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Location: Remote - European Region Workplace: hybrid Coinspaid Dev is the engineering brand behind the technology, infrastructure, and R&D expertise built within Coinspaid. With more than 120 engineersand over 11 years of industry experience, Coinspaid Dev brings together software engineering, infrastructure, security and R&D teams with experience building distributed systems and blockchain infrastructure operating across more than 20 blockchain networks. Coinspaid Dev emerges as an independent engineering brand with a straightforward mission: to advance blockchain infrastructure engineering and contribute practical expertise back to the industry. The structure is new. The experience behind it is not. As an Engineering Manager, you will lead one or more teams within an Engineering Domain, supporting people’s growth, driving delivery, and ensuring engineering quality and operational reliability. Responsibilities: Lead and develop people: Conduct regular 1:1s and performance reviews, provide actionable feedback, and create individual development plans with tech leads. Build trust within the team and support a healthy, collaborative working environment through open communication and thoughtful people management. Build effective teams: Own hiring and onboarding, identify required competencies, and manage team composition, capacity, workload, and absence coverage. Create an environment built on trust, accountability, respectful communication, and continuous learning. Set goals and delegate effectively: Translate business and product priorities into clear team goals, technical OKRs, and actionable plans. Delegate responsibilities with clear expectations and decision-making authority, supporting ownership. Own planning and delivery: Coordinate prioritisation, estimation, sprint and release planning, and execution. Balance scope, capacity, dependencies, and quality to deliver predictable outcomes and communicate changes early. Delivery methods maintenance and improvement: Work effectively within established Agile processes, ensuring consistent sprint planning, capacity management, and workload allocation. Track progress against commitments, address delivery risks, and continuously refine team practices using delivery metrics and team feedback. Act proactively: Identify delivery risks, capability gaps, technical weaknesses, and operational issues before they escalate. Initiate corrective action, involve the right people, and follow through to resolution. Drive technical development: Partner with the Lead Solutions Architect and tech leads to shape the technical roadmap, assess technical trade-offs, resolve complex blockers, and prioritise technical debt, modernisation, and automation alongside product work. Ensure quality and reliability: Coordinate QA and release engineering capacity, strengthen testing and automation, and ensure production readiness through secure development and SRE practices. Monitor service quality and use incidents and release outcomes to drive improvements. Support service operations: Organise on-call onboarding and schedules, coordinate incidents and escalations with L2 support, and ensure support teams understand team-owned services. Collaborate: Keep engineering, product, DevOps, Security, and other stakeholders aligned on goals, progress, and risks. Maintain lightweight, useful processes, ensure adherence to engineering standards, and improve practices based on measurable outcomes and team feedback. Report progress and align with the line manager: Keep the line manager informed of progress against the product and technical roadmaps, team goals, and delivery plans. Discuss risks, priorities, and resource needs, and contribute to technical strategy and planning. Requirements: At least 2–3 years of direct people management experience leading engineering teams (10+ team members) 7+ years of experience in software engineering across backend, frontend, or QA, including hands-on technical work and technical leadership. Strong technical judgment and the ability to discuss architecture, engineering quality, and technical trade-offs with architects and tech leads. Practical knowledge of Agile methods, with experience planning sprints, managing capacity and workload, and adapting delivery practices to team needs. Ability to select and interpret engineering and delivery metrics, turn findings into concrete actions, and assess whether those actions improve outcomes. Experience setting clear goals, defining success measures, delegating effectively, and holding people accountable while supporting their autonomy. Empathetic people leadership: active listening, awareness of individual motivations and team dynamics, and confidence in handling difficult conversations and conflict. A proactive approach to identifying risks and weaknesses, taking initiative, and driving issues through to resolution. Experience partnering with Product Management to balance product priorities, technical investment, and available team capacity. Understanding of secure software development, automated testing, release management, production monitoring, and incident response. A collaborative approach grounded in respect, transparency, accountability, and openness to feedback. Why join CryptoProcessing by Coinspaid You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact. At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so. We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work. Flexible Benefits Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses. Work & Flexibility Fully remote work from almost anywhere Optional offices and relocation support Flexible, async-friendly environment Growth & Learning Budget for courses, certifications, and professional development Language learning support Cross-team learning and knowledge sharing Wellbeing & Support Medical insurance or reimbursement depending on location Access to mental health support Financial support for important life events Extras Merch shop with rewards system Team offsites and company events Sounds good? Well then, we can’t wait to see your resume! To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, Texas. You will be expected to work from our Austin office twice a week. Schedule: This is a full-time role on a Tuesday-Saturday or Sunday-Thursday rotation with a firm start time of 11:00 AM Central Time to align with our global operations. About the Department Cloudflare’s Customer Support team helps customers resolve complex technical problems and build a better Internet. Within Developer Platform, we work with individual developers, startups, and enterprise engineering teams building production applications on Cloudflare. We bring together technical investigation, thoughtful customer communication, and close collaboration with Product and Engineering to resolve issues and improve the developer experience. About the role As a Technical Support Engineer on our Developer Platform team, you’ll help developers build and run applications on Cloudflare Workers, Workers AI, Durable Objects, R2, D1, Workflows, Pages, Queues, and Workers KV. You’ll investigate platform behavior, replicate reported issues in a test account, guide customers on enabling logs and tracing, and turn findings into clear, practical guidance. You’ll also improve the scripts, documentation, and AI-assisted workflows that help the team solve problems consistently. This role combines hands-on troubleshooting, customer communication, and ownership across a rapidly evolving platform. Responsibilities Own technical support cases from initial investigation through resolution via email, chat, and phone, providing clear next steps, timely follow-up, and empathetic communication. Troubleshoot builds and deployments, runtime errors, resource limits, routing, and bindings to storage, databases, and external APIs. Replicate reported behavior in a sandbox environment, analyze platform logs and request telemetry, and guide customers on enabling observability and tracing to isolate root causes. Partner with Engineering on escalations with clear customer impact, reproduction steps, and diagnostic evidence, keeping customers informed through resolution. Define and update runbooks, AI skills, conversational journeys, and documentation to ensure automated workflows and customer guidance remain accurate and up to date. Use and improve diagnostic scripts, tools, and test examples that help customers and teammates troubleshoot faster. Prioritize concurrent cases by customer impact, provide clear handoffs across time zones, and help identify and communicate recurring issues or incidents. Collaborate with teammates, Product, and Engineering to report reproducible bugs, validate fixes, and improve product reliability and support workflows. Desirable Skills, Knowledge, and Experience 3-5 years of experience in technical customer support, developer support, or a similar role troubleshooting web applications, cloud services, or APIs. Ability to write or modify small scripts in JavaScript, Python, Bash, or a similar language to reproduce issues and inspect API behavior. Excellent written and verbal communication: explain complex findings clearly, ask focused questions, set realistic expectations, and guide customers with different levels of technical expertise. A structured troubleshooting approach: isolate variables, compare environments, and interpret logs, stack traces, and error messages to pinpoint root causes. Strong understanding of HTTP(S), DNS, SSL/TLS, caching, and how web requests flow between clients, edge networks, and origin servers. Familiarity with REST APIs, JSON, authentication headers, and basic SQL queries when investigating application or data issues. Experience supporting or deploying cloud-hosted web applications, including environment configuration, build logs, and runtime errors. Comfort working in Linux or Unix-like environments with command-line tools such as curl, dig, openssl, and Git, as well as browser developer tools. Curiosity, independent learning, and sound judgment when prioritizing cases, collaborating with teammates, and verifying outputs from AI tools and documentation. