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Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll own how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You’ll help set the research direction and carry ideas from experiments through training runs to models used by customers. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their work to reach users quickly. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows. - Design and run post-training experiments across SFT and RL, building on leading open-weight models. - Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break. - Run and debug training at scale, addressing divergence, reward hacking, and instability. - Build and use rigorous evals to track improvements and decide what ships. - Design, implement, test, and debug code across our research stack. WHAT YOU HAVE - Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results. - Deep ML fundamentals and experience getting distributed training runs working reliably. - Strong engineering skills in Python, with production-quality code and end-to-end system ownership. - Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote Workplace: Remote WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll own how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You’ll help set the research direction and carry ideas from experiments through training runs to models used by customers. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their work to reach users quickly. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows. - Design and run post-training experiments across SFT and RL, building on leading open-weight models. - Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break. - Run and debug training at scale, addressing divergence, reward hacking, and instability. - Build and use rigorous evals to track improvements and decide what ships. - Design, implement, test, and debug code across our research stack. WHAT YOU HAVE - Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results. - Deep ML fundamentals and experience getting distributed training runs working reliably. - Strong engineering skills in Python, with production-quality code and end-to-end system ownership. - Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: London Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll own how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You’ll help set the research direction and carry ideas from experiments through training runs to models used by customers. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their work to reach users quickly. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows. - Design and run post-training experiments across SFT and RL, building on leading open-weight models. - Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break. - Run and debug training at scale, addressing divergence, reward hacking, and instability. - Build and use rigorous evals to track improvements and decide what ships. - Design, implement, test, and debug code across our research stack. WHAT YOU HAVE - Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results. - Deep ML fundamentals and experience getting distributed training runs working reliably. - Strong engineering skills in Python, with production-quality code and end-to-end system ownership. - Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required. We are hiring for this role across multiple levels. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you’ll own how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You’ll help set the research direction and carry ideas from experiments through training runs to models used by customers. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their work to reach users quickly. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows. - Design and run post-training experiments across SFT and RL, building on leading open-weight models. - Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break. - Run and debug training at scale, addressing divergence, reward hacking, and instability. - Build and use rigorous evals to track improvements and decide what ships. - Design, implement, test, and debug code across our research stack. WHAT YOU HAVE - Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results. - Deep ML fundamentals and experience getting distributed training runs working reliably. - Strong engineering skills in Python, with production-quality code and end-to-end system ownership. - Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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. Location: Austin, TX About the Role We are seeking a Data Center Design Engineer to design Cloudflare’s pending and future infrastructure deployments for generational improvement in cost, quality, and speed of deployment. In this role, you will lead electrical design and end-to-end execution for new sites, expansions, and infrastructure upgrades supporting compute, storage, and high-density liquid-cooled GPU deployments. We are looking for someone who excels at progressing many projects in parallel, managing dynamic day-to-day priorities with many stakeholders, and serving as Cloudflare's owner's representative to refine data center design best practices in a high-growth environment. Getting stuff done is a must! The Data Center Strategy team is part of Cloudflare’s global Infrastructure (INF) team. The INF team grows and manages Cloudflare’s global data center/PoP footprint, enabling Cloudflare’s tremendous growth with compute, network, and data center infrastructure, utilizing an extensive range of global partner vendors. What you'll do: Translate data center capacity requirements into actionable white space design and/or rack plans within individual data center contract constraints for power, coolingManage implementation phase of cage projects with data center providersDesign low voltage structured cabling, fiber, cross-connect & conveyance infrastructure as well as any supporting infrastructure on the data center ceiling/floorWork with supply chain team on rack integration plans and location deployment qualification Work cross-functionally with Cloudflare data center engineering team and other internal teams (capacity planning, network strategy, security) to