Вакансии

Location: Bengaluru, India DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries. Our world-class team designs and engineers data-driven, cloud-native solutions to deliver immediate and enduring business value. We promote a culture of radical respect, prioritizing your personal well-being as much as your expertise. We stand firmly against prejudice and inequality, valuing each of our employees equally. We respect the autonomy of others before all else, offering remote, onsite, and hybrid work options. Our Learning and development centers, R&D labs, and mentorship programs encourage professional growth. Our long-term approach to collaboration with clients and colleagues alike focuses on building partnerships that extend beyond one-off projects. We provide the ability to switch between projects and technology stacks, creating opportunities for exploration through our learning and networking systems to advance your career. We are seeking a professional with a deep understanding of AI technologies and hands-on experience with generative AI, large language models (LLMs), LangChain frameworks, cloud services, and MLops, including model training and deployment practices. Strategically lead and advise on AI initiatives, ensuring alignment with the AI Lab and overall company objectives Work alongside diverse client teams to assess business requirements and design tailored AI solutions that integrate generative AI, LLMs, and MLops practices Present recommendations and proposals to current and prospective AI clients by showcasing innovative offerings and business value Lead and develop the Proof of Concepts (POCs) and Accelerator projects, incorporating advanced cloud integration and generative AI technologies Stay up to date on industry trends and advancements, fostering a culture of continuous learning and innovation within the team, and disseminating relevant insights to clients and internal groups Minimum of 4 years of practical experience in the implementation and leadership of AI/ML projects Practical experience in AI roles such as Consultant or AI Solution Architect Master’s/Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field Demonstrable hands-on experience implementing AI/ML solutions in a business context Proven experience with at least one major cloud platform (AWS, GCP, or Azure) Expertise in Generative AI/LLMs; candidates should be comfortable working with modern frameworks and tools such as LangChain A solid understanding of MLOps practices, including setting up model training pipelines, continuous integration/deployment, and monitoring ML models Strong communication and leadership skills to collaborate with cross-functional teams, present proposals, and manage stakeholder expectations

Location: Minnesota, United States 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 As a Data Center Technician , you will play a vital role in maintaining and optimizing the IT infrastructure within our data center. This includes working hands-on with modern technologies such as the advanced H200 GPU cloud cluster. Your responsibilities will include supporting the data center’s IT infrastructure by troubleshooting and resolving hardware issues, performing hardware and network diagnostics, carrying out physical repairs, and ensuring the smooth operation of critical systems. This is a shift-based role and may also require occasional travel between data center locations. You will work onsite in our Minnesota data center location. Your responsibilities will include: Diagnosing and resolving issues related to IT hardware and ensuring the continuous support of the data center's IT infrastructure across all compute, storage, and networking platforms. Collaborating effectively with internal teams and external contractors to address technical and operational challenges across the data center floor. Installing, upgrading, and decommissioning hardware based on operational requests, change requests, and project requirements. Managing and maintaining the connectivity of fiber optic cables, copper patch cords, and structured cabling in accordance with Nebius standards and documentation. Planning, executing, and monitoring regular IT tasks — including preventive maintenance, break/fix activities, and routine deployments — to maintain and improve data center infrastructure operations. Supporting the Return Merchandise Authorization (RMA) process by assisting with hardware identification, fault documentation, and coordination with the DC Diagnostic & RMA team, in accordance with established Nebius procedures. Developing and maintaining clear, accurate documentation including hardware configurations, troubleshooting guides, maintenance logs, and operational runbooks. Collaborating with cross-functional stakeholders including shift leads, infrastructure engineers, and DC management to ensure work is completed to standard and on schedule. Participating in shift-level technical tasks and project execution as directed by the Senior DC Technician or Lead DC Technician. Monitoring and reporting on the status of assigned work items, incidents, and hardware tasks through Nebius ticketing and operational systems. We expect you to have: Hands-on experience diagnosing and resolving server hardware issues in a production or enterprise data center environment. A solid understanding of data center operations, server architecture, and network equipment principles. Basic proficiency in the Linux operating system and familiarity with command-line tools for system identification, log review, and basic diagnostics. Practical experience working with server IT hardware, enterprise-grade network switches, and fiber optic cabling. Proficiency with standard documentation and productivity tools including spreadsheets, with the ability to maintain logs, records, and operational reports. A proactive, responsible, and quality-focused approach to work with a strong commitment to safety and process adherence. Core Physical Requirements: Ability to stand and remain on your feet for extended periods, typically four or more consecutive hours during active shift operations. Ability to safely lift, carry, and position equipment weighing up to 50 pounds unassisted, and heavier loads with appropriate team-lift protocols or mechanical aids. Comfortable working at heights including ascending and descending ladders, raised platform equipment, and elevated data center infrastructure. Ability to work in confined spaces such as under raised floors, within enclosed rack enclosures, and in cable management pathways. Comfortable working in environments with variable temperatures, including cold aisle containment zones and active cooling infrastructure. Manual dexterity sufficient to handle small form-factor components, precision cabling, and fine connector installations. Visual acuity sufficient to read equipment labels, small-form-factor interface indicators, and detailed wiring diagrams in variable lighting conditions. Ability to push or pull equipment carts, server sleds, and wheeled infrastructure weighing up to 500 pounds on level surfaces. It will be an added bonus if you have: Valid Driving License Project planning skills Compensation We offer competitive hourly rates, ranging from $30.00 – $45.00 per hour based on your experience. 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.