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Remote - US Founded in 2012, Bugcrowd is the preemptive security platform that unifies exposure discovery and assessment, offensive testing, and intelligence shaped by AI and human insight to help organizations avoid, discover, and validate real-world risk. Bugcrowd helps security teams move faster by identifying the exposures that matter most so they can act first and stay ahead of attackers. By combining the power of humans and AI, teams can preempt attack paths and prevent breaches. Based in San Francisco and New Hampshire, Bugcrowd is supported by General Catalyst, Rally Ventures, Costanoa Ventures, and others. Visit www.bugcrowd.com . Bugcrowd is looking for a motivated Customer Support Engineer I to join our growing Bugcrowd Support team. In this role, you will be an initial point of contact for both Customers and Researchers for all questions and issues regarding interactions and usage of the Bugcrowd Security Knowledge Platform. The ideal candidate is a quick and eager learner, a diligent professional, and an effective communicator, focused on developing cross-functional relationships. Essential Duties and Responsibilities Initial Technical Support: Serve as the first point of contact for customer and researcher issues across tickets, email, and video channels, resolving standard L0–L2 technical questions. Knowledge & Documentation: Identify and apply established workarounds for common issues while documenting repeatable solutions in the Knowledge Base. Workflow Optimization: Assist in refining internal operational workflows and documentation to increase resolution efficiency. Guided Professional Growth: Work under the regular guidance of senior team members, proactively seeking feedback and coaching to develop technical skills and independence. Education, Experience, Knowledge, Skills, and Abilities Experience: 0–2 years of experience in a technical support, customer-facing, or technology-adjacent environment. Technical Foundations: Familiarity with command-line tools (e.g., Bash, SSH, grep) and foundational exposure to integrations such as Jira, SAML, APIs, or SSO/2FA. Communication Skills: Strong written and verbal communication abilities with a focus on clear, professional documentation. Problem-Solving Mindset: A solutions-oriented approach with strong time management, composure under pressure, and a high sense of urgency. Preferred Experience Security Interest: Demonstrated interest in cybersecurity concepts, vulnerability types, or ethical hacking. Working Conditions & Physical Requirements The ideal candidate must be able to complete all physical requirements of the job with or without reasonable accommodation. Sitting and / or standing - Must be able to remain in a stationary position 50% of the time Carrying and / or lifting - Must be able to carry / move laptop as needed throughout the work day. Environment - remote, work-from-home 100% of the time. Pay Range Disclosure The base pay range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to Qualifications, Geographical Location, Education/certifications, Experience, Skill Sets, Training, and other business and organizational needs. At Bugcrowd, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for the position is: $59,520 - $74,400. This position may also be eligible to participate in a discretionary bonus program or commission plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Culture At Bugcrowd, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that people are included and have a sense of being part of making Bugcrowd not only a great product but a great place to work. We regularly hear from both customers and researchers that Bugcrowd feels like a family, and we strive to maintain that internally as well. Our team consists of a broad range of people: musicians, adventure sports junkies, nature lovers, parents, cereal enthusiasts, night owls, cyclists, artists—you get the point. At Bugcrowd, we are solving security threats and vulnerabilities that are relevant to everyone, therefore we believe solving these problems takes all kinds of backgrounds. We value the perspectives and experiences people from underrepresented backgrounds bring. Disclaimer This position has access to highly confidential, sensitive information relating to the technologies of Bugcrowd. It is essential that the applicant possess the requisite integrity to maintain the information in the strictest confidence. The company is authorized to obtain background checks for employment purposes under state and federal law. Background checks will be conducted for positions that involve access to confidential or proprietary information (including trade secrets). Background checks may include Social Security verification, prior employment verification, personal and professional references, educational verification, and criminal history. Applicants with conviction histories will not be excluded from consideration to the extent required by law. Any personal data you submit in connection with your application will be processed in compliance with Bugcrowd's Privacy Policy, which you may review here: https://www.bugcrowd.com/privacy . Equal Employment Opportunity: Bugcrowd is EOE, Disability/Age Employer. Individuals seeking employment at Bugcrowd are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Bugcrowd is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Bugcrowd will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact HR at ADA at bugcrowd.com. Apply at: https://www.bugcrowd.com/about/careers/

Location: New York, NY; San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As the Engineering Manager for Design Systems Adherence, you'll lead the team building the workflows, tools, and quality feedback loops that help customers create design and code that correctly adheres to their design system when working with Figma’s Agents. This work spans context engineering i.e making guidelines, examples, and documentation useful to AI, agent architecture improvements as well as creating  datasets, evaluators, and benchmarks that show how well outputs follow a customer's design system. You'll set strategy across these areas, raise the bar on adherence measurement, and turn evaluation results and customer feedback into feedback loops that make design quality better. This is a high-impact opportunity to shape Figma's Agent and improve overall design quality. An organization’s Design System is one of the key differentiators of design quality as we can use it to make agent output adhere to their specific brand, products and design language. We are also aiming to solve Design <> Code parity and minimize drift away from the defined design system in both code and designs. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Lead and grow a 6-8 engineer team responsible for Design Systems Adherence across our workflows Coach and develop engineers through career growth, feedback, and technical leadership, building a culture of ownership and high-quality execution Own and evolve design system context: make guidelines, examples, documentation, and other guidance available to AI as useful, actionable context that improves how it applies a customer's system Set the technical strategy for adherence measurement - including high-fidelity evaluation datasets, quality rubrics, evaluators, and deterministic regression checks that catch issues as Figma's Agent evolves Build benchmarking, tools, and dashboards that help Figma and customers understand design system adherence and act on the results, while tracking visual quality, latency, and cost Partner closely with Product, Design, and AI Research teams at Figma to achieve business impact We'd love to hear from you if you have: 3+ years of experience leading and growing high-impact engineering teams with a track record of strong impact Hands-on depth in building AI assistants, evaluation systems, and using the latest large language models and harnesses Fluency with modern AI development and evaluation workflows, such as context management, dataset curation, automated evaluators, benchmarking, and regression testing A strong foundation in software engineering and a platform mindset: you build tools and systems other teams adopt and rely on, alongside workflows that solve real customer problems A high quality bar for customer experience, data quality, and reliable measurement, and the ability to set technical direction and drive cross-functional alignment in complex environments While not required, it’s an added plus if you also have: Strong understanding of design systems, including components, tokens, usage guidelines, and their integration across design and code Proven ability to establish evaluation and customer feedback loops to continuously improve AI products Skilled in benchmarking AI products across output quality, latency, and cost, translating findings into actionable product priorities Track record of developing shared evaluation tools, curated datasets, or dashboards to measure quality and prevent regressions At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $258,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Waymo is looking for a Quantitative Software Engineering Intern to research theories, evaluate results, and implement software.

