Infrastructure - cloud-native integrations, GPU orchestration, and enterprise platform connectors Data - vector databases, retrieval systems, RAG architectures, data pipeline integrations, and synthetic data tooling Partner & Internal Stakeholder Engagement Engage directly with senior partner engineering leaders and founding CTOs; your team handles the working level, and you handle the strategic level. Translate what your team is seeing in the field into actionable product requirements for Nebius platform teams. Represent the FDE function in platform planning discussions as the technical voice of ecosystem integration. Work with ISV, SI, and field teams to scale solution adoption and drive revenue once integrations are ready. We expect you to have 8+ years of hands-on engineering experience in AI application development, ML systems, or AI infrastructure. 2+ years managing or leading a team of engineers, with a track record of developing technical talent. Deep working knowledge of the AI developer stack - LLM APIs, inference runtimes, orchestration frameworks, vector databases, RAG architectures, and agentic pipelines - built through shipping, not reading. Hands-on experience with agentic frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalent. Strong Python programming skills and comfort prototyping end-to-end AI systems quickly. Experience defining reference architectures and technical patterns - not just implementing them. Proven ability to move from idea to working prototype fast - you have shipped meaningful things under time pressure and found it energizing. Experience building integrations across APIs and developer platforms - you understand where the complexity actually lives. Comfort working across external partner engineering teams and internal Nebius Product and Engineering teams simultaneously. Strong technical communication - you can explain architecture decisions and integration findings to a founding CTO and a non-technical partner lead in the same day. It will be an added bonus if you have Experience with inference frameworks and optimization: vLLM, SGLang, TensorRT-LLM, speculative decoding, quantization, batching, and KV-cache routing. Familiarity with NVIDIA's software stack: CUDA, TensorRT, NeMo, or equivalent. Experience with multimodal AI models - vision-language, speech, or structured data. Won or placed at major AI hackathons in the past 12 months. Worked as a developer advocate, solutions engineer, or technical partner manager at a leading AI platform or developer tooling company. Been an early engineer at a YC-backed AI startup - you built the product under real constraints. Open source projects or public demos with meaningful community adoption. Proficiency with DevOps tools: Docker, Kubernetes, and Git. Preferred Technical Stack Languages - Python ML frameworks - vLLM, SGLang, TensorRT-LLM, Transformers, and OpenAI / Anthropic SDKs Agentic frameworks - LangChain, LangGraph, CrewAI, AutoGen, smolagents, or equivalent Vector databases - Qdrant, Weaviate, Milvus, and pgvector API and web frameworks - FastAPI and Flask DevOps - Kubernetes, Docker, and Git Cloud platforms - AWS, GCP, and Azure Key Employee Benefits Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) Plan: Up to 4% company match with immediate vesting. Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote Work Reimbursement: Up to $85/month for mobile and internet. Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Starting Base Compensation Range: $225,800 - $281,000 USD Benefits & Perks Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $225—$280 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's It Like To Work At Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

🏢 Summary: Partner Engineer role owning the technical relationship and joint product roadmap between Databricks and Microsoft Azure. The position drives cross-company engineering integrations, resolves dependencies, develops reference architectures, and enables field teams on Azure–Databricks solutions. 🗂️ Requirements: 10+ years in cloud solution architecture, partner engineering, or technical program management, Deep expertise in Microsoft Azure services and architecture patterns, Experience managing strategic technical partnerships with VP/C-level stakeholders, Hands-on ability to prototype integrations, debug complex issues, and validate technical feasibility, Experience with Python, SQL, infrastructure-as-code, and API integrations, Ability to manage complex multi-company engineering initiatives and drive consensus, Deep knowledge of the Databricks platform and Microsoft data/AI ecosystem, Strong technical communication and influence across product, engineering, and partner teams 📃 Skills: Azure, Databricks, Python, SQL, APIs, Infrastructure-as-code 🏢 Description: RDQ427R371 At Databricks , we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. About the Role We're seeking a Partner Engineer to own the technical relationship between Databricks Product/Engineering and Microsoft Azure. You will be the primary technical liaison managing our cross product roadmap, driving engineering integrations, and ensuring Databricks products work seamlessly within the Azure ecosystem. You will work directly with Azure Partner SAs, Product Managers, and engineering teams to align roadmaps, identify integration gaps, and accelerate feature delivery. This role reports to the Director of Partner Engineering and works closely with Databricks Product Management, Engineering, and Field teams. Impact you will have Own the Databricks-Azure product-to-cloud technical roadmap, serving as the primary interface between Databricks Product Management and Azure partner teams to ensure alignment on features, integrations, and co-innovation priorities. Track and drive resolution of cross-company dependencies and blockers, manage joint milestone timing with Azure teams, and own the coordination rhythms (recurring syncs, escalation paths) that keep both sides aligned through delivery. Drive engineering integration work between Databricks and Azure product teams coordinating cross-company technical initiatives from scoping through delivery. Create and maintain technical architecture artifacts showing "better together" integration patterns, holistic architecture diagrams, and reference implementations for Azure + Databricks solutions. Enable field teams with technical guidance on Azure-Databricks integration patterns, working with Solution Architects and Customer Success to accelerate Azure customer wins. What we’re looking for 10+ years of experience in cloud solution architecture, partner engineering, or technical program management roles, with deep expertise in Microsoft Azure services and architecture patterns. Proven experience managing strategic technical partnerships at VP/C-level, with ability to navigate complex multi-company engineering initiatives and drive consensus across organizations. Hands-on technical skills with ability to prototype integrations, debug complex issues, and validate technical feasibility of proposed solutions. Experience with Python, SQL, infrastructure-as-code, and API integration patterns. Demonstrated ability to manage high-stakes partner relationships where strategic interests diverge, including setting boundaries and managing expectations while preserving long-term partnership health. Deep knowledge of Databricks platform and Microsoft data/AI ecosystem Excellent communication and influence skills, with ability to translate technical requirements between Product Management, Engineering, and external partner teams. Preferred Prior experience in Partner Solutions Architect or Alliance Engineering roles at cloud providers (AWS, Azure, GCP) or major ISVs. Background working at or with Microsoft - understanding of Microsoft field organization, partner program structure, and decision-making processes. History of driving product-to-product integrations between major platforms. Familiarity with modern development workflows and AI-assisted development tools (Cursor, Claude Code, Codex). Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $150,200 — $206,450 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 2 Pay Range $150,200 — $206,450 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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. Applicant Privacy Notice