verify scope and solution and create repeatable standard installation procedures Take ownership of and lead projects to design and implement data center expansions or new data centers on tight deadlines with minimal oversight Technical support in negotiations with external data center partners Assist in RFP preparation, review and cost/engineering analysis Review one-line diagrams and cooling equations for new and existing data centers (Data Center M&E) Power component (PDU) review/approval for Hardware sourcing team Implement, document and maintain power consumption tracking tools and fulfil ad-hoc reporting requests Research new and innovative power efficiency technologies and programs Travel up to 25% to perform infrastructure audits, validate data center construction work and buildouts, and participate in commercial processes. Develop and execute modular and prefabricated data center construction strategies to accelerate time-to-market and optimize cost efficiency Perform electrical short-circuit, coordination, arc flash, and load flow engineering studies to ensure system reliability and compliance Other duties as assigned Partner with Hardware Sourcing and SRE/Infrastructure teams to validate PDU specifications, rack integration plans, and power distribution topologies across global PoP footprints Lead electrical design and end-to-end execution for new sites, expansions, and infrastructure upgrades from site qualification and basis of design through energization, commissioning, and operational handover Serve as Cloudflare's electrical owner's representative, defining design criteria, scopes, deliverables, responsibility matrices, review gates, and acceptance requirements for data center operators, consulting engineers, contractors, commissioning agents, utilities, and vendors Design and review utility-to-rack infrastructure, including utility service, transformers, switchgear, generators, UPS systems, transfer systems, modular and prefabricated electrical assemblies, busway, feeders, whips, rack PDUs, grounding, and metering Define electrical interfaces and auxiliary-load requirements for direct-to-chip liquid cooling, coolant distribution units (CDUs), pumps, controls, leak detection, facility water systems, and heat-rejection equipment Develop and review basis-of-design documents, single-line diagrams, specifications, equipment schedules, calculations, sequences of operation, and interface control documents Oversee technical acceptance of FAT, SAT, Level 1–5 staged commissioning, integrated systems testing, failure-mode testing, deficiency closure, and turnover documentation Define EPMS, metering, telemetry, and capacity-tracking requirements for operational power and capacity management Requirements Bachelors or equivalent experience plus 5+ years of experience in data center mechanical and electrical design and operations/deployment/installation, P.E. certification or equivalent a plus Experience in HVAC, Chilled Water Systems, Condenser Water Systems, Pump controls, Glycool/Glycols, AHU units (DX, split, RTU, CRAC, etc.), CRAH, Raised Floor Systems, HOT/COLD aisle containment and Building Management Systems Understanding of basic electrical theory (voltage, current, power), basic circuit design & analysis, and single- and three-phase power systems Familiarity with Data Center M&E infrastructure design concepts, electrical/UPS topologies, cooling methodologies (central plant, room cooling, high density thermal strategies) Familiarity with industry standards for resilient Data Center design and Uptime Institute Tier Classifications Excellent verbal, written communication and presentation skills Experience working with multiple time zones and multiple cross-functional teams Experience working on time sensitive projects with delivery responsibility under pressure Understanding of network hardware architecture, data center switching/routing infrastructure, and optical line/transceiver power and thermal profiles Experience acting as an owner's technical representative, governing external delivery partners, reviewing third-party designs, resolving technical disputes, and driving noncompliance and project risks through documented closure Expertise in medium- and low-voltage distribution, transformers, generators, UPS systems, switchgear, transfer systems, busway, grounding, protection, and rack-level power architectures for high-density deployments Understanding of direct-to-chip liquid cooling and the electrical dependencies of CDUs, pumps, controls, facility water systems, and heat-rejection equipment Experience with construction administration, equipment testing, energization planning, staged commissioning, integrated systems testing, deficiency management, and failure-mode testing Experience with utility coordination, design-deviation governance, power-quality or incident investigations, and lifecycle management of mission-critical electrical infrastructure Bonus Points Degree in electrical/mechanical engineering or IT a plus Experience in large-scale mission critical facility infrastructure design, construction, commissioning, and/or operations a plus Experience with industry standards and building codes including NFPA 70/NEC, IEEE, NEMA, ANSI, UMC, ASHRAE, UBC, LEED, and Uptime Institute standards Knowledge of programming languages a plus JIRA, Confluence admin-level experience a plus AutoCAD experience a plus Experience with FLOTHERM or Tileflow a plus Hands-on experience with hardware validation, power/cooling capacity modeling, or thermal simulation tools (such as FLOTHERM or Tileflow) Familiarity with systems programming, scripting (Python, Go, or Bash), or automation workflows for power/infrastructure tracking Experience with NVIDIA DGX, GB200/GB300 NVL, OCP Open Rack, or comparable liquid-cooled GPU platforms and AI factory reference architectures Experience with ETAP, SKM PowerTools, EasyPower, or equivalent software for dynamic modeling, generator transient analysis, harmonic analysis, and UPS compatibility assessment Experience with EPMS/BMS integration, branch-circuit monitoring, rack-level telemetry, metering, capacity forecasting, or automated infrastructure reporting 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: Canada, Vancouver, BC Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. Location: Vancouver, Canada Employment Type: Full-Time, 6-Month Fixed-Term Contract Work Arrangement: On-Site ABOUT THE ROLE We are looking for a Robotics Test & Validation Engineer to join our Vancouver team on a 6-month, full-time fixed-term contract, supporting the testing, characterization, and validation of advanced robotic components and subsystems. You will work hands-on with robotic actuators, joints, mechanisms, grippers, and dexterous robotic hands, helping ensure that our hardware meets performance, reliability, and safety requirements. Working closely with Mechanical, Electrical, Controls, and Embedded Software engineers, you will develop and execute test procedures, build test fixtures, analyze performance data, and contribute to continuous design improvements. This position offers the potential to transition into a permanent, full-time role based on individual performance, business needs, and future opportunities within the team. This is an exciting opportunity for an early-career or intermediate engineer to gain hands-on experience in robotics testing, actuator characterization, automated validation, and hardware development while learning from experienced robotics professionals. WHAT MAKES THIS ROLE EXCITING - Work hands-on with advanced humanoid robotic hardware, including actuators, joints, grippers, and dexterous robotic hands. - Develop and execute tests that directly influence the performance, reliability, and safety of next-generation humanoid robots. - Gain practical experience in actuator characterization, sensor calibration, motor control, and automated testing. - Build and improve custom test rigs and validation systems for complex electromechanical components. - Collaborate with a multidisciplinary robotics team spanning mechanical, electrical, controls, and embedded software. - See your testing and engineering insights directly contribute to real robotic hardware improvements. WHAT YOU’LL DO - Design, plan, and execute test procedures for robotic actuators, joints, mechanisms, grippers, and robotic hands, ensuring performance against engineering requirements. - Build, assemble, and maintain test fixtures, test rigs, and measurement setups for functional, dynamic, endurance, and reliability testing. - Perform actuator and sensor calibration, including encoders and motor control loops for current, velocity, and position, under the guidance of Controls engineers. - Support actuator and subsystem characterization, measuring parameters such as torque output, friction, inertia, backlash, stiffness, thermal behavior, efficiency, and backdrivability. - Develop and improve automated test procedures and hardware/software test setups to evaluate motor performance, force output, operating limits, and system reliability. - Conduct lifecycle, stress, thermal, endurance, and environmental testing on robotic components and subsystems. - Collect, analyze, and interpret test data, identifying performance trends, anomalies, and potential failure modes. - Prepare clear test reports, performance summaries, and validation documentation, communicating findings to engineering teams. - Work closely with Mechanical, Electrical, Controls, and Embedded Software engineers to identify root causes of hardware failures and support design improvements. - Collaborate with design engineers to define testable requirements, acceptance criteria, tolerances, and performance metrics. - Support incoming quality inspections, assembly-level verification, and hardware troubleshooting. - Assist with closed-loop actuator testing, evaluating system behavior, stability, and response under different operating conditions. - Maintain organized test documentation, procedures, results, and equipment records. - Contribute to improvements in testing efficiency, automation, repeatability, and validation processes. WE’RE LOOKING FOR - 1–4 years of relevant hands-on experience in robotics testing, hardware validation, mechatronics, electromechanical systems, or a related technical field. - Bachelor's degree or technical diploma in Mechanical Engineering, Electrical Engineering, Mechatronics, Robotics, or a related discipline, or equivalent practical experience. - Hands-on experience testing, troubleshooting, or validating mechanical, electrical, or electromechanical systems. - Understanding of electric motors, actuators, sensors, mechanical mechanisms, and basic control systems. - Experience working with laboratory and measurement equipment, such as oscilloscopes, multimeters, power supplies, force sensors, and data acquisition systems. - Familiarity with test procedures, data collection, performance measurements, and technical reporting. - Basic understanding of motor control principles, including current, velocity, and position control. - Experience with Python, MATLAB, LabVIEW, or similar tools for test automation, data analysis, or engineering calculations. - Ability to read and interpret mechanical drawings, electrical schematics, and technical documentation. - Strong analytical and practical problem-solving skills, with the ability to identify issues and support troubleshooting activities. - Good attention to detail when performing precision measurements, calibration, and hardware testing. - Ability to collaborate effectively with Mechanical, Electrical, Controls, and Embedded Software engineering teams. - Comfortable working in a fast-paced R&D environment with evolving hardware designs and testing priorities.   WHAT WE OFFER - Enjoy a modern Vancouver office environment with complimentary daily lunches, coffee, tea, soft drinks, and snacks. - Gain hands-on experience developing next-generation humanoid robots. - Opportunity for long-term career growth, with the potential to transition from a 6-month fixed-term contract into a permanent, full-time position. - Work directly with advanced robotic hardware and complex electromechanical systems. - Learn from a highly experienced, multidisciplinary robotics engineering team. - Contribute to real engineering projects, from prototype assembly through testing and validation. - Build valuable technical experience in a fast-paced robotics startup environment. - Join a collaborative, mission-driven team working at the forefront of humanoid robotics.