Location: London Workplace: Hybrid ABOUT NIANTIC SPATIAL We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. ABOUT THE ROLE We are looking for a Research Engineer to help develop our Geospatial Visual Localization technologies, which allows people and robots to accurately localize themselves anywhere on the planet. This is an end-to-end applied research role. You will develop new approaches to open problems alongside our researchers in 3D vision and machine learning, and publish your work at leading conferences. You will help build and train large models on large-scale multi-modal datasets, including our proprietary collection of 30 billion posed images and ship them into production, to be used by people and robots from all over the world. Our team works with heterogeneous captures from phones and other handheld devices, 360 cameras, vehicles, and drones, as well as aerial and satellite imagery, LiDAR, and external geographic data. Your focus will be to improve accuracy and robustness across urban and rural locations, cameras, seasons, weather, and capture quality. The system must remain reliable with noisy GPS, in GPS-denied environments, and with outdated reference maps. Each pose estimate comes with an uncertainty that our customers rely on, and keeping it well calibrated across these conditions is part of the work. WHAT YOU'LL DO - Design, implement, and evaluate novel visual localization algorithms, combining 3D vision and deep learning. - Train large models on multi-modal data at scale, and build the benchmarks that measure their accuracy and robustness. - Develop robust solutions for difficult real-world conditions: noisy or denied GPS, changing appearance, varying capture quality, large geographic extents, and imperfect reference maps. - Work side-by-side with leading researchers in visual localization, 3D computer vision, and mapping, as well as engineering and product teams, to identify the highest-impact problems and turn research into end-to-end solutions that operate at production scale. - Communicate results clearly through technical writing, design reviews, internal presentations, and publications. WHAT YOU'LL BRING - Strong grounding in 3D computer vision, deep learning, robotics, photogrammetry, or a closely related field. - Demonstrated experience with multi-view geometry and related problems, such as camera pose estimation, monocular depth estimation, SfM, SLAM, georeferencing, point-cloud registration, or sensor fusion. - Knowledge of transformer models for 3D vision, such as vision foundation models, feed-forward 3D reconstruction, or multi-view and multi-modal attention. - Knowledge of geospatial data and coordinate reference systems. - Ability to formulate ambiguous real-world problems, choose appropriate mathematical or learning-based tools, and evaluate solutions rigorously. - Strong Python skills and experience training deep learning models at scale, with libraries such as PyTorch, NumPy, and SciPy. - Strong software engineering skills, with the ability to turn research prototypes into reliable, scalable, and maintainable systems. - Experience taking an algorithm from research idea and experimental prototype through evaluation, benchmarking, and deployment on real-world data. - Clear written and verbal communication and the ability to collaborate across research and engineering disciplines. NICE TO HAVE - A PhD in computer vision, robotics, machine learning, photogrammetry, geodesy, remote sensing, or a related field, or equivalent research or industry experience. A PhD is not required. - A strong publication record or substantial active involvement in the research community, especially at venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia, 3DV, ICRA, RSS, or related conferences and journals. - Experience with aerial or satellite imagery, GNSS/GPS, IMUs, LiDAR data, geodesy, mapping systems, or large-scale spatial data. - Evidence of technical leadership, mentorship, or successful cross-functional delivery. COMPENSATION & BENEFITS Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. LOCATION & WORK MODEL This role is based in our London office, with three days per week in office. INCLUSIVE APPLICATION We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. EQUAL OPPORTUNITY Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. CANDIDATE PRIVACY I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: New York Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: We are seeking an experienced Head of Market Data Development and Engineering to lead the development, delivery, acquisition, governance, and optimization of market data for both digital and traditional assets across the firm. This role sits at the intersection of trading and technology ensuring high-quality, cost-effective, performant, and compliant data services that power trading, research, and risk systems. You’ll work closely with trading teams, stakeholders, and external partners to deliver critical initiatives that drive our business forward. If you’re a natural problem-solver with a passion for hands-on technical development in a global, fast-paced environment, we want to hear from you. What You’ll Do: Market Data Strategy & Architecture Define and execute a unified market data strategy across centralized crypto exchanges (CEX), decentralized venues (DEX), and traditional markets Design scalable, low-latency data architecture supporting tick-level, order book, and on-chain data Evaluate build vs. buy decisions for internal data platforms vs. external providers Development Manager and hands on Development Lead a small team of developers and be hands on yourself in Java Design and build a Java based Market Data API to front all data sources including custom feedhandlers, vendor platforms, Kdb+, and DataBricks Manage the Market data messaging bus used by all internal applications in the firm Crypto Market Data & Vendor Management Build relationships with crypto exchanges (e.g., Binance, Coinbase, Deribit, OKX), data aggregators, and node providers Assist our vendor management team with commercial negotiations, licensing, and exchange agreements across both crypto and traditional markets Data Quality, Normalization & Coverage Ensure high-quality, normalized datasets across fragmented crypto venues (symbol mapping, schema standardization, latency benchmarking) Oversee ingestion of real-time order book data, trades, reference data, funding rates, and on-chain metrics Establish monitoring and alerting frameworks for data integrity and completeness Cost Management & Optimization Manage and optimize the global market data budget across crypto and traditional vendors Identify cost-saving opportunities through vendor consolidation, direct exchange connectivity, and internal data solutions Implement usage tracking and chargeback models where appropriate Infrastructure Partnership Partner with infrastructure teams to build the pipes necessary to bring in market data Support hybrid environments (on-prem + cloud) and ensure resilience, redundancy, and scalability Enable data access for research, backtesting, and production trading systems Regulatory & Compliance Oversight Ensure compliance with exchange licensing, redistribution rules, and evolving crypto regulatory frameworks Implement entitlement controls, audit trails, and governance policies across all data usage Stakeholder Collaboration Work closely with trading, quant research, risk, and portfolio management teams to deliver data solutions Support onboarding of new exchanges, instruments (perpetuals, options), and strategies Act as the firm’s subject matter expert on both crypto and cross-asset market data Leadership & Team Development Build and lead a high-performing development team Establish best practices for market data onboarding, validation, and lifecycle management Foster a culture of innovation, automation, and operational excellence Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes. Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work. What We’re Looking For: 10+ years of experience in custom development of real time market data platforms within a trading firm, hedge fund, or financial institution Knowledge of key market data vendors, exchanges, and licensing models Strong understanding of trading workflows, asset classes (equities, futures, options, FX, fixed income), and data types (real-time, reference, historical) Experience with low-latency data systems, market data feeds, APIs, and streaming technologies Strong analytical and problem-solving skills with attention to detail Excellent communication skills, with the ability to engage both technical and business stakeholders Bonus Points: Familiarity with on-chain data, blockchain nodes, and crypto data providers What We Offer: Competitive base salary and discretionary bonus Hybrid/Flexible Working Arrangements Flexible Time Off (paid) 3% 401(k) company contribution Company-paid health and protective benefits for employees, partners, and other dependents Generous paid Parental Leave Competitive family planning benefits for US employees Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Free daily snacks and weekly breakfasts/lunches Employee Resource Groups Free coaching and counseling sessions through Headspace Apply now and join us as we grow the economy that runs on code. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. Base Salary Range $220,000 — $250,000 USD Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: United States (Remote); Canada (Remote) Workplace: Remote ROLE SUMMARY Join our dynamic team as a Staff Application Security Engineer, where you'll play a pivotal role in securing the Temporal development pipeline, product, and customer execution environment. In this position, you'll work closely with software engineering teams and customers to build security deeply into our platform across multiple clouds. You'll also build production ready AI assisted security workflows with the right guardrails. We're looking for individuals who are passionate about enabling engineering teams to build and ship securely, serving as trusted security partners across the organization. WHAT YOU’LL DO - Collaborate with product and engineering teams to integrate security principles into the design and architecture of products. - Lead complex threat modeling and risk assessments to identify vulnerabilities and potential attack vectors across the full product surface. - Drive strategy, influence architecture, and set direction for security across multiple teams or org-wide. - Manage the Secure Development pipeline including code security and 3rd party library supply chain security. - Stay current on emerging standards and guidance (e.g. OWASP Top 10 for LLMs, MCP security specifications) and translate these into actionable internal policy. - Own responsibility disclosed vulnerabilities in both Cloud and Open Source products. - Able to participate in on-call rotation. WHAT YOU’LL BRING - Bachelor’s degree in Computer Science, Cybersecurity, or a related field (or equivalent experience). - 7+ years in application or product security or a related role. - Proven partnership with engineering teams, bringing security expertise to the planning and development process. - Ability to write production-quality code in at least one programming language, with a history of development beyond simple scripting. - Knowledge of encryption, authentication, and secure communication protocols. - Familiarity with tools like SAST, DAST, and penetration testing frameworks. - A deep understanding of application architecture and design principles, ability to effectively identify vulnerabilities across multiple programming languages - Excellent communication and ability to explain complex security concepts to non-technical stakeholders. - Kubernetes security posture management and auditing, including workload hardening, RBAC design, and admission control. - Demonstrated experience with multi-tenant security architecture, including data plane isolation, control plane hardening, and cross-tenant data leakage prevention. NICE TO HAVE - Distributed computing and related vulnerability experience. - Familiarity with Go. - Running a Security Champions program. - Open Source automation or automation projects. - Expertise in other areas of security. - Security conference talks or published research. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Boston, Massachusetts, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Help fans discover—and rediscover—the brands they love. Bring your curiosity, ideas and point of view to a team creating products, games and experiences enjoyed by fans around the world. About Hasbro Hasbro creates joy and community through the magic of play. Across Hasbro, Wizards of the Coast and our partner network, teams bring iconic brands and new ideas to life through games, toys, entertainment and experiences. About the role In this role, you will support packaging development across Hasbro’s toy and game portfolio, with the chance to work on brands such as Nerf, Play-Doh, Star Wars, Transformers and Marvel. You will use ArtiosCAD to design and develop dielines and work with a cross-functional team to evaluate cost and help deliver projects on time. What you’ll do Design packages that consider perceived value, aesthetic appeal and branding direction throughout the product development cycle. Develop packaging concepts through brainstorms and sketches for toys and games. Create 2D and 3D CAD files for cost effective, sustainable and creative packaging. Create detailed packaging specifications and bills of materials. Prototype fully assembled packaging, including packaging whites and blisters. Work with cross-functional partners to evaluate cost and keep projects on schedule. What you bring You are currently enrolled in a university degree program in Packaging Engineering or Packaging Science (preferred). Students in Mechanical or Paper Engineering programs with completed packaging coursework will also be considered. Creative and conceptual thinking, problem-solving and attention to detail. Ability to brainstorm package concepts and explain them through sketches and conversation. Ability to prioritize and manage multiple projects. Strong interpersonal skills and a team-oriented mindset. Openness to improvement through personal goals and constructive feedback. Familiarity with 2D and 3D CAD tools such as ArtiosCAD and SolidWorks is helpful, shown through coursework, projects or other experience. Coursework or projects in packaging design, materials or structural design are helpful. Knowledge of Adobe Photoshop is a plus. Work samples: No portfolio is required. You may share sketches, CAD files, or a class, club, work or personal project that shows how you approach design problems. Who can apply You are currently enrolled in an accredited university degree program and will remain enrolled for at least one academic term after completing the co-op. Previous graduates are not eligible. You can commit to the full program schedule and work model. You meet the work-authorization requirements stated below. Listed majors are examples. Related programs, coursework and transferable projects are welcome; previous