Location: New York; Stockholm; London Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal is hiring a high-impact Solutions Architect to drive technical strategy across our most strategic enterprise accounts. You will operate as the executive technical counterpart to Enterprise Account Executives, leading complex evaluations, shaping infrastructure modernization roadmaps, and driving multi-product adoption across AI/ML workloads. This role is not demo support. It is a strategic, consultative position requiring strong architectural depth, executive presence, and the ability to influence 7–8 figure infrastructure decisions. You will work directly with CTOs, VPs of Engineering, and ML platform leaders to help them rethink how AI infrastructure should be built and operated. If you thrive in high-velocity technical sales environments and want to shape the infrastructure layer powering modern AI companies, this role is for you. WHAT YOU’LL DO: - Own the technical strategy for large, complex enterprise accounts - Partner with Enterprise Account Executives to drive 6–7+ figure opportunities from qualification through close - Lead deep technical discovery across platform, ML, DevOps, and infrastructure stakeholders - Architect end-to-end migration strategies from AWS, GCP, or Azure to Modal’s serverless infrastructure - Drive executive-level technical conversations that connect infrastructure architecture to business impact (velocity, cost efficiency, reliability) - Design and oversee proof-of-concepts that demonstrate production-grade scalability and performance - Navigate security reviews, compliance discussions, and procurement processes with confidence - Build durable relationships with technical champions and executive sponsors - Orchestrate cross-functional virtual account teams (Sales, Product, Engineering, Support) to ensure successful adoption - Influence Modal’s product roadmap by surfacing structured enterprise feedback - Mentor other Solutions Architects and contribute to technical best practices across the team REQUIREMENTS: - 5+ years in Solutions Engineering, Sales Engineering, or enterprise-facing technical roles in infrastructure, cloud, or developer platforms - Demonstrated success driving complex enterprise sales cycles ($250K+ ACV; experience with $1M+ ARR accounts strongly preferred) - Experience working with large, sophisticated Bay Area technology companies or global enterprises - Deep expertise in cloud infrastructure (AWS, GCP, Azure) including compute, networking, storage, and managed services - Strong architectural understanding of containers and orchestration (Docker, Kubernetes) - Experience designing distributed systems and production data platforms - Strong working knowledge of ML/AI infrastructure (training pipelines, inference systems, GPU workloads, MLOps) - Experience leading cloud migration or infrastructure modernization initiatives - Familiarity with Infrastructure as Code (Terraform, Pulumi, CloudFormation) and CI/CD systems - Production programming experience in Python strongly preferred - Executive-level communication skills with the ability to influence technical and business stakeholders - Proven ability to lead cross-functional virtual teams in high-stakes account environments - Strong business acumen and understanding of enterprise procurement and buying processes - Willingness to travel up to 30%

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Product Manager for the Research team at Anthropic, you will own the ideation and deployment of new models and products as we advance frontier, safe AI technology. You will work closely with our research teams to help productize credible applied research and identify high-potential use cases grounded in customer needs. We are looking for someone passionate about developing safe and beneficial artificial intelligence technologies. You thrive in ambiguous environments and can uncover latent, non-obvious use cases for nascent technologies, bringing these insights back to research. Your curiosity about user needs enables you to connect advanced technology to products that deliver real-world value. We seek experienced founders and product managers who can bridge research and ambitious product experimentation, with the ability to create and grow entirely new product categories enabled by AI. Responsibilities: Lead vision, strategy, roadmap, and execution of frontier technologies that leverage the latest AI capabilities to solve real-world problems Partner with research to define, improve, and ship model capabilities within a research area Identify nascent research that could become transformative products Synthesize user insights into actionable requirements and evaluations Understand the AI landscape and ecosystem, ensuring we have an objective view of market capabilities and our position Work with and influence a diverse set of stakeholders, including research, product engineering, and platform engineering teams Minimum Qualifications You might be a good fit if you: Have a deep passion and curiosity for AI and LLMs. Use AI regularly. Are a first-principles thinker with the ability to navigate and execute amidst ambiguity, flexing into different domains based on the business problem at hand and finding simple, easy-to-understand solutions Possess a deep technical background with a strong grasp of AI/ML concepts and are willing to go deep on technical solutions; have a data-driven mindset with working proficiency in Python and SQL Have strong user empathy and the ability to synthesize vague or contradictory feedback into actionable priorities Have a track record of launching ambitious products that have achieved distribution or commercial success Have intellectual curiosity without ego—comfortable asking questions and learning independently Think creatively about the risks and benefits of new technologies, moving beyond past checklists and playbooks Have a creative, hacker spirit and love solving puzzles Preferred Qualifications Have 5+ years in product management, with experience