Location: San Francisco Asana is hiring a Head of IT Systems Engineering to lead the team that powers how every Asana employee works. Reporting to the Head of IT, this San Francisco-based leader owns the strategy, architecture, and operations behind our SaaS productivity applications, corporate endpoints, identity, and user lifecycle, setting the standards and roadmap that keep every employee secure and productive. You will also influence the way Asana evaluates, adopts, and governs the tools and platforms our employees rely on. You will be responsible for the Client Platform Engineering, Application Engineering, and Identity & Integrations teams, who deliver this work. This role has one manager level report. You ask good questions, are confident in not knowing everything, and would rather build with others than go it alone. You are crisp and detail oriented, but comfortable working outside the boundaries when the situation calls for it. You bring a proven record of success, a passion for technology, and, like us, you value hard work and fun in equal measure. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Develop the multi-year vision, roadmap, and architecture for Systems Engineering, aligned with Asana’s business priorities and Asana’s broader AI strategy Accelerate an Agentified Asana, helping teams across Asana embrace our tools and reduce the friction of manual work. Partner with leaders across Asana to build and maintain an efficient and effective portfolio of SaaS tools to enable all Asanas to do their best work. Lead, develop, and grow the Client Platform Engineering, Application Engineering, and Identity & Integrations teams, including hiring, performance management, succession planning, and career development Own the strategy and operation of corporate endpoint management, SaaS application management, identity, and the full user lifecycle Drive IT’s AI strategy, from evaluating and governing platforms such as Claude, Gemini, and OpenAI to building AI agents and automation for onboarding, access requests, support, and compliance workflows Partner with Security, Legal, and Privacy to set AI usage policies, data access controls, and vendor risk standards, including identity-based access and data loss prevention for AI tools and integrations Set client platform standards and drive excellence in system performance, patching, and configuration compliance Partner with IT Support, IT Infrastructure, and Security leadership to resolve issues, reduce risk, and improve the employee experience Represent Systems Engineering to senior stakeholders, communicating priorities, tradeoffs, and results clearly About you 10+ years of IT experience, including 5+ years directly leading teams of systems engineers and software engineers in a fast-paced, cloud-first environment Proven ownership of purchasing, inventory management, and budgeting at scale Strong, hands-on knowledge of current IAM practices and cloud-based identity, SSO, SAML, and SCIM Experience with hosted cloud applications, including Okta, Google Workspace, Asana, Figma, and Slack Experience establishing governance for emerging technology, including AI usage policy, data protection, and vendor risk review Track record of setting strategy and roadmaps, then delegating effectively while staying close enough to the details to coach and unblockExperience with configuration management and automation tools such as JAMF, Intune, Puppet, and Munki Working knowledge of scripting and API integration (REST, OAuth, Python, PowerShell, Bash, or equivalent) Hands-on experience with enterprise AI platforms such as Claude, and OpenAI, including deployment, administration, and integration through APIs, connectors, and MCP servers Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making How you work A strong mix of problem solving and a positive, service-oriented attitude Excellent communication and documentation skills, with the ability to influence senior stakeholders and cross-functional partners Curiosity and a bias toward experimenting with AI in your own work, and the ability to lead a team through rapid change At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $252,000 - $296,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-SA About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Distributed 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: Montreal, QC Professional working proficiency in French & English (written and spoken) is required. (Compétence professionnelle complète en français, à l'oral et à l'écrit, requise.) What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications Professional working proficiency in French & English (written and spoken) is required. (Compétence professionnelle complète en français, à l'oral et à l'écrit, requise.) Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services,  Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role will require travel up to 20–50% to attend customer meetings, conferences, industry events, and other in-person team meetings, within the assigned territory. For this reason, candidates must have reliable personal or local public transportation to complete all required travel. Required travel is reimbursable in accordance with the Company's Travel & Expense Policy, as it may be amended from time to time. 