internship or co-op experience is not required. If you do not match every preferred skill, we still encourage you to apply. Opportunity details Co-op start and end dates: January - July 2027 Schedule: Full-time, 40 hours per week Work model: Hybrid Location: Boston, MA Application deadline: Applications will be reviewed on a rolling basis, as needed. Pay and benefits This is a paid co-op. Hourly rates vary by degree level and year in school. Boston hourly rate: $31 - $35 What happens after you apply Our Early Careers team reviews applications. Selected candidates will interview with the hiring team. Please keep your contact information and availability current. Work authorization Applicants must be legally authorized to work in the United States. The Company is unable to provide immigration sponsorship for this position. Equal opportunity and accommodations Hasbro is committed to equality of opportunity in all aspects of employment. Employment decisions are made without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any other status protected by applicable federal, state or local law. We provide reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs throughout the application and interview process. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $31 — $35 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Boston, Massachusetts, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Help fans discover—and rediscover—the brands they love. Bring your curiosity, ideas and point of view to a team creating products, games and experiences enjoyed by fans around the world. About Hasbro Hasbro creates joy and community through the magic of play. Across Hasbro, Wizards of the Coast and our partner network, teams bring iconic brands and new ideas to life through games, toys, entertainment and experiences. About the role In this role, you will help design new toys, develop unique product interactions and explore innovative technology. You will work on brands such as Hasbro Gaming, Furby and Star Wars, brainstorming new toy ideas, building electronic prototypes and taking them from concept to production alongside your colleagues. Co-ops are responsible for electronic schematics, programming and gameplay design, and also evaluate competitor products, provide feasibility assessments for new concepts and build rapid prototypes. You will also have the chance to take part in Hasbro’s co-op design challenge, working with a team to bring an original toy idea to life through prototyping, development checkpoints and a final presentation. What you’ll do Design and iterate electronic schematics. Build and test electrical prototype boards, including soldering and debugging. Write IC programs for electronic toys in an environment similar to Arduino. Refine product gameplay for program development. Identify and troubleshoot problems with development models. Research new technologies and evaluate competitor products. What you bring You are currently enrolled in a university degree program and have completed at least one year toward a BS in Electrical, Computer, or Robotics/Animatronics Engineering. Programming skills and knowledge of electronic theory. Experience soldering and using standard electronic test equipment, such as a multimeter or oscilloscope. Strong communication, time management and interpersonal skills. Nice To Have: CAD experience in SolidWorks or OnShape Machining familiarity Prior project work or co-op experience in product design engineering, animatronics or mechanism design Work samples: No portfolio is required. You may share a class, club, work or personal project, such as a circuit, program or prototype you built. Who can apply You are currently enrolled in an accredited university degree program and will remain enrolled for at least one academic term after completing the co-op. Previous graduates are not eligible. You can commit to full-time, in-person work at our Boston, MA office for the entire co-op. You meet the work-authorization requirements stated below. Listed majors are examples. Related programs, coursework and transferable projects are welcome. If you do not match every preferred skill, we still encourage you to apply. Opportunity details Co-op start and end dates: January - July 2027 Schedule: Full-time, 40 hours per week Work model: In person at our Boston, MA office Location: Boston, MA Application deadline: Applications will be reviewed on a rolling basis, as needed. Pay and benefits This is a paid co-op. Hourly rates vary by degree level and year in school. [Location] hourly range: $31 - 35 USD The pay transparency range for this role is listed above. The hiring range will vary based on factors such as experience, skills, location and market conditions. What happens after you apply Our Early Careers team reviews applications. Selected candidates will interview with the hiring team. Please keep your contact information and availability current. Work authorization Applicants must be legally authorized to work in the United States. The Company is unable to provide immigration sponsorship for this position. Equal opportunity and accommodations Hasbro is committed to equality of opportunity in all aspects of employment. Employment decisions are made without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any other status protected by applicable federal, state or local law. We provide reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs throughout the application and interview process. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $31 — $35 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Lisbon, Portugal or London, UK About the Role Cloudflare built its reputation helping build a better Internet, defending millions of sites, giving away SSL and DDoS mitigation when the industry charged premium prices. In an acceleratingly dangerous world, the scope of that mission has changed. We are becoming something more: critical infrastructure. Banks run their payment rails on us. Governments run public services on us. Media companies depend on us during live events. Health systems depend on us to provide care. Reliability for these customers is no longer a feature of our product. It is a mission. Serving that customer base demands a different operating model. Traditional support organizations route tickets. Traditional engineering organizations ship features. Neither alone is enough when the stakes are this high. We are pivoting to something different: a customer-facing engineering organization, directly engaged with our customers at scale. This is work a central dev team cannot do from the inside of the network. The Customer Reliability Engineering function is the spine of that pivot. CRE is SRE applied outward, the same engineering discipline, applied to the reliability of the systems our customers run on Cloudflare. You are the engineer who owns the problems that matter most to the customers who matter most, and you contribute directly to our products and tooling, in partnership with Product Engineering, to hold that standard across the entire customer base. The Role CRE is a rapid response team and a proactive engineering team. You fix things at the edge as they come up, and you help build the product capabilities that identify customer issues before they become a crisis. Both modes are equally core. Rapid response. When a customer issue surfaces that is high-severity, cross-layer and complex, you are the engineer who answers. You reproduce the defect, isolate the root cause across Cloudflare's infrastructure and the customer's stack, drive the fix with Product