launching new products and scaling existing ones (founder background is a plus) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Bengaluru, Karnataka, India; India 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 As a Sales Engineer, you will be part of our fast growing Go To Market organization and will play a crucial role in expanding our business and ensuring our clients understand and utilize our technology to its full potential. Your work will have a direct impact on our bottom line and customer satisfaction Requirements: Based in Bangalore Proven Sales Engineer experience in cloud, AI, or related tech fields. Exceptional presentation skills for conveying complex ideas in a compelling manner. In-depth knowledge of cloud tech, Kubernetes, and AI/ML concepts. Successful track record in building client relationships and exceeding sales goals. Excellent communication, negotiation, and problem-solving skills. Willingness to travel as needed. Fluency in scripting languages (Python, Bash, Powershell, etc.). Responsibilities : Guide sales teams with technical expertise to ensure clients grasp the value of our products. Conduct captivating product demonstrations, simplifying complex technology for diverse audiences. Customize and deliver persuasive presentations tailored to meet client needs. Evaluate client technical needs, proposing solutions and collaborating with technical teams for customization. Stay ahead of market trends, competitors, and customer needs to keep our solutions relevant and competitive. Represent Cast AI at conferences and trade shows, networking with potential clients and gathering market insights. What’s in it for you? Competitive salary. 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. Premium health insurance. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. 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. #LI-Remote

Location: Dhahran, Saudi Arabia; Bengaluru, India Eram Talent, a leading talent acquisition company, is on the lookout for a highly skilled Data & AI Architect to join our team in Saudi Arabia. The Data & AI Architect will be instrumental in designing and implementing data-driven solutions that leverage advanced analytics and artificial intelligence to empower business decisions across various projects in the region. This role requires a deep understanding of data architecture, data modeling, and AI/ML technologies. The architect will collaborate with cross-functional teams to ensure that the data architecture is robust, scalable, and aligned with the business strategies. This position offers an exciting opportunity to innovate and shape the future of data utilization within organizations. Responsibilities Own enterprise data architecture and extend it to AI and MLOps capabilities to enable trusted analytics and scalable AI delivery. Develop and implement a comprehensive data architecture strategy that supports business goals and AI initiatives. Design data models, database structures, and data flow processes to ensure data integrity, availability, and security. Design and oversee the implementation of advanced analytics solutions, including machine learning models and algorithms. Collaborate with data engineering and data science teams to ensure that data pipelines are efficient and aligned with AI/ML requirements. Establish best practices for data governance, data quality, and data lifecycle management. Support the selection and implementation of data management tools and technologies. Engage with stakeholders to understand their data needs and ensure that data solutions deliver maximum business value. Monitor trends in the data and AI landscape, refining strategies as necessary to drive continuous improvement and innovation. Requirements Education: Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field. Experience: 15+ years of experience in data architecture, data engineering, or AI/ML roles. Proven experience in designing and implementing data models and architecture in large-scale data environments. Experience with AI and machine learning frameworks, libraries, and tools. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark). Skills: Strong knowledge of database systems (SQL and NoSQL) and data warehousing concepts. Excellent analytical and problem-solving abilities. Strong communication skills, with the ability to convey complex data concepts to non-technical stakeholders. Ability to work collaboratively in a team-oriented environment.

Location: Chicago, IL Workplace: onsite Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Role Summary:   Filevine is seeking a Technical Recruiter to partner with and scale our R&D organization across Software Engineering, Reliability/SRE, QA, and Product Management. In this role, you will play a key part in accelerating our product roadmap by sourcing, engaging, and hiring talented technical professionals. We are looking for someone who understands technical nuance, communicates effectively with engineering managers, and brings a proactive, candidate-focused approach to technical talent acquisition. If you thrive in a collaborative environment and want to build high-performing engineering teams, we’d love to talk. Responsibilities Full-Cycle Recruiting: Own the recruiting lifecycle for technical roles across Engineering and Product—from kick-off intake meetings to offer acceptance. Proactive Sourcing: Build qualified, diverse candidate pipelines using LinkedIn Recruiter, GitHub, and creative sourcing strategies to engage talent for hard-to-fill technical roles. Hiring Manager Partnership: Collaborate closely with engineering managers and leaders to define role requirements, align on candidate specs, and establish realistic hiring timelines. Candidate Screening & Vetting: Conduct initial technical screenings to evaluate candidates’ backgrounds, technical domain fit, and alignment with Filevine’s team culture and values. Candidate Experience & Process: Drive a smooth, responsive candidate journey by maintaining clear communication, ensuring fast feedback loops, and