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: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. UP (Unified Platform) consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge. We work from high-level requirements where programmers are expected to gain an intimate understanding of the business. We strive for an environment where developers have the autonomy to pursue business solutions without arbitrary management constraints. We are a group of polyglots and technologists always seeking to find the right tool for each problem. Broadly, the development teams at DRW believe in rapid deployment and feedback, automated testing, and cohesive, transparent, lightly coupled service architectures. The Pricing and Derived Data team within UP is seeking an outstanding Senior Software Engineer to join us in building a new data platform that provides intra-day and end-of-day prices across the firm. The team is responsible for pricing millions of instruments across many asset classes and exchanges in near-real-time. Clients range from trading systems needing low-latency updates to researchers working with large historical datasets. Our current architecture is written mostly in Elixir, which we enjoy and derive great value from. Inter-service streaming communication is over gRPC and the data layer comprises PostgreSQL, Kafka, and ClickHouse. Demand for our services is growing rapidly across a variety of access patterns, and we are now building a comprehensive data platform as an extension of our existing system to meet this demand. This position presents an opportunity to shape the future direction of our work. The successful candidate will play a key role in answering questions such as: How do we guarantee that a client sees the same prices whether they query the warehouse, subscribe to a stream, or call our gRPC API? How do we let clients load a snapshot and then switch to live updates with no gaps or duplicates? What parts of our systems should stay in Elixir, and where should we consider other technologies? Experience We are looking for strong senior generalists who have a considerable experience building data products. Candidates should be able to provide examples of significant projects that they have led from design through to operating in production, including responsibility for architectural decisions. We are interested in hearing from candidates who have had to choose between technologies and can talk to us about why they would or would not make that choice again. Relevant areas include event streaming, change data capture, open table formats and stream and batch processing. Associated technologies include Kafka, Delta Lake, Iceberg, ClickHouse, Spark, and Flink. We are interested in a deep understanding of the architectural requirements that these technologies are suitable for rather than years of experience in a specific one of them. Prior experience in Elixir or in the financial domain is not required, but candidates should be interested in working in these areas. Examples of projects you may have led include: Designing and building a high-volume and/or low-latency data processing system, including ingestion, storage, and distribution. Scaling an ingestion pipeline handling thousands, or tens of thousands of events per second on a single node (optimisation) and/or across multiple nodes (distribution). The operation and support of a data product which has time- and correctness-sensitive delivery requirements. Personal traits We value: Humility and respect for others, and trust in our teammates. The ability to learn, adapt and grow. The capacity to independently drive projects to completion, but a preference to collaborate with teammates. Excellent listening and communication skills The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-SH1

Location: NYC (SoHo) Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. As a Support Engineer you are at the forefront of helping those developers create. In a given day you’ll help folks with all sorts of things ranging from general Replit usage questions, identifying and debugging issues on the platform and helping to build and maintain the tools we use. We use tools like Zendesk, Linear, Slack, and Replit itself to get the job done. We also value solving the problems we can ourselves. We have a number of tools we build and maintain ourselves. You will work on a small, global team of support specialists and engineers united by Replit's mission to make the next billion software creators. Together, you'll ensure developers worldwide have the support they need to bring their ideas to life. IN THIS ROLE YOU WILL: - Work directly with Replit customers via support tickets to solve technical product issues, bugs, and provide technical guidance while meeting daily ticket volume and resolution time targets. - Collaborate with the rest of the Support team in telling the story of our users to the rest of Replit. - Directly contribute to and maintain the Support team's Knowledge Base. - Support customer-facing communications for outages and incidents and swiftly report ongoing bugs for Eng to triage and fix. REQUIRED SKILLS AND EXPERIENCE: - Prior experience in software development or relevant technical support experience - Proven ability to work efficiently in fast-paced, high-volume support environments with strict productivity metrics. - Strong time management and ticket triage skills with comfort in performance tracking and regular reporting. - Excellent communication skills with initiative to ask questions when encountered with the unknown. - Experience with support tools and ticketing systems (e.g. Zendesk) NICE TO HAVE: - Has used Replit in the last 3 to 6 months. - Experience working with IDEs, terminals, or other common developer tools. - Experience with AI tools (Claude, ChatGPT, etc.) WHAT WE VALUE: - Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions - Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams - Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences - Continuous learning: Passion for staying current with industry best practices and new technologies - Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems This is a full-time role that can be held from our NYC (SoHo) office. The schedule follows a Saturday through Wednesday work week, with an in-office requirement on Mondays and Wednesdays. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. As a Support Engineer you are at the forefront of helping those developers create. In a given day you’ll help folks with all sorts of things ranging from general Replit usage questions, identifying and debugging issues on the platform and helping to build and maintain the tools we use. We use tools like Zendesk, Linear, Slack, and Replit itself to get the job done. We also value solving the problems we can ourselves. We have a number of tools we build and maintain ourselves. You will work on a small, global team of support specialists and engineers united by Replit's mission to make the next billion software creators. Together, you'll ensure developers worldwide have the support they need to bring their ideas to life. IN THIS ROLE YOU WILL: - Work directly with Replit customers via support tickets to solve technical product issues, bugs, and provide technical guidance while meeting daily ticket volume and resolution time targets. - Collaborate with the rest of the Support team in telling the story of our users to the rest of Replit. - Directly contribute to and maintain the Support team's Knowledge Base. - Support customer-facing communications for outages and incidents and swiftly report ongoing bugs for Eng to triage and fix. REQUIRED SKILLS AND EXPERIENCE: - Prior experience in software development or relevant technical support experience - Proven ability to work efficiently in fast-paced, high-volume support environments with strict productivity metrics. - Strong time management and ticket triage skills with comfort in performance tracking and regular reporting. - Excellent communication skills with initiative to ask questions when encountered with the unknown. - Experience with support tools and ticketing systems (e.g. Zendesk) NICE TO HAVE: - Has used Replit in the last 3 to 6 months. - Experience working with IDEs, terminals, or other common developer tools. - Experience with AI tools (Claude, ChatGPT, etc.) WHAT WE VALUE: - Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions - Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams - Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences - Continuous learning: Passion for staying current with industry best practices and new technologies - Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems This is a full-time role that can be held from our Foster City, CA office. The schedule follows a Saturday through Wednesday work week, with an in-office requirement on Mondays and Wednesdays. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: GE; PL Workplace: remote Overview: We invite you to join our Data Platform team — building the data infrastructure that powers analytics and insights for SOFTSWISS. We process enterprise-scale data and serve multiple internal teams across the company. In this role, you’ll have the opportunity to: Work with modern data stack and AI tools to build complex solutions Design solutions to technical challenges and influence platform architecture Research, develop and integrate new data processing tools and technologies Key responsibilities: Build business-critical, robust and self-service data products using Apache Spark, Kafka, Delta Lake and other big data technologies Ensure pipeline performance and data quality through scalable architecture and optimization Refine data solutions as business requirements and technical constraints evolve Collaborate with teams to understand data needs and support adoption of data products across the company Required Experience: 5+ years of software engineering experience with expertise in development, deployment, and integration Proficiency in at least one high-level programming language (Scala, Java, Python or equivalent) Experience in data environments, such as Data Lakes, Data Warehouses, Data Marts, Data transformation concepts and working with large data volumes Experience in building ETL pipelines to perform feature engineering on large-scale datasets using Apache Spark and Delta Lake Experience with sourcing and modelling data from application APIs Experience with building stream-processing applications using Spark-Streaming, Kafka Streams or others Experience designing and implementing monitoring, alerting, and observability solutions for data pipelines using Prometheus, Grafana, Alertmanager or others Strong analytical and problem-solving skills Upper-intermediate proficiency in English and strong command of Russian Nice to have: Experience with workflow orchestration tools such as Apache Airflow Experience with Kubernetes and containerization Familiarity with cloud platforms (AWS, GCP, Azure, OCI) Familiarity with CDC and Debezium Familiarity with Clickhouse Familiarity with data quality validation frameworks for data pipelines Familiarity with Data Lineage Familiarity with low-latency NoSQL datastores (such as HBase, Cassandra, MongoDB), Relational databases (such as MySQL, Postgres) and Search systems (such as ElasticSearch, Solr) Masters, PhD, or equivalent experience in Software Engineering, Mathematics or Computer Science Main Advantages Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events

RELOCATION TO UAE | JAYA TALENT Abu Dhabi 🇦🇪 can be remote for 3 months, with relocation after Office-based, few times per week Senior / Tech Lead level Build and scale high-performance AI inference with a sharp, fast-moving team!

Задачи: – Разработка и рефакторинг ETL/ELT пайплайнов на pyspark; – Разработка и поддержка OLAP движков Starrocks/Clickhouse; – Поддержка текущих пайплайнов на Greenplum и Hadoop; – Миграция с HDFS на S3; – Оптимизация spark-приложений. Требования: – Опыт работы с Python от 3 лет; – Глубокое знание SQL и опыт работы с большими данными; – Опыт работы с Apache Airflow; – Опыт проектирования и разработки ETL/ELT процессов; – Опыт работы с колоночными БД (ClickHouse); – Знание принципов построения Data Warehouse и Data Lake; – Понимание разницы между OLTP/OLAP системами; – Уверенная работа c linux и git; – Понимание процессов ci/cd.

- 5+ лет опыта в SRE / высоконагруженной инфраструктуре. - Глубокие знания Linux, MySQL / Galera, сетей (TCP/IP, DNS, BGP, VPN) и систем хранения.