Engineering, and confirm resolution. You hold on-call for high-severity incidents as part of a global shift rotation. Proactive engineering. When no fire is burning, you work with Product Engineering and our platform teams to build the capabilities that make the next fire cheaper or unnecessary: telemetry pipelines that correlate signals across the customer base, detectors that fire before a human notices, diagnostic tooling that scales across hundreds of customers, automation that reduces toil for Customer Support. Every incident you carry generates engineering output that reduces the cost of recurrence. The work compounds. Cloudflare is building CRE as an AI-native function. You will work with and help build agents and tooling that pre-diagnose incidents, surface relevant logs and configuration, and propose fixes with cited evidence. Engineers who ship AI-assisted diagnostics are the ones defining this discipline. What You Might Work On Rapid response: Own a Sev-1 incident where a large financial services customer sees asymmetric latency from a single POP. Trace it through BGP routing and identify transit provider policy change that is required to resolve. Diagnose a recurring WebSocket disconnect a media customer has been experiencing across multiple release cycles. Isolate it to a specific interaction between a Cloudflare service release and the customer's connection lifecycle. Drive the fix with the owning engineering team. Partner with a government customer's SRE team during an active DDoS event. Help them shape their Magic Transit and WAF configuration in real time. Proactive engineering: Build, with Product Engineering, a distributed tracing capability that correlates Cloudflare edge signals with customer origin metrics so a single query tells the story of a failing request end-to-end. Ship a detector for a class of WAF false positives silently degrading several customers. Get it into production before the next renewal cycle. Prototype an AI agent that takes a new customer case, pulls relevant logs and config, and proposes a root cause with linked evidence. Deploy it internally. Measure whether it makes engineers faster. Iterate. Responsibilities Rapid incident response and root cause analysis. Own the most complex, high-severity customer issues end-to-end, from first signal through confirmed resolution. Lead deep-dive debugging across the full stack: edge, network, DNS, transport, APIs, application, customer-side configuration. Reproduce defects, validate fixes with Engineering, and confirm customer-side resolution. Produce postmortems other engineers rely on. Hold on-call for high-severity incidents as part of a global rotation that includes weekends. Proactive reliability engineering. Analyze support and telemetry signals across the customer base to find systemic risks before they become incidents. Contribute monitoring, detection, and diagnostic capability to the core product and the engineering systems that give Customer Support early visibility into customer-affecting issues. Define customer-facing reliability metrics (error rates, resolution times, repeat-contact rates) and drive measurable improvement. Write automation that reduces mean-time-to-detect and mean-time-to-resolve. Cross-functional partnership. Manage the technical escalation lifecycle with clear ownership and timely communication. Partner with Product Engineering to drive fixes, workarounds, and configuration changes that address underlying gaps. Represent the customer reliability perspective in engineering syncs, incident reviews, and post-mortem processes. Technical leadership and enablement. Raise the technical floor of Customer Support through pair-debugging, structured knowledge transfer, and shared tooling. Document diagnostic procedures and resolution patterns in runbooks, internal knowledge bases, and AI skills. Share insights from customer-facing incidents to improve product documentation and operational readiness. Product and platform depth. Maintain deep, current expertise across Cloudflare's product portfolio: edge networking, DNS, CDN, WAF, DDoS mitigation, Zero Trust, Workers, and our developer platform. Anticipate customer impact from new releases and architecture changes. Serve as a go-to subject-matter expert in one or more domains. Requirements Minimum 5 years of hands-on experience in site reliability engineering, escalation engineering, systems engineering, or a comparable deeply technical support / operations role, with at least 2 years in customer-facing environments. Strong foundation in networking and security: TCP/IP fundamentals: OSI model, IPv4/IPv6 addressing, subnetting, routing, switching. Core protocols: DNS, HTTP/S, TLS/SSL, SMTP, SNMP, NTP. Routing protocols: BGP, OSPF, including path selection and route propagation. Firewall concepts: stateful/stateless inspection, rule sets, NAT, ACLs. VPN and encryption: IPSec, SSL/TLS tunnels, GRE. Zero Trust architecture, network segmentation, modern security models. Proficiency with observability and diagnostic tooling: packet capture and analysis (Wireshark, tcpdump), log aggregation (Kibana, Elasticsearch), metrics dashboards (Grafana), distributed tracing. Strong scripting and automation skills (Bash, Python) with a track record of shipping tooling that improves reliability and reduces toil. Experience with incident management, postmortem culture, and SLO/SLI-based reliability practices. Excellent written and verbal communication. Able to convey complex technical information clearly to engineers, leadership, and customers. Comfort owning ambiguous, cross-layer problems. Composure under pressure during high-severity incidents. Desired Skills & Experience SRE, DevOps, or platform engineering experience with direct customer-facing accountability. Deep expertise at both L3/L4 (network infrastructure) and L7 (application protocols, DNS, HTTP, WebSocket). Expert-level proficiency with Linux command-line tools: curl, dig, git, traceroute, mtr, strace, ss. Data-at-scale analysis using SQL, PromQL, or equivalent. Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform, Pulumi), and container orchestration (Kubernetes, Docker). Track record of building internal tooling or diagnostic utilities that measurably improved team efficiency. Demonstrated technical leadership: mentoring engineers, driving cross-team initiatives, influencing outcomes without direct authority. Experience applying AI/ML to production engineering or operational workflows. Comfort engaging directly with enterprise customer engineering teams, including on calls during incidents. Bonus Points Active Cloudflare user who understands the platform as a practitioner. Hands-on experience with Workers, Pages, R2, D1, or other developer platform services. Cloud networking and security experience across AWS, Azure, or GCP. Web programming (HTML, JavaScript) and regular expressions. Chaos engineering or formal reliability frameworks (e.g., Google SRE principles). Managing or configuring non-HTTP services: email, DNS authoritative/recursive, FTP, SSH. Compensation ● For Portugal based hires: Estimated annual salary is between € 61,000 - 84,000 The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. Equity This role is eligible to participate in Cloudflare’s equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Обязанности: Разработка программного кода и Тестирование, Проектирование и разработка потоков данных на ETL/ELT инструментах;

Основные задачи Разработка инструментов для агентов и интеграций с корпоративными системами (1С, почта, файловые ресурсы). Обработка документов: договоры, счета, таблицы.