keeping our ATS (Lever) up to date. Offer Management: Work alongside hiring managers and HR to structure competitive offers, walk candidates through equity and compensation, and navigate closing conversations. Qualifications 3–5 years of technical recruiting experience , preferably in a fast-paced SaaS, technology, or high-growth environment (agency or in-house). Solid Technical Understanding: Comfortable discussing technical concepts, programming languages, frameworks, and modern engineering team structures. Proven Sourcing Skills: Experience going beyond inbound applicants to proactively source, engage, and convert prospective candidates. Strong Stakeholder Communication: Ability to build trust with hiring managers, provide pipeline updates, and offer practical guidance throughout the hiring process. Organized & Goal-Driven: Ability to manage multiple active requisitions concurrently while maintaining high quality, organization, and attention to detail. Experience with Modern ATS: Hands-on experience using ATS platforms (Lever) and sourcing tools like LinkedIn Recruiter. Nice-to-Have Experience recruiting for SaaS, AI/ML, or product-led organizations. Exposure to both agency and in-house recruiting environments. Compensation Information: $80,000-120,000   The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package.   Filevine is an Equal Opportunity Employer. Qualifications for employment, promotion and other terms and conditions of employment are based upon the ability to perform the job. Equal-employment opportunities are provided to all applicants and employees without regard to race, creed, religion, color, age, national origin, sex, disability, veteran status, or other legally protected class. Filevine is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or accommodation due to disability, or if you have concerns related to Filevine’s equal employment opportunities, you may contact us at legal@filevine.com   Cool Company Benefits: A dynamic, rapidly growing company, focused on helping organizations thrive  Medical, Dental, & Vision Insurance (for full-time employees) Competitive & Fair Pay Enhanced Commuter Benefit: $75 monthly contribution to help cover your commute to 1 S Wacker Maternity & paternity leave (for full-time employees) Short & long-term disability Opportunity to learn from a dedicated leadership team Centrally located open office building in Chicago (1 S Wacker Dr) Top-of-the-line company swag   Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.   Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.

Location: Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Tel Aviv, Israel 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 The YDB Development Team at Nebius is hiring mid- and senior-level software developers with C++ expertise. YDB is an open-source platform with two roles within Nebius: Providing the binary object storage foundation for S3 Object Storage, Shared Filesystems and Network Block Storage Serving as a distributed relational database and message broker for services such as IAM, billing, audit trails and logging We operate YDB clusters in more than 10 regions using HDD and NVMe storage. Individual clusters span tens of thousands of nodes, manage hundreds of petabytes of data and deliver terabytes per second of throughput. Our infrastructure includes x86 and Arm-based systems, including NVIDIA GB300 nodes. What you’ll work on Evolve YDB’s architecture for new hardware, redesigning core components when incremental optimization is insufficient: QLC NVMe drives: increase storage density while controlling RAM/CPU consumption and write amplification Dual 800 Gb/s network adapters: reduce CPU overhead and memory bandwidth consumption to utilize the available NIC bandwidth NVIDIA GB300-based systems: ensure efficient operation on Arm-based hosts and offload storage and networking processing to BlueField DPUs Support high-capacity SMR HDDs by designing data placement, sequential writes, garbage collection and recovery around zoned-write constraints Develop wide erasure-coding schemes to reduce space aplimfication while maintaining durability and availability Reduce recovery and rebalancing times after device outages while limiting the impact on foreground workloads Prevent, detect and recover from silent data corruption across memory, networking and storage Provide the system capabilities and interfaces required by fleet-wide automation so that hundreds of production clusters can be deployed, configured, upgraded, diagnosed and operated consistently We move quickly and focus on delivering practical value. Features and optimizations merged into the production branch are typically deployed within weeks. You’ll see your work solving real problems in live clusters—not waiting years to make an impact. Requirements: 5+ years of professional experience developing high-load systems in C or C++. Candidates with 3+ years will also be considered if their experience includes relevant work on distributed storage systems Experience developing high-performance, low-latency software components Understanding of core dumps, flame graphs and sanitizer-enabled builds Understanding of CPU caches, atomic operations and NUMA architectures Nice to have: Experience designing and developing production-grade distributed storage systems and/or databases Experience with on-disk data structures such as LSM trees and B+ trees, and storage algorithms such as erasure coding and checksumming Understanding of NVMe, conventional HDD and SMR HDD internals Experience with debugging and profiling tools such as perf, VTune, bpftrace and gdb Familiarity with the Linux kernel, SPDK/DPDK, libaio and io_uring Knowledge of IP, TCP, UDP and DNS, and ideally InfiniBand or RoCE/RDMA Experience with Kubernetes and Grafana Experience responding to production incidents Knowledge of availability and durability calculations For Senior candidates , we offer hybrid working or the flexibility to work remotely within EU. 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.