Location: Chicago, New York City, London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Data Ecosystem team is an important part of DRW’s Unified Platform (UP) organization, building the platform capabilities, managed infrastructure, and metadata management systems that underpin our common query layer and power thousands of batch and streaming pipelines delivering data across DRW. As a Senior Data Engineer in our Unified Platform organization, you will design, build, and operate the data platform and managed services used by Traders, Quantitative Researchers, and Back-Office personnel. You will own engineering projects and service components, work directly with platform users to solve technical problems, and contribute to metadata management and governance capabilities. This is a hands-on role combining technical design ownership, software development, production support, and mentorship within the broader platform architecture. Key Responsibilities Design, build, and operate managed platform services for data storage, distributed query execution, batch and streaming processing, and workload orchestration. Own technical designs and implementation decisions for services and components within the broader platform architecture, and lead their delivery from requirements through deployment and support. Automate provisioning, configuration, upgrades, and monitoring for managed services, reducing manual operations and improving consistency across deployments. Build and integrate metadata management tools, including data catalogs and lineage tracking, to help users discover datasets and understand their structure, ownership, and dependencies. Implement schema governance, data quality checks, access controls, and usage tracking in line with established policies, working with security and data stakeholders on technical requirements. Work with users of managed services to diagnose integration and performance issues, clarify technical requirements, and improve the services their workloads depend on. Improve the reliability and performance of managed services and shared processing infrastructure through observability, capacity management, and testing. Participate in production support and incident response for these services, resolving root causes and maintaining operational runbooks. Deliver platform upgrades and data migrations with appropriate validation and compatibility checks to protect downstream workloads. Lead design and code reviews for the services you own, document technical trade-offs, and contribute improvements to architectural patterns shared across the team. Mentor less experienced engineers through hands-on collaboration and feedback, promoting maintainable code, automated testing, and sound operational practices. Required Qualifications 7+ years of experience working with modern data technologies and/or building data-intensive distributed systems. Expertise in Java and/or Python, with a proven ability to deliver high-quality, maintainable production software, and strong familiarity with SQL, Bash, and Linux environments. Experience building and operating managed data or infrastructure services offered to other teams, including operational automation and production support. Demonstrated ownership of engineering projects or service components from technical design through deployment and ongoing operation. Strong understanding of distributed systems trade-offs, including fault tolerance, concurrency, partitioning, and recovery from partial failures. Production experience with batch and streaming systems, including practical knowledge of state management, retries, replay, and data consistency. Experience with data processing or query technologies such as Flink, Spark, or ClickHouse , and the ability to evaluate their performance and operational trade-offs. Experience with multiple storage technologies, including object storage, relational or NoSQL databases, and event streaming systems such as Kafka. Familiarity with open table formats such as Iceberg or Delta Lake. Practical experience with data modeling, schema governance and evolution, and data quality controls. Experience integrating metadata management, data cataloging, or lineage capabilities into data systems. Experience with data formats and serialization systems such as Arrow, Parquet, Protobuf , or Avro. Experience with cloud-native data infrastructure, including Kubernetes, workflow orchestration, automated deployment, and production monitoring. Strong communication and problem-solving skills, with the ability to troubleshoot issues with platform users, collaborate across teams, prioritize competing work, and deliver in a fast-paced trading environment. Desirable Qualifications Experience extending or scaling data catalogs or lineage tracking tools across multiple storage and compute technologies. Experience implementing access controls, usage tracking, or other governance capabilities in shared data environments. Familiarity with financial datasets and the needs of trading, quantitative research, or back-office users. The annual base salary range for this position is $160,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-TL1]

Workplace: Удалённый, Офис, Гибридный Команда экспериментальных финтех‑проектов создаёт финансовый сервис на базе AI‑агентов. Мы ищем AI Engineer с опытом коммерческой разработки от пяти лет. Вам предстоит разрабатывать агентные сценарии, интегрировать LLM с сервисами и данными, проверять гипотезы и доводить решения до запуска. Мы — команда экспериментальных финтех‑проектов в Яндексе, создаём финансовый сервис на базе AI‑агентов. Наша задача — превратить возможности языковых моделей в работающий продукт. Ищем AI Engineer. Вам предстоит разрабатывать агентные сценарии, интегрировать LLM с сервисами и данными, проверять гипотезы и доводить решения до запуска. Работа затронет весь пользовательский сценарий: от взаимодействия с AI до изменений в бэкенде и мобильном приложении. Мы ценим самостоятельность, короткие итерации и готовность экспериментировать. У вас будет возможность влиять на технические решения и развитие продукта. Обязанности Разработка AI-агентов Вы будете проектировать и создавать AI-агентов: подбирать инструменты, настраивать контекст и прорабатывать логику взаимодействия с сервисами, чтобы агенты решали задачи пользователей. Интеграция языковых моделей Вы будете встраивать языковые модели в сценарии продукта, создавать нужные серверные компоненты и соединять их с мобильным приложением. Оценка качества Вы будете оценивать ответы и действия агентов, составлять проверочные сценарии, разбирать ошибки и дорабатывать решения, чтобы повысить их надёжность. Проверка гипотез Вы будете быстро собирать MVP и проверять работу новых решений на практике. Успешные эксперименты нужно будет развивать и превращать в полноценные фичи продукта. Разработка с применением AI‑инструментов Вы будете применять AI‑инструменты в разработке, сохраняя контроль над архитектурой и качеством кода. Больше