Location: Los Angeles, USA As a Senior Manager, ML Engineering , you will lead the Machine Learning Engineering team responsible for building and operating machine learning systems that power League of Legends. This team delivers both player-facing ML experiences and developer-facing ML tools, enabling in-game and around-game capabilities such as recommendations, player behavior modeling, matchmaking, and experimentation-driven personalization. In this role, you will be accountable for the technical vision, execution, and business impact of ML applications in League of Legends. You will shape the end-to-end ML engineering strategy, from data and feature pipelines to model development, deployment, evaluation, and operations, ensuring systems are scalable, reliable, and measurable in production. You will partner with development themes’ product and production leaders to enable the development of League of Legends existing and future player experiences. You will report to the Data Engineering Director of League Insights. This role is based out of our Los Angeles Headquarters. Responsibilities: Manage a team of highly skilled engineers, driving performance, developing future leaders, identifying growth opportunities, and ensuring strong delivery and outcomes. Define, own, and socialize an engineering vision for the organization, working with cross-functional and engineering leaders to create a long-term organizational and staffing plan aligned with technical and product goals. Contribute to all parts of team leadership, including budgeting, recruiting, hiring, mentoring, performance management, and managing contingent staff. Set direction for MLOps & modeling efforts across the ML product lifecycle, continuously improving model quality, efficiency, reliability, and operational excellence. Collaborate closely with cross-functional partners across LoL PC, including product management and technical production, to deliver scalable, reliable, and high-impact ML-powered solutions. Foster effective communication and collaboration within engineering teams, central MLE groups, and across other LoL PC departments. Build stronger cross-Riot MLE craft support and contribute towards ongoing improvements to craft standards. Stay current with industry trends and emerging technologies in applied ML and MLOps, guiding pragmatic adoption of best practices that improve product quality and player impact. Continue to hone your individual skills so you can deliver projects in a Player-Coach dynamic. Required Qualifications: Bachelor’s degree in Computer Science or a related field, or equivalent experience. 10+ years of experience building and operating large-scale software systems, with significant experience in production ML systems. Strong expertise in computer science fundamentals, including system design, data structures, and algorithms. Experience with Java, C++, Python, or similar languages in large-scale, production environments. Deep knowledge of MLOps & modeling best practices, including model lifecycle management, experimentation, monitoring, and deployment at scale. Experience collaborating across multiple teams, departments, and disciplines to create solutions. Experience with project planning, prioritization frameworks, and guiding investment strategies across people, platforms, and systems. Desired Qualifications: Master’s degree in Computer Science or a related field, or equivalent experience. Familiarity with Responsible AI frameworks, fairness considerations, and long-term player impact measurement. Experience with large-scale experimentation platforms and online evaluation frameworks. Experience leading full-stack teams. Experience leading distributed or remote teams. For this role, you will find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The opportunity Build the machine learning capabilities that help advertisers understand what they could achieve on Reddit and make better investment decisions. You will lead models that estimate how campaign outcomes could change with different budgets, bids, audiences, creative performance, or objectives. The work connects supply and demand forecasting, audience availability, response prediction, and marketplace simulation to help advertisers compare alternatives and recognize valuable opportunities they may be missing. This is a hands-on technical leadership role with ownership of modeling direction, evaluation standards, and reusable production capabilities across advertiser planning and recommendations. What you’ll do Lead forecasting and scenario modeling. Translate advertiser questions into models of delivery, reach, performance, and investment tradeoffs. Set technical direction and guide execution across the team. Connect inventory, demand, and response. Combine forecasts of available advertising opportunities, audience activity, marketplace competition, and predicted response to estimate achievable delivery and performance. Estimate outcomes under alternative choices. Develop models that account for changes in budget, bid, audience, and optimization objective, including interactions among these choices, auction dynamics, and campaign constraints. Quantify unrealized opportunity. Incorporate creative-performance estimates from partner teams to assess how stronger creative could have improved campaign results. Translate those inputs into potential gains in delivery, efficiency, or advertiser value. Build models that generalize. Apply probabilistic forecasting, multitask learning, transfer learning, hierarchical modeling, or related approaches to handle sparse segments, cold start, delayed feedback, and changing conditions. Establish trustworthy comparisons. Evaluate numerical accuracy, calibration, uncertainty, and cohort-level performance. Define supported scenarios and identify when additional evidence or experimentation is needed. Close the learning loop. Compare recorded predictions with mature outcomes, diagnose systematic errors, and validate scenario estimates through experiments and observed results. Own production delivery and technical leadership. Partner with engineers on reliable training, serving, monitoring, and iteration. Lead designs, mentor engineers, and collaborate with Product, Data Science, Ads Delivery, Audience, and Creative teams. What we’re looking for A track record of developing and shipping predictive ML systems in advertising, marketplaces, recommendations, search, demand forecasting, or similarly complex domains. Strong foundations in statistical learning, probability, and optimization, with experience modeling large-scale behavioral or transactional data. Depth in one or more relevant areas: probabilistic or hierarchical forecasting, calibrated conversion/value prediction, multitask or transfer learning, delayed-feedback or survival modeling, or response modeling . Strong judgment in evaluation, including temporal validation, calibration, segment-level performance, and the assumptions required to estimate outcomes under changed conditions. Experience addressing sparse observations, cold start, seasonality, distribution shift, selection bias, or partially observed labels. Strong programming and software engineering skills, including experience building and operating production ML systems. Demonstrated ability to lead ambiguous technical initiatives, make practical tradeoffs, and develop other engineers. Preferred experience Complementary depth in one or more of: Demand, supply, and inventory forecasting: Advertising inventory, marketplace demand, traffic, retail demand, or capacity forecasting. Relevant methods include probabilistic time-series models, hierarchical/global forecasting, external-signal modeling, and multi-horizon prediction. Auction and investment modeling: Auction simulation or replay, conditional win-rate and price models, bid/budget response curves, or constrained optimization. Scenario evaluation: Counterfactual or off-policy evaluation, sensitivity analysis, uncertainty propagation, or composition of multiple predictive models. Reach and audience estimation: Population and overlap estimation, probabilistic reach/frequency models, sampling correction, or saturation modeling. Advanced predictive methods: Mixture-of-experts, distributional or quantile prediction, temporal sequence models, or state-space models. What success looks like Accurate and calibrated forecasts across priority advertiser populations; credible comparisons of supported campaign alternatives; reusable capabilities across planning and recommendations; and evidence that advertisers identify valuable opportunities and make better investment decisions. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-AK1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Mapbox UK Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT WE DO The Navigation team https://www.mapbox.com/navigation at Mapbox develops and operates web services powering virtually all of Mapbox’s strategic navigation initiatives in consumer, automotive, and logistics verticals. We are a highly multidisciplinary organization, with work spanning distributed systems on AWS to geospatial localization, traffic telemetry, and mapping. Collectively we are revolutionizing in-car experiences with technology to build fast, industry-leading maps and navigation for any vehicle. We’ve launched products such as MapGPT https://www.mapbox.com/mapgpt, Mapbox for EV https://www.mapbox.com/ev, and we’re enhancing the visual experience of in-vehicle navigation with 3D styling with our new Mapbox Standard through web and mobile SDKs. Mapbox has worked with automotive partners https://www.mapbox.com/automotive— including BMW, Toyota, and GM — to bring the best aspects of mobile app development into in-vehicle navigation and infotainment. - Mapbox Blog: Introducing 3D Live Navigation https://www.mapbox.com/blog/mapbox-3d-navigation - Mapbox Blog: Route Notifications Improve Driver Safety https://www.mapbox.com/blog/route-notifications-improve-driver-safety - Mapbox Newsroom: AI Features in New Navigation SDK https://www.mapbox.com/press-releases/mapbox-unveils-ai-features-in-new-navigation-sdk As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU’LL DO As a Machine Learning Engineer III on the Routing Cost team, you will lead the design, development, and delivery of highly trafficked recommendation systems for our routing cost engine. Your technical contributions will include: - Lead the engineering team(s) to execute end-to-end feature implementation within the larger navigation organization (~80 engineers). - Design and build new ML and data pipelines, as well as optimizing existing ML and data pipelines. - Build tools for automated quality assurance and data exploration. - Leverage geospatial algorithms to optimize pipelines, as well as creating automated tuning and outlier detection algorithms. - Partner with data scientists to make improvements to our models for determining patterns in movement and/or traffic. - Mentor colleagues and participate in code and design reviews. - Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - 8-10+ years of backend and ML experience: Extensive hands-on experience showcasing expertise and a strong track record in the engineering field. - Technical knowledge: Extensive experience with Python, distributed processing pipelines (Hadoop, Spark, Airflow, Dask), and very large datasets – statistical analysis, data quality control, optimizing storage. - Cloud proficiency: Extensive experience with cloud and infrastructure services, including, as well as deploying and managing infrastructure in cloud environments. - Operational excellence: You drive a culture of quality and continuous improvement in your organization. Strong passion for clean code and robust architecture, with a drive to elevate engineering practices and design standards across the team. - Ownership & execution: Own the technical vision, lead the strategy and guide the team to execute towards building the future of our routing cost engine. - Customer focus: You care deeply about your customers and their problems, and you work tirelessly to innovate on their behalf. - Growth mindset: Have the humility to accept mistakes, learn and grow from them. - Mentorship: Experience mentoring and leading engineering teams developing skill sets and career growth. - Strong written and vocal communication skills: You can talk and write about complex ideas concisely to a wide audience. You are able to lead and resolve org-wide technical discussions and are able to collaborate and include input from cross-functional teams (security, devops, data, compliance and product). - Data informed mindset: You believe in the value of data informed decision making and strive to measure things that are not straight forward but essential. You also have the right instincts to make speedy decisions in the absence of perfect & comprehensive data WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here.  Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.  We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.