Location: Mexico You Are passionate about technology, wake up every morning to experiment, learn and develop new solutions! About Us At DBSync we provide opportunities to use technology that creates innovative and next generation data integration products which helps our employees to cultivate their creativity and sense of belonging. DBSync is a leading provider for data integration and Data warehousing services for both cloud/SAAS-based-on-demand applications. We were incubated by Salesforce.com (as a part of Avankia), before getting spunned off as a separate company. DBSync provides data integration as a SAAS-based, Standalone or hosted integration at a competitive price with a plethora of benefits for business users. Our main motto is to provide a strong foundation for businesses in solving complex problems and automating their workflows while acting as a pillar of support for all their data integrations needs. At DBSync we encourage innovation and creativity and our team is diverse, comprising a nice mix of cultural blends. We are a family where each talent is recognised and honed for the best of the individual and the company as a whole. We maintain a very professional, learn and excel vision with a hint of a start-up-like environment making each individual feel important and responsible with an equal opportunity to grow to the sky’s limit! If you have a spirit of enthusiasm to grow beyond horizons, a determination to work hard, confidence to achieve success and influence future visions and products and be a successful part of the next gen trend,DBSync is the place for you! Our Value System 1. We genuinely care 2. We do not waste time on manual or mundane task 3. We have a fun environment 4. We own it 5. We are experts on what we do 6. We win together DBSync has been: We have been rated 4.7 / 5 on G2. We have got around 125 reviews in 2023. Based on the reviews G2 has awarded DBSync following badges: -Best Relationship- Winter 2024 -Leader Americas Winter 2024 -Best Results - Winter 2024 -Best Usability - Winter 2024 About the Role We're looking for a Solutions Sales Engineer to join DBSync. This is a hybrid role that sits between sales and delivery: you'll support the sales cycle through technical discovery, demos, and proof-of-concepts, and you'll work alongside our services team to scope and stand up integration solutions for Mid-Market and Enterprise clients. DBSync is an iPaaS company. Our value is reliable, maintainable integration between CRMs, accounting systems, and ERPs. The ideal candidate pairs strong integration and data fundamentals with the customer-facing skill to translate technical solutions into business value and uses AI and analytics to make those solutions smarter, not as a substitute for solid integration design. Roles and Responsibilities: Solution Design & Scoping: Work with sales and customers to understand source and target systems, data volumes, and sync requirements; design integration solutions and scope the work needed to deliver them. Technical Demos & POCs: Prepare and deliver demos, proof-of-concepts, and trials of DBSync integrations, showing how data flows and syncs across CRM, accounting, and ERP systems. Integration Delivery Support: Partner with the services team to build, configure, and validate integration workflows — field mapping, transformation logic, sync triggers, scheduling, and error handling. Data & Systems Expertise: Apply working knowledge of SQL, APIs, and the object models of common CRM and accounting/ERP systems to design integrations that hold up in production. Customer Engagement: Support clients through onboarding and adoption, troubleshoot integration issues, and recommend improvements. AI & Analytics Enablement: Where it adds value, layer AI-driven features (automation, predictive insight, conversational interfaces) onto integration solutions; identify where analytics can surface ROI for the customer. Feedback & Strategy: Gather client feedback, identify common patterns, and feed them back into product, templates, and sales positioning. Governance & Compliance: Ensure solutions meet data governance, security, and compliance standards. Enablement: Train sales teams on integration capabilities and how to position them; document solutions for repeatable delivery. Cross-functional Collaboration: Act as the bridge between customers, sales, engineering, product, and customer success from concept through operational delivery.s.. Skills and Qualifications: Required: Bachelor's degree in Engineering, Computer Science, Business, or a related field — or equivalent experience. 3+ years in technical sales, solutions/sales engineering, integration consulting, data management, or a related technical-customer-facing role. Hands-on knowledge of CRM systems (Salesforce, Microsoft Dynamics, HubSpot) and accounting/ERP systems (QuickBooks Online, QuickBooks Desktop, Microsoft Dynamics 365 Business Central, NetSuite, or Xero). Solid grasp of integration concepts: APIs (REST/SOAP), data mapping and transformation, sync logic, scheduling, and error handling. Proficiency with SQL and comfort working with APIs and tools like Postman. Excellent communication and customer-facing skills, with the ability to translate technical concepts into business value for non-technical stakeholders. Strong problem-solving, teamwork, and collaboration abilities. Fluency in English. Nice to Have: Experience with iPaaS or middleware platforms (DBSync, MuleSoft, Boomi, Workato, Celigo, etc.). Familiarity with AI tools and frameworks (LLMs, chatbots, predictive analytics, automation platforms) and how to apply them to integration and data workflows. Experience with BI/analytics tools (Power BI, Tableau). Scripting or automation experience (e.g., Python). Additional languages beyond English. Certifications in data analytics, AI/ML, or relevant CRM/ERP platforms. Work Shift: U.S. Shift (8:00 AM CST to 5:00 PM CST) Location: Mexico (Remote) For more information about DBSync, visit https://www.mydbsync.com Video: https://www.youtube.com/playlist?list=PLJzycdoERLoekPWNkXEsuih807TQAEnnB Requirements Benefits