о бэкенде в Яндексе — в канале Yandex for Backend Требования * Имеете больше пяти лет опыта коммерческой разработки: мобильных приложений, бэкенда, ML, инфраструктуры * Работали с LLM и создавали решения на их основе * Понимаете, как организовать контекст модели, вызовы инструментов и проверку результатов * Умеете проектировать сервисы и API, писать код, готовый к эксплуатации * Используете AI‑агентов для разработки и умеете проверять результаты их работы * Готовы разбираться в разных компонентах продукта и самостоятельно доводить задачи до результата * Умеете выбирать достаточное решение для эксперимента и понимаете, что потребуется для его масштабирования Будет плюсом * Запускали и развивали AI‑продукты с реальными пользователями — от прототипа до промышленной эксплуатации * Разрабатывали многошаговые агентные сценарии с управлением контекстом, состоянием диалога и вызовами инструментов * Создавали автоматизированную оценку качества агентов: тестовые наборы, сравнение моделей и промптов, выявление регрессий * Оптимизировали LLM‑приложения по качеству, скорости ответа и стоимости работы * Разрабатывали сервисы на Kotlin или Java, работали с асинхронной обработкой данных и событийной архитектурой * Имеете опыт фулстек‑разработки — от интерфейса до инфраструктуры

Location: Lisbon, Portugal At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car , a Woolly Mammoth’s Skeleton , Lady Gaga's Jumpsuit or Usain Bolt’s running shoe , we encounter exceptional objects every day. We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts. Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us. Taking ownership and driving impact Being open to change and feedback Being passionate about our mission and our customers. Your Mission At Catawiki, our Platform Horizontal has evolved from solely managing the cloud into a broad function supporting Reliability, Developer Experience, Security, and Quality. We take a holistic approach to creating systems and tools that help developers deliver applications seamlessly and reliably without getting bogged down in infrastructure complexity. As a Platform Engineer , you’ll work at the intersection of development, infrastructure, and operations. You’ll help shape and execute our long-term platform vision, empowering Catawiki teams to deliver value to customers with speed, reliability, and security. What You'll Do You’ll build and improve the platform capabilities that enable our engineering teams to develop, deploy, and operate applications effectively at scale. Build a self-service developer platform with a particular emphasis on developer experience, designing and maintaining platforms that abstract complexity and give teams the tools to deploy, monitor, and optimise their applications. Orchestrate cloud-native infrastructure , manage Kubernetes clusters and other cloud resources, focusing on performance, scalability, and cost efficiency through FinOps practices. Boost developer productivity by building and enhancing CI/CD pipelines, GitOps workflows, and reusable templates that accelerate development and deployment cycles. Drive reliability and scalability through applying practices for fault tolerance, disaster recovery, and scaling so applications run smoothly under changing conditions. Improve platform operations usage and enhance our observability stack to monitor platform health and resolve incidents proactively. Collaborate and innovate by partnering with product teams to understand their needs, build simple and impactful solutions, and champion cloud-native best practices across Catawiki. What You'll Bring You measure what matters, introduce changes gradually, and treat failure as a normal part of learning. You use tooling and automation wherever possible to reduce toil, and enjoy sharing knowledge with others. Cloud-native expertise : At least 5 years of production experience with Kubernetes, container orchestration, and cloud platforms such as GCP, AWS, or Azure. Automation mindset : Experience automating workflows and CI/CD pipelines and working with infrastructure-as-code tools such as Terraform or Ansible. Observability experience : Hands-on experience using and maintaining tools such as Prometheus, Grafana, ELK, or OpenTelemetry to improve reliability and performance. Strong ownership : You proactively address platform issues and work toward long-term scalability and resilience. Collaborative approach: You work effectively with developers and cross-functional teams to align goals and deliver impactful yet simple solutions. Continuous learning : You keep developing your knowledge of cloud-native tools, technologies, and practices in a fast-moving ecosystem. How We Work The Platform Horizontal supports engineering teams across Catawiki by reducing infrastructure complexity and providing reliable, secure, and scalable foundations. We collaborate closely with product teams to understand their challenges and improve their development experience. We favour self-service capabilities, reusable solutions, automation, and measurable, gradual improvements. We share knowledge and treat reliability, security, quality, and developer experience as shared responsibilities. Where You'll Be This is a Hybrid role based in Lisbon. You will work from our Lisbon Hub a minimum of 2 days per week. This role is open to candidates worldwide. For selected candidates, Catawiki can provide visa sponsorship and relocation support to the relevant location , subject to eligibility and applicable restrictions. In Return You’ll be part of an enthusiastic, highly motivated team of 800+ Catawikians . A competitive Annual Gross Base Salary depending on your level, competencies, and overall experience. Meal Allowance Card stipend per working day, in addition to salary. Health Insurance from day 1 (including dental coverage), with access to multiple hospitals and clinics and a vast wellness network. A Work From Home Allowance to help with your monthly household bills. Commuting between your home and our office is covered by Catawiki. Amazing Office right in the centre of Lisbon. Why You'll Love Working with Us Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business. Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression. A culture of connection defines us . We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work. Celebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion ” . We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location. Our Offices and Way of Working Our vibrant offices in Amsterdam and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based. Interested? Apply with an English CV and Cover Letter. By applying, you agree to Catawiki’s Applicant Privacy Policy. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles. We may use artificial intelligence (AI) tools to support the review of your application. AI may help us assess how your experience matches the requirements of the role, but hiring decisions are always made by our recruitment team