Location: London Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE We’re hiring a Technical Support Engineer to lead our customer support experience for highly technical users, from AI engineers to infrastructure architects. You’ll be on the front lines helping teams debug production LLM applications and agents, improve AI observability and evaluations, and unblock critical issues. You’ll also help define what world-class technical support looks like for modern AI platforms KEY RESPONSIBILITIES - Be the go-to escalation point for technical support inquiries—diagnosing issues across customer setup, LangChain products, and deployment issues. - Work directly with engineering, operations, documentation, and product teams to resolve bugs, suggest patches, and advocate for customer needs. - Partner with Deployed Engineering to support critical enterprise customers. - Build and refine internal tooling, diagnostics, and runbooks for complex issue triage. - Lead post-mortems for critical incidents and feed learnings back into product and documentation. - Help refine KPIs for support health (MTTR, CSAT, bug recurrence) and drive continuous improvement. - Improve documentation and knowledge articles to improve 1-to-many resources and provide proactive support. - Mentor and coach other support engineers. How to be successful in this role - 4+ years in technical support, solutions engineering, or SRE roles in deeply technical B2B environments (e.g., observability, infrastructure, data platforms). - Expert troubleshooting skills across APIs, SDKs, distributed systems, and cloud-native stacks. - Programming experience with Python. Bonus if you have TypeScript experience. - Hands-on knowledge of Kubernetes and Docker - Comfort working with logs, traces, metrics in Datadog, and 3rd-party integrations (e.g., OpenTelemetry, LLM providers). - Experience supporting enterprise customers and collaborating with engineering on complex escalations. - A bias for clarity and continuous improvement: you write succinct, helpful, and accurate responses and build a foundation for case deflection. - High ownership — want to do what’s best for the customer and the company and are relentlessly results oriented Compensation & Benefits - Competitive salary and equity stake for role and stage of company. Commensurate with experience. - Annual salary range: £80,000 - £110,000 COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: 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 We are looking for an L3 Support Engineering Lead to help grow a small team responsible for resolving Nebius' most complex customer issues. This is a hands-on technical role that combines deep troubleshooting with day-to-day team leadership. You will provide technical direction, help organize the team’s work and step into complex investigations when your expertise is needed. You will not be expected to personally own every difficult ticket or manage the team from a distance. The L3 team works closely with L2 Support, pre-sales, post-sales, customer engineering and product teams. It brings deeper subject-matter expertise to issues that require advanced investigation or a broader understanding of the Nebius platform. This is a remote position in North America. Your responsibilities will include: Lead and support a small, distributed team of L3 Support Engineers. Help plan, prioritize and distribute work based on customer impact, technical complexity and team capacity. Provide technical guidance and hands-on support for complex or high-impact customer issues. Coach engineers, share knowledge and help the team become increasingly independent. Build strong working relationships with L2 Support, pre-sales, post-sales, customer engineering, product and engineering teams. Make sure escalations include the technical context, evidence and customer information needed by the receiving team. Identify whether an issue belongs to the platform, a customer environment or another technical area, and involve the appropriate specialists . Maintain high standards for troubleshooting, documentation, handoffs and customer communication Identify recurring issues and gaps in tooling, documentation, processes or team knowledge, and help drive practical improvements. Support team planning, coverage and forecasting as the organization grows. Participate in scheduled operational or duty work when specialist expertise is required . This may occasionally include work outside standard business hours. Contribute to hiring and onboarding additional engineers as the team expands. We expect you to have: Strong hands-on experience troubleshooting complex production, cloud or infrastructure-related issues. Experience leading technical work, mentoring engineers or coordinating a small team or task force. Clear and confident communication with customers, engineers and cross-functional stakeholders. Strong working knowledge of Linux environments. Experience with Kubernetes and container-based platforms. A practical understanding of infrastructure fundamentals, including networking and storage. Familiarity with block, file and object storage and the ability to investigate issues across these technologies Sound judgment when working through ambiguous or high-impact technical problems. The ability to organize work, set priorities and keep multiple stakeholders aligned. You do not need to be an expert in every technical area. We are looking for someone with broad familiarity across the following domains and deeper expertise in at least one: AI and ML operations, such as model deployment, fine-tuning, inference or performance troubleshooting. Workload scheduling in GPU or high-performance computing environments, including tools such as Slurm . Kubernetes and its supporting technology stack. Cloud infrastructure, networking and storage. Fluent written and spoken English. It will be an added bonus if you have: Experience supporting GPU cloud infrastructure or AI/ML workloads. Experience planning or troubleshooting model deployments. Familiarity with Python or Bash scripting and technical automation. Experience working in a technical support, SRE, production operations or customer engineering organization. Experience collaborating with globally distributed teams that provide 24/7 customer coverage. Key employee benefits in the US: 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. Base Compensation Range $179,500 — $224,300 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.