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As a member of the AI Gateway Team, you will be responsible for developing and enhancing our AI Gateway platform, which provides a unified API for accessing hundreds of AI models from multiple providers. You will collaborate with a remote and distributed team of engineers to build reliable, low-latency systems that handle rate limiting, intelligent failovers, and seamless integrations, enabling developers to ship AI-powered applications without managing provider-specific complexities. This role focuses on ensuring production-ready reliability for AI workloads, including automatic fallbacks during outages and consistent performance across providers like OpenAI, Anthropic, Google, and more. What you'll do Contribute to the design, implementation, and maintenance of the AI Gateway platform, emphasizing features like unified API endpoints, rate limit management, and intelligent failover mechanisms to boost uptime and reliability. Write clean, efficient, and well-documented code, conducting thorough testing to ensure low-latency responses and stability for high-volume AI inference requests. Collaborate with cross-functional teams, including product managers, AI researchers, and infrastructure engineers, to integrate new AI providers and models while addressing scalability and performance challenges. Engage with the open-source community, contribute to AI SDK and related projects, and align with Vercel's ethos of fostering developer tools. Gather user feedback and analytics to drive innovations in AI Gateway, such as enhanced billing unification, provider-agnostic authentication, and analytics for usage insights. What you need 5+ years of relevant experience Strong proficiency in JavaScript/TypeScript and experience with backend development, APIs, and cloud infrastructure Experience with AI/ML integrations, API gateways, distributed systems, or handling high-throughput services (e.g., rate limiting, caching, failovers) Experience contributing to or participating in open source projects Excellent communication skills and the ability to work effectively in a collaborative team environment Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $196,000-$294,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. #LI-KR1 Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Amsterdam, Netherlands; Berlin, Germany 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 #LI-MM1 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. What You’ll Work On: 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 What We Expect: 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. 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.

Location: Amsterdam, Netherlands; Remote - Europe 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 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. Our team both develops the control-plane, written in Golang, and supports open-source based dataplane, written mostly in C. This makes us quite unique in that we both have high-level control plane tasks and low-level system research tasks, with different team members focusing more on one part or the other. What we do: Increase service scalability and reliability Develop the control & data plane for Nebius Cloud network services Develop 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 Debug datapath and kernel issues, including performance related issues Perform load testing for services We expect you to have : Capable of writing reliable, high-performance concurrent code Proficient in Go and able to read C/C++,  or be ready to learn both Familiar with routing network traffic It would be an added bonus if you : Worked with OVS, VPP, DPDK, Linux kernel network subsystem or other network dataplanes 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. #LI-JS1 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.

Location: Germany Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. As the Senior Technical Product Manager for Platform , you will own the product strategy for the shared services layer that powers Constructor's learning and research applications. You will drive the evolution of Platform capabilities - including identity, data infrastructure, AI/ML services, and developer tools - into a modular foundation. Your work enables internal teams and external partners to build and ship faster while maintaining enterprise-grade security, compliance, and global readiness. Duties and Responsibilities: Define and drive the product vision for a multi-instance, scalable foundation that supports SaaS and on-premise deployments Collaborate with application product teams to consolidate fragmented components and requirements into unified platform services Stay up-to-date with industry developments and technologies to inform Platform strategy Communicate Platform insights and recommendations to stakeholders and the leadership team Act as a point of contact for cross-functional teams and stakeholders Analyse performance data to identify areas for improvement and optimisation Collaborate with the development team to identify and prioritise new features and capabilities Drive a roadmap with dependencies across the wider organisation, balancing technical constraints with business needs Qualifications and experience: 5+ years of experience working as a program or product manager for a platform, SaaS infrastructure, or API products Computer Science or similar degree A strong technical background. You are comfortable discussing API design, architecture, and authentication flows. Excellent analytical and problem-solving skills Strong communication and collaboration skills Experience leading teams and working with cross-functional stakeholders Nice to Have: Experience with developer platforms or platform-as-a-service products Experience managing AI/ML infrastructure or platforms What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Bulgaria, Sofia Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. As the Senior Technical Product Manager for Platform , you will own the product strategy for the shared services layer that powers Constructor's learning and research applications. You will drive the evolution of Platform capabilities - including identity, data infrastructure, AI/ML services, and developer tools - into a modular foundation. Your work enables internal teams and external partners to build and ship faster while maintaining enterprise-grade security, compliance, and global readiness. Duties and Responsibilities: Define and drive the product vision for a multi-instance, scalable foundation that supports SaaS and on-premise deployments Collaborate with application product teams to consolidate fragmented components and requirements into unified platform services Stay up-to-date with industry developments and technologies to inform Platform strategy Communicate Platform insights and recommendations to stakeholders and the leadership team Act as a point of contact for cross-functional teams and stakeholders Analyse performance data to identify areas for improvement and optimisation Collaborate with the development team to identify and prioritise new features and capabilities Drive a roadmap with dependencies across the wider organisation, balancing technical constraints with business needs Qualifications and experience: 5+ years of experience working as a program or product manager for a platform, SaaS infrastructure, or API products Computer Science or similar degree A strong technical background. You are comfortable discussing API design, architecture, and authentication flows. Excellent analytical and problem-solving skills Strong communication and collaboration skills Experience leading teams and working with cross-functional stakeholders Nice to Have: Experience with developer platforms or platform-as-a-service products Experience managing AI/ML infrastructure or platforms What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Serbia, Belgrade Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. As the Senior Technical Product Manager for Platform , you will own the product strategy for the shared services layer that powers Constructor's learning and research applications. You will drive the evolution of Platform capabilities - including identity, data infrastructure, AI/ML services, and developer tools - into a modular foundation. Your work enables internal teams and external partners to build and ship faster while maintaining enterprise-grade security, compliance, and global readiness. Duties and Responsibilities: Define and drive the product vision for a multi-instance, scalable foundation that supports SaaS and on-premise deployments Collaborate with application product teams to consolidate fragmented components and requirements into unified platform services Stay up-to-date with industry developments and technologies to inform Platform strategy Communicate Platform insights and recommendations to stakeholders and the leadership team Act as a point of contact for cross-functional teams and stakeholders Analyse performance data to identify areas for improvement and optimisation Collaborate with the development team to identify and prioritise new features and capabilities Drive a roadmap with dependencies across the wider organisation, balancing technical constraints with business needs Qualifications and experience: 5+ years of experience working as a program or product manager for a platform, SaaS infrastructure, or API products Computer Science or similar degree A strong technical background. You are comfortable discussing API design, architecture, and authentication flows. Excellent analytical and problem-solving skills Strong communication and collaboration skills Experience leading teams and working with cross-functional stakeholders Nice to Have: Experience with developer platforms or platform-as-a-service products Experience managing AI/ML infrastructure or platforms What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Amsterdam, Netherlands 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. New data center development: We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment. The role The Field Structured Cabling Senior Technician is responsible for managing and controlling structured cabling activities on-site, ensuring installations are completed according to approved designs, specifications, and project schedules. This role serves as the main field interface between the design team, project managers, contractors, logistics, and vendors. The position is field-focused and plays a key role in translating design drawings into accurate, well-executed cabling installations while maintaining proper change control and documentation. You’re also welcome to work on-site at our office in Amsterdam , the Netherlands. Your responsibilities will include: Coordinate and control structured cabling activities from early project stages through deployment completion. Supervise and direct external contractors, including planning and controlling cable pull schedules in alignment with Project Managers and other infrastructure teams. Ensure cabling installations follow approved DWG drawings, specifications, cable routes, and quantities. Track cable pulls, routes, and completion status; document progress and any deviations. Apply minor layout updates directly in DWG files when required; escalate major design changes to the Structured Cabling Design team. Oversee installation of cable tray and containment systems based on project timelines and priorities. Maintain accurate field documentation and update tracking spreadsheets or deployment systems. Support as-built documentation by ensuring all field changes are captured. Coordinate with logistics teams and vendors to ensure timely delivery, handling, and staging of cabling materials, including large palletized deliveries. Act as the on-site point of contact for structured cabling-related coordination and issue resolution. We expect you to have: 2–3+ years of relevant field experience in structured cabling or telecommunications. Proven hands-on experience with structured cabling deployment (fiber and copper). Strong knowledge of fiber-optic infrastructure, including: Fiber patch panels Enclosures and fiber management systems Cassettes and distribution frames Ability to read, interpret, and apply AutoCAD / DWG drawings in the field. Experience supervising or coordinating contractors and field teams. Solid understanding of cable pathways, tray systems, and routing best practices. Experience with field documentation, cable tracking, and change control. Strong communication and coordination skills. Preferred Qualifications Participation in large-scale structured cabling projects, preferably in data center environments. Understanding of and hands-on experience working in data center environments, including operational, safety, and access requirements. Basic knowledge of network topologies and how structured cabling supports network and IT infrastructure. Hands-on experience working as part of a cable pulling team. Experience with high-density fiber environments and large cable volumes. Familiarity with structured cabling standards (TIA, ISO, BICSI). Nice to Have Knowledge of or exposure to fiber fusion splicing. 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.

Location: Remote-Friendly (Travel Required) | San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is seeking an experienced Datacenter Controls Engineer to join our Datacenter Infrastructure team. In this role, you will design, implement, and optimize control systems that support our global datacenter infrastructure, enabling the reliable operation of AI at scale. You will work on cutting-edge control systems managing critical datacenter operations including liquid cooling systems (CDUs/CDMs), HVAC, electrical power monitoring systems, and building automation systems. This position requires both technical depth in industrial automation and the ability to collaborate across disciplines to deliver integrated solutions for high-density AI compute infrastructure. Responsibilities System Architecture & Integration Design and implement multi-site controls architecture across Anthropic's global datacenter facilities Define network topology, redundancy, and high-availability requirements for control nodes and servers Develop and maintain standardized frameworks for BACnet, Modbus TCP/IP, OPC-UA, MQTT, and SNMP communication layers Ensure integration between control systems and enterprise networks while maintaining security boundaries and compliance with cybersecurity frameworks for industrial control systems Control System Design & Implementation Define, design, develop, and implement control systems for datacenter mechanical, electrical, and building management systems with focus on AI compute environments Develop SCADA/BMS applications using platforms including Ignition, Niagara/Tridium, or similar HMI/supervisory systems Select and specify instrumentation including sensors, transmitters, actuators, and control valves for liquid cooling loops, power distribution, and environmental monitoring Data Collection & Visualization Architect and supervise deployment of centralized telemetry systems capable of storing high-resolution time-series data from power, thermal, and environmental sensors Develop intuitive dashboards and visualization layers using Ignition SCADA, Grafana, or comparable frameworks for facilities, operations, and engineering teams Leverage control systems to enable performance insights, fault detection, and predictive maintenance capabilities Construction Integration & Documentation Participate in new design and construction projects to ensure controls and BMS standards are embedded from design through commissioning Define and review controls and instrumentation specifications in architectural and MEP packages Create comprehensive technical documentation including P&IDs, control narratives, sequence of operations, and commissioning procedures Validate installed systems during commissioning for proper network configuration, protocol compatibility, and data visibility Minimum Qualifications Bachelor's degree in Engineering (Electrical, Controls, Mechanical, Computer) or equivalent practical experience 7+ years of experience in control systems design and implementation for industrial automation, building automation, or datacenter systems Deep familiarity with industrial communication protocols: BACnet, Modbus TCP/IP, OPC-UA, MQTT, SNMP, Ethernet-IP Experience with instrumentation selection, control panel design, and control system integration Working knowledge of network architecture including subnets, VLANs, firewall rules, and IP management Strong documentation skills and ability to work effectively in cross-functional teams Preferred Qualifications 10+ years in datacenter, critical facilities, or mission-critical infrastructure environments Experience with liquid cooling systems including CDUs, CDMs, and cooling tower control systems Background in high-density rack integration environments and AI/ML compute infrastructure Experience designing or deploying BMS/SCADA systems such as Ignition, Niagara/Tridium, Wonderware, or similar Strong background in database integration (SQL Server, InfluxDB, PostgreSQL, TimescaleDB) and data logging architecture Proficiency in Python or scripting for automation/configuration within SCADA/BMS frameworks Experience deploying multi-site redundant controls servers with high-availability requirements Professional Engineering (PE) license or vendor certifications (Schneider, Rockwell, Siemens) Knowledge of relevant codes and standards: ASHRAE, NFPA, IEEE, ISA Familiarity with Grafana, Node-RED, Ignition Perspective, or equivalent visualization tools Experience bridging cloud orchestration systems with facility-level power controls and load management (e.g., DCIM, BMS, EPMS) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - United States 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 The Data Center Design Lead will partner with internal infrastructure, hardware, and operations teams, as well as external consultants, engineers, and construction firms, to deliver designs that support rapid deployment and long-term operational excellence. This role leads internal electrical and mechanical engineers, oversees third-party design partners, and ensures all designs meet Nebius standards, local regulations, and operational requirements. You will be responsible for both hands-on design oversight and technical leadership, serving as the final authority on data center design decisions. Location: Remote, US Responsibilities: Design Leadership • Own the end-to-end design process for new data center builds and expansions. • Translate business, hardware, and workload requirements into facility design specifications (power, cooling, network, and floor space). • Ensure designs optimize density, reliability, and efficiency while supporting rapid scalability. • Coordinate with mechanical, electrical, and plumbing (MEP) engineers and consultants to deliver detailed designs. Power & Cooling Strategy • Define requirements for high-density rack power, redundancy and UPS configurations. • Lead cooling design trade-offs (air, liquid, immersion) to meet GPU cluster needs. • Evaluate and integrate renewable energy and sustainability initiatives. Network & Infrastructure Integration • Work closely with network and hardware teams to ensure physical layout supports cabling, interconnects, and future expansion. • Plan for modular design that enables incremental GPU cluster growth. Compliance & Standards • Ensure all designs comply with international and regional standards (e.g., Uptime Institute Tier guidelines, local building codes). • Incorporate safety, fire suppression, and physical security measures. • Define documentation and as-built standards for ongoing operations. Cross-Functional Collaboration • Coordinate with construction project managers and external contractors during build phases. • Provide design oversight during commissioning and handover to operations. Continuous Improvement • Evaluate emerging GPU data center technologies and integrate innovative solutions. • Develop playbooks and design templates for repeatable, fast deployments. • Benchmark efficiency (PUE, WUE) and reliability across sites to drive improvement. Requirements: 12+ years of experience designing data centers . Direct experience with electrical, mechanical, and architectural DC design . Degree in Electrical Engineering, Mechanical Engineering, or Architecture (or equivalent). Proven leadership experience managing technical design teams. Strong stakeholder communication skills across construction, operations, and external partners. Experience designing high-density data centers , including: Air-cooled environments & Liquid-cooled technologies Nice to Haves: Experience designing data centers for hyperscalers or neoclouds Prior experience supporting GPU dense or AI infrastructure environments. 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. Compensation We offer competitive salaries, ranging from $90,000-$220,000